PGS Catalog - anthropometric measurement [EFO:0004302] (Polygenic Trait)

Trait: anthropometric measurement

Experimental Factor Ontology (EFO) Information
Identifier	EFO_0004302
Description	Anthropometry is a measurement of the size, weight, and proportions of the human or other primate body.
Trait category	Other measurement
Synonyms	2 synonyms anthropometric traits anthropometry
Mapped term	MeSH:D000886
Child trait(s)	19 child traits BMI-adjusted waist-hip ratio adipose tissue measurement birth weight body composition measurement body fat percentage body height body mass index body weight body weights and measures fat body mass grip strength measurement hip circumference lean body mass overweight body mass index status sitting height measurement visceral adipose tissue measurement waist circumference waist-hip ratio whole body water mass

Associated Polygenic Score(s)

Note: This table shows all PGS for "anthropometric measurement" and any child terms of this trait in the EFO hierarchy by default. Include PGS Score(s) for child traits

Polygenic Score ID & Name	PGS Publication ID (PGP)	Reported Trait	Mapped Trait(s) (Ontology)	Number of Variants	Ancestry distribution GWAS Dev Eval	Scoring File (FTP Link)
PGS000027 (GPS_BMI)	PGP000017 \| Khera AV et al. Cell (2019)	Body mass index (BMI)	body mass index	2,100,302		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz - Check Terms/Licenses
PGS000034 (GRS_BMI)	PGP000021 \| Song M et al. Diabetes (2017)	Adult body mass index (BMI)	body mass index	97	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000034/ScoringFiles/PGS000034.txt.gz
PGS000297 (GRS3290_Height)	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Height	body height	3,290	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000297/ScoringFiles/PGS000297.txt.gz
PGS000298 (GRS941_BMI)	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Body mass index (BMI)	body mass index	941	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000298/ScoringFiles/PGS000298.txt.gz
PGS000299 (GRS462_WHRadjBMI)	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Waist-to-hip ratio (body mass index adjusted)	BMI-adjusted waist-hip ratio	462	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000299/ScoringFiles/PGS000299.txt.gz
PGS000320 (PRS_BMI)	PGP000096 \| Chami N et al. PLoS Med (2020)	Body mass index (BMI)	body mass index	263,640		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000320/ScoringFiles/PGS000320.txt.gz
PGS000716 (PGS295_elbs)	PGP000132 \| Richardson TG et al. BMJ (2020)	Early life body size	body mass index, comparative body size at age 10, self-reported	295	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000716/ScoringFiles/PGS000716.txt.gz
PGS000717 (PGS557_albs)	PGP000132 \| Richardson TG et al. BMJ (2020)	Adult life body size	body mass index	557	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.txt.gz
PGS000758 (LASSO_Height)	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Adult standing height	body height	33,938		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000758/ScoringFiles/PGS000758.txt.gz - Check Terms/Licenses
PGS000770 (PRS231)	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Body mass index (BMI)	body mass index	231		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000770/ScoringFiles/PGS000770.txt.gz
PGS000827 (WaistCircumference_PGS_M)	PGP000210 \| Zubair N et al. Sci Rep (2019)	Waist circumference (male)	waist circumference, male	113	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000827/ScoringFiles/PGS000827.txt.gz - Check Terms/Licenses
PGS000828 (WaistCircumference_PGS_F)	PGP000210 \| Zubair N et al. Sci Rep (2019)	Waist circumference (female)	waist circumference, female	149	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000828/ScoringFiles/PGS000828.txt.gz - Check Terms/Licenses
PGS000829 (BMI_PGS_M)	PGP000210 \| Zubair N et al. Sci Rep (2019)	Body mass index (BMI) (male)	body mass index, male	290	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000829/ScoringFiles/PGS000829.txt.gz - Check Terms/Licenses
PGS000830 (BMI_PGS_F)	PGP000210 \| Zubair N et al. Sci Rep (2019)	Body mass index (BMI) (female)	body mass index, female	372	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000830/ScoringFiles/PGS000830.txt.gz - Check Terms/Licenses
PGS000841 (BMI)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Body mass index (BMI)	body mass index	122	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000841/ScoringFiles/PGS000841.txt.gz
PGS000842 (WHR)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Waist-hip ratio	waist-hip ratio	39	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000842/ScoringFiles/PGS000842.txt.gz
PGS000843 (WHRadjBMI)	PGP000211 \| Aly DM et al. Nat Genet (2021)	WHR adjusted for BMI	BMI-adjusted waist-hip ratio	63	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000843/ScoringFiles/PGS000843.txt.gz
PGS000844 (VAT_Mass)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Predicted visceral adipose tissue	visceral adipose tissue measurement	518	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000844/ScoringFiles/PGS000844.txt.gz
PGS000910 (PRS_BMI)	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Body mass index (BMI)	body mass index	735,440	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000910/ScoringFiles/PGS000910.txt.gz
PGS000921 (PRS_BMI)	PGP000243 \| Borisevich D et al. PLoS One (2021)	Body mass index (BMI)	body mass index	1,947,711		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000921/ScoringFiles/PGS000921.txt.gz
PGS000969 (GBE_INI20015)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Sitting height	sitting height measurement	36,345	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000969/ScoringFiles/PGS000969.txt.gz
PGS001002 (GBE_INI23102)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Whole body water mass	whole body water mass	35,046	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001002/ScoringFiles/PGS001002.txt.gz
PGS001006 (GBE_BIN_FC1002306)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Weight change compared with 1 year ago	body weight, self-reported trait	2,638	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001006/ScoringFiles/PGS001006.txt.gz
PGS001101 (GBE_INI23099)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body fat percentage	body fat percentage	27,396	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001101/ScoringFiles/PGS001101.txt.gz
PGS001102 (GBE_INI23123)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body fat percentage (left arm)	body fat percentage	25,266	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001102/ScoringFiles/PGS001102.txt.gz
PGS001103 (GBE_INI23115)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body fat percentage (left leg)	body fat percentage	28,134	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001103/ScoringFiles/PGS001103.txt.gz
PGS001104 (GBE_INI23111)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body fat percentage (right leg)	body fat percentage	28,163	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001104/ScoringFiles/PGS001104.txt.gz
PGS001105 (GBE_INI23127)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body fat percentage (trunk fat)	body fat percentage	25,651	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001105/ScoringFiles/PGS001105.txt.gz
PGS001106 (GBE_INI23119)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Arm fat percentage (R)	body fat percentage	23,943	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.txt.gz
PGS001119 (GBE_INI46)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Left hand grip strength	grip strength measurement	13,767	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001119/ScoringFiles/PGS001119.txt.gz
PGS001120 (GBE_INI47)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Right hand grip strength	grip strength measurement	12,644	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001120/ScoringFiles/PGS001120.txt.gz
PGS001144 (GBE_INI23124)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Arm fat mass (L)	fat body mass	23,676	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001144/ScoringFiles/PGS001144.txt.gz
PGS001145 (GBE_INI23120)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Arm fat mass (R)	fat body mass	23,528	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001145/ScoringFiles/PGS001145.txt.gz
PGS001146 (GBE_INI23121)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Arm fat-free mass (R)	fat body mass	29,063	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001146/ScoringFiles/PGS001146.txt.gz
PGS001147 (GBE_INI23112)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Leg fat mass (R)	fat body mass	23,565	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001147/ScoringFiles/PGS001147.txt.gz
PGS001148 (GBE_INI23128)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Trunk fat mass	fat body mass	29,233	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001148/ScoringFiles/PGS001148.txt.gz
PGS001149 (GBE_INI23100)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Whole body fat mass	fat body mass	27,550	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001149/ScoringFiles/PGS001149.txt.gz
PGS001154 (GBE_INI23110)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Impedance (left arm)	body composition measurement	26,740	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001154/ScoringFiles/PGS001154.txt.gz
PGS001155 (GBE_INI23108)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Impedance (left leg)	body composition measurement	28,999	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001155/ScoringFiles/PGS001155.txt.gz
PGS001156 (GBE_INI23109)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Impedance (right arm)	body composition measurement	30,140	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001156/ScoringFiles/PGS001156.txt.gz
PGS001157 (GBE_INI23107)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Impedance (right leg)	body composition measurement	30,300	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001157/ScoringFiles/PGS001157.txt.gz
PGS001158 (GBE_INI23118)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Left leg mass (predicted)	body composition measurement	30,421	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001158/ScoringFiles/PGS001158.txt.gz
PGS001159 (GBE_INI23114)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Right leg mass (predicted)	body composition measurement	32,103	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001159/ScoringFiles/PGS001159.txt.gz
PGS001160 (GBE_INI23130)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Trunk mass (predicted)	body composition measurement	32,685	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001160/ScoringFiles/PGS001160.txt.gz
PGS001161 (GBE_INI23106)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Whole body impedance	body composition measurement	32,218	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001161/ScoringFiles/PGS001161.txt.gz
PGS001162 (GBE_INI49)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Hip circumference	hip circumference	24,605	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001162/ScoringFiles/PGS001162.txt.gz
PGS001165 (GBE_INI23125)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Arm fat free mass (L)	lean body mass	30,360	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001165/ScoringFiles/PGS001165.txt.gz
PGS001166 (GBE_INI23117)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Leg fat-free mass (L)	lean body mass	30,340	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001166/ScoringFiles/PGS001166.txt.gz
PGS001167 (GBE_INI23113)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Leg fat-free mass (R)	lean body mass	32,046	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001167/ScoringFiles/PGS001167.txt.gz
PGS001168 (GBE_INI23129)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Trunk fat free mass	lean body mass	34,749	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001168/ScoringFiles/PGS001168.txt.gz
PGS001169 (GBE_INI23101)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Whole body fat free mass	lean body mass	34,486	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001169/ScoringFiles/PGS001169.txt.gz
PGS001226 (GBE_INI20022)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Birth weight	birth weight	6,278	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001226/ScoringFiles/PGS001226.txt.gz
PGS001227 (GBE_INI48)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Waist circumference	waist circumference	25,538	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001227/ScoringFiles/PGS001227.txt.gz
PGS001228 (GBE_INI21001)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body mass index (BMI)	body mass index	27,126	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001228/ScoringFiles/PGS001228.txt.gz
PGS001229 (GBE_INI50)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Standing height	body height	51,209	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001229/ScoringFiles/PGS001229.txt.gz
PGS001230 (GBE_INI21002)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body weight	body weight	31,222	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001230/ScoringFiles/PGS001230.txt.gz
PGS001234 (GBE_INI23126)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Left arm mass (predicted)	body weights and measures	30,666	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001234/ScoringFiles/PGS001234.txt.gz
PGS001235 (GBE_INI23122)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Right arm mass (predicted)	body weights and measures	28,988	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001235/ScoringFiles/PGS001235.txt.gz
PGS001241 (GBE_INI3143)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Ankle spacing width	anthropometric measurement	21,694	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001241/ScoringFiles/PGS001241.txt.gz
PGS001242 (GBE_INI4100)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Ankle spacing width (L)	anthropometric measurement	13,416	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001242/ScoringFiles/PGS001242.txt.gz
PGS001243 (GBE_INI4119)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Ankle spacing width (R)	anthropometric measurement	15,134	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001243/ScoringFiles/PGS001243.txt.gz
PGS001379 (GBE_INI22427)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Body surface area	anthropometric measurement	850	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001379/ScoringFiles/PGS001379.txt.gz
PGS001405 (GBE_INI12144)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Height	body height	3,166	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001405/ScoringFiles/PGS001405.txt.gz
PGS001825 (portability-PLR_278)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Overweight, obesity and other hyperalimentation	obesity, overweight body mass index status, overnutrition	13,009	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz
PGS001887 (portability-PLR_ankle_spacing)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Ankle spacing width	anthropometric measurement	89,827	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001887/ScoringFiles/PGS001887.txt.gz
PGS001892 (portability-PLR_birth_weight)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Birth weight	birth weight	35,060	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001892/ScoringFiles/PGS001892.txt.gz
PGS001917 (portability-PLR_fat_perc)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Body fat percentage	body fat percentage	107,244	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001917/ScoringFiles/PGS001917.txt.gz
PGS001927 (portability-PLR_hand_grip_strength)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Hand grip strength (mean of both)	grip strength measurement	73,846	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001927/ScoringFiles/PGS001927.txt.gz
PGS001929 (portability-PLR_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Standing height	body height	156,514	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001929/ScoringFiles/PGS001929.txt.gz
PGS001943 (portability-PLR_log_BMI)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	110,153	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001943/ScoringFiles/PGS001943.txt.gz
PGS001950 (portability-PLR_log_fat_free_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body fat-free mass	lean body mass	128,827	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001950/ScoringFiles/PGS001950.txt.gz
PGS001951 (portability-PLR_log_fat_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body fat mass	fat body mass	107,776	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001951/ScoringFiles/PGS001951.txt.gz
PGS001958 (portability-PLR_log_hip_circ)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Hip circumference	hip circumference	103,123	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001958/ScoringFiles/PGS001958.txt.gz
PGS001961 (portability-PLR_log_impedance)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Impedance of whole body	body composition measurement	119,500	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001961/ScoringFiles/PGS001961.txt.gz
PGS001983 (portability-PLR_log_waist_circ)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Waist circumference	waist circumference	96,496	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001983/ScoringFiles/PGS001983.txt.gz
PGS001984 (portability-PLR_log_water_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body water mass	whole body water mass	127,910	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001984/ScoringFiles/PGS001984.txt.gz
PGS002005 (portability-PLR_sitting_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Sitting height	sitting height measurement	118,423	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002005/ScoringFiles/PGS002005.txt.gz
PGS002033 (portability-ldpred2_278)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Overweight, obesity and other hyperalimentation	obesity, overweight body mass index status, overnutrition	846,292	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz
PGS002100 (portability-ldpred2_ankle_spacing)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Ankle spacing width	anthropometric measurement	917,925	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002100/ScoringFiles/PGS002100.txt.gz
PGS002105 (portability-ldpred2_birth_weight)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Birth weight	birth weight	827,714	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002105/ScoringFiles/PGS002105.txt.gz
PGS002133 (portability-ldpred2_fat_perc)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Body fat percentage	body fat percentage	995,419	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002133/ScoringFiles/PGS002133.txt.gz
PGS002143 (portability-ldpred2_hand_grip_strength)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Hand grip strength (mean of both)	grip strength measurement	966,283	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002143/ScoringFiles/PGS002143.txt.gz
PGS002146 (portability-ldpred2_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Standing height	body height	922,538	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002146/ScoringFiles/PGS002146.txt.gz
PGS002161 (portability-ldpred2_log_BMI)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	990,022	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002161/ScoringFiles/PGS002161.txt.gz
PGS002168 (portability-ldpred2_log_fat_free_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body fat-free mass	lean body mass	966,825	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002168/ScoringFiles/PGS002168.txt.gz
PGS002169 (portability-ldpred2_log_fat_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body fat mass	fat body mass	988,292	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002169/ScoringFiles/PGS002169.txt.gz
PGS002176 (portability-ldpred2_log_hip_circ)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Hip circumference	hip circumference	977,411	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002176/ScoringFiles/PGS002176.txt.gz
PGS002179 (portability-ldpred2_log_impedance)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Impedance of whole body	body composition measurement	978,109	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002179/ScoringFiles/PGS002179.txt.gz
PGS002201 (portability-ldpred2_log_waist_circ)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Waist circumference	waist circumference	984,035	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002201/ScoringFiles/PGS002201.txt.gz
PGS002202 (portability-ldpred2_log_water_mass)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Whole body water mass	whole body water mass	966,737	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002202/ScoringFiles/PGS002202.txt.gz
PGS002224 (portability-ldpred2_sitting_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Sitting height	sitting height measurement	910,252	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002224/ScoringFiles/PGS002224.txt.gz
PGS002251 (PRS97_BMI)	PGP000278 \| Dashti HS et al. BMC Med (2022)	Body mass index (BMI)	body mass index	97	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002251/ScoringFiles/PGS002251.txt.gz
PGS002313 (body_BMIz.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002313/ScoringFiles/PGS002313.txt.gz
PGS002332 (body_HEIGHTz.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002332/ScoringFiles/PGS002332.txt.gz
PGS002356 (body_WHRadjBMIz.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002356/ScoringFiles/PGS002356.txt.gz
PGS002360 (body_BMIz.BOLT-LMM-BBJ)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	920,920	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002360/ScoringFiles/PGS002360.txt.gz
PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	920,927	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002368/ScoringFiles/PGS002368.txt.gz
PGS002385 (body_BMIz.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	15,518	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002385/ScoringFiles/PGS002385.txt.gz
PGS002404 (body_HEIGHTz.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	56,984	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002404/ScoringFiles/PGS002404.txt.gz
PGS002428 (body_WHRadjBMIz.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	9,477	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002428/ScoringFiles/PGS002428.txt.gz
PGS002434 (body_BMIz.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	41,662	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002434/ScoringFiles/PGS002434.txt.gz
PGS002453 (body_HEIGHTz.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	103,911	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002453/ScoringFiles/PGS002453.txt.gz
PGS002477 (body_WHRadjBMIz.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	27,033	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002477/ScoringFiles/PGS002477.txt.gz
PGS002483 (body_BMIz.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	162,598	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002483/ScoringFiles/PGS002483.txt.gz
PGS002502 (body_HEIGHTz.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	262,080	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002502/ScoringFiles/PGS002502.txt.gz
PGS002526 (body_WHRadjBMIz.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	126,268	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002526/ScoringFiles/PGS002526.txt.gz
PGS002532 (body_BMIz.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	4,284	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002532/ScoringFiles/PGS002532.txt.gz
PGS002551 (body_HEIGHTz.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	27,070	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002551/ScoringFiles/PGS002551.txt.gz
PGS002575 (body_WHRadjBMIz.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	2,912	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002575/ScoringFiles/PGS002575.txt.gz
PGS002581 (body_BMIz.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	2,385	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002581/ScoringFiles/PGS002581.txt.gz
PGS002600 (body_HEIGHTz.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	18,937	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002600/ScoringFiles/PGS002600.txt.gz
PGS002624 (body_WHRadjBMIz.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	1,829	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002624/ScoringFiles/PGS002624.txt.gz
PGS002630 (body_BMIz.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	620,484	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002630/ScoringFiles/PGS002630.txt.gz
PGS002649 (body_HEIGHTz.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	478,839	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002649/ScoringFiles/PGS002649.txt.gz
PGS002673 (body_WHRadjBMIz.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	325,206	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002673/ScoringFiles/PGS002673.txt.gz
PGS002679 (body_BMIz.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Body mass index (BMI)	body mass index	987,879	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002679/ScoringFiles/PGS002679.txt.gz
PGS002698 (body_HEIGHTz.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	986,966	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002698/ScoringFiles/PGS002698.txt.gz
PGS002722 (body_WHRadjBMIz.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Waist-hip ratio	waist-hip ratio	984,160	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002722/ScoringFiles/PGS002722.txt.gz
PGS002748 (PRS_251)	PGP000361 \| Chiou JS et al. BMC Med (2022)	Height	body height	251	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002748/ScoringFiles/PGS002748.txt.gz
PGS002751 (GRSrare)	PGP000363 \| Sapkota Y et al. Nat Med (2022)	Body mass index (BMI)	body mass index	14		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002751/ScoringFiles/PGS002751.txt.gz
PGS002800 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,156,741	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002800/ScoringFiles/PGS002800.txt.gz
PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	975,455	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002801/ScoringFiles/PGS002801.txt.gz
PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,103,042	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002802/ScoringFiles/PGS002802.txt.gz
PGS002803 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	990,792	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002803/ScoringFiles/PGS002803.txt.gz
PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,099,005	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002804/ScoringFiles/PGS002804.txt.gz
PGS002805 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,245,514	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002805/ScoringFiles/PGS002805.txt.gz
PGS002811 (ASATadjbmi3_weights_select)	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Abdominal adipose tissue volumes adjusted for BMI and height	adipose tissue measurement	1,125,301	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002811/ScoringFiles/PGS002811.txt.gz
PGS002812 (GFATadjbmi3_weights_select)	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Gluteofemoral adipose tissue volumes adjusted for BMI and height	adipose tissue measurement	1,125,301	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002812/ScoringFiles/PGS002812.txt.gz
PGS002813 (VATadjbmi3_weights_select)	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Visceral adipose tissue volumes adjusted for BMI and height	visceral adipose tissue measurement	1,125,301	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002813/ScoringFiles/PGS002813.txt.gz
PGS002840 (ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,062,550		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002840/ScoringFiles/PGS002840.txt.gz
PGS002841 (ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	32,980		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002841/ScoringFiles/PGS002841.txt.gz
PGS002842 (ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	51,983		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002842/ScoringFiles/PGS002842.txt.gz
PGS002843 (ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	7,444,639		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002843/ScoringFiles/PGS002843.txt.gz
PGS002844 (ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002844/ScoringFiles/PGS002844.txt.gz
PGS002845 (ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,052,511		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002845/ScoringFiles/PGS002845.txt.gz
PGS002846 (ExPRSweb_BMI_21001-raw_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	32,526		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002846/ScoringFiles/PGS002846.txt.gz
PGS002847 (ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	51,370		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002847/ScoringFiles/PGS002847.txt.gz
PGS002848 (ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	7,444,629		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002848/ScoringFiles/PGS002848.txt.gz
PGS002849 (ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002849/ScoringFiles/PGS002849.txt.gz
PGS002850 (ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,053,861		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002850/ScoringFiles/PGS002850.txt.gz
PGS002851 (ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	32,697		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002851/ScoringFiles/PGS002851.txt.gz
PGS002852 (ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	51,563		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002852/ScoringFiles/PGS002852.txt.gz
PGS002853 (ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	7,446,664		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002853/ScoringFiles/PGS002853.txt.gz
PGS002854 (ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002854/ScoringFiles/PGS002854.txt.gz
PGS002855 (ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,044,654		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002855/ScoringFiles/PGS002855.txt.gz
PGS002856 (ExPRSweb_BMI_23104-raw_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	28,689		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002856/ScoringFiles/PGS002856.txt.gz
PGS002857 (ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	44,240		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002857/ScoringFiles/PGS002857.txt.gz
PGS002858 (ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	7,446,652		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002858/ScoringFiles/PGS002858.txt.gz
PGS002859 (ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Body mass index (BMI)	body mass index	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002859/ScoringFiles/PGS002859.txt.gz
PGS002964 (ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,291,379		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002964/ScoringFiles/PGS002964.txt.gz
PGS002965 (ExPRSweb_Height_50-irnt_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	34,284		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002965/ScoringFiles/PGS002965.txt.gz
PGS002966 (ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	49,307		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002966/ScoringFiles/PGS002966.txt.gz
PGS002967 (ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	10,297,259		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002967/ScoringFiles/PGS002967.txt.gz
PGS002968 (ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002968/ScoringFiles/PGS002968.txt.gz
PGS002969 (ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,296,068		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002969/ScoringFiles/PGS002969.txt.gz
PGS002970 (ExPRSweb_Height_50-raw_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,805		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002970/ScoringFiles/PGS002970.txt.gz
PGS002971 (ExPRSweb_Height_50-raw_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	44,500		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002971/ScoringFiles/PGS002971.txt.gz
PGS002972 (ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	10,297,262		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002972/ScoringFiles/PGS002972.txt.gz
PGS002973 (ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002973/ScoringFiles/PGS002973.txt.gz
PGS002974 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	66,842		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002974/ScoringFiles/PGS002974.txt.gz
PGS002975 (ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	22,154		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002975/ScoringFiles/PGS002975.txt.gz
PGS002976 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	22,443		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002976/ScoringFiles/PGS002976.txt.gz
PGS002977 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,851,736		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002977/ScoringFiles/PGS002977.txt.gz
PGS002978 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	996,356		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002978/ScoringFiles/PGS002978.txt.gz
PGS002979 (ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	280,347		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002979/ScoringFiles/PGS002979.txt.gz
PGS002980 (ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	2,469		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002980/ScoringFiles/PGS002980.txt.gz
PGS002981 (ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	2,500		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002981/ScoringFiles/PGS002981.txt.gz
PGS002982 (ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	912,901		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002982/ScoringFiles/PGS002982.txt.gz
PGS002983 (ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	915,020		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002983/ScoringFiles/PGS002983.txt.gz
PGS002984 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	67,333		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002984/ScoringFiles/PGS002984.txt.gz
PGS002985 (ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,267		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002985/ScoringFiles/PGS002985.txt.gz
PGS002986 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,700		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002986/ScoringFiles/PGS002986.txt.gz
PGS002987 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,661,426		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002987/ScoringFiles/PGS002987.txt.gz
PGS002988 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	996,840		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002988/ScoringFiles/PGS002988.txt.gz
PGS002989 (ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	282,132		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002989/ScoringFiles/PGS002989.txt.gz
PGS002990 (ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	6,903		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002990/ScoringFiles/PGS002990.txt.gz
PGS002991 (ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	7,080		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002991/ScoringFiles/PGS002991.txt.gz
PGS002992 (ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	464,103		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002992/ScoringFiles/PGS002992.txt.gz
PGS002993 (ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	915,553		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002993/ScoringFiles/PGS002993.txt.gz
PGS003124 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	224,595		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003124/ScoringFiles/PGS003124.txt.gz
PGS003125 (ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	256		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003125/ScoringFiles/PGS003125.txt.gz
PGS003126 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	351		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003126/ScoringFiles/PGS003126.txt.gz
PGS003127 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	344,981		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003127/ScoringFiles/PGS003127.txt.gz
PGS003128 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	1,116,425		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003128/ScoringFiles/PGS003128.txt.gz
PGS003129 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	281,336		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003129/ScoringFiles/PGS003129.txt.gz
PGS003130 (ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	4,280		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003130/ScoringFiles/PGS003130.txt.gz
PGS003131 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	5,164		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003131/ScoringFiles/PGS003131.txt.gz
PGS003132 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	41,698		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003132/ScoringFiles/PGS003132.txt.gz
PGS003133 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Thinness	body mass index	1,117,469		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003133/ScoringFiles/PGS003133.txt.gz
PGS003462 (LDPred2_BMI)	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Body mass index (BMI)	body mass index	749,106	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003462/ScoringFiles/PGS003462.txt.gz
PGS003484 (LDPred2_WHR)	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Waist-hip ratio	waist-hip ratio	855,882	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003484/ScoringFiles/PGS003484.txt.gz
PGS003485 (LDPred2_WHRadjBMI)	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	BMI-adjusted waist-hip ratio	BMI-adjusted waist-hip ratio	785,126	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003485/ScoringFiles/PGS003485.txt.gz
PGS003490 (cont-decay-ankle_spacing)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Ankle spacing width	body weights and measures	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003490/ScoringFiles/PGS003490.txt.gz
PGS003494 (cont-decay-birth_weight)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Birth weight	birth weight	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003494/ScoringFiles/PGS003494.txt.gz
PGS003509 (cont-decay-fat_perc)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Body fat percentage	body fat percentage	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003509/ScoringFiles/PGS003509.txt.gz
PGS003513 (cont-decay-hand_grip_strength)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Hand grip strength (mean of both)	grip strength measurement	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003513/ScoringFiles/PGS003513.txt.gz
PGS003514 (cont-decay-height)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Standing height	body height	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003514/ScoringFiles/PGS003514.txt.gz
PGS003525 (cont-decay-log_BMI)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Body mass index (BMI)	body mass index	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003525/ScoringFiles/PGS003525.txt.gz
PGS003531 (cont-decay-log_fat_free_mass)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Whole body fat-free mass	lean body mass	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003531/ScoringFiles/PGS003531.txt.gz
PGS003532 (cont-decay-log_fat_mass)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Whole body fat mass	fat body mass	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003532/ScoringFiles/PGS003532.txt.gz
PGS003538 (cont-decay-log_hip_circ)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Hip circumference	hip circumference	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003538/ScoringFiles/PGS003538.txt.gz
PGS003540 (cont-decay-log_impedance)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Impedance of whole body	whole body water mass	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003540/ScoringFiles/PGS003540.txt.gz
PGS003555 (cont-decay-log_waist_circ)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Waist circumference	waist circumference	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003555/ScoringFiles/PGS003555.txt.gz
PGS003556 (cont-decay-log_water_mass)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Whole body water mass	whole body water mass	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003556/ScoringFiles/PGS003556.txt.gz
PGS003569 (cont-decay-sitting_height)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Sitting height	sitting height measurement	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003569/ScoringFiles/PGS003569.txt.gz
PGS003835 (height_EUR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	4,847		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003835/ScoringFiles/PGS003835.txt.gz
PGS003836 (height_EUR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	564,325		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003836/ScoringFiles/PGS003836.txt.gz
PGS003837 (height_AFR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	49		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003837/ScoringFiles/PGS003837.txt.gz
PGS003838 (height_AFR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	752,195		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003838/ScoringFiles/PGS003838.txt.gz
PGS003839 (height_AFR_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	817,204		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003839/ScoringFiles/PGS003839.txt.gz
PGS003840 (height_AFR_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	300,880		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003840/ScoringFiles/PGS003840.txt.gz
PGS003841 (height_AFR_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	741,637		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003841/ScoringFiles/PGS003841.txt.gz
PGS003842 (bmi_EUR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	145,046		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003842/ScoringFiles/PGS003842.txt.gz
PGS003843 (bmi_EUR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	564,332		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003843/ScoringFiles/PGS003843.txt.gz
PGS003844 (bmi_AFR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	87		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003844/ScoringFiles/PGS003844.txt.gz
PGS003845 (bmi_AFR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	752,209		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003845/ScoringFiles/PGS003845.txt.gz
PGS003846 (bmi_AFR_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	817,189		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003846/ScoringFiles/PGS003846.txt.gz
PGS003847 (bmi_AFR_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	300,864		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003847/ScoringFiles/PGS003847.txt.gz
PGS003848 (bmi_AFR_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Body mass index (BMI)	body mass index	741,723		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003848/ScoringFiles/PGS003848.txt.gz
PGS003884 (BMI_PRScsx_ARB_AMRweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Body mass index (BMI)	body mass index	1,067,771	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003884/ScoringFiles/PGS003884.txt.gz
PGS003885 (BMI_PRScsx_ARB_ARBweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Body mass index (BMI)	body mass index	882,001	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003885/ScoringFiles/PGS003885.txt.gz
PGS003886 (BMI_PRScsx_ARB_EASweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Body mass index (BMI)	body mass index	941,406	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003886/ScoringFiles/PGS003886.txt.gz
PGS003887 (BMI_PRScsx_ARB_EURweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Body mass index (BMI)	body mass index	922,653	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003887/ScoringFiles/PGS003887.txt.gz
PGS003888 (Height_PRScsx_ARB_AMRweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	1,067,771	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003888/ScoringFiles/PGS003888.txt.gz
PGS003889 (Height_PRScsx_ARB_ARBweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	882,001	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003889/ScoringFiles/PGS003889.txt.gz
PGS003890 (Height_PRScsx_ARB_EASweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	941,406	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003890/ScoringFiles/PGS003890.txt.gz
PGS003891 (Height_PRScsx_ARB_EURweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	921,738	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003891/ScoringFiles/PGS003891.txt.gz
PGS003893 (INI48)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Waist circumference	waist circumference	31,406	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003893/ScoringFiles/PGS003893.txt.gz
PGS003894 (INI49)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Hip circumference	hip circumference	32,756	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003894/ScoringFiles/PGS003894.txt.gz
PGS003895 (INI50)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Standing height	body height	62,419	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003895/ScoringFiles/PGS003895.txt.gz
PGS003896 (INI20015)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Sitting height	sitting height measurement	44,543	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003896/ScoringFiles/PGS003896.txt.gz
PGS003897 (INI21001)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Body mass index (BMI)	body mass index	35,941	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003897/ScoringFiles/PGS003897.txt.gz
PGS003898 (INI21002)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Weight	body weight	38,592	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003898/ScoringFiles/PGS003898.txt.gz
PGS003899 (INI23099)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Body fat percentage	body fat percentage	34,374	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003899/ScoringFiles/PGS003899.txt.gz
PGS003900 (INI23100)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Whole body fat mass	fat body mass	33,555	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003900/ScoringFiles/PGS003900.txt.gz
PGS003901 (INI23101)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Whole body fat-free mass	lean body mass	42,786	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003901/ScoringFiles/PGS003901.txt.gz
PGS003902 (INI23102)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Whole body water mass	whole body water mass	43,166	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003902/ScoringFiles/PGS003902.txt.gz
PGS003904 (INI23106)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Impedance of whole body	body composition measurement	42,265	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003904/ScoringFiles/PGS003904.txt.gz
PGS003905 (INI23107)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Impedance of leg (R)	body composition measurement	38,218	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003905/ScoringFiles/PGS003905.txt.gz
PGS003906 (INI23108)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Impedance of leg (L)	body composition measurement	36,063	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003906/ScoringFiles/PGS003906.txt.gz
PGS003907 (INI23109)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Impedance of arm (R)	body composition measurement	35,455	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003907/ScoringFiles/PGS003907.txt.gz
PGS003908 (INI23110)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Impedance of arm (L)	body composition measurement	36,052	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003908/ScoringFiles/PGS003908.txt.gz
PGS003909 (INI23111)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat percentage (R)	body fat percentage	32,758	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003909/ScoringFiles/PGS003909.txt.gz
PGS003910 (INI23112)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat mass (R)	fat body mass	30,780	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003910/ScoringFiles/PGS003910.txt.gz
PGS003911 (INI23113)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat-free mass (R)	lean body mass	38,493	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003911/ScoringFiles/PGS003911.txt.gz
PGS003912 (INI23115)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat percentage (L)	body fat percentage	33,293	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003912/ScoringFiles/PGS003912.txt.gz
PGS003913 (INI23116)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat mass (L)	fat body mass	30,794	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003913/ScoringFiles/PGS003913.txt.gz
PGS003914 (INI23117)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Leg fat-free mass (L)	lean body mass	38,764	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003914/ScoringFiles/PGS003914.txt.gz
PGS003915 (INI23119)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat percentage (R)	body fat percentage	32,448	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003915/ScoringFiles/PGS003915.txt.gz
PGS003916 (INI23120)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat mass (R)	fat body mass	29,790	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003916/ScoringFiles/PGS003916.txt.gz
PGS003917 (INI23121)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat-free mass (R)	lean body mass	38,650	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003917/ScoringFiles/PGS003917.txt.gz
PGS003918 (INI23123)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat percentage (L)	body fat percentage	32,450	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003918/ScoringFiles/PGS003918.txt.gz
PGS003919 (INI23124)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat mass (L)	fat body mass	29,392	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003919/ScoringFiles/PGS003919.txt.gz
PGS003920 (INI23125)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Arm fat-free mass (L)	lean body mass	39,276	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003920/ScoringFiles/PGS003920.txt.gz
PGS003921 (INI23127)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Trunk fat percentage	body fat percentage	32,770	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003921/ScoringFiles/PGS003921.txt.gz
PGS003922 (INI23128)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Trunk fat mass	fat body mass	34,357	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003922/ScoringFiles/PGS003922.txt.gz
PGS003923 (INI23129)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Trunk fat-free mass	lean body mass	42,468	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003923/ScoringFiles/PGS003923.txt.gz
PGS003980 (dbslmm.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	1,039,020		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003980/ScoringFiles/PGS003980.txt.gz
PGS003995 (dbslmm.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	1,119,867	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003995/ScoringFiles/PGS003995.txt.gz
PGS003996 (lassosum.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	16,785		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003996/ScoringFiles/PGS003996.txt.gz
PGS004011 (lassosum.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	315,596	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004011/ScoringFiles/PGS004011.txt.gz
PGS004012 (lassosum.CV.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	437,695		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004012/ScoringFiles/PGS004012.txt.gz
PGS004022 (ldpred2.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	919,377		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004022/ScoringFiles/PGS004022.txt.gz
PGS004036 (ldpred2.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	929,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004036/ScoringFiles/PGS004036.txt.gz
PGS004037 (ldpred2.CV.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	919,377		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004037/ScoringFiles/PGS004037.txt.gz
PGS004050 (megaprs.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	609,706		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004050/ScoringFiles/PGS004050.txt.gz
PGS004065 (megaprs.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	980,499	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004065/ScoringFiles/PGS004065.txt.gz
PGS004066 (megaprs.CV.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	602,445		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004066/ScoringFiles/PGS004066.txt.gz
PGS004080 (prscs.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	1,011,571		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004080/ScoringFiles/PGS004080.txt.gz
PGS004095 (prscs.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	1,088,125	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004095/ScoringFiles/PGS004095.txt.gz
PGS004096 (prscs.CV.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	1,011,571		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004096/ScoringFiles/PGS004096.txt.gz
PGS004104 (pt_clump.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	83		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004104/ScoringFiles/PGS004104.txt.gz
PGS004119 (pt_clump.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	2,632	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004119/ScoringFiles/PGS004119.txt.gz
PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	23,190		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004120/ScoringFiles/PGS004120.txt.gz
PGS004134 (sbayesr.auto.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	782,021		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004134/ScoringFiles/PGS004134.txt.gz
PGS004149 (sbayesr.auto.GCST90018959.Height)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Height	body height	962,278	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004149/ScoringFiles/PGS004149.txt.gz
PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Body mass index (BMI)	body mass index	1,039,042		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004150/ScoringFiles/PGS004150.txt.gz
PGS004211 (height_1)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	21,950	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004211/ScoringFiles/PGS004211.txt.gz
PGS004212 (height_2)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	27,779	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004212/ScoringFiles/PGS004212.txt.gz
PGS004213 (height_3)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	21,984	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004213/ScoringFiles/PGS004213.txt.gz
PGS004214 (height_4)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	23,686	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004214/ScoringFiles/PGS004214.txt.gz
PGS004215 (height_5)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	22,938	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004215/ScoringFiles/PGS004215.txt.gz
PGS004216 (bmi_1)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Body mass index	body mass index	24,059	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004216/ScoringFiles/PGS004216.txt.gz
PGS004217 (bmi_2)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Body mass index	body mass index	24,706	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004217/ScoringFiles/PGS004217.txt.gz
PGS004218 (bmi_3)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Body mass index	body mass index	22,176	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004218/ScoringFiles/PGS004218.txt.gz
PGS004219 (bmi_4)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Body mass index	body mass index	25,971	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004219/ScoringFiles/PGS004219.txt.gz
PGS004220 (bmi_5)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Body mass index	body mass index	24,026	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004220/ScoringFiles/PGS004220.txt.gz
PGS004319 (GRS103_BMI)	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Body mass index	body mass index	103	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004319/ScoringFiles/PGS004319.txt.gz
PGS004373 (X23098.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Weight	body weight	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004373/ScoringFiles/PGS004373.txt.gz
PGS004374 (X23099.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Body fat percentage	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004374/ScoringFiles/PGS004374.txt.gz
PGS004375 (X23100.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Whole body fat mass	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004375/ScoringFiles/PGS004375.txt.gz
PGS004376 (X23101.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Whole body fat-free mass	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004376/ScoringFiles/PGS004376.txt.gz
PGS004377 (X23102.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Whole body water mass	whole body water mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004377/ScoringFiles/PGS004377.txt.gz
PGS004378 (X23104.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Body mass index (BMI)	body mass index	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004378/ScoringFiles/PGS004378.txt.gz
PGS004385 (X23111.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat percentage (right)	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004385/ScoringFiles/PGS004385.txt.gz
PGS004386 (X23112.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat mass (right)	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004386/ScoringFiles/PGS004386.txt.gz
PGS004387 (X23113.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat-free mass (right)	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004387/ScoringFiles/PGS004387.txt.gz
PGS004388 (X23114.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg predicted mass (right)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004388/ScoringFiles/PGS004388.txt.gz
PGS004389 (X23115.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat percentage (left)	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004389/ScoringFiles/PGS004389.txt.gz
PGS004390 (X23116.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat mass (left)	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004390/ScoringFiles/PGS004390.txt.gz
PGS004391 (X23117.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg fat-free mass (left)	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004391/ScoringFiles/PGS004391.txt.gz
PGS004392 (X23118.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Leg predicted mass (left)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004392/ScoringFiles/PGS004392.txt.gz
PGS004393 (X23119.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat percentage (right)	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004393/ScoringFiles/PGS004393.txt.gz
PGS004394 (X23120.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat mass (right)	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004394/ScoringFiles/PGS004394.txt.gz
PGS004395 (X23121.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat-free mass (right)	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004395/ScoringFiles/PGS004395.txt.gz
PGS004396 (X23122.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm predicted mass (right)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004396/ScoringFiles/PGS004396.txt.gz
PGS004397 (X23123.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat percentage (left)	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004397/ScoringFiles/PGS004397.txt.gz
PGS004398 (X23124.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat mass (left)	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004398/ScoringFiles/PGS004398.txt.gz
PGS004399 (X23125.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm fat-free mass (left)	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004399/ScoringFiles/PGS004399.txt.gz
PGS004400 (X23126.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Arm predicted mass (left)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004400/ScoringFiles/PGS004400.txt.gz
PGS004401 (X23127.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Trunk fat percentage	body fat percentage	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004401/ScoringFiles/PGS004401.txt.gz
PGS004402 (X23128.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Trunk fat mass	fat body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004402/ScoringFiles/PGS004402.txt.gz
PGS004403 (X23129.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Trunk fat-free mass	lean body mass	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004403/ScoringFiles/PGS004403.txt.gz
PGS004404 (X23130.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Trunk predicted mass	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004404/ScoringFiles/PGS004404.txt.gz
PGS004405 (X48.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Waist circumference	waist circumference	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004405/ScoringFiles/PGS004405.txt.gz
PGS004406 (X49.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Hip circumference	hip circumference	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004406/ScoringFiles/PGS004406.txt.gz
PGS004407 (X50.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Standing height	body height	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004407/ScoringFiles/PGS004407.txt.gz
PGS004408 (X20015.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Sitting height	sitting height measurement	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004408/ScoringFiles/PGS004408.txt.gz
PGS004409 (X21001.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Body mass index (BMI)	body mass index	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004409/ScoringFiles/PGS004409.txt.gz
PGS004410 (X21002.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Weight	body weight	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004410/ScoringFiles/PGS004410.txt.gz
PGS004412 (X3143.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Ankle spacing width	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004412/ScoringFiles/PGS004412.txt.gz
PGS004416 (X4100.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Ankle spacing width (left)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004416/ScoringFiles/PGS004416.txt.gz
PGS004421 (X4119.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Ankle spacing width (right)	body weights and measures	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004421/ScoringFiles/PGS004421.txt.gz
PGS004426 (X20022.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Birth weight	birth weight	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004426/ScoringFiles/PGS004426.txt.gz
PGS004428 (X46.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Hand grip strength (left)	grip strength measurement	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004428/ScoringFiles/PGS004428.txt.gz
PGS004429 (X47.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Hand grip strength (right)	grip strength measurement	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004429/ScoringFiles/PGS004429.txt.gz
PGS004609 (adult_BMI)	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Body mass index (BMI)	body mass index	1,127	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004609/ScoringFiles/PGS004609.txt.gz
PGS004610 (child_BMI)	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Body mass index (BMI)	body mass index	306	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004610/ScoringFiles/PGS004610.txt.gz
PGS004682 (height_AFR_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	906		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004682/ScoringFiles/PGS004682.txt.gz
PGS004683 (height_AFR_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	774,968		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004683/ScoringFiles/PGS004683.txt.gz
PGS004684 (height_AFR_PROSPER)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	859,897		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004684/ScoringFiles/PGS004684.txt.gz
PGS004685 (height_AFR_weighted_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	279,186		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004685/ScoringFiles/PGS004685.txt.gz
PGS004686 (height_AFR_weighted_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	872,587		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004686/ScoringFiles/PGS004686.txt.gz
PGS004733 (bmi_PRSmix_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Body mass index (BMI)	body mass index	1,915,187	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004733/ScoringFiles/PGS004733.txt.gz
PGS004734 (bmi_PRSmix_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Body mass index (BMI)	body mass index	4,081,121	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004734/ScoringFiles/PGS004734.txt.gz
PGS004735 (bmi_PRSmixPlus_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Body mass index (BMI)	body mass index	4,536,322	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004735/ScoringFiles/PGS004735.txt.gz
PGS004736 (bmi_PRSmixPlus_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Body mass index (BMI)	body mass index	4,081,121	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004736/ScoringFiles/PGS004736.txt.gz
PGS004779 (height_PRSmix_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	1,357,287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004779/ScoringFiles/PGS004779.txt.gz
PGS004780 (height_PRSmix_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	5,967,476	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004780/ScoringFiles/PGS004780.txt.gz
PGS004781 (height_PRSmixPlus_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	3,220,389	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004781/ScoringFiles/PGS004781.txt.gz
PGS004782 (height_PRSmixPlus_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	1,612,712	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004782/ScoringFiles/PGS004782.txt.gz
PGS004864 (PRS186_BMI)	PGP000611 \| de Toro-Martín J et al. JCI Insight (2018)	Body mass index (BMI)	body mass index	186	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004864/ScoringFiles/PGS004864.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance Metric ID (PPM)	Evaluated Score	PGS Sample Set ID (PSS)	Performance Source	Trait	PGS Effect Sizes (per SD change)	Classification Metrics	Other Metrics	Covariates Included in the Model	PGS Performance: Other Relevant Information
PPM000054	PGS000027 (GPS_BMI)	PSS000037\| European Ancestry\| 288,016 individuals	PGP000017 \| Khera AV et al. Cell (2019)	Reported Trait: Body mass index	β: 1.41	—	R²: 0.08526	First 10 genetic PCs	Beta is in units of kg/m^2
PPM001725	PGS000027 (GPS_BMI)	PSS000885\| European Ancestry\| 19,588 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between male siblings	OR: 2.21 [1.92, 2.54]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001726	PGS000027 (GPS_BMI)	PSS000886\| European Ancestry\| 21,499 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within female siblings	OR: 2.09 [1.74, 2.51]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001727	PGS000027 (GPS_BMI)	PSS000886\| European Ancestry\| 21,499 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between female siblings	OR: 2.13 [1.87, 2.43]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001728	PGS000027 (GPS_BMI)	PSS000887\| European Ancestry\| 26,323 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within male siblings	OR: 2.15 [1.91, 2.41]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001730	PGS000027 (GPS_BMI)	PSS000888\| European Ancestry\| 29,527 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within female siblings	OR: 1.87 [1.68, 2.09]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001731	PGS000027 (GPS_BMI)	PSS000888\| European Ancestry\| 29,527 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between female siblings	OR: 2.05 [1.89, 2.22]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001732	PGS000027 (GPS_BMI)	PSS000889\| European Ancestry\| 21,187 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within male siblings	OR: 2.0 [1.79, 2.23]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001733	PGS000027 (GPS_BMI)	PSS000889\| European Ancestry\| 21,187 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between male siblings	OR: 2.12 [1.96, 2.3]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001734	PGS000027 (GPS_BMI)	PSS000890\| European Ancestry\| 25,096 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within female siblings	OR: 2.0 [1.8, 2.21]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001735	PGS000027 (GPS_BMI)	PSS000890\| European Ancestry\| 25,096 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between female siblings	OR: 2.03 [1.88, 2.19]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001736	PGS000027 (GPS_BMI)	PSS000891\| European Ancestry\| 14,487 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within male siblings	OR: 1.9 [1.68, 2.14]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001769	PGS000027 (GPS_BMI)	PSS000911\| Greater Middle Eastern Ancestry\| 13,989 individuals	PGP000147 \| Thareja G et al. Nat Commun (2021) \|Ext.	Reported Trait: Body mass index	—	—	Pearson correlation coefficent (r): 0.22	—	—
PPM001737	PGS000027 (GPS_BMI)	PSS000891\| European Ancestry\| 14,487 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between male siblings	OR: 2.0 [1.83, 2.19]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001738	PGS000027 (GPS_BMI)	PSS000892\| European Ancestry\| 17,740 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within female siblings	OR: 1.72 [1.53, 1.93]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001739	PGS000027 (GPS_BMI)	PSS000892\| European Ancestry\| 17,740 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between female siblings	OR: 1.89 [1.74, 2.05]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001724	PGS000027 (GPS_BMI)	PSS000885\| European Ancestry\| 19,588 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity within male siblings	OR: 2.02 [1.66, 2.46]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001729	PGS000027 (GPS_BMI)	PSS000887\| European Ancestry\| 26,323 individuals	PGP000141 \| Brandkvist M et al. PLoS Med (2020) \|Ext.	Reported Trait: Obesity between male siblings	OR: 2.15 [1.97, 2.34]	—	—	Sex, time of measurement, age, PCs (1-20), genotyping batch	2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM016747	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Flat foot	OR: 2.1 β: 0.7 (0.2)	—	—	—	—
PPM016596	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Vitamin deficiency	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016783	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Corns and callosities	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016784	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute pain	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016785	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal glucose	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016570	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Myocardial infarction	OR: 2.5 β: 0.9 (0.1)	—	—	—	—
PPM016786	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic pain syndrome	OR: 2.1 β: 0.7 (0.2)	—	—	—	—
PPM016787	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute and chronic tonsillitis	OR: 1.8 β: 0.6 (0.2)	—	—	—	—
PPM016980	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Joint effusions	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016649	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Carbuncle and furuncle	OR: 3.7 β: 1.3 (0.2)	—	—	—	—
PPM016738	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of parathyroid gland	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016739	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of adrenal glands	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016740	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ingrowing nail	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016651	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gouty arthropathy	OR: 2.9 β: 1.1 (0.2)	—	—	—	—
PPM016652	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypoglycemia	OR: 3.1 β: 1.1 (0.2)	—	—	—	—
PPM016830	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Essential hypertension	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016831	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertension	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016832	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes mellitus	OR: 1.3 β: 0.3 (0.0)	—	—	—	—
PPM016833	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.4 β: 0.3 (0.0)	—	—	—	—
PPM016835	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Obesity	OR: 1.8 β: 0.6 (0.0)	—	—	—	—
PPM016836	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016837	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthritis; localized	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016838	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hyperlipidemia	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016839	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of lipoid metabolism	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016653	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis, generalized	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM014877	PGS000027 (GPS_BMI)	PSS009917\| European Ancestry\| 832 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Body mass index (last completed follow-up visit)	—	—	R²: 0.0729	—	—
PPM014878	PGS000027 (GPS_BMI)	PSS009916\| African Ancestry\| 369 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Body mass index (last completed follow-up visit)	—	—	R²: 0.0256	—	—
PPM014880	PGS000027 (GPS_BMI)	PSS009917\| European Ancestry\| 832 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Fasting plasma glucose (last completed follow-up visit)	β: 2.82 (0.87)	—	—	Age, sex, ancestry principal components, and baseline BMI	—
PPM014881	PGS000027 (GPS_BMI)	PSS009917\| European Ancestry\| 832 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Systolic blood pressure (last completed follow-up visit)	β: 1.09 (0.52)	—	—	Age, sex, ancestry principal components, and baseline BMI	—
PPM014882	PGS000027 (GPS_BMI)	PSS009917\| European Ancestry\| 832 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Obesity	HR: 1.26 [1.14, 1.38]	—	—	Sex, birth year, ancestry principal components, and baseline BMI	—
PPM014883	PGS000027 (GPS_BMI)	PSS009916\| African Ancestry\| 369 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Obesity	HR: 1.11 [0.96, 1.38]	—	—	Sex, birth year, ancestry principal components, and baseline BMI	—
PPM014879	PGS000027 (GPS_BMI)	PSS009917\| European Ancestry\| 832 individuals	PGP000349 \| Shi M et al. Circ Genom Precis Med (2022) \|Ext.	Reported Trait: Body mass index (last completed follow-up visit)	β: 1.29 (0.22)	—	—	Age, sex, PCs, PRS, baseline BMI	—
PPM014945	PGS000027 (GPS_BMI)	PSS009938\| European Ancestry\| 6,064 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Overweight	—	—	Odds Ratio (OR, 10th vs. 1st decile): 2.74 [1.64, 4.57]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014946	PGS000027 (GPS_BMI)	PSS009938\| European Ancestry\| 6,064 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Obesity	—	—	Odds Ratio (OR, 10th vs. 1st decile): 10.04 [5.92, 17.01]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014947	PGS000027 (GPS_BMI)	PSS009938\| European Ancestry\| 6,064 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Severe obesity	—	—	Odds Ratio (OR, 10th vs. 1st decile): 53.05 [17.64, 159.54]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014948	PGS000027 (GPS_BMI)	PSS009937\| African Ancestry\| 449 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Underweight	—	—	Odds Ratio (OR, 10th vs. 1st decile): 0.0 [0.0, 0.37]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014950	PGS000027 (GPS_BMI)	PSS009937\| African Ancestry\| 449 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Obesity	—	—	Odds Ratio (OR, 10th vs. 1st decile): 5.92 [1.67, 20.96]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014951	PGS000027 (GPS_BMI)	PSS009937\| African Ancestry\| 449 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Severe obesity	—	—	Odds Ratio (OR, 10th vs. 1st decile): 19.68 [2.87, 135.02]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014949	PGS000027 (GPS_BMI)	PSS009937\| African Ancestry\| 449 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022) \|Ext.	Reported Trait: Overweight	—	—	Odds Ratio (OR, 10th vs. 1st decile): 3.53 [1.03, 12.09]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM016535	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Obesity	OR: 26.7 β: 3.3 (0.1)	—	—	—	—
PPM016536	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Morbid obesity	OR: 77.0 β: 4.3 (0.1)	—	—	—	—
PPM016537	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes	OR: 6.8 β: 1.9 (0.1)	—	—	—	—
PPM016538	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes mellitus	OR: 6.4 β: 1.9 (0.1)	—	—	—	—
PPM016539	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bariatric surgery	OR: 110.6 β: 4.7 (0.2)	—	—	—	—
PPM016540	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sleep apnea	OR: 6.5 β: 1.9 (0.1)	—	—	—	—
PPM016541	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Eating disorder	OR: 61.2 β: 4.1 (0.2)	—	—	—	—
PPM016542	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Obstructive sleep apnea	OR: 5.8 β: 1.8 (0.1)	—	—	—	—
PPM016543	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other chronic nonalcoholic liver disease	OR: 7.9 β: 2.1 (0.1)	—	—	—	—
PPM016544	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic liver disease and cirrhosis	OR: 7.1 β: 2.0 (0.1)	—	—	—	—
PPM016545	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertension	OR: 3.7 β: 1.3 (0.1)	—	—	—	—
PPM016546	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Essential hypertension	OR: 3.6 β: 1.3 (0.1)	—	—	—	—
PPM016548	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Insulin pump user	OR: 7.7 β: 2.0 (0.1)	—	—	—	—
PPM016549	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with neurological manifestations	OR: 7.3 β: 2.0 (0.1)	—	—	—	—
PPM016550	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Polyneuropathy in diabetes	OR: 6.9 β: 1.9 (0.1)	—	—	—	—
PPM016551	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 1 diabetes	OR: 5.1 β: 1.6 (0.1)	—	—	—	—
PPM016552	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with renal manifestations	OR: 6.5 β: 1.9 (0.1)	—	—	—	—
PPM016553	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Edema	OR: 2.7 β: 1.0 (0.1)	—	—	—	—
PPM016554	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with ophthalmic manifestations	OR: 8.2 β: 2.1 (0.2)	—	—	—	—
PPM016555	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016556	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of intestine	OR: 3.3 β: 1.2 (0.1)	—	—	—	—
PPM016557	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetic retinopathy	OR: 7.2 β: 2.0 (0.2)	—	—	—	—
PPM016559	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Coronary atherosclerosis	OR: 2.5 β: 0.9 (0.1)	—	—	—	—
PPM016560	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute renal failure	OR: 2.9 β: 1.1 (0.1)	—	—	—	—
PPM016561	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Congestive heart failure; nonhypertensive	OR: 2.7 β: 1.0 (0.1)	—	—	—	—
PPM016562	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis NOS	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016563	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ischemic Heart Disease	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016564	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Renal failure	OR: 2.3 β: 0.9 (0.1)	—	—	—	—
PPM016565	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Shortness of breath	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016566	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertensive heart and/or renal disease	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016567	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gout	OR: 3.3 β: 1.2 (0.1)	—	—	—	—
PPM016568	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiomegaly	OR: 2.5 β: 0.9 (0.1)	—	—	—	—
PPM016571	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic venous insufficiency [CVI]	OR: 3.6 β: 1.3 (0.1)	—	—	—	—
PPM016572	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Panniculitis	OR: 31.2 β: 3.4 (0.4)	—	—	—	—
PPM016655	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Deep vein thrombosis	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016573	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Encounter for long-term (current) use of anticoagulants	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016574	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Fluid overload	OR: 3.5 β: 1.3 (0.1)	—	—	—	—
PPM016575	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory failure, insufficiency, arrest	OR: 2.6 β: 1.0 (0.1)	—	—	—	—
PPM016577	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hyperlipidemia	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016578	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Heart failure with preserved ejection fraction [Diastolic heart failure]	OR: 3.5 β: 1.3 (0.1)	—	—	—	—
PPM016579	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gout and other crystal arthropathies	OR: 2.8 β: 1.0 (0.1)	—	—	—	—
PPM016595	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Mixed hyperlipidemia	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016746	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Fasciitis	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016840	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sleep apnea	OR: 1.4 β: 0.4 (0.0)	—	—	—	—
PPM016841	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypercholesterolemia	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016285	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: BMI	—	—	R²: 0.0747	—	—
PPM016582	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Depression	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016583	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes type 2 with peripheral circulatory disorders	OR: 7.0 β: 1.9 (0.2)	—	—	—	—
PPM016584	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ventral hernia	OR: 5.2 β: 1.6 (0.2)	—	—	—	—
PPM016585	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of lipoid metabolism	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016586	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Mood disorders	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016587	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary heart disease	OR: 2.5 β: 0.9 (0.1)	—	—	—	—
PPM016588	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gastrojejunal ulcer	OR: 61.0 β: 4.1 (0.4)	—	—	—	—
PPM016589	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic pulmonary heart disease	OR: 2.8 β: 1.0 (0.1)	—	—	—	—
PPM016590	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dysmetabolic syndrome X	OR: 8.0 β: 2.1 (0.2)	—	—	—	—
PPM016591	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Asthma	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016592	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic ulcer of skin	OR: 2.6 β: 1.0 (0.1)	—	—	—	—
PPM016593	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Superficial cellulitis and abscess	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016597	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other venous embolism and thrombosis	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016598	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Postoperative infection	OR: 3.0 β: 1.1 (0.1)	—	—	—	—
PPM016599	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Localized adiposity	OR: 13.0 β: 2.6 (0.3)	—	—	—	—
PPM016600	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016601	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthritis; localized	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016602	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory failure	OR: 2.8 β: 1.0 (0.1)	—	—	—	—
PPM016603	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other dyspnea	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016604	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis and cholecystitis	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016605	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of the kidney and ureters	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016607	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrial fibrillation	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016608	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016609	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Incisional hernia	OR: 4.5 β: 1.5 (0.2)	—	—	—	—
PPM016610	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bacterial infection NOS	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016611	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrial fibrillation and flutter	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016612	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis, localized, primary	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016613	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Septicemia	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016614	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other peripheral nerve disorders	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016615	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic ulcer of leg or foot	OR: 2.8 β: 1.0 (0.1)	—	—	—	—
PPM016617	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Wheezing	OR: 2.6 β: 1.0 (0.1)	—	—	—	—
PPM016618	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dependence on respirator [Ventilator] or supplemental oxygen	OR: 4.6 β: 1.5 (0.2)	—	—	—	—
PPM016619	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Heart failure	OR: 2.5 β: 0.9 (0.1)	—	—	—	—
PPM016620	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Swelling of limb	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016621	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic airway obstruction	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016622	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nephritis and nephropathy in diseases classified elsewhere	OR: 3.8 β: 1.3 (0.2)	—	—	—	—
PPM016623	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary congestion and hypostasis	OR: 2.6 β: 0.9 (0.1)	—	—	—	—
PPM016624	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Arthropathy	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016625	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Vitamin D deficiency	OR: 1.9 β: 0.6 (0.1)	—	—	—	—
PPM016626	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory abnormalities	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016627	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic obstructive asthma	OR: 3.4 β: 1.2 (0.2)	—	—	—	—
PPM016628	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other arthropathies	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016629	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Angina pectoris	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016630	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of trunk	OR: 3.1 β: 1.1 (0.2)	—	—	—	—
PPM016632	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Proteinuria	OR: 2.8 β: 1.0 (0.1)	—	—	—	—
PPM016633	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acquired acanthosis nigricans	OR: 16.3 β: 2.8 (0.4)	—	—	—	—
PPM016634	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Primary/intrinsic cardiomyopathies	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016635	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cirrhosis of liver without mention of alcohol	OR: 4.0 β: 1.4 (0.2)	—	—	—	—
PPM016636	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Decubitus ulcer	OR: 3.1 β: 1.1 (0.2)	—	—	—	—
PPM016637	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Iron deficiency anemias	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016638	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic Kidney Disease, Stage III	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016639	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other forms of chronic heart disease	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016640	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiomyopathy	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016641	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertensive heart disease	OR: 2.1 β: 0.8 (0.1)	—	—	—	—
PPM016642	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Unstable angina (intermediate coronary syndrome)	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016643	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spinal stenosis of lumbar region	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016644	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypoventilation	OR: 3.7 β: 1.3 (0.2)	—	—	—	—
PPM016646	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypercholesterolemia	OR: 1.6 β: 0.4 (0.1)	—	—	—	—
PPM016647	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Candidiasis of skin and nails	OR: 3.8 β: 1.3 (0.2)	—	—	—	—
PPM016648	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Obstructive chronic bronchitis	OR: 2.6 β: 1.0 (0.2)	—	—	—	—
PPM016650	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 1 diabetes with neurological manifestations	OR: 4.6 β: 1.5 (0.2)	—	—	—	—
PPM016656	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016657	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Umbilical hernia	OR: 3.1 β: 1.1 (0.2)	—	—	—	—
PPM016658	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Polycystic ovaries	OR: 7.0 β: 2.0 (0.3)	—	—	—	—
PPM016659	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Staphylococcus infections	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016660	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Paroxysmal ventricular tachycardia	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016661	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other symptoms of respiratory system	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016662	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute bronchitis and bronchiolitis	OR: 1.7 β: 0.5 (0.1)	—	—	—	—
PPM016663	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal function study of cardiovascular system	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016664	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diseases of esophagus	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016666	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteomyelitis	OR: 2.9 β: 1.1 (0.2)	—	—	—	—
PPM016667	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nephritis and nephropathy without mention of glomerulonephritis	OR: 2.4 β: 0.9 (0.2)	—	—	—	—
PPM016668	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Renal failure	OR: 2.3 β: 0.8 (0.1)	—	—	—	—
PPM016669	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other specified erythematous conditions	OR: 2.6 β: 1.0 (0.2)	—	—	—	—
PPM016670	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Megaloblastic anemia	OR: 3.2 β: 1.1 (0.2)	—	—	—	—
PPM016671	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic bronchitis	OR: 2.1 β: 0.8 (0.1)	—	—	—	—
PPM016672	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypothyroidism	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016673	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Portal hypertension	OR: 4.8 β: 1.6 (0.3)	—	—	—	—
PPM016674	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spinal stenosis	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016676	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Calcaneal spur; Exostosis	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016677	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Shock	OR: 2.7 β: 1.0 (0.2)	—	—	—	—
PPM016678	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Primary pulmonary hypertension	OR: 3.3 β: 1.2 (0.2)	—	—	—	—
PPM016680	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bursitis	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016681	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hyperglyceridemia	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016682	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac pacemaker/device in situ	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016683	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac defibrillator in situ	OR: 2.6 β: 1.0 (0.2)	—	—	—	—
PPM016684	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Vitamin B-complex deficiencies	OR: 2.3 β: 0.8 (0.2)	—	—	—	—
PPM016685	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Non-healing surgical wound	OR: 4.6 β: 1.5 (0.3)	—	—	—	—
PPM016686	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Orthopnea	OR: 5.7 β: 1.7 (0.3)	—	—	—	—
PPM016687	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypothyroidism	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016688	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis with other cholecystitis	OR: 2.6 β: 0.9 (0.2)	—	—	—	—
PPM016689	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gastroesophageal reflux disease	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016690	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Intestinal malabsorption (non-celiac)	OR: 3.2 β: 1.2 (0.2)	—	—	—	—
PPM016691	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nephritis; nephrosis; renal sclerosis	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016692	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Benign neoplasm of adrenal gland	OR: 6.1 β: 1.8 (0.3)	—	—	—	—
PPM016693	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Esophagitis, Gastroesophageal reflux disease and related diseases	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016694	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteomyelitis, periostitis, and other infections involving bone	OR: 2.4 β: 0.9 (0.2)	—	—	—	—
PPM016695	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Infection/inflammation of internal prosthetic device; implant; and graft	OR: 2.1 β: 0.8 (0.1)	—	—	—	—
PPM016696	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ill-defined descriptions and complications of heart disease	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016697	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac conduction disorders	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016699	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sleep disorders	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016700	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute pulmonary heart disease	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016701	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac pacemaker in situ	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016702	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Left bundle branch block	OR: 2.2 β: 0.8 (0.2)	—	—	—	—
PPM016703	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Asthma with exacerbation	OR: 2.1 β: 0.7 (0.2)	—	—	—	—
PPM016704	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dermatophytosis	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016705	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of foot, toe	OR: 2.5 β: 0.9 (0.2)	—	—	—	—
PPM016706	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other vitamin B12 deficiency anemia	OR: 3.4 β: 1.2 (0.3)	—	—	—	—
PPM016707	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sinoatrial node dysfunction (Bradycardia)	OR: 2.1 β: 0.7 (0.2)	—	—	—	—
PPM016708	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Malignant neoplasm of uterus	OR: 3.9 β: 1.4 (0.3)	—	—	—	—
PPM016709	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Coagulation defects	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016711	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Intervertebral disc disorders	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016712	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic venous hypertension	OR: 6.1 β: 1.8 (0.4)	—	—	—	—
PPM016713	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dermatophytosis of nail	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016714	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic kidney disease, Stage I or II	OR: 2.1 β: 0.8 (0.2)	—	—	—	—
PPM016715	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Phlebitis and thrombophlebitis	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016716	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Joint effusions	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016717	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic ulcer of unspecified site	OR: 2.3 β: 0.8 (0.2)	—	—	—	—
PPM016718	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other deficiency anemia	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016719	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hidradenitis	OR: 6.4 β: 1.9 (0.4)	—	—	—	—
PPM016720	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pain	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016721	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Difficulty in walking	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016722	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dermatophytosis / Dermatomycosis	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016724	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abdominal hernia	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016725	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Displacement of intervertebral disc	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016726	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ovarian dysfunction	OR: 3.3 β: 1.2 (0.3)	—	—	—	—
PPM016727	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Neuralgia, neuritis, and radiculitis	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016728	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Postphlebitic syndrome	OR: 6.8 β: 1.9 (0.4)	—	—	—	—
PPM016729	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nonspecific chest pain	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016730	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins of lower extremity	OR: 1.7 β: 0.5 (0.1)	—	—	—	—
PPM016731	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Complication of internal orthopedic device	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016732	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary embolism and infarction, acute	OR: 1.9 β: 0.7 (0.2)	—	—	—	—
PPM016733	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other hypertensive complications	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016734	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrial flutter	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016736	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Athlete’s foot	OR: 1.8 β: 0.6 (0.1)	—	—	—	—
PPM016737	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholecystitis without cholelithiasis	OR: 2.2 β: 0.8 (0.2)	—	—	—	—
PPM016741	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other local infections of skin and subcutaneous tissue	OR: 1.7 β: 0.5 (0.1)	—	—	—	—
PPM016742	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic pain	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016743	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Arrhythmia (cardiac) NOS	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016744	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac dysrhythmias	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016745	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bronchitis	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016748	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Endometrial hyperplasia	OR: 3.3 β: 1.2 (0.3)	—	—	—	—
PPM016750	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nonrheumatic aortic valve disorders	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016751	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac arrest and ventricular fibrillation	OR: 2.2 β: 0.8 (0.2)	—	—	—	—
PPM016752	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dislocation	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016753	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Degeneration of intervertebral disc	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016754	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Barrett's esophagus	OR: 2.6 β: 0.9 (0.2)	—	—	—	—
PPM016755	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Back pain	OR: 1.3 β: 0.2 (0.1)	—	—	—	—
PPM016756	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of sweat glands	OR: 2.5 β: 0.9 (0.2)	—	—	—	—
PPM016758	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atherosclerotic cardiovascular disease	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016759	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spondylosis and allied disorders	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016760	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other abnormal blood chemistry	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016761	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Restless legs syndrome	OR: 1.9 β: 0.7 (0.2)	—	—	—	—
PPM016762	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Synovitis and tenosynovitis	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016763	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac arrest	OR: 2.4 β: 0.9 (0.2)	—	—	—	—
PPM016764	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Symptoms and disorders of the joints	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016765	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Methicillin resistant Staphylococcus aureus	OR: 2.4 β: 0.9 (0.2)	—	—	—	—
PPM016766	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hyperparathyroidism	OR: 1.9 β: 0.7 (0.2)	—	—	—	—
PPM016767	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016768	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spondylosis without myelopathy	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016770	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Arthropathy associated with other disorders classified elsewhere	OR: 3.4 β: 1.2 (0.3)	—	—	—	—
PPM016771	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Internal derangement of knee	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016772	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Noninfectious disorders of lymphatic channels	OR: 2.1 β: 0.7 (0.2)	—	—	—	—
PPM016773	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic tonsillitis and adenoiditis	OR: 2.2 β: 0.8 (0.2)	—	—	—	—
PPM016774	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Secondary/extrinsic cardiomyopathies	OR: 1.9 β: 0.6 (0.2)	—	—	—	—
PPM016775	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Infective connective tissue disorders	OR: 5.2 β: 1.6 (0.5)	—	—	—	—
PPM016776	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other abnormal glucose	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016777	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal coagulation profile	OR: 1.7 β: 0.5 (0.2)	—	—	—	—
PPM016778	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Elevated sedimentation rate	OR: 2.3 β: 0.8 (0.3)	—	—	—	—
PPM016779	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spondylosis with myelopathy	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016780	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acquired foot deformities	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016781	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Adrenal hyperfunction	OR: 3.0 β: 1.1 (0.3)	—	—	—	—
PPM016788	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of pancreatic internal secretion	OR: 2.3 β: 0.8 (0.3)	—	—	—	—
PPM016789	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute sinusitis	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016790	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Rupture of tendon, nontraumatic	OR: 1.8 β: 0.6 (0.2)	—	—	—	—
PPM016791	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hemorrhagic disorder due to intrinsic circulating anticoagulants	OR: 2.2 β: 0.8 (0.3)	—	—	—	—
PPM016792	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sciatica	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016793	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Urinary incontinence	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016794	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Postlaminectomy syndrome	OR: 2.4 β: 0.9 (0.3)	—	—	—	—
PPM016795	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Dysthymic disorder	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016796	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diverticulitis	OR: 1.6 β: 0.5 (0.2)	—	—	—	—
PPM016798	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Precordial pain	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016799	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cushing's syndrome	OR: 3.7 β: 1.3 (0.4)	—	—	—	—
PPM016800	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrioventricular block	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016801	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Urinary calculus	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016802	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypersomnia	OR: 1.8 β: 0.6 (0.2)	—	—	—	—
PPM016803	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Otitis externa	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016804	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Retinal edema	OR: 2.2 β: 0.8 (0.3)	—	—	—	—
PPM016805	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Myopathy	OR: 1.8 β: 0.6 (0.2)	—	—	—	—
PPM016806	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of fingers/toes	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM016808	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hirsutism	OR: 2.4 β: 0.9 (0.3)	—	—	—	—
PPM016809	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Suppurative and unspecified otitis media	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016810	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal electrocardiogram	OR: 1.3 β: 0.2 (0.1)	—	—	—	—
PPM016811	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of soft tissues	OR: 1.6 β: 0.5 (0.2)	—	—	—	—
PPM016812	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Psoriasis	OR: 1.6 β: 0.5 (0.2)	—	—	—	—
PPM016813	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diaphragmatic hernia	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016814	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other symptoms involving abdomen and pelvis	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016815	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of lipoid metabolism	OR: 1.7 β: 0.5 (0.2)	—	—	—	—
PPM016816	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Intervertebral disc disorder with myelopathy	OR: 2.3 β: 0.8 (0.3)	—	—	—	—
PPM016817	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Psoriasis vulgaris	OR: 1.6 β: 0.5 (0.2)	—	—	—	—
PPM016818	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Otitis media	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016819	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes insipidus	OR: 4.3 β: 1.5 (0.6)	—	—	—	—
PPM016820	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pilonidal cyst	OR: 3.7 β: 1.3 (0.5)	—	—	—	—
PPM016822	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acquired spondylolisthesis	OR: 1.6 β: 0.4 (0.2)	—	—	—	—
PPM016823	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Rotator cuff (capsule) sprain	OR: 1.5 β: 0.4 (0.2)	—	—	—	—
PPM016824	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Posttraumatic stress disorder	OR: 1.9 β: 0.6 (0.2)	—	—	—	—
PPM016825	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other nondiabetic retinopathy	OR: 1.7 β: 0.5 (0.2)	—	—	—	—
PPM016826	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other alveolar and parietoalveolar pneumonopathy	OR: 2.0 β: 0.7 (0.3)	—	—	—	—
PPM016827	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Peripheral enthesopathies and allied syndromes	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM016828	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Major depressive disorder	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016829	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Personality disorders	OR: 1.7 β: 0.5 (0.2)	—	—	—	—
PPM016843	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sleep disorders	OR: 1.3 β: 0.3 (0.0)	—	—	—	—
PPM016844	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other peripheral nerve disorders	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016845	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis and cholecystitis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016846	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016847	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other chronic ischemic heart disease, unspecified	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016848	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis, localized, primary	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016849	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016850	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic airway obstruction	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016851	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Angina pectoris	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016852	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Renal failure	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016854	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypothyroidism	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016855	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac dysrhythmias	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016856	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Myocardial infarction	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016857	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Coronary atherosclerosis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016858	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrial fibrillation and flutter	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016859	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis, generalized	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016860	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic renal failure	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016861	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bacterial infection	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016863	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 1 diabetes	OR: 1.3 β: 0.3 (0.0)	—	—	—	—
PPM016864	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Esophagitis, GERD and related diseases	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016865	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute renal failure	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016866	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic ulcer of leg or foot	OR: 1.5 β: 0.4 (0.0)	—	—	—	—
PPM016867	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diseases of esophagus	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016868	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholelithiasis with other cholecystitis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016869	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Umbilical hernia	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016871	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Shortness of breath	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016872	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other symptoms of respiratory system	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016873	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diaphragmatic hernia	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016874	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with neurological manifestations	OR: 1.7 β: 0.5 (0.0)	—	—	—	—
PPM016875	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of intestine	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016876	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic ulcer of skin	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016877	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic liver disease and cirrhosis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016878	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory failure	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016879	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary heart disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016880	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic bronchitis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016882	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Unstable angina (intermediate coronary syndrome)	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016883	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Major depressive disorder	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016884	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Depression	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016885	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic Kidney Disease, Stage III	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016886	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Heart failure NOS	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016887	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiomegaly	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016888	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Obstructive chronic bronchitis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016889	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetic retinopathy	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016981	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory abnormalities	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016890	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other chronic nonalcoholic liver disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016891	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abdominal hernia	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016893	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gout	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016894	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with ophthalmic manifestations	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016895	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gout and other crystal arthropathies	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016896	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: GERD	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016897	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Postoperative infection	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016898	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Iron deficiency anemias	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016899	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Staphylococcus infections	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016900	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spondylosis and allied disorders	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016901	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ventral hernia	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016902	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Mood disorders	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016903	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Edema	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016904	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spondylosis without myelopathy	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016905	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Intervertebral disc disorders	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016906	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Congestive heart failure	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016908	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute pulmonary heart disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016909	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cholecystitis without cholelithiasis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016910	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes type 2 with peripheral circulatory disorders	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016911	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Psoriasis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016912	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of synovium, tendon, and bursa	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016913	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spinal stenosis	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016914	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Psoriasis vulgaris	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016915	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016916	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Precordial pain	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016917	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nonspecific chest pain	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016918	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Back pain	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016919	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nonrheumatic aortic valve disorders	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016922	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Degeneration of intervertebral disc	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016923	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Symptoms and disorders of the joints	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016924	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Septicemia	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016926	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Peritoneal adhesions (postoperative) (postinfection)	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016927	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other local infections of skin and subcutaneous tissue	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016928	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Superficial cellulitis and abscess	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016929	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertensive chronic kidney disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016930	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins of lower extremity	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016931	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Phlebitis and thrombophlebitis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016932	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016933	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Urinary incontinence	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016935	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypoventilation	OR: 2.0 β: 0.7 (0.1)	—	—	—	—
PPM016936	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Liver abscess and sequelae of chronic liver disease	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016937	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other forms of chronic heart disease	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016938	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of sweat glands	OR: 1.3 β: 0.3 (0.0)	—	—	—	—
PPM016939	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac conduction disorders	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016940	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hidradenitis	OR: 1.7 β: 0.5 (0.1)	—	—	—	—
PPM016941	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Noninfectious disorders of lymphatic channels	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016942	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other deficiency anemia	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016943	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Megaloblastic anemia	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016944	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins of lower extremity, symptomtic	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016945	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic pulmonary heart disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016946	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Calcaneal spur; Exostosis NOS	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016948	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiomyopathy	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016949	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Displacement of intervertebral disc	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016950	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Urinary calculus	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016951	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Primary/intrinsic cardiomyopathies	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016952	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Rupture of tendon, nontraumatic	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016953	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal glucose	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016954	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Vitamin deficiency	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016955	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of pancreatic internal secretion	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016956	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other specified erythematous conditions	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016957	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypoglycemia	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016958	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Synovitis and tenosynovitis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016959	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sciatica	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016961	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Incisional hernia	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016962	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Vitamin B-complex deficiencies	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016963	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Fluid overload	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016964	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Renal failure NOS	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016965	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acquired foot deformities	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016966	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ingrowing nail	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016967	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acquired spondylolisthesis	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016968	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Malignant neoplasm of uterus	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016969	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other alveolar and parietoalveolar pneumonopathy	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016970	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Nephritis; nephrosis; renal sclerosis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016971	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bundle branch block	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016972	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrioventricular block	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016973	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Otitis externa	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016975	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Difficulty in walking	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016976	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016977	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cirrhosis of liver without mention of alcohol	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016978	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Decubitus ulcer	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016979	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of trunk	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016982	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Polycystic ovaries	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016984	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic venous insufficiency	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016985	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other venous embolism and thrombosis	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016986	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Mixed hyperlipidemia	OR: 1.4 β: 0.4 (0.1)	—	—	—	—
PPM016987	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of the kidney and ureters	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016988	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Barrett's esophagus	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016989	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other abnormal blood chemistry	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM016990	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other arthropathies	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016991	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other abnormal glucose	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM016992	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Complication of internal orthopedic device	OR: 1.3 β: 0.2 (0.1)	—	—	—	—
PPM016993	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of soft tissues	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016994	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pilonidal cyst	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM016996	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Localized adiposity	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016997	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Benign neoplasm of other endocrine glands and related structures	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016998	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac arrest and ventricular fibrillation	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016999	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ovarian dysfunction	OR: 1.3 β: 0.2 (0.1)	—	—	—	—
PPM017000	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Swelling of limb	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM017001	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 1 diabetes with neurological manifestations	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM017002	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes type 1 with peripheral circulatory disorders	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM017003	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Benign neoplasm of adrenal gland	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM017004	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Wheezing	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017005	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Disorders of adrenal glands	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017006	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Portal hypertension	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM017007	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteomyelitis	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017008	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Suppurative and unspecified otitis media	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017009	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteomyelitis, periostitis, and other infections involving bone	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017010	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cardiac arrest	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017011	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Endometrial hyperplasia	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017012	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Left bundle branch block	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017013	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Acute and chronic tonsillitis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017014	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Arthropathy associated with neurological disorders	OR: 1.5 β: 0.4 (0.1)	—	—	—	—
PPM017015	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Otitis media	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017016	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Atrial fibrillation	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017017	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sinoatrial node dysfunction (Bradycardia)	OR: 1.1 β: 0.1 (0.1)	—	—	—	—
PPM017018	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cancer of kidney and renal pelvis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017019	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Infective connective tissue disorders	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM017020	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other symptoms involving abdomen and pelvis	OR: 1.0 β: 0.0 (0.0)	—	—	—	—
PPM017021	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bronchitis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017022	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic tonsillitis and adenoiditis	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM017024	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Flat foot	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017025	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Myopathy	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017026	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gouty arthropathy	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017027	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bariatric surgery	OR: 1.6 β: 0.4 (0.2)	—	—	—	—
PPM017028	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Coagulation defects	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016534	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Overweight, obesity and other hyperalimentation	OR: 16.4 β: 2.8 (0.1)	—	—	—	—
PPM016547	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Gastrointestinal complications	OR: 12.3 β: 2.5 (0.1)	—	—	—	—
PPM016558	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Congestive heart failure (CHF) NOS	OR: 2.9 β: 1.1 (0.1)	—	—	—	—
PPM016569	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Abnormal weight gain	OR: 3.8 β: 1.3 (0.1)	—	—	—	—
PPM016576	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of leg, except foot	OR: 3.2 β: 1.2 (0.1)	—	—	—	—
PPM016580	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic renal failure [	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016581	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertensive chronic kidney disease	OR: 2.4 β: 0.9 (0.1)	—	—	—	—
PPM016594	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Heart failure with reduced ejection fraction [Systolic or combined heart failure]	OR: 3.0 β: 1.1 (0.1)	—	—	—	—
PPM016606	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other chronic ischemic heart disease, unspecified	OR: 2.2 β: 0.8 (0.1)	—	—	—	—
PPM016616	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Encounter for long-term (current) use of anticoagulants, antithrombotics, aspirin	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016631	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Encounter for long-term (current) use of aspirin	OR: 2.1 β: 0.7 (0.1)	—	—	—	—
PPM016645	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic Kidney Disease, Stage IV	OR: 2.7 β: 1.0 (0.2)	—	—	—	—
PPM016654	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Liver abscess and sequelae of chronic liver disease	OR: 3.7 β: 1.3 (0.2)	—	—	—	—
PPM016665	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Peritoneal adhesions (postoperative) (postinfection)	OR: 3.2 β: 1.2 (0.2)	—	—	—	—
PPM016675	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Bundle branch block	OR: 1.9 β: 0.7 (0.1)	—	—	—	—
PPM016679	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Osteoarthrosis involving more than one site, but not specified as generalized	OR: 2.5 β: 0.9 (0.2)	—	—	—	—
PPM016698	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Arthropathy associated with neurological disorders	OR: 8.6 β: 2.2 (0.4)	—	—	—	—
PPM016710	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hereditary and idiopathic peripheral neuropathy	OR: 1.7 β: 0.5 (0.1)	—	—	—	—
PPM016723	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified	OR: 1.6 β: 0.5 (0.1)	—	—	—	—
PPM016735	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Varicose veins of lower extremity, symptomatic	OR: 1.9 β: 0.7 (0.2)	—	—	—	—
PPM016749	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Phlebitis and thrombophlebitis of lower extremities	OR: 2.0 β: 0.7 (0.2)	—	—	—	—
PPM016757	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Sleep related movement disorders	OR: 1.8 β: 0.6 (0.2)	—	—	—	—
PPM016769	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Other disorders of synovium, tendon, and bursa	OR: 1.3 β: 0.3 (0.1)	—	—	—	—
PPM016782	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Diabetes type 1 with peripheral circulatory disorders	OR: 3.9 β: 1.4 (0.4)	—	—	—	—
PPM016797	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cancer of kidney and renal pelvis	OR: 1.9 β: 0.7 (0.2)	—	—	—	—
PPM016807	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Benign neoplasm of other endocrine glands and related structures	OR: 1.7 β: 0.6 (0.2)	—	—	—	—
PPM016821	PGS000027 (GPS_BMI)	PSS010097\| Multi-ancestry (including European)\| 405,432 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016834	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Overweight, obesity and other hyperalimentation	OR: 1.8 β: 0.6 (0.0)	—	—	—	—
PPM016842	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Ischemic Heart Disease	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016853	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypothyroidism NOS	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016862	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Internal derangement of knee	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016870	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Congestive heart failure; nonhypertensive	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016881	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Respiratory failure, insufficiency, arrest	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016892	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016907	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Pulmonary embolism and infarction, acute	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016920	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Peripheral enthesopathies and allied syndromes	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016921	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Spinal stenosis of lumbar region	OR: 1.2 β: 0.1 (0.0)	—	—	—	—
PPM016925	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hypertensive heart and/or renal disease	OR: 1.2 β: 0.2 (0.0)	—	—	—	—
PPM016934	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Phlebitis and thrombophlebitis of lower extremities	OR: 1.3 β: 0.2 (0.0)	—	—	—	—
PPM016947	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM016960	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Type 2 diabetes with renal manifestations	OR: 1.4 β: 0.3 (0.1)	—	—	—	—
PPM016974	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Primary pulmonary hypertension	OR: 1.3 β: 0.2 (0.1)	—	—	—	—
PPM016983	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Chronic Kidney Disease, Stage IV	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM016995	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Hereditary and idiopathic peripheral neuropathy	OR: 1.2 β: 0.2 (0.1)	—	—	—	—
PPM017023	PGS000027 (GPS_BMI)	PSS010096\| Multi-ancestry (including European)\| 65,174 individuals	PGP000416 \| Robinson JR et al. Obesity (Silver Spring) (2022) \|Ext.	Reported Trait: Cellulitis and abscess of fingers/toes	OR: 1.1 β: 0.1 (0.0)	—	—	—	—
PPM000072	PGS000034 (GRS_BMI)	PSS000050\| European Ancestry\| 5,640 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): 0.17 [0.03, 0.31]	—	—
PPM000071	PGS000034 (GRS_BMI)	PSS000048\| European Ancestry\| 5,956 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): 0.54 [0.38, 0.71]	—	—
PPM000073	PGS000034 (GRS_BMI)	PSS000051\| European Ancestry\| 2,942 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): -0.22 [-0.39, -0.05]	—	—
PPM000074	PGS000034 (GRS_BMI)	PSS000049\| European Ancestry\| 6,705 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): 0.6 [0.42, 0.77]	—	—
PPM000075	PGS000034 (GRS_BMI)	PSS000052\| European Ancestry\| 6,436 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): 0.07 [-0.04, 0.19]	—	—
PPM000076	PGS000034 (GRS_BMI)	PSS000045\| European Ancestry\| 1,699 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): 0.23 [0.02, 0.44]	—	—
PPM000077	PGS000034 (GRS_BMI)	PSS000046\| European Ancestry\| 1,634 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): -0.1 [-0.29, 0.09]	—	—
PPM000078	PGS000034 (GRS_BMI)	PSS000047\| European Ancestry\| 2,020 individuals	PGP000021 \| Song M et al. Diabetes (2017)	Reported Trait: mean BMI difference	—	—	β (per 10-allele increment): -0.01 [-0.16, 0.14]	—	—
PPM000757	PGS000297 (GRS3290_Height)	PSS000375\| European Ancestry\| 1,313 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1172	Sex, age	—
PPM000758	PGS000297 (GRS3290_Height)	PSS000376\| European Ancestry\| 1,354 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1368	Sex, age	—
PPM000759	PGS000297 (GRS3290_Height)	PSS000377\| European Ancestry\| 1,174 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1273	Sex, age	—
PPM000760	PGS000297 (GRS3290_Height)	PSS000378\| European Ancestry\| 1,095 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1382	Sex, age	—
PPM000756	PGS000297 (GRS3290_Height)	PSS000374\| European Ancestry\| 1,318 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1192	Sex, age	—
PPM000786	PGS000297 (GRS3290_Height)	PSS000369\| European Ancestry\| 334 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.087	Sex, age	—
PPM000787	PGS000297 (GRS3290_Height)	PSS000370\| European Ancestry\| 329 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0755	Sex, age	—
PPM000788	PGS000297 (GRS3290_Height)	PSS000371\| European Ancestry\| 288 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0887	Sex, age	—
PPM000789	PGS000297 (GRS3290_Height)	PSS000372\| European Ancestry\| 265 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0986	Sex, age	—
PPM000790	PGS000297 (GRS3290_Height)	PSS000373\| European Ancestry\| 245 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1158	Sex, age	—
PPM001768	PGS000297 (GRS3290_Height)	PSS000911\| Greater Middle Eastern Ancestry\| 13,989 individuals	PGP000147 \| Thareja G et al. Nat Commun (2021) \|Ext.	Reported Trait: Height	—	—	Pearson correlation coefficent (r): 0.15	—	—
PPM000791	PGS000298 (GRS941_BMI)	PSS000369\| European Ancestry\| 334 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0671	Sex, age	—
PPM000792	PGS000298 (GRS941_BMI)	PSS000370\| European Ancestry\| 329 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.057	Sex, age	—
PPM000793	PGS000298 (GRS941_BMI)	PSS000371\| European Ancestry\| 288 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0886	Sex, age	—
PPM000794	PGS000298 (GRS941_BMI)	PSS000372\| European Ancestry\| 265 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.092	Sex, age	—
PPM000795	PGS000298 (GRS941_BMI)	PSS000373\| European Ancestry\| 245 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.1194	Sex, age	—
PPM000763	PGS000298 (GRS941_BMI)	PSS000376\| European Ancestry\| 1,354 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0647	Sex, age	—
PPM000764	PGS000298 (GRS941_BMI)	PSS000377\| European Ancestry\| 1,174 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0655	Sex, age	—
PPM000765	PGS000298 (GRS941_BMI)	PSS000378\| European Ancestry\| 1,095 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0591	Sex, age	—
PPM000762	PGS000298 (GRS941_BMI)	PSS000375\| European Ancestry\| 1,313 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0612	Sex, age	—
PPM000761	PGS000298 (GRS941_BMI)	PSS000374\| European Ancestry\| 1,318 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Body mass index (kg/m2)	—	—	R²: 0.0579	Sex, age	—
PPM000766	PGS000299 (GRS462_WHRadjBMI)	PSS000376\| European Ancestry\| 1,354 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.0138	Sex, age, age^2, BMI	—
PPM000767	PGS000299 (GRS462_WHRadjBMI)	PSS000377\| European Ancestry\| 1,174 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.0141	Sex, age, age^2, BMI	—
PPM000768	PGS000299 (GRS462_WHRadjBMI)	PSS000378\| European Ancestry\| 1,095 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.0195	Sex, age, age^2, BMI	—
PPM000796	PGS000299 (GRS462_WHRadjBMI)	PSS000371\| European Ancestry\| 288 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.01	Sex, age, age^2, BMI	—
PPM000797	PGS000299 (GRS462_WHRadjBMI)	PSS000372\| European Ancestry\| 265 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.017	Sex, age, age^2, BMI	—
PPM000798	PGS000299 (GRS462_WHRadjBMI)	PSS000373\| European Ancestry\| 245 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Waist-to-hip ratio	—	—	R²: 0.0156	Sex, age, age^2, BMI	—
PPM000860	PGS000320 (PRS_BMI)	PSS000411\| European Ancestry\| 104 individuals	PGP000096 \| Chami N et al. PLoS Med (2020)	Reported Trait: Body mass index (BMI; kg/m^2) in MC4R carriers	—	—	Higher PRS in obese vs. normal weight MC4R mutation carriers (p-value): 1.70e-06	age, sex, 10 genetic PCs	—
PPM000859	PGS000320 (PRS_BMI)	PSS000412\| European Ancestry\| 256,770 individuals	PGP000096 \| Chami N et al. PLoS Med (2020)	Reported Trait: Body mass index (BMI; kg/m^2) in MC4R non-carriers	—	—	Higher PRS in obese vs. normal weight MC4R non-carriers (p-value): 2.00e-16	age, sex, 10 genetic PCs	—
PPM000858	PGS000320 (PRS_BMI)	PSS000413\| European Ancestry\| 451,508 individuals	PGP000096 \| Chami N et al. PLoS Med (2020)	Reported Trait: Body mass index (BMI; kg/m^2)	β: 1.29	—	R²: 0.0676	age, sex, 10 genetic PCs	—
PPM001708	PGS000716 (PGS295_elbs)	PSS000883\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 30-69.9	—	AUROC: 0.569 [0.564, 0.574]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001709	PGS000716 (PGS295_elbs)	PSS000876\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 12-15.9	—	AUROC: 0.656 [0.626, 0.686]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001710	PGS000716 (PGS295_elbs)	PSS000878\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 16-17.9	—	AUROC: 0.623 [0.589, 0.657]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001711	PGS000716 (PGS295_elbs)	PSS000880\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 18-23.9	—	AUROC: 0.601 [0.589, 0.612]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001712	PGS000716 (PGS295_elbs)	PSS000882\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 14-29.9	—	AUROC: 0.591 [0.582, 0.6]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001713	PGS000716 (PGS295_elbs)	PSS000884\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 30-69.9	—	AUROC: 0.568 [0.563, 0.573]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001707	PGS000716 (PGS295_elbs)	PSS000879\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 18-23.9	—	AUROC: 0.618 [0.594, 0.641]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001687	PGS000716 (PGS295_elbs)	PSS000879\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 18-23.9	—	AUROC: 0.619 [0.596, 0.643]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001688	PGS000716 (PGS295_elbs)	PSS000881\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 24-29.9	—	AUROC: 0.602 [0.585, 0.618]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001689	PGS000716 (PGS295_elbs)	PSS000883\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 30-69.9	—	AUROC: 0.569 [0.564, 0.574]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001690	PGS000716 (PGS295_elbs)	PSS000876\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 12-15.9	—	AUROC: 0.658 [0.628, 0.687]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001691	PGS000716 (PGS295_elbs)	PSS000878\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 16-17.9	—	AUROC: 0.624 [0.589, 0.658]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001692	PGS000716 (PGS295_elbs)	PSS000880\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 18-23.9	—	AUROC: 0.602 [0.59, 0.613]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001693	PGS000716 (PGS295_elbs)	PSS000882\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 14-29.9	—	AUROC: 0.591 [0.582, 0.6]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001633	PGS000716 (PGS295_elbs)	PSS000849\| European Ancestry\| 5,898 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Childhood body mass index	—	AUROC: 0.64	—	—	—
PPM001635	PGS000716 (PGS295_elbs)	PSS000847\| European Ancestry\| 3,997 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Adolescent body mass index	—	AUROC: 0.63	—	—	—
PPM001637	PGS000716 (PGS295_elbs)	PSS000848\| European Ancestry\| 2,199 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Adult body mass index	—	AUROC: 0.57	—	—	—
PPM001705	PGS000716 (PGS295_elbs)	PSS000875\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 12-15.9	—	AUROC: 0.739 [0.667, 0.811]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001706	PGS000716 (PGS295_elbs)	PSS000877\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 16-17.9	—	AUROC: 0.66 [0.566, 0.754]	—	—	Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001685	PGS000716 (PGS295_elbs)	PSS000875\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 12-15.9	—	AUROC: 0.735 [0.663, 0.806]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001686	PGS000716 (PGS295_elbs)	PSS000877\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 16-17.9	—	AUROC: 0.672 [0.577, 0.766]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001694	PGS000716 (PGS295_elbs)	PSS000884\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 30-69.9	—	AUROC: 0.568 [0.563, 0.573]	—	—	Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001714	PGS000717 (PGS557_albs)	PSS000875\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 12-15.9	—	AUROC: 0.664 [0.574, 0.753]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001715	PGS000717 (PGS557_albs)	PSS000877\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 16-17.9	—	AUROC: 0.691 [0.589, 0.793]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001716	PGS000717 (PGS557_albs)	PSS000879\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 18-23.9	—	AUROC: 0.624 [0.601, 0.646]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001717	PGS000717 (PGS557_albs)	PSS000881\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 24-29.9	—	AUROC: 0.623 [0.607, 0.639]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001719	PGS000717 (PGS557_albs)	PSS000876\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 12-15.9	—	AUROC: 0.587 [0.556, 0.618]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001720	PGS000717 (PGS557_albs)	PSS000878\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 16-17.9	—	AUROC: 0.615 [0.58, 0.649]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001722	PGS000717 (PGS557_albs)	PSS000882\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 14-29.9	—	AUROC: 0.598 [0.589, 0.607]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001723	PGS000717 (PGS557_albs)	PSS000884\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 30-69.9	—	AUROC: 0.582 [0.578, 0.587]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001718	PGS000717 (PGS557_albs)	PSS000883\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 30-69.9	—	AUROC: 0.597 [0.591, 0.602]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001695	PGS000717 (PGS557_albs)	PSS000875\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 12-15.9	—	AUROC: 0.66 [0.57, 0.75]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001696	PGS000717 (PGS557_albs)	PSS000877\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 16-17.9	—	AUROC: 0.661 [0.551, 0.77]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001699	PGS000717 (PGS557_albs)	PSS000883\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 30-69.9	—	AUROC: 0.6 [0.595, 0.605]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001634	PGS000717 (PGS557_albs)	PSS000849\| European Ancestry\| 5,898 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Childhood body mass index	—	AUROC: 0.61	—	—	—
PPM001636	PGS000717 (PGS557_albs)	PSS000847\| European Ancestry\| 3,997 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Adolescent body mass index	—	AUROC: 0.63	—	—	—
PPM001638	PGS000717 (PGS557_albs)	PSS000848\| European Ancestry\| 2,199 individuals	PGP000132 \| Richardson TG et al. BMJ (2020)	Reported Trait: Adult body mass index	—	AUROC: 0.6	—	—	—
PPM001702	PGS000717 (PGS557_albs)	PSS000880\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 18-23.9	—	AUROC: 0.595 [0.583, 0.607]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001703	PGS000717 (PGS557_albs)	PSS000882\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 14-29.9	—	AUROC: 0.602 [0.593, 0.611]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001704	PGS000717 (PGS557_albs)	PSS000884\| European Ancestry\| 62,541 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 30-69.9	—	AUROC: 0.585 [0.58, 0.589]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001721	PGS000717 (PGS557_albs)	PSS000880\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 18-23.9	—	AUROC: 0.592 [0.58, 0.604]	—	—	Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001697	PGS000717 (PGS557_albs)	PSS000879\| European Ancestry\| 12,179 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 18-23.9	—	AUROC: 0.629 [0.606, 0.652]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001698	PGS000717 (PGS557_albs)	PSS000881\| European Ancestry\| 17,139 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Obesity in individuals aged 24-29.9	—	AUROC: 0.627 [0.611, 0.643]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001700	PGS000717 (PGS557_albs)	PSS000876\| European Ancestry\| 3,124 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 12-15.9	—	AUROC: 0.591 [0.559, 0.623]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001701	PGS000717 (PGS557_albs)	PSS000878\| European Ancestry\| 2,896 individuals	PGP000140 \| Brandkvist M et al. Hum Mol Genet (2020) \|Ext.	Reported Trait: Overweight in individuals aged 16-17.9	—	AUROC: 0.618 [0.583, 0.653]	—	—	Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001931	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood	—	AUROC: 0.843 [0.796, 0.89]	Area under the precision-recall curve (AUPRC): 0.284 [0.102, 0.5]	Sex	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001932	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood (females)	OR: 0.62 [0.5, 0.75]	AUROC: 0.861 [0.814, 0.907]	Area under the precision-recall curve (AUPRC): 0.373 [0.087, 0.651]	—	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001930	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Standing height in adulthood	—	—	R²: 0.71 [0.679, 0.741]	Sex	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001933	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood (males)	OR: 0.7 [0.57, 0.83]	AUROC: 0.82 [0.731, 0.909]	Area under the precision-recall curve (AUPRC): 0.181 [0.044, 0.518]	—	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001929	PGS000758 (LASSO_Height)	PSS000969\| European Ancestry\| 81,902 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Standing height in adulthood	—	—	R²: 0.711 [0.708, 0.714]	Age, sex, recruitment center, genotyping array, PCs(1-20)	—
PPM001987	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity	—	—	Odds Ratio (OR_Trend): 1.19 [1.06, 1.33]	Age, sex, random effect (family relatedness)	—
PPM001988	PGS000770 (PRS231)	PSS000991\| European Ancestry\| 141 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity	—	—	Odds Ratio (OR_Trend): 1.12 [1.01, 1.25]	Age, sex, random effect (family relatedness)	—
PPM001989	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	AUROC: 0.661	—	Bootstrapping (n=1000)	—
PPM001990	PGS000770 (PRS231)	PSS000991\| European Ancestry\| 141 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	AUROC: 0.619	—	Bootstrapping (n=1000)	—
PPM001991	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	AUROC: 0.127 [0.04, 0.22]	—	Age, sex, bootstrapping (n=1000)	—
PPM001992	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	—	Odds Ratio (OR, top 20% vs bottom 20%): 4.77 [1.54, 16.99]	Age, sex, random effect (family relatedness)	—
PPM001993	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	—	Odds Ratio (OR, middle 40-60% vs bottom 20%): 3.46 [1.11, 12.31]	Age, sex, random effect (family relatedness)	—
PPM001994	PGS000770 (PRS231)	PSS000991\| European Ancestry\| 141 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Obesity prevalence	—	—	Odds Ratio (OR, middle 60-80% vs bottom 20%): 3.79 [1.07, 15.86]	Age, sex, random effect (family relatedness)	—
PPM001995	PGS000770 (PRS231)	PSS000992\| European Ancestry\| 177 individuals	PGP000177 \| de Toro-Martín J et al. Front Genet (2019)	Reported Trait: Body mass index	β: 0.33	—	R²: 0.032	Sex, age	—
PPM002234	PGS000827 (WaistCircumference_PGS_M)	PSS001083\| Multi-ancestry (including European)\| 2,531 individuals	PGP000210 \| Zubair N et al. Sci Rep (2019)	Reported Trait: Waist circumference (male)	—	—	R²: 0.018	Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor	—
PPM002233	PGS000828 (WaistCircumference_PGS_F)	PSS001083\| Multi-ancestry (including European)\| 2,531 individuals	PGP000210 \| Zubair N et al. Sci Rep (2019)	Reported Trait: Waist circumference (female)	—	—	R²: 0.032	Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor	—
PPM002236	PGS000829 (BMI_PGS_M)	PSS001083\| Multi-ancestry (including European)\| 2,531 individuals	PGP000210 \| Zubair N et al. Sci Rep (2019)	Reported Trait: Body mass index (male)	—	—	R²: 0.017	Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor	—
PPM002235	PGS000830 (BMI_PGS_F)	PSS001083\| Multi-ancestry (including European)\| 2,531 individuals	PGP000210 \| Zubair N et al. Sci Rep (2019)	Reported Trait: Body mass index (female)	—	—	R²: 0.027	Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor	—
PPM002288	PGS000841 (BMI)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.14 [1.03, 1.26]	—	—	PC1-10	—
PPM002289	PGS000841 (BMI)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.15 [1.07, 1.23]	—	—	PC1-10	—
PPM002290	PGS000841 (BMI)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.23 [1.14, 1.32]	—	—	PC1-10	—
PPM002291	PGS000841 (BMI)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.29 [1.21, 1.38]	—	—	PC1-10	—
PPM002292	PGS000841 (BMI)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.05 [0.99, 1.1]	—	—	PC1-10	—
PPM020165	PGS000841 (BMI)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.26 [1.12, 1.42]	—	—	sex	—
PPM020180	PGS000841 (BMI)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: BMI	β: 0.15427 (0.027228)	—	—	—	—
PPM020185	PGS000841 (BMI)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.27 [1.1, 1.47]	—	—	sex	—
PPM020197	PGS000841 (BMI)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.31 [1.12, 1.53]	—	—	sex	—
PPM020208	PGS000841 (BMI)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 0.79 [0.65, 0.97]	—	—	sex	—
PPM002293	PGS000842 (WHR)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.13 [1.02, 1.25]	—	—	PC1-10	—
PPM002295	PGS000842 (WHR)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.14 [1.06, 1.22]	—	—	PC1-10	—
PPM002296	PGS000842 (WHR)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.1 [1.03, 1.18]	—	—	PC1-10	—
PPM002297	PGS000842 (WHR)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.03 [0.98, 1.08]	—	—	PC1-10	—
PPM002294	PGS000842 (WHR)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.04 [0.97, 1.11]	—	—	PC1-10	—
PPM020166	PGS000842 (WHR)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.17 [1.04, 1.32]	—	—	sex	—
PPM020181	PGS000842 (WHR)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: BMI	β: 0.05687 (0.027539)	—	—	—	—
PPM020186	PGS000842 (WHR)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.22 [1.06, 1.41]	—	—	sex	—
PPM002298	PGS000843 (WHRadjBMI)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.19 [1.08, 1.31]	—	—	PC1-10	—
PPM002299	PGS000843 (WHRadjBMI)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.09 [1.02, 1.17]	—	—	PC1-10	—
PPM002300	PGS000843 (WHRadjBMI)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.15 [1.07, 1.24]	—	—	PC1-10	—
PPM002301	PGS000843 (WHRadjBMI)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.03 [0.96, 1.1]	—	—	PC1-10	—
PPM002302	PGS000843 (WHRadjBMI)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.05 [0.99, 1.1]	—	—	PC1-10	—
PPM002303	PGS000844 (VAT_Mass)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.17 [1.06, 1.29]	—	—	PC1-10	—
PPM002305	PGS000844 (VAT_Mass)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.26 [1.18, 1.36]	—	—	PC1-10	—
PPM002306	PGS000844 (VAT_Mass)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.49 [1.39, 1.6]	—	—	PC1-10	—
PPM002307	PGS000844 (VAT_Mass)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.1 [1.04, 1.16]	—	—	PC1-10	—
PPM002304	PGS000844 (VAT_Mass)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.27 [1.18, 1.36]	—	—	PC1-10	—
PPM020182	PGS000844 (VAT_Mass)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: BMI	β: 0.14774 (0.027271)	—	—	—	—
PPM002930	PGS000910 (PRS_BMI)	PSS001433\| European Ancestry\| 5,719 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Sertraline takers	OR: 1.27 [1.19, 1.35]	—	Variance explained (Nagelkerke's R2*100): 1.57	sex, age at study enrollment, genetic PCs 1-20	—
PPM002931	PGS000910 (PRS_BMI)	PSS001429\| European Ancestry\| 4,365 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Escitalopram takers	OR: 1.22 [1.14, 1.31]	—	Variance explained (Nagelkerke's R2*100): 1.17	sex, age at study enrollment, genetic PCs 1-20	—
PPM002932	PGS000910 (PRS_BMI)	PSS001434\| European Ancestry\| 3,967 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Venlafaxine takers	OR: 1.23 [1.14, 1.32]	—	Variance explained (Nagelkerke's R2*100): 1.28	sex, age at study enrollment, genetic PCs 1-20	—
PPM002933	PGS000910 (PRS_BMI)	PSS001425\| European Ancestry\| 1,657 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Amitriptyline takers	OR: 1.27 [1.13, 1.42]	—	Variance explained (Nagelkerke's R2*100): 1.74	sex, age at study enrollment, genetic PCs 1-20	—
PPM002935	PGS000910 (PRS_BMI)	PSS001427\| European Ancestry\| 2,524 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Desvenlafaxine takers	OR: 1.24 [1.13, 1.36]	—	Variance explained (Nagelkerke's R2*100): 1.36	sex, age at study enrollment, genetic PCs 1-20	—
PPM002936	PGS000910 (PRS_BMI)	PSS001426\| European Ancestry\| 2,585 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Citalopram takers	OR: 1.39 [1.26, 1.53]	—	Variance explained (Nagelkerke's R2*100): 2.83	sex, age at study enrollment, genetic PCs 1-20	—
PPM002937	PGS000910 (PRS_BMI)	PSS001430\| European Ancestry\| 3,670 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Fluoxetine takers	OR: 1.3 [1.2, 1.4]	—	Variance explained (Nagelkerke's R2*100): 1.87	sex, age at study enrollment, genetic PCs 1-20	—
PPM002938	PGS000910 (PRS_BMI)	PSS001428\| European Ancestry\| 1,995 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Duloxetine takers	OR: 1.21 [1.1, 1.34]	—	Variance explained (Nagelkerke's R2*100): 1.26	sex, age at study enrollment, genetic PCs 1-20	—
PPM002934	PGS000910 (PRS_BMI)	PSS001431\| European Ancestry\| 1,987 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Mirtazapine takers	OR: 1.21 [1.1, 1.33]	—	Variance explained (Nagelkerke's R2*100): 1.23	sex, age at study enrollment, genetic PCs 1-20	—
PPM002939	PGS000910 (PRS_BMI)	PSS001432\| European Ancestry\| 1,580 individuals	PGP000238 \| Campos AI et al. Commun Med (Lond) (2021)	Reported Trait: Weight gain in Paroxetine takers	OR: 1.19 [1.06, 1.33]	—	Variance explained (Nagelkerke's R2*100): 0.84	sex, age at study enrollment, genetic PCs 1-20	—
PPM002993	PGS000921 (PRS_BMI)	PSS001456\| European Ancestry\| 5,179 individuals	PGP000243 \| Borisevich D et al. PLoS One (2021)	Reported Trait: Body mass index	β: 1.7 kg/m2	—	R²: 0.162 R2 (linear regression BMI ~ 1 + PRS): 0.131	age, sex	—
PPM007665	PGS000969 (GBE_INI20015)	PSS004888\| European Ancestry\| 24,825 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Sitting height	—	—	R²: 0.55998 [0.5518, 0.56815] Incremental R2 (full-covars): 0.12693 PGS R2 (no covariates): 0.13335 [0.12549, 0.14121]	age, sex, UKB array type, Genotype PCs	—
PPM007666	PGS000969 (GBE_INI20015)	PSS004889\| South Asian Ancestry\| 7,645 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Sitting height	—	—	R²: 0.52117 [0.50586, 0.53647] Incremental R2 (full-covars): 0.06153 PGS R2 (no covariates): 0.07384 [0.0627, 0.08499]	age, sex, UKB array type, Genotype PCs	—
PPM007667	PGS000969 (GBE_INI20015)	PSS004890\| European Ancestry\| 67,301 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Sitting height	—	—	R²: 0.56224 [0.55729, 0.5672] Incremental R2 (full-covars): 0.12957 PGS R2 (no covariates): 0.1276 [0.1229, 0.1323]	age, sex, UKB array type, Genotype PCs	—
PPM007663	PGS000969 (GBE_INI20015)	PSS004886\| African Ancestry\| 6,403 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Sitting height	—	—	R²: 0.3682 [0.34957, 0.38684] Incremental R2 (full-covars): 0.01039 PGS R2 (no covariates): 0.02603 [0.01839, 0.03367]	age, sex, UKB array type, Genotype PCs	—
PPM007664	PGS000969 (GBE_INI20015)	PSS004887\| East Asian Ancestry\| 1,698 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Sitting height	—	—	R²: 0.49052 [0.45671, 0.52434] Incremental R2 (full-covars): 0.04748 PGS R2 (no covariates): 0.07798 [0.05358, 0.10237]	age, sex, UKB array type, Genotype PCs	—
PPM007773	PGS001002 (GBE_INI23102)	PSS005051\| African Ancestry\| 6,305 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body water mass	—	—	R²: 0.59835 [0.58325, 0.61345] Incremental R2 (full-covars): 0.01006 PGS R2 (no covariates): 0.01762 [0.01128, 0.02396]	age, sex, UKB array type, Genotype PCs	—
PPM007774	PGS001002 (GBE_INI23102)	PSS005052\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body water mass	—	—	R²: 0.74997 [0.72945, 0.77049] Incremental R2 (full-covars): 0.00739 PGS R2 (no covariates): 0.0184 [0.00578, 0.03102]	age, sex, UKB array type, Genotype PCs	—
PPM007775	PGS001002 (GBE_INI23102)	PSS005053\| European Ancestry\| 24,466 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body water mass	—	—	R²: 0.75696 [0.7517, 0.76221] Incremental R2 (full-covars): 0.04635 PGS R2 (no covariates): 0.04558 [0.04052, 0.05064]	age, sex, UKB array type, Genotype PCs	—
PPM007776	PGS001002 (GBE_INI23102)	PSS005054\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body water mass	—	—	R²: 0.6942 [0.68292, 0.70548] Incremental R2 (full-covars): 0.03631 PGS R2 (no covariates): 0.02751 [0.02037, 0.03465]	age, sex, UKB array type, Genotype PCs	—
PPM007777	PGS001002 (GBE_INI23102)	PSS005055\| European Ancestry\| 66,264 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body water mass	—	—	R²: 0.75779 [0.75461, 0.76097] Incremental R2 (full-covars): 0.05245 PGS R2 (no covariates): 0.05076 [0.04753, 0.05399]	age, sex, UKB array type, Genotype PCs	—
PPM007793	PGS001006 (GBE_BIN_FC1002306)	PSS003760\| African Ancestry\| 6,079 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight change compared with 1 year ago	—	AUROC: 0.62073 [0.60627, 0.63518]	R²: 0.05769 Incremental AUROC (full-covars): -1e-05 PGS R2 (no covariates): 0.00038 PGS AUROC (no covariates): 0.50745 [0.49252, 0.52238]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007794	PGS001006 (GBE_BIN_FC1002306)	PSS003761\| East Asian Ancestry\| 1,602 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight change compared with 1 year ago	—	AUROC: 0.59942 [0.57137, 0.62747]	R²: 0.04761 Incremental AUROC (full-covars): 0.00968 PGS R2 (no covariates): 0.00719 PGS AUROC (no covariates): 0.53616 [0.5075, 0.56482]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007795	PGS001006 (GBE_BIN_FC1002306)	PSS003762\| European Ancestry\| 24,477 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight change compared with 1 year ago	—	AUROC: 0.57635 [0.56917, 0.58352]	R²: 0.02324 Incremental AUROC (full-covars): 0.00533 PGS R2 (no covariates): 0.00365 PGS AUROC (no covariates): 0.5289 [0.52165, 0.53616]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007796	PGS001006 (GBE_BIN_FC1002306)	PSS003763\| South Asian Ancestry\| 7,281 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight change compared with 1 year ago	—	AUROC: 0.60517 [0.59225, 0.61809]	R²: 0.04456 Incremental AUROC (full-covars): -0.00065 PGS R2 (no covariates): 0.00024 PGS AUROC (no covariates): 0.50809 [0.49482, 0.52135]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007797	PGS001006 (GBE_BIN_FC1002306)	PSS003764\| European Ancestry\| 66,390 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight change compared with 1 year ago	—	AUROC: 0.58453 [0.5802, 0.58886]	R²: 0.02896 Incremental AUROC (full-covars): 0.00463 PGS R2 (no covariates): 0.00376 PGS AUROC (no covariates): 0.5295 [0.5251, 0.5339]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008244	PGS001101 (GBE_INI23099)	PSS005036\| African Ancestry\| 6,300 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body fat %	—	—	R²: 0.58609 [0.57069, 0.6015] Incremental R2 (full-covars): -0.00196 PGS R2 (no covariates): 0.00632 [0.00248, 0.01016]	age, sex, UKB array type, Genotype PCs	—
PPM008245	PGS001101 (GBE_INI23099)	PSS005037\| East Asian Ancestry\| 1,677 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body fat %	—	—	R²: 0.43955 [0.40434, 0.47477] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.03564 [0.01839, 0.05289]	age, sex, UKB array type, Genotype PCs	—
PPM008246	PGS001101 (GBE_INI23099)	PSS005038\| European Ancestry\| 24,454 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body fat %	—	—	R²: 0.46731 [0.45827, 0.47636] Incremental R2 (full-covars): 0.0533 PGS R2 (no covariates): 0.04958 [0.04432, 0.05483]	age, sex, UKB array type, Genotype PCs	—
PPM008247	PGS001101 (GBE_INI23099)	PSS005039\| South Asian Ancestry\| 7,645 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body fat %	—	—	R²: 0.56822 [0.5538, 0.58263] Incremental R2 (full-covars): 0.01844 PGS R2 (no covariates): 0.0265 [0.01948, 0.03351]	age, sex, UKB array type, Genotype PCs	—
PPM008248	PGS001101 (GBE_INI23099)	PSS005040\| European Ancestry\| 66,227 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body fat %	—	—	R²: 0.51245 [0.50718, 0.51771] Incremental R2 (full-covars): 0.05409 PGS R2 (no covariates): 0.05282 [0.04954, 0.05611]	age, sex, UKB array type, Genotype PCs	—
PPM008253	PGS001102 (GBE_INI23123)	PSS005145\| European Ancestry\| 66,244 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (L)	—	—	R²: 0.51263 [0.50736, 0.5179] Incremental R2 (full-covars): 0.04899 PGS R2 (no covariates): 0.04847 [0.04531, 0.05163]	age, sex, UKB array type, Genotype PCs	—
PPM008249	PGS001102 (GBE_INI23123)	PSS005141\| African Ancestry\| 6,301 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (L)	—	—	Incremental R2 (full-covars): -3e-05 R²: 0.60446 [0.58951, 0.61941] PGS R2 (no covariates): 0.00397 [0.00092, 0.00702]	age, sex, UKB array type, Genotype PCs	—
PPM008250	PGS001102 (GBE_INI23123)	PSS005142\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (L)	—	—	R²: 0.47666 [0.44242, 0.5109] Incremental R2 (full-covars): 0.00986 PGS R2 (no covariates): 0.03708 [0.01951, 0.05465]	age, sex, UKB array type, Genotype PCs	—
PPM008251	PGS001102 (GBE_INI23123)	PSS005143\| European Ancestry\| 24,458 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (L)	—	—	R²: 0.46034 [0.45125, 0.46943] Incremental R2 (full-covars): 0.05013 PGS R2 (no covariates): 0.04532 [0.04027, 0.05037]	age, sex, UKB array type, Genotype PCs	—
PPM008252	PGS001102 (GBE_INI23123)	PSS005144\| South Asian Ancestry\| 7,648 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (L)	—	—	R²: 0.60959 [0.59609, 0.62308] Incremental R2 (full-covars): 0.02061 PGS R2 (no covariates): 0.02621 [0.01923, 0.03318]	age, sex, UKB array type, Genotype PCs	—
PPM008256	PGS001103 (GBE_INI23115)	PSS005108\| European Ancestry\| 24,461 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (L)	—	—	R²: 0.76237 [0.75721, 0.76752] Incremental R2 (full-covars): 0.02314 PGS R2 (no covariates): 0.01668 [0.01353, 0.01984]	age, sex, UKB array type, Genotype PCs	—
PPM008254	PGS001103 (GBE_INI23115)	PSS005106\| African Ancestry\| 6,304 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (L)	—	—	R²: 0.80234 [0.79373, 0.81095] Incremental R2 (full-covars): -0.00147 PGS R2 (no covariates): 0.0021 [-0.00012, 0.00432]	age, sex, UKB array type, Genotype PCs	—
PPM008255	PGS001103 (GBE_INI23115)	PSS005107\| East Asian Ancestry\| 1,679 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (L)	—	—	R²: 0.8031 [0.78638, 0.81982] Incremental R2 (full-covars): 2e-05 PGS R2 (no covariates): 0.01698 [0.00484, 0.02912]	age, sex, UKB array type, Genotype PCs	—
PPM008257	PGS001103 (GBE_INI23115)	PSS005109\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (L)	—	—	R²: 0.82056 [0.81337, 0.82776] Incremental R2 (full-covars): 0.00571 PGS R2 (no covariates): 0.00973 [0.00541, 0.01406]	age, sex, UKB array type, Genotype PCs	—
PPM008258	PGS001103 (GBE_INI23115)	PSS005110\| European Ancestry\| 66,256 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (L)	—	—	R²: 0.78472 [0.78184, 0.7876] Incremental R2 (full-covars): 0.02307 PGS R2 (no covariates): 0.02257 [0.02035, 0.02479]	age, sex, UKB array type, Genotype PCs	—
PPM008259	PGS001104 (GBE_INI23111)	PSS005086\| African Ancestry\| 6,305 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (R)	—	—	R²: 0.78127 [0.77187, 0.79066] Incremental R2 (full-covars): -0.00315 PGS R2 (no covariates): 0.00173 [-0.00029, 0.00375]	age, sex, UKB array type, Genotype PCs	—
PPM008260	PGS001104 (GBE_INI23111)	PSS005087\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (R)	—	—	R²: 0.78811 [0.77028, 0.80593] Incremental R2 (full-covars): 0.00106 PGS R2 (no covariates): 0.01989 [0.00679, 0.03299]	age, sex, UKB array type, Genotype PCs	—
PPM008261	PGS001104 (GBE_INI23111)	PSS005088\| European Ancestry\| 24,463 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (R)	—	—	R²: 0.74105 [0.73551, 0.74658] Incremental R2 (full-covars): 0.02472 PGS R2 (no covariates): 0.01874 [0.0154, 0.02207]	age, sex, UKB array type, Genotype PCs	—
PPM008262	PGS001104 (GBE_INI23111)	PSS005089\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (R)	—	—	R²: 0.7979 [0.78991, 0.80589] Incremental R2 (full-covars): 0.00504 PGS R2 (no covariates): 0.00957 [0.00528, 0.01386]	age, sex, UKB array type, Genotype PCs	—
PPM008263	PGS001104 (GBE_INI23111)	PSS005090\| European Ancestry\| 66,260 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat % (R)	—	—	R²: 0.7638 [0.76069, 0.76692] Incremental R2 (full-covars): 0.02467 PGS R2 (no covariates): 0.02454 [0.02223, 0.02685]	age, sex, UKB array type, Genotype PCs	—
PPM008264	PGS001105 (GBE_INI23127)	PSS005161\| African Ancestry\| 6,299 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat %	—	—	R²: 0.33345 [0.31474, 0.35216] Incremental R2 (full-covars): -0.0012 PGS R2 (no covariates): 0.01046 [0.00554, 0.01538]	age, sex, UKB array type, Genotype PCs	—
PPM008265	PGS001105 (GBE_INI23127)	PSS005162\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat %	—	—	R²: 0.13249 [0.10257, 0.16242] Incremental R2 (full-covars): 0.02072 PGS R2 (no covariates): 0.03925 [0.02121, 0.05729]	age, sex, UKB array type, Genotype PCs	—
PPM008266	PGS001105 (GBE_INI23127)	PSS005163\| European Ancestry\| 24,452 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat %	—	—	R²: 0.23391 [0.22471, 0.24311] Incremental R2 (full-covars): 0.07149 PGS R2 (no covariates): 0.07404 [0.06778, 0.0803]	age, sex, UKB array type, Genotype PCs	—
PPM008267	PGS001105 (GBE_INI23127)	PSS005164\| South Asian Ancestry\| 7,646 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat %	—	—	R²: 0.26434 [0.2476, 0.28109] Incremental R2 (full-covars): 0.03313 PGS R2 (no covariates): 0.04146 [0.03282, 0.05011]	age, sex, UKB array type, Genotype PCs	—
PPM008268	PGS001105 (GBE_INI23127)	PSS005165\| European Ancestry\| 66,224 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat %	—	—	R²: 0.26796 [0.26224, 0.27368] Incremental R2 (full-covars): 0.07557 PGS R2 (no covariates): 0.07501 [0.07118, 0.07883]	age, sex, UKB array type, Genotype PCs	—
PPM008269	PGS001106 (GBE_INI23119)	PSS005121\| African Ancestry\| 6,302 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (R)	—	—	R²: 0.61876 [0.60418, 0.63333] Incremental R2 (full-covars): 0.0012 PGS R2 (no covariates): 0.00365 [0.00072, 0.00657]	age, sex, UKB array type, Genotype PCs	—
PPM008270	PGS001106 (GBE_INI23119)	PSS005122\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (R)	—	—	R²: 0.46296 [0.42833, 0.49759] Incremental R2 (full-covars): 0.00917 PGS R2 (no covariates): 0.03415 [0.01724, 0.05107]	age, sex, UKB array type, Genotype PCs	—
PPM008271	PGS001106 (GBE_INI23119)	PSS005123\| European Ancestry\| 24,458 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (R)	—	—	R²: 0.45741 [0.4483, 0.46653] Incremental R2 (full-covars): 0.04769 PGS R2 (no covariates): 0.04324 [0.03829, 0.04818]	age, sex, UKB array type, Genotype PCs	—
PPM008272	PGS001106 (GBE_INI23119)	PSS005124\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (R)	—	—	R²: 0.62976 [0.61675, 0.64277] Incremental R2 (full-covars): 0.0194 PGS R2 (no covariates): 0.02347 [0.01685, 0.0301]	age, sex, UKB array type, Genotype PCs	—
PPM008273	PGS001106 (GBE_INI23119)	PSS005125\| European Ancestry\| 66,253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat % (R)	—	—	R²: 0.5084 [0.50311, 0.51369] Incremental R2 (full-covars): 0.04751 PGS R2 (no covariates): 0.04648 [0.04338, 0.04959]	age, sex, UKB array type, Genotype PCs	—
PPM008333	PGS001119 (GBE_INI46)	PSS007346\| African Ancestry\| 6,406 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (L)	—	—	R²: 0.46137 [0.44358, 0.47915] Incremental R2 (full-covars): -0.00082 PGS R2 (no covariates): 0.00155 [-0.00036, 0.00346]	age, sex, UKB array type, Genotype PCs	—
PPM008334	PGS001119 (GBE_INI46)	PSS007347\| East Asian Ancestry\| 1,696 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (L)	—	—	R²: 0.51785 [0.48497, 0.55073] Incremental R2 (full-covars): 0.00522 PGS R2 (no covariates): 0.01076 [0.00104, 0.02048]	age, sex, UKB array type, Genotype PCs	—
PPM008335	PGS001119 (GBE_INI46)	PSS007348\| European Ancestry\| 24,787 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (L)	—	—	R²: 0.54413 [0.53578, 0.55248] Incremental R2 (full-covars): 0.01167 PGS R2 (no covariates): 0.01075 [0.0082, 0.01329]	age, sex, UKB array type, Genotype PCs	—
PPM008336	PGS001119 (GBE_INI46)	PSS007349\| South Asian Ancestry\| 7,727 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (L)	—	—	R²: 0.48797 [0.47214, 0.50381] Incremental R2 (full-covars): 0.00538 PGS R2 (no covariates): 0.00871 [0.00462, 0.01281]	age, sex, UKB array type, Genotype PCs	—
PPM008337	PGS001119 (GBE_INI46)	PSS007350\| European Ancestry\| 67,154 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (L)	—	—	R²: 0.57766 [0.57281, 0.5825] Incremental R2 (full-covars): 0.01506 PGS R2 (no covariates): 0.01441 [0.01262, 0.0162]	age, sex, UKB array type, Genotype PCs	—
PPM008338	PGS001120 (GBE_INI47)	PSS007351\| African Ancestry\| 6,401 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (R)	—	—	R²: 0.46894 [0.45127, 0.48662] Incremental R2 (full-covars): 0.00206 PGS R2 (no covariates): 0.00239 [0.00002, 0.00476]	age, sex, UKB array type, Genotype PCs	—
PPM008339	PGS001120 (GBE_INI47)	PSS007352\| East Asian Ancestry\| 1,696 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (R)	—	—	R²: 0.52807 [0.49557, 0.56056] Incremental R2 (full-covars): 0.00381 PGS R2 (no covariates): 0.00613 [-0.00124, 0.01351]	age, sex, UKB array type, Genotype PCs	—
PPM008340	PGS001120 (GBE_INI47)	PSS007353\| European Ancestry\| 24,789 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (R)	—	—	R²: 0.55224 [0.54398, 0.5605] Incremental R2 (full-covars): 0.01267 PGS R2 (no covariates): 0.01229 [0.00957, 0.01501]	age, sex, UKB array type, Genotype PCs	—
PPM008341	PGS001120 (GBE_INI47)	PSS007354\| South Asian Ancestry\| 7,741 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (R)	—	—	R²: 0.48203 [0.46611, 0.49796] Incremental R2 (full-covars): 0.00822 PGS R2 (no covariates): 0.00897 [0.00481, 0.01312]	age, sex, UKB array type, Genotype PCs	—
PPM008342	PGS001120 (GBE_INI47)	PSS007355\| European Ancestry\| 67,185 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hand grip strength (R)	—	—	R²: 0.57637 [0.57152, 0.58123] Incremental R2 (full-covars): 0.01651 PGS R2 (no covariates): 0.01531 [0.01347, 0.01715]	age, sex, UKB array type, Genotype PCs	—
PPM008447	PGS001144 (GBE_INI23124)	PSS005146\| African Ancestry\| 6,301 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (L)	—	—	R²: 0.19829 [0.18093, 0.21564] Incremental R2 (full-covars): 0.01056 PGS R2 (no covariates): 0.0115 [0.00635, 0.01665]	age, sex, UKB array type, Genotype PCs	—
PPM008448	PGS001144 (GBE_INI23124)	PSS005147\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (L)	—	—	R²: 0.10217 [0.07498, 0.12937] Incremental R2 (full-covars): 0.01559 PGS R2 (no covariates): 0.04382 [0.02485, 0.06278]	age, sex, UKB array type, Genotype PCs	—
PPM008449	PGS001144 (GBE_INI23124)	PSS005148\| European Ancestry\| 24,458 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (L)	—	—	R²: 0.11004 [0.10271, 0.11737] Incremental R2 (full-covars): 0.07159 PGS R2 (no covariates): 0.07386 [0.06761, 0.08012]	age, sex, UKB array type, Genotype PCs	—
PPM008450	PGS001144 (GBE_INI23124)	PSS005149\| South Asian Ancestry\| 7,647 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (L)	—	—	R²: 0.16359 [0.14861, 0.17857] Incremental R2 (full-covars): 0.04415 PGS R2 (no covariates): 0.04982 [0.04043, 0.05921]	age, sex, UKB array type, Genotype PCs	—
PPM008451	PGS001144 (GBE_INI23124)	PSS005150\| European Ancestry\| 66,237 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (L)	—	—	R²: 0.1322 [0.12743, 0.13696] Incremental R2 (full-covars): 0.07627 PGS R2 (no covariates): 0.07725 [0.07338, 0.08112]	age, sex, UKB array type, Genotype PCs	—
PPM008452	PGS001145 (GBE_INI23120)	PSS005126\| African Ancestry\| 6,302 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (R)	—	—	R²: 0.20498 [0.18748, 0.22247] Incremental R2 (full-covars): 0.0099 PGS R2 (no covariates): 0.01125 [0.00615, 0.01635]	age, sex, UKB array type, Genotype PCs	—
PPM008453	PGS001145 (GBE_INI23120)	PSS005127\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (R)	—	—	R²: 0.1096 [0.08166, 0.13753] Incremental R2 (full-covars): 0.02033 PGS R2 (no covariates): 0.04736 [0.02771, 0.06701]	age, sex, UKB array type, Genotype PCs	—
PPM008454	PGS001145 (GBE_INI23120)	PSS005128\| European Ancestry\| 24,456 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (R)	—	—	R²: 0.11299 [0.10558, 0.12039] Incremental R2 (full-covars): 0.07263 PGS R2 (no covariates): 0.07483 [0.06855, 0.08112]	age, sex, UKB array type, Genotype PCs	—
PPM008455	PGS001145 (GBE_INI23120)	PSS005129\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (R)	—	—	R²: 0.1687 [0.15358, 0.18381] Incremental R2 (full-covars): 0.04455 PGS R2 (no covariates): 0.04978 [0.04039, 0.05916]	age, sex, UKB array type, Genotype PCs	—
PPM008456	PGS001145 (GBE_INI23120)	PSS005130\| European Ancestry\| 66,249 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat mass (R)	—	—	R²: 0.13668 [0.13186, 0.1415] Incremental R2 (full-covars): 0.07881 PGS R2 (no covariates): 0.07963 [0.07571, 0.08355]	age, sex, UKB array type, Genotype PCs	—
PPM008459	PGS001146 (GBE_INI23121)	PSS005133\| European Ancestry\| 24,458 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (R)	—	—	R²: 0.76277 [0.75762, 0.76791] Incremental R2 (full-covars): 0.03623 PGS R2 (no covariates): 0.03786 [0.03321, 0.04251]	age, sex, UKB array type, Genotype PCs	—
PPM008457	PGS001146 (GBE_INI23121)	PSS005131\| African Ancestry\| 6,302 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (R)	—	—	R²: 0.64816 [0.63439, 0.66193] Incremental R2 (full-covars): 0.00971 PGS R2 (no covariates): 0.01621 [0.01012, 0.02229]	age, sex, UKB array type, Genotype PCs	—
PPM008458	PGS001146 (GBE_INI23121)	PSS005132\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (R)	—	—	R²: 0.75781 [0.73783, 0.77779] Incremental R2 (full-covars): 0.0021 PGS R2 (no covariates): 0.01403 [0.00296, 0.0251]	age, sex, UKB array type, Genotype PCs	—
PPM008460	PGS001146 (GBE_INI23121)	PSS005134\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (R)	—	—	R²: 0.70823 [0.69735, 0.7191] Incremental R2 (full-covars): 0.02714 PGS R2 (no covariates): 0.018 [0.01216, 0.02383]	age, sex, UKB array type, Genotype PCs	—
PPM008461	PGS001146 (GBE_INI23121)	PSS005135\| European Ancestry\| 66,249 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (R)	—	—	R²: 0.75647 [0.75327, 0.75966] Incremental R2 (full-covars): 0.0401 PGS R2 (no covariates): 0.04083 [0.03791, 0.04376]	age, sex, UKB array type, Genotype PCs	—
PPM008462	PGS001147 (GBE_INI23112)	PSS005091\| African Ancestry\| 6,305 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat mass (R)	—	—	R²: 0.43888 [0.42081, 0.45695] Incremental R2 (full-covars): 0.00478 PGS R2 (no covariates): 0.00647 [0.00258, 0.01035]	age, sex, UKB array type, Genotype PCs	—
PPM008463	PGS001147 (GBE_INI23112)	PSS005092\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat mass (R)	—	—	R²: 0.46789 [0.43339, 0.50238] Incremental R2 (full-covars): -0.00071 PGS R2 (no covariates): 0.03169 [0.01535, 0.04803]	age, sex, UKB array type, Genotype PCs	—
PPM008464	PGS001147 (GBE_INI23112)	PSS005093\| European Ancestry\| 24,463 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat mass (R)	—	—	R²: 0.34025 [0.33069, 0.34981] Incremental R2 (full-covars): 0.05666 PGS R2 (no covariates): 0.05548 [0.04995, 0.061]	age, sex, UKB array type, Genotype PCs	—
PPM008465	PGS001147 (GBE_INI23112)	PSS005094\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat mass (R)	—	—	R²: 0.44907 [0.43273, 0.46542] Incremental R2 (full-covars): 0.02496 PGS R2 (no covariates): 0.03286 [0.0251, 0.04063]	age, sex, UKB array type, Genotype PCs	—
PPM008466	PGS001147 (GBE_INI23112)	PSS005095\| European Ancestry\| 66,259 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat mass (R)	—	—	R²: 0.37892 [0.37315, 0.38469] Incremental R2 (full-covars): 0.06155 PGS R2 (no covariates): 0.0616 [0.05808, 0.06511]	age, sex, UKB array type, Genotype PCs	—
PPM008467	PGS001148 (GBE_INI23128)	PSS005166\| African Ancestry\| 6,299 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat mass	—	—	R²: 0.07784 [0.06534, 0.09035] Incremental R2 (full-covars): 0.00763 PGS R2 (no covariates): 0.01681 [0.01061, 0.023]	age, sex, UKB array type, Genotype PCs	—
PPM008468	PGS001148 (GBE_INI23128)	PSS005167\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat mass	—	—	R²: 0.08471 [0.05946, 0.10995] Incremental R2 (full-covars): 0.02256 PGS R2 (no covariates): 0.04289 [0.0241, 0.06167]	age, sex, UKB array type, Genotype PCs	—
PPM008469	PGS001148 (GBE_INI23128)	PSS005168\| European Ancestry\| 24,450 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat mass	—	—	R²: 0.12525 [0.11756, 0.13293] Incremental R2 (full-covars): 0.09644 PGS R2 (no covariates): 0.10468 [0.09748, 0.11187]	age, sex, UKB array type, Genotype PCs	—
PPM008470	PGS001148 (GBE_INI23128)	PSS005169\| South Asian Ancestry\| 7,646 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat mass	—	—	R²: 0.08664 [0.07474, 0.09855] Incremental R2 (full-covars): 0.06072 PGS R2 (no covariates): 0.06279 [0.05239, 0.07318]	age, sex, UKB array type, Genotype PCs	—
PPM008471	PGS001148 (GBE_INI23128)	PSS005170\| European Ancestry\| 66,220 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat mass	—	—	R²: 0.11749 [0.11293, 0.12206] Incremental R2 (full-covars): 0.1078 PGS R2 (no covariates): 0.10871 [0.10428, 0.11315]	age, sex, UKB array type, Genotype PCs	—
PPM008475	PGS001149 (GBE_INI23100)	PSS005044\| South Asian Ancestry\| 7,639 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat mass	—	—	R²: 0.17436 [0.1591, 0.18963] Incremental R2 (full-covars): 0.05377 PGS R2 (no covariates): 0.06028 [0.05006, 0.07049]	age, sex, UKB array type, Genotype PCs	—
PPM008472	PGS001149 (GBE_INI23100)	PSS005041\| African Ancestry\| 6,294 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat mass	—	—	R²: 0.22098 [0.20318, 0.23878] Incremental R2 (full-covars): 0.00715 PGS R2 (no covariates): 0.01342 [0.00786, 0.01897]	age, sex, UKB array type, Genotype PCs	—
PPM008473	PGS001149 (GBE_INI23100)	PSS005042\| East Asian Ancestry\| 1,667 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat mass	—	—	R²: 0.10565 [0.0781, 0.1332] Incremental R2 (full-covars): 0.01419 PGS R2 (no covariates): 0.04325 [0.0244, 0.06211]	age, sex, UKB array type, Genotype PCs	—
PPM008474	PGS001149 (GBE_INI23100)	PSS005043\| European Ancestry\| 24,422 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat mass	—	—	R²: 0.1432 [0.13515, 0.15125] Incremental R2 (full-covars): 0.08949 PGS R2 (no covariates): 0.09358 [0.08669, 0.10047]	age, sex, UKB array type, Genotype PCs	—
PPM008476	PGS001149 (GBE_INI23100)	PSS005045\| European Ancestry\| 66,165 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat mass	—	—	R²: 0.16366 [0.15856, 0.16877] Incremental R2 (full-covars): 0.09847 PGS R2 (no covariates): 0.09893 [0.09465, 0.10321]	age, sex, UKB array type, Genotype PCs	—
PPM008492	PGS001154 (GBE_INI23110)	PSS005081\| African Ancestry\| 6,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (L)	—	—	R²: 0.40184 [0.38341, 0.42027] Incremental R2 (full-covars): 0.00929 PGS R2 (no covariates): 0.01779 [0.01142, 0.02415]	age, sex, UKB array type, Genotype PCs	—
PPM008493	PGS001154 (GBE_INI23110)	PSS005082\| East Asian Ancestry\| 1,681 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (L)	—	—	R²: 0.57437 [0.5438, 0.60494] Incremental R2 (full-covars): 0.01873 PGS R2 (no covariates): 0.01902 [0.0062, 0.03184]	age, sex, UKB array type, Genotype PCs	—
PPM008494	PGS001154 (GBE_INI23110)	PSS005083\| European Ancestry\| 24,474 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (L)	—	—	R²: 0.57497 [0.56697, 0.58297] Incremental R2 (full-covars): 0.0528 PGS R2 (no covariates): 0.05187 [0.0465, 0.05723]	age, sex, UKB array type, Genotype PCs	—
PPM008495	PGS001154 (GBE_INI23110)	PSS005084\| South Asian Ancestry\| 7,653 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (L)	—	—	R²: 0.53183 [0.51672, 0.54695] Incremental R2 (full-covars): 0.03819 PGS R2 (no covariates): 0.03481 [0.02684, 0.04279]	age, sex, UKB array type, Genotype PCs	—
PPM008496	PGS001154 (GBE_INI23110)	PSS005085\| European Ancestry\| 66,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (L)	—	—	R²: 0.58392 [0.57912, 0.58872] Incremental R2 (full-covars): 0.05546 PGS R2 (no covariates): 0.05563 [0.05227, 0.05899]	age, sex, UKB array type, Genotype PCs	—
PPM008497	PGS001155 (GBE_INI23108)	PSS005071\| African Ancestry\| 6,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (L)	—	—	R²: 0.09719 [0.08351, 0.11087] Incremental R2 (full-covars): 0.01992 PGS R2 (no covariates): 0.0278 [0.01992, 0.03567]	age, sex, UKB array type, Genotype PCs	—
PPM008498	PGS001155 (GBE_INI23108)	PSS005072\| East Asian Ancestry\| 1,681 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (L)	—	—	R²: 0.31023 [0.27382, 0.34664] Incremental R2 (full-covars): 0.0341 PGS R2 (no covariates): 0.0409 [0.02252, 0.05928]	age, sex, UKB array type, Genotype PCs	—
PPM008499	PGS001155 (GBE_INI23108)	PSS005073\| European Ancestry\| 24,474 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (L)	—	—	R²: 0.28199 [0.27252, 0.29146] Incremental R2 (full-covars): 0.09762 PGS R2 (no covariates): 0.09753 [0.09054, 0.10453]	age, sex, UKB array type, Genotype PCs	—
PPM008500	PGS001155 (GBE_INI23108)	PSS005074\| South Asian Ancestry\| 7,653 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (L)	—	—	R²: 0.20912 [0.1931, 0.22513] Incremental R2 (full-covars): 0.07366 PGS R2 (no covariates): 0.07706 [0.06572, 0.0884]	age, sex, UKB array type, Genotype PCs	—
PPM008501	PGS001155 (GBE_INI23108)	PSS005075\| European Ancestry\| 66,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (L)	—	—	R²: 0.284 [0.27824, 0.28976] Incremental R2 (full-covars): 0.10535 PGS R2 (no covariates): 0.10691 [0.1025, 0.11132]	age, sex, UKB array type, Genotype PCs	—
PPM008502	PGS001156 (GBE_INI23109)	PSS005076\| African Ancestry\| 6,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (R)	—	—	R²: 0.39048 [0.37197, 0.40899] Incremental R2 (full-covars): 0.00926 PGS R2 (no covariates): 0.01716 [0.0109, 0.02342]	age, sex, UKB array type, Genotype PCs	—
PPM008503	PGS001156 (GBE_INI23109)	PSS005077\| East Asian Ancestry\| 1,681 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (R)	—	—	R²: 0.54175 [0.50979, 0.57371] Incremental R2 (full-covars): 0.0153 PGS R2 (no covariates): 0.02132 [0.00778, 0.03486]	age, sex, UKB array type, Genotype PCs	—
PPM008504	PGS001156 (GBE_INI23109)	PSS005078\| European Ancestry\| 24,473 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (R)	—	—	R²: 0.57975 [0.5718, 0.58769] Incremental R2 (full-covars): 0.05372 PGS R2 (no covariates): 0.0533 [0.04787, 0.05873]	age, sex, UKB array type, Genotype PCs	—
PPM008505	PGS001156 (GBE_INI23109)	PSS005079\| South Asian Ancestry\| 7,653 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (R)	—	—	R²: 0.53386 [0.51878, 0.54894] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.03083 [0.02329, 0.03836]	age, sex, UKB array type, Genotype PCs	—
PPM008506	PGS001156 (GBE_INI23109)	PSS005080\| European Ancestry\| 66,307 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of arm (R)	—	—	R²: 0.57547 [0.57061, 0.58033] Incremental R2 (full-covars): 0.05379 PGS R2 (no covariates): 0.05414 [0.05082, 0.05746]	age, sex, UKB array type, Genotype PCs	—
PPM008507	PGS001157 (GBE_INI23107)	PSS005066\| African Ancestry\| 6,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (R)	—	—	R²: 0.10262 [0.08864, 0.11659] Incremental R2 (full-covars): 0.02186 PGS R2 (no covariates): 0.02948 [0.02138, 0.03758]	age, sex, UKB array type, Genotype PCs	—
PPM008508	PGS001157 (GBE_INI23107)	PSS005067\| East Asian Ancestry\| 1,681 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (R)	—	—	R²: 0.29891 [0.26259, 0.33523] Incremental R2 (full-covars): 0.03502 PGS R2 (no covariates): 0.04108 [0.02267, 0.0595]	age, sex, UKB array type, Genotype PCs	—
PPM008509	PGS001157 (GBE_INI23107)	PSS005068\| European Ancestry\| 24,475 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (R)	—	—	R²: 0.28612 [0.27664, 0.2956] Incremental R2 (full-covars): 0.09428 PGS R2 (no covariates): 0.09552 [0.08858, 0.10246]	age, sex, UKB array type, Genotype PCs	—
PPM008510	PGS001157 (GBE_INI23107)	PSS005069\| South Asian Ancestry\| 7,653 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (R)	—	—	R²: 0.21686 [0.20071, 0.23301] Incremental R2 (full-covars): 0.07215 PGS R2 (no covariates): 0.07533 [0.06409, 0.08656]	age, sex, UKB array type, Genotype PCs	—
PPM008511	PGS001157 (GBE_INI23107)	PSS005070\| European Ancestry\| 66,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of leg (R)	—	—	R²: 0.29573 [0.28995, 0.30151] Incremental R2 (full-covars): 0.10489 PGS R2 (no covariates): 0.10727 [0.10286, 0.11169]	age, sex, UKB array type, Genotype PCs	—
PPM008512	PGS001158 (GBE_INI23118)	PSS005116\| African Ancestry\| 6,303 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (L)	—	—	R²: 0.54551 [0.52919, 0.56183] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.01474 [0.00892, 0.02055]	age, sex, UKB array type, Genotype PCs	—
PPM008513	PGS001158 (GBE_INI23118)	PSS005117\| East Asian Ancestry\| 1,679 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (L)	—	—	Incremental R2 (full-covars): 0.00295 R²: 0.73419 [0.71261, 0.75577] PGS R2 (no covariates): 0.01537 [0.0038, 0.02694]	age, sex, UKB array type, Genotype PCs	—
PPM008514	PGS001158 (GBE_INI23118)	PSS005118\| European Ancestry\| 24,460 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (L)	—	—	R²: 0.70945 [0.70337, 0.71553] Incremental R2 (full-covars): 0.04284 PGS R2 (no covariates): 0.04473 [0.03971, 0.04975]	age, sex, UKB array type, Genotype PCs	—
PPM008515	PGS001158 (GBE_INI23118)	PSS005119\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (L)	—	—	R²: 0.66073 [0.64852, 0.67294] Incremental R2 (full-covars): 0.03274 PGS R2 (no covariates): 0.02543 [0.01855, 0.03231]	age, sex, UKB array type, Genotype PCs	—
PPM008516	PGS001158 (GBE_INI23118)	PSS005120\| European Ancestry\| 66,253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (L)	—	—	R²: 0.7033 [0.69954, 0.70705] Incremental R2 (full-covars): 0.0494 PGS R2 (no covariates): 0.04898 [0.0458, 0.05216]	age, sex, UKB array type, Genotype PCs	—
PPM008517	PGS001159 (GBE_INI23114)	PSS005101\| African Ancestry\| 6,305 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (R)	—	—	R²: 0.55037 [0.53416, 0.56658] Incremental R2 (full-covars): 0.00902 PGS R2 (no covariates): 0.01506 [0.00918, 0.02093]	age, sex, UKB array type, Genotype PCs	—
PPM008518	PGS001159 (GBE_INI23114)	PSS005102\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (R)	—	—	R²: 0.73877 [0.71749, 0.76005] Incremental R2 (full-covars): 0.00137 PGS R2 (no covariates): 0.01373 [0.00278, 0.02468]	age, sex, UKB array type, Genotype PCs	—
PPM008519	PGS001159 (GBE_INI23114)	PSS005103\| European Ancestry\| 24,461 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (R)	—	—	R²: 0.71438 [0.70839, 0.72038] Incremental R2 (full-covars): 0.04346 PGS R2 (no covariates): 0.04404 [0.03906, 0.04902]	age, sex, UKB array type, Genotype PCs	—
PPM008520	PGS001159 (GBE_INI23114)	PSS005104\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (R)	—	—	Incremental R2 (full-covars): 0.03277 R²: 0.66736 [0.65533, 0.67939] PGS R2 (no covariates): 0.02632 [0.01932, 0.03331]	age, sex, UKB array type, Genotype PCs	—
PPM008521	PGS001159 (GBE_INI23114)	PSS005105\| European Ancestry\| 66,257 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg pred. mass (R)	—	—	R²: 0.70913 [0.70543, 0.71283] Incremental R2 (full-covars): 0.04958 PGS R2 (no covariates): 0.04812 [0.04497, 0.05127]	age, sex, UKB array type, Genotype PCs	—
PPM008522	PGS001160 (GBE_INI23130)	PSS005176\| African Ancestry\| 6,298 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk pred. mass	—	—	R²: 0.60813 [0.59327, 0.62298] Incremental R2 (full-covars): 0.01103 PGS R2 (no covariates): 0.01817 [0.01174, 0.0246]	age, sex, UKB array type, Genotype PCs	—
PPM008523	PGS001160 (GBE_INI23130)	PSS005177\| East Asian Ancestry\| 1,677 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk pred. mass	—	—	R²: 0.74648 [0.72572, 0.76724] Incremental R2 (full-covars): 0.01277 PGS R2 (no covariates): 0.02185 [0.00815, 0.03555]	age, sex, UKB array type, Genotype PCs	—
PPM008524	PGS001160 (GBE_INI23130)	PSS005178\| European Ancestry\| 24,444 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk pred. mass	—	—	R²: 0.76821 [0.76317, 0.77326] Incremental R2 (full-covars): 0.04598 PGS R2 (no covariates): 0.04582 [0.04074, 0.05089]	age, sex, UKB array type, Genotype PCs	—
PPM008525	PGS001160 (GBE_INI23130)	PSS005179\| South Asian Ancestry\| 7,642 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk pred. mass	—	—	R²: 0.69886 [0.68771, 0.71] Incremental R2 (full-covars): 0.03651 PGS R2 (no covariates): 0.03063 [0.02312, 0.03815]	age, sex, UKB array type, Genotype PCs	—
PPM008526	PGS001160 (GBE_INI23130)	PSS005180\| European Ancestry\| 66,204 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk pred. mass	—	—	R²: 0.7731 [0.77009, 0.77611] Incremental R2 (full-covars): 0.05059 PGS R2 (no covariates): 0.05155 [0.0483, 0.0548]	age, sex, UKB array type, Genotype PCs	—
PPM008527	PGS001161 (GBE_INI23106)	PSS005061\| African Ancestry\| 6,310 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of whole body	—	—	R²: 0.29554 [0.27692, 0.31415] Incremental R2 (full-covars): 0.01724 PGS R2 (no covariates): 0.02715 [0.01936, 0.03494]	age, sex, UKB array type, Genotype PCs	—
PPM008528	PGS001161 (GBE_INI23106)	PSS005062\| East Asian Ancestry\| 1,681 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of whole body	—	—	R²: 0.51675 [0.48383, 0.54967] Incremental R2 (full-covars): 0.02489 PGS R2 (no covariates): 0.02929 [0.01355, 0.04503]	age, sex, UKB array type, Genotype PCs	—
PPM008529	PGS001161 (GBE_INI23106)	PSS005063\| European Ancestry\| 24,471 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of whole body	—	—	R²: 0.50936 [0.50067, 0.51806] Incremental R2 (full-covars): 0.07566 PGS R2 (no covariates): 0.07383 [0.06758, 0.08008]	age, sex, UKB array type, Genotype PCs	—
PPM008530	PGS001161 (GBE_INI23106)	PSS005064\| South Asian Ancestry\| 7,651 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of whole body	—	—	R²: 0.44125 [0.42482, 0.45769] Incremental R2 (full-covars): 0.05615 PGS R2 (no covariates): 0.05272 [0.04309, 0.06235]	age, sex, UKB array type, Genotype PCs	—
PPM008531	PGS001161 (GBE_INI23106)	PSS005065\| European Ancestry\| 66,304 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Impedance of whole body	—	—	R²: 0.51927 [0.51404, 0.5245] Incremental R2 (full-covars): 0.08047 PGS R2 (no covariates): 0.08089 [0.07694, 0.08483]	age, sex, UKB array type, Genotype PCs	—
PPM008532	PGS001162 (GBE_INI49)	PSS007361\| African Ancestry\| 6,416 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hip circumference	—	—	R²: 0.07927 [0.06667, 0.09187] Incremental R2 (full-covars): 0.01779 PGS R2 (no covariates): 0.02214 [0.01507, 0.02921]	age, sex, UKB array type, Genotype PCs	—
PPM008533	PGS001162 (GBE_INI49)	PSS007362\| East Asian Ancestry\| 1,698 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hip circumference	—	—	R²: 0.12482 [0.09552, 0.15412] Incremental R2 (full-covars): 0.03098 PGS R2 (no covariates): 0.04899 [0.02904, 0.06893]	age, sex, UKB array type, Genotype PCs	—
PPM008534	PGS001162 (GBE_INI49)	PSS007363\| European Ancestry\| 24,833 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hip circumference	—	—	R²: 0.09925 [0.09221, 0.1063] Incremental R2 (full-covars): 0.09042 PGS R2 (no covariates): 0.09318 [0.0863, 0.10005]	age, sex, UKB array type, Genotype PCs	—
PPM008535	PGS001162 (GBE_INI49)	PSS007364\| South Asian Ancestry\| 7,755 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hip circumference	—	—	R²: 0.09505 [0.08269, 0.1074] Incremental R2 (full-covars): 0.05495 PGS R2 (no covariates): 0.05341 [0.04373, 0.0631]	age, sex, UKB array type, Genotype PCs	—
PPM008536	PGS001162 (GBE_INI49)	PSS007365\| European Ancestry\| 67,319 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Hip circumference	—	—	R²: 0.09693 [0.09269, 0.10118] Incremental R2 (full-covars): 0.09505 PGS R2 (no covariates): 0.09536 [0.09115, 0.09958]	age, sex, UKB array type, Genotype PCs	—
PPM008548	PGS001165 (GBE_INI23125)	PSS005154\| South Asian Ancestry\| 7,647 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (L)	—	—	R²: 0.66424 [0.65212, 0.67635] Incremental R2 (full-covars): 0.03058 PGS R2 (no covariates): 0.02351 [0.01688, 0.03014]	age, sex, UKB array type, Genotype PCs	—
PPM008545	PGS001165 (GBE_INI23125)	PSS005151\| African Ancestry\| 6,299 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (L)	—	—	R²: 0.5894 [0.57408, 0.60472] Incremental R2 (full-covars): 0.00951 PGS R2 (no covariates): 0.01764 [0.0113, 0.02399]	age, sex, UKB array type, Genotype PCs	—
PPM008546	PGS001165 (GBE_INI23125)	PSS005152\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (L)	—	—	R²: 0.74448 [0.72359, 0.76538] Incremental R2 (full-covars): 0.0034 PGS R2 (no covariates): 0.01331 [0.00252, 0.0241]	age, sex, UKB array type, Genotype PCs	—
PPM008547	PGS001165 (GBE_INI23125)	PSS005153\| European Ancestry\| 24,457 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (L)	—	—	R²: 0.73779 [0.7322, 0.74339] Incremental R2 (full-covars): 0.03937 PGS R2 (no covariates): 0.0417 [0.03684, 0.04656]	age, sex, UKB array type, Genotype PCs	—
PPM008549	PGS001165 (GBE_INI23125)	PSS005155\| European Ancestry\| 66,234 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm fat-free mass (L)	—	—	R²: 0.73264 [0.72918, 0.73609] Incremental R2 (full-covars): 0.04461 PGS R2 (no covariates): 0.04544 [0.04237, 0.04851]	age, sex, UKB array type, Genotype PCs	—
PPM008550	PGS001166 (GBE_INI23117)	PSS005111\| African Ancestry\| 6,303 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (L)	—	—	R²: 0.53187 [0.51528, 0.54846] Incremental R2 (full-covars): 0.00841 PGS R2 (no covariates): 0.0152 [0.0093, 0.0211]	age, sex, UKB array type, Genotype PCs	—
PPM008551	PGS001166 (GBE_INI23117)	PSS005112\| East Asian Ancestry\| 1,679 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (L)	—	—	R²: 0.72443 [0.7022, 0.74666] Incremental R2 (full-covars): 0.00342 PGS R2 (no covariates): 0.01608 [0.00425, 0.0279]	age, sex, UKB array type, Genotype PCs	—
PPM008552	PGS001166 (GBE_INI23117)	PSS005113\| European Ancestry\| 24,461 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (L)	—	—	R²: 0.7007 [0.69448, 0.70692] Incremental R2 (full-covars): 0.0443 PGS R2 (no covariates): 0.0464 [0.0413, 0.0515]	age, sex, UKB array type, Genotype PCs	—
PPM008553	PGS001166 (GBE_INI23117)	PSS005114\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (L)	—	—	R²: 0.65024 [0.63775, 0.66272] Incremental R2 (full-covars): 0.03375 PGS R2 (no covariates): 0.0265 [0.01948, 0.03352]	age, sex, UKB array type, Genotype PCs	—
PPM008554	PGS001166 (GBE_INI23117)	PSS005115\| European Ancestry\| 66,253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (L)	—	—	R²: 0.69394 [0.69009, 0.69779] Incremental R2 (full-covars): 0.05093 PGS R2 (no covariates): 0.05064 [0.04742, 0.05387]	age, sex, UKB array type, Genotype PCs	—
PPM008555	PGS001167 (GBE_INI23113)	PSS005096\| African Ancestry\| 6,305 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (R)	—	—	R²: 0.53747 [0.52099, 0.55395] Incremental R2 (full-covars): 0.00943 PGS R2 (no covariates): 0.01562 [0.00964, 0.0216]	age, sex, UKB array type, Genotype PCs	—
PPM008556	PGS001167 (GBE_INI23113)	PSS005097\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (R)	—	—	R²: 0.72975 [0.70788, 0.75163] Incremental R2 (full-covars): 0.00171 PGS R2 (no covariates): 0.01431 [0.00314, 0.02549]	age, sex, UKB array type, Genotype PCs	—
PPM008557	PGS001167 (GBE_INI23113)	PSS005098\| European Ancestry\| 24,461 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (R)	—	—	R²: 0.70588 [0.69974, 0.71201] Incremental R2 (full-covars): 0.04477 PGS R2 (no covariates): 0.0455 [0.04045, 0.05056]	age, sex, UKB array type, Genotype PCs	—
PPM008558	PGS001167 (GBE_INI23113)	PSS005099\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (R)	—	—	R²: 0.65682 [0.64451, 0.66914] Incremental R2 (full-covars): 0.03381 PGS R2 (no covariates): 0.02711 [0.02002, 0.0342]	age, sex, UKB array type, Genotype PCs	—
PPM008559	PGS001167 (GBE_INI23113)	PSS005100\| European Ancestry\| 66,257 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Leg fat-free mass (R)	—	—	R²: 0.69994 [0.69615, 0.70373] Incremental R2 (full-covars): 0.05103 PGS R2 (no covariates): 0.04961 [0.04641, 0.0528]	age, sex, UKB array type, Genotype PCs	—
PPM008560	PGS001168 (GBE_INI23129)	PSS005171\| African Ancestry\| 6,298 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.59642 [0.58127, 0.61157] Incremental R2 (full-covars): 0.01057 PGS R2 (no covariates): 0.0178 [0.01143, 0.02418]	age, sex, UKB array type, Genotype PCs	—
PPM008561	PGS001168 (GBE_INI23129)	PSS005172\| East Asian Ancestry\| 1,677 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.73696 [0.71556, 0.75835] Incremental R2 (full-covars): 0.01146 PGS R2 (no covariates): 0.0221 [0.00833, 0.03588]	age, sex, UKB array type, Genotype PCs	—
PPM008562	PGS001168 (GBE_INI23129)	PSS005173\| European Ancestry\| 24,445 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.76298 [0.75784, 0.76812] Incremental R2 (full-covars): 0.04792 PGS R2 (no covariates): 0.04719 [0.04205, 0.05233]	age, sex, UKB array type, Genotype PCs	—
PPM008563	PGS001168 (GBE_INI23129)	PSS005174\| South Asian Ancestry\| 7,645 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.69077 [0.67939, 0.70215] Incremental R2 (full-covars): 0.03748 PGS R2 (no covariates): 0.03123 [0.02365, 0.03881]	age, sex, UKB array type, Genotype PCs	—
PPM008564	PGS001168 (GBE_INI23129)	PSS005175\| European Ancestry\| 66,210 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.76832 [0.76525, 0.77138] Incremental R2 (full-covars): 0.05259 PGS R2 (no covariates): 0.05253 [0.04925, 0.05581]	age, sex, UKB array type, Genotype PCs	—
PPM008565	PGS001169 (GBE_INI23101)	PSS005046\| African Ancestry\| 6,304 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.60157 [0.58655, 0.61659] Incremental R2 (full-covars): 0.01013 PGS R2 (no covariates): 0.01873 [0.0122, 0.02526]	age, sex, UKB array type, Genotype PCs	—
PPM008566	PGS001169 (GBE_INI23101)	PSS005047\| East Asian Ancestry\| 1,680 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.75252 [0.73217, 0.77286] Incremental R2 (full-covars): 0.00794 PGS R2 (no covariates): 0.01884 [0.00608, 0.03161]	age, sex, UKB array type, Genotype PCs	—
PPM008567	PGS001169 (GBE_INI23101)	PSS005048\| European Ancestry\| 24,463 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.75918 [0.75397, 0.76439] Incremental R2 (full-covars): 0.04637 PGS R2 (no covariates): 0.04707 [0.04193, 0.0522]	age, sex, UKB array type, Genotype PCs	—
PPM008568	PGS001169 (GBE_INI23101)	PSS005049\| South Asian Ancestry\| 7,649 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.69559 [0.68435, 0.70683] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.02818 [0.02096, 0.03541]	age, sex, UKB array type, Genotype PCs	—
PPM008569	PGS001169 (GBE_INI23101)	PSS005050\| European Ancestry\| 66,262 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.76094 [0.75779, 0.76409] Incremental R2 (full-covars): 0.05193 PGS R2 (no covariates): 0.05222 [0.04895, 0.05548]	age, sex, UKB array type, Genotype PCs	—
PPM008644	PGS001226 (GBE_INI20022)	PSS004896\| African Ancestry\| 1,708 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Birth weight	—	—	R²: 0.04004 [0.0307, 0.04937] Incremental R2 (full-covars): 0.00368 PGS R2 (no covariates): 0.00672 [0.00276, 0.01067]	age, sex, UKB array type, Genotype PCs	—
PPM008645	PGS001226 (GBE_INI20022)	PSS004897\| East Asian Ancestry\| 609 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Birth weight	—	—	R²: 0.04464 [0.02551, 0.06377] Incremental R2 (full-covars): 0.01768 PGS R2 (no covariates): 0.02148 [0.00789, 0.03508]	age, sex, UKB array type, Genotype PCs	—
PPM008646	PGS001226 (GBE_INI20022)	PSS004898\| European Ancestry\| 12,908 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Birth weight	—	—	R²: 0.06034 [0.05461, 0.06608] Incremental R2 (full-covars): 0.02543 PGS R2 (no covariates): 0.02732 [0.02333, 0.03131]	age, sex, UKB array type, Genotype PCs	—
PPM008647	PGS001226 (GBE_INI20022)	PSS004899\| South Asian Ancestry\| 1,908 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Birth weight	—	—	R²: 0.04888 [0.03957, 0.05819] Incremental R2 (full-covars): 0.00482 PGS R2 (no covariates): 0.00796 [0.00404, 0.01188]	age, sex, UKB array type, Genotype PCs	—
PPM008648	PGS001226 (GBE_INI20022)	PSS004900\| European Ancestry\| 39,107 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Birth weight	—	—	R²: 0.05162 [0.04837, 0.05488] Incremental R2 (full-covars): 0.02688 PGS R2 (no covariates): 0.02741 [0.02498, 0.02984]	age, sex, UKB array type, Genotype PCs	—
PPM008649	PGS001227 (GBE_INI48)	PSS007356\| African Ancestry\| 6,418 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Waist circumference	—	—	R²: 0.04902 [0.03878, 0.05925] Incremental R2 (full-covars): 0.01275 PGS R2 (no covariates): 0.01765 [0.01131, 0.024]	age, sex, UKB array type, Genotype PCs	—
PPM008650	PGS001227 (GBE_INI48)	PSS007357\| East Asian Ancestry\| 1,698 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Waist circumference	—	—	R²: 0.31538 [0.27895, 0.35182] Incremental R2 (full-covars): 0.00143 PGS R2 (no covariates): 0.02593 [0.01107, 0.0408]	age, sex, UKB array type, Genotype PCs	—
PPM008651	PGS001227 (GBE_INI48)	PSS007358\| European Ancestry\| 24,833 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Waist circumference	—	—	R²: 0.30589 [0.29635, 0.31542] Incremental R2 (full-covars): 0.05708 PGS R2 (no covariates): 0.0673 [0.06129, 0.07331]	age, sex, UKB array type, Genotype PCs	—
PPM008652	PGS001227 (GBE_INI48)	PSS007359\| South Asian Ancestry\| 7,756 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Waist circumference	—	—	R²: 0.19567 [0.17992, 0.21142] Incremental R2 (full-covars): 0.03363 PGS R2 (no covariates): 0.03558 [0.02753, 0.04364]	age, sex, UKB array type, Genotype PCs	—
PPM008653	PGS001227 (GBE_INI48)	PSS007360\| European Ancestry\| 67,330 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Waist circumference	—	—	R²: 0.29142 [0.28565, 0.2972] Incremental R2 (full-covars): 0.06556 PGS R2 (no covariates): 0.0665 [0.06287, 0.07013]	age, sex, UKB array type, Genotype PCs	—
PPM008654	PGS001228 (GBE_INI21001)	PSS004911\| African Ancestry\| 6,398 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: BMI	—	—	R²: 0.06264 [0.05124, 0.07404] Incremental R2 (full-covars): 0.01685 PGS R2 (no covariates): 0.02029 [0.0135, 0.02707]	age, sex, UKB array type, Genotype PCs	—
PPM008655	PGS001228 (GBE_INI21001)	PSS004912\| East Asian Ancestry\| 1,696 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: BMI	—	—	R²: 0.16636 [0.13414, 0.19858] Incremental R2 (full-covars): 0.03119 PGS R2 (no covariates): 0.06222 [0.04005, 0.08439]	age, sex, UKB array type, Genotype PCs	—
PPM008656	PGS001228 (GBE_INI21001)	PSS004913\| European Ancestry\| 24,795 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: BMI	—	—	R²: 0.13175 [0.12392, 0.13958] Incremental R2 (full-covars): 0.09741 PGS R2 (no covariates): 0.10338 [0.09622, 0.11054]	age, sex, UKB array type, Genotype PCs	—
PPM008657	PGS001228 (GBE_INI21001)	PSS004914\| South Asian Ancestry\| 7,639 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: BMI	—	—	R²: 0.0872 [0.07527, 0.09914] Incremental R2 (full-covars): 0.06488 PGS R2 (no covariates): 0.0648 [0.05426, 0.07534]	age, sex, UKB array type, Genotype PCs	—
PPM008658	PGS001228 (GBE_INI21001)	PSS004915\| European Ancestry\| 67,235 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: BMI	—	—	R²: 0.12084 [0.11623, 0.12545] Incremental R2 (full-covars): 0.10799 PGS R2 (no covariates): 0.11052 [0.10606, 0.11499]	age, sex, UKB array type, Genotype PCs	—
PPM008659	PGS001229 (GBE_INI50)	PSS007396\| African Ancestry\| 6,407 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.50012 [0.48294, 0.5173] Incremental R2 (full-covars): 0.02391 PGS R2 (no covariates): 0.03665 [0.02769, 0.04561]	age, sex, UKB array type, Genotype PCs	—
PPM008660	PGS001229 (GBE_INI50)	PSS007397\| East Asian Ancestry\| 1,697 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.60758 [0.5786, 0.63657] Incremental R2 (full-covars): 0.06552 PGS R2 (no covariates): 0.09127 [0.06525, 0.11728]	age, sex, UKB array type, Genotype PCs	—
PPM008661	PGS001229 (GBE_INI50)	PSS007398\| European Ancestry\| 24,826 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.7018 [0.69559, 0.708] Incremental R2 (full-covars): 0.16478 PGS R2 (no covariates): 0.1861 [0.17738, 0.19482]	age, sex, UKB array type, Genotype PCs	—
PPM008662	PGS001229 (GBE_INI50)	PSS007399\| South Asian Ancestry\| 7,650 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.66523 [0.65314, 0.67732] Incremental R2 (full-covars): 0.08156 PGS R2 (no covariates): 0.08889 [0.07686, 0.10092]	age, sex, UKB array type, Genotype PCs	—
PPM008663	PGS001229 (GBE_INI50)	PSS007400\| European Ancestry\| 67,298 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.71726 [0.71364, 0.72087] Incremental R2 (full-covars): 0.17893 PGS R2 (no covariates): 0.17757 [0.17234, 0.1828]	age, sex, UKB array type, Genotype PCs	—
PPM008664	PGS001230 (GBE_INI21002)	PSS004916\| African Ancestry\| 6,410 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight	—	—	R²: 0.0617 [0.05037, 0.07303] Incremental R2 (full-covars): 0.0214 PGS R2 (no covariates): 0.02742 [0.01959, 0.03524]	age, sex, UKB array type, Genotype PCs	—
PPM008665	PGS001230 (GBE_INI21002)	PSS004917\| East Asian Ancestry\| 1,696 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight	—	—	R²: 0.36447 [0.32811, 0.40083] Incremental R2 (full-covars): 0.00956 PGS R2 (no covariates): 0.0426 [0.02388, 0.06133]	age, sex, UKB array type, Genotype PCs	—
PPM008666	PGS001230 (GBE_INI21002)	PSS004918\| European Ancestry\| 24,804 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight	—	—	R²: 0.33164 [0.32208, 0.3412] Incremental R2 (full-covars): 0.09015 PGS R2 (no covariates): 0.09999 [0.09292, 0.10705]	age, sex, UKB array type, Genotype PCs	—
PPM008667	PGS001230 (GBE_INI21002)	PSS004919\| South Asian Ancestry\| 7,746 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight	—	—	R²: 0.2472 [0.23063, 0.26377] Incremental R2 (full-covars): 0.06508 PGS R2 (no covariates): 0.0633 [0.05287, 0.07374]	age, sex, UKB array type, Genotype PCs	—
PPM008668	PGS001230 (GBE_INI21002)	PSS004920\| European Ancestry\| 67,258 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Weight	—	—	R²: 0.32007 [0.31426, 0.32588] Incremental R2 (full-covars): 0.1043 PGS R2 (no covariates): 0.10578 [0.10139, 0.11017]	age, sex, UKB array type, Genotype PCs	—
PPM008679	PGS001234 (GBE_INI23126)	PSS005156\| African Ancestry\| 6,299 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (L)	—	—	R²: 0.60051 [0.58546, 0.61555] Incremental R2 (full-covars): 0.00953 PGS R2 (no covariates): 0.01688 [0.01067, 0.02309]	age, sex, UKB array type, Genotype PCs	—
PPM008680	PGS001234 (GBE_INI23126)	PSS005157\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (L)	—	—	R²: 0.75129 [0.73087, 0.77172] Incremental R2 (full-covars): 0.00307 PGS R2 (no covariates): 0.01325 [0.00249, 0.02401]	age, sex, UKB array type, Genotype PCs	—
PPM008681	PGS001234 (GBE_INI23126)	PSS005158\| European Ancestry\| 24,454 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (L)	—	—	R²: 0.74421 [0.73873, 0.74969] Incremental R2 (full-covars): 0.03857 PGS R2 (no covariates): 0.04031 [0.03552, 0.04509]	age, sex, UKB array type, Genotype PCs	—
PPM008682	PGS001234 (GBE_INI23126)	PSS005159\| South Asian Ancestry\| 7,647 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (L)	—	—	R²: 0.67369 [0.66183, 0.68555] Incremental R2 (full-covars): 0.03112 PGS R2 (no covariates): 0.02284 [0.0163, 0.02938]	age, sex, UKB array type, Genotype PCs	—
PPM008683	PGS001234 (GBE_INI23126)	PSS005160\| European Ancestry\| 66,231 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (L)	—	—	R²: 0.72542 [0.72189, 0.72895] Incremental R2 (full-covars): 0.04328 PGS R2 (no covariates): 0.04384 [0.04082, 0.04687]	age, sex, UKB array type, Genotype PCs	—
PPM008684	PGS001235 (GBE_INI23122)	PSS005136\| African Ancestry\| 6,302 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (R)	—	—	R²: 0.65534 [0.64178, 0.6689] Incremental R2 (full-covars): 0.00854 PGS R2 (no covariates): 0.01485 [0.00901, 0.02068]	age, sex, UKB array type, Genotype PCs	—
PPM008685	PGS001235 (GBE_INI23122)	PSS005137\| East Asian Ancestry\| 1,678 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (R)	—	—	R²: 0.7677 [0.74842, 0.78699] Incremental R2 (full-covars): 0.002 PGS R2 (no covariates): 0.0134 [0.00258, 0.02423]	age, sex, UKB array type, Genotype PCs	—
PPM008686	PGS001235 (GBE_INI23122)	PSS005138\| European Ancestry\| 24,458 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (R)	—	—	R²: 0.76826 [0.76321, 0.7733] Incremental R2 (full-covars): 0.03558 PGS R2 (no covariates): 0.03693 [0.03233, 0.04152]	age, sex, UKB array type, Genotype PCs	—
PPM008687	PGS001235 (GBE_INI23122)	PSS005139\| South Asian Ancestry\| 7,648 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (R)	—	—	R²: 0.7148 [0.70413, 0.72548] Incremental R2 (full-covars): 0.02639 PGS R2 (no covariates): 0.01722 [0.01151, 0.02293]	age, sex, UKB array type, Genotype PCs	—
PPM008688	PGS001235 (GBE_INI23122)	PSS005140\| European Ancestry\| 66,247 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Arm pred. mass (R)	—	—	R²: 0.76233 [0.7592, 0.76546] Incremental R2 (full-covars): 0.03907 PGS R2 (no covariates): 0.03932 [0.03645, 0.0422]	age, sex, UKB array type, Genotype PCs	—
PPM008714	PGS001241 (GBE_INI3143)	PSS007221\| African Ancestry\| 2,253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width	—	—	R²: 0.17944 [0.16254, 0.19633] Incremental R2 (full-covars): 0.02779 PGS R2 (no covariates): 0.03934 [0.03008, 0.04861]	age, sex, UKB array type, Genotype PCs	—
PPM008715	PGS001241 (GBE_INI3143)	PSS007222\| East Asian Ancestry\| 795 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width	—	—	R²: 0.39023 [0.35413, 0.42632] Incremental R2 (full-covars): 0.02097 PGS R2 (no covariates): 0.08944 [0.06363, 0.11524]	age, sex, UKB array type, Genotype PCs	—
PPM008716	PGS001241 (GBE_INI3143)	PSS007223\| European Ancestry\| 12,376 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width	—	—	R²: 0.39626 [0.38682, 0.4057] Incremental R2 (full-covars): 0.10172 PGS R2 (no covariates): 0.09768 [0.09068, 0.10468]	age, sex, UKB array type, Genotype PCs	—
PPM008717	PGS001241 (GBE_INI3143)	PSS007224\| South Asian Ancestry\| 2,312 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width	—	—	R²: 0.31082 [0.29381, 0.32783] Incremental R2 (full-covars): 0.06147 PGS R2 (no covariates): 0.07442 [0.06324, 0.0856]	age, sex, UKB array type, Genotype PCs	—
PPM008718	PGS001241 (GBE_INI3143)	PSS007225\| European Ancestry\| 38,834 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width	—	—	R²: 0.36778 [0.362, 0.37357] Incremental R2 (full-covars): 0.10741 PGS R2 (no covariates): 0.10609 [0.10169, 0.11048]	age, sex, UKB array type, Genotype PCs	—
PPM008719	PGS001242 (GBE_INI4100)	PSS007271\| African Ancestry\| 3,560 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (L)	—	—	R²: 0.17615 [0.15934, 0.19296] Incremental R2 (full-covars): 0.00354 PGS R2 (no covariates): 0.01739 [0.01109, 0.02368]	age, sex, UKB array type, Genotype PCs	—
PPM008720	PGS001242 (GBE_INI4100)	PSS007272\| East Asian Ancestry\| 781 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (L)	—	—	R²: 0.37494 [0.33867, 0.41122] Incremental R2 (full-covars): 0.0398 PGS R2 (no covariates): 0.05591 [0.03475, 0.07706]	age, sex, UKB array type, Genotype PCs	—
PPM008721	PGS001242 (GBE_INI4100)	PSS007273\| European Ancestry\| 10,636 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (L)	—	—	R²: 0.38151 [0.37202, 0.391] Incremental R2 (full-covars): 0.07548 PGS R2 (no covariates): 0.07696 [0.0706, 0.08332]	age, sex, UKB array type, Genotype PCs	—
PPM008722	PGS001242 (GBE_INI4100)	PSS007274\| South Asian Ancestry\| 5,043 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (L)	—	—	R²: 0.33251 [0.31547, 0.34955] Incremental R2 (full-covars): 0.06787 PGS R2 (no covariates): 0.06574 [0.05514, 0.07635]	age, sex, UKB array type, Genotype PCs	—
PPM008723	PGS001242 (GBE_INI4100)	PSS007275\| European Ancestry\| 25,716 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (L)	—	—	R²: 0.34469 [0.33888, 0.3505] Incremental R2 (full-covars): 0.08959 PGS R2 (no covariates): 0.09278 [0.08861, 0.09695]	age, sex, UKB array type, Genotype PCs	—
PPM008724	PGS001243 (GBE_INI4119)	PSS007301\| African Ancestry\| 3,592 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (R)	—	—	R²: 0.14932 [0.13334, 0.1653] Incremental R2 (full-covars): 0.00481 PGS R2 (no covariates): 0.01872 [0.01219, 0.02525]	age, sex, UKB array type, Genotype PCs	—
PPM008725	PGS001243 (GBE_INI4119)	PSS007302\| East Asian Ancestry\| 782 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (R)	—	—	R²: 0.36262 [0.32624, 0.39899] Incremental R2 (full-covars): 0.04629 PGS R2 (no covariates): 0.06865 [0.04552, 0.09177]	age, sex, UKB array type, Genotype PCs	—
PPM008726	PGS001243 (GBE_INI4119)	PSS007303\| European Ancestry\| 10,633 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (R)	—	—	R²: 0.36171 [0.35218, 0.37125] Incremental R2 (full-covars): 0.07878 PGS R2 (no covariates): 0.0812 [0.0747, 0.0877]	age, sex, UKB array type, Genotype PCs	—
PPM008727	PGS001243 (GBE_INI4119)	PSS007304\| South Asian Ancestry\| 5,041 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (R)	—	—	R²: 0.30011 [0.28313, 0.31708] Incremental R2 (full-covars): 0.06364 PGS R2 (no covariates): 0.06153 [0.05122, 0.07184]	age, sex, UKB array type, Genotype PCs	—
PPM008728	PGS001243 (GBE_INI4119)	PSS007305\| European Ancestry\| 25,728 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Ankle spacing width (R)	—	—	R²: 0.31774 [0.31194, 0.32355] Incremental R2 (full-covars): 0.08793 PGS R2 (no covariates): 0.08936 [0.08525, 0.09347]	age, sex, UKB array type, Genotype PCs	—
PPM005330	PGS001379 (GBE_INI22427)	PSS005001\| African Ancestry\| 192 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body surface area	—	—	R²: 0.33045 [0.31174, 0.34916] Incremental R2 (full-covars): 0.00602 PGS R2 (no covariates): 0.00907 [0.00448, 0.01366]	age, sex, UKB array type, Genotype PCs	—
PPM005331	PGS001379 (GBE_INI22427)	PSS005002\| East Asian Ancestry\| 110 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body surface area	—	—	R²: 0.51766 [0.48477, 0.55055] Incremental R2 (full-covars): 0.0075 PGS R2 (no covariates): 0.00447 [-0.00184, 0.01077]	age, sex, UKB array type, Genotype PCs	—
PPM005332	PGS001379 (GBE_INI22427)	PSS005003\| European Ancestry\| 1,708 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body surface area	—	—	R²: 0.45345 [0.44431, 0.46259] Incremental R2 (full-covars): 0.01083 PGS R2 (no covariates): 0.01017 [0.00769, 0.01264]	age, sex, UKB array type, Genotype PCs	—
PPM005333	PGS001379 (GBE_INI22427)	PSS005004\| South Asian Ancestry\| 319 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body surface area	—	—	R²: 0.39431 [0.37747, 0.41115] Incremental R2 (full-covars): 0.00066 PGS R2 (no covariates): 0.00119 [-0.00034, 0.00272]	age, sex, UKB array type, Genotype PCs	—
PPM005334	PGS001379 (GBE_INI22427)	PSS005005\| European Ancestry\| 5,526 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Body surface area	—	—	R²: 0.45482 [0.44927, 0.46037] Incremental R2 (full-covars): 0.01393 PGS R2 (no covariates): 0.02007 [0.01798, 0.02217]	age, sex, UKB array type, Genotype PCs	—
PPM005231	PGS001405 (GBE_INI12144)	PSS004802\| East Asian Ancestry\| 133 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.509 [0.47581, 0.5422] Incremental R2 (full-covars): 0.00258 PGS R2 (no covariates): 0.00401 [-0.00197, 0.00998]	age, sex, UKB array type, Genotype PCs	—
PPM005230	PGS001405 (GBE_INI12144)	PSS004801\| African Ancestry\| 253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.58747 [0.5721, 0.60284] Incremental R2 (full-covars): 0.01915 PGS R2 (no covariates): 0.00938 [0.00471, 0.01404]	age, sex, UKB array type, Genotype PCs	—
PPM005232	PGS001405 (GBE_INI12144)	PSS004803\| European Ancestry\| 2,131 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.59354 [0.58576, 0.60132] Incremental R2 (full-covars): 0.04611 PGS R2 (no covariates): 0.05219 [0.04681, 0.05757]	age, sex, UKB array type, Genotype PCs	—
PPM005233	PGS001405 (GBE_INI12144)	PSS004804\| South Asian Ancestry\| 414 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.56418 [0.54969, 0.57868] Incremental R2 (full-covars): 0.03739 PGS R2 (no covariates): 0.02079 [0.01454, 0.02704]	age, sex, UKB array type, Genotype PCs	—
PPM005234	PGS001405 (GBE_INI12144)	PSS004805\| European Ancestry\| 6,641 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.59871 [0.59403, 0.6034] Incremental R2 (full-covars): 0.05016 PGS R2 (no covariates): 0.05141 [0.04816, 0.05466]	age, sex, UKB array type, Genotype PCs	—
PPM009497	PGS001825 (portability-PLR_278)	PSS009295\| European Ancestry\| 20,000 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0547 [0.0409, 0.0686]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009499	PGS001825 (portability-PLR_278)	PSS008623\| European Ancestry\| 6,660 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0516 [0.0276, 0.0756]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009500	PGS001825 (portability-PLR_278)	PSS008398\| Greater Middle Eastern Ancestry\| 1,200 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0493 [-0.0078, 0.106]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009501	PGS001825 (portability-PLR_278)	PSS008177\| South Asian Ancestry\| 6,331 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0334 [0.0087, 0.058]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009502	PGS001825 (portability-PLR_278)	PSS007963\| East Asian Ancestry\| 1,810 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): -0.0049 [-0.0513, 0.0414]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009503	PGS001825 (portability-PLR_278)	PSS007744\| African Ancestry\| 2,484 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0323 [-0.0072, 0.0717]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009504	PGS001825 (portability-PLR_278)	PSS008848\| African Ancestry\| 3,924 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0208 [-0.0105, 0.0522]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009498	PGS001825 (portability-PLR_278)	PSS009069\| European Ancestry\| 4,136 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0453 [0.0148, 0.0758]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009981	PGS001887 (portability-PLR_ankle_spacing)	PSS009157\| European Ancestry\| 2,149 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.402 [0.3658, 0.437]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009982	PGS001887 (portability-PLR_ankle_spacing)	PSS008711\| European Ancestry\| 3,469 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3944 [0.3659, 0.4222]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009983	PGS001887 (portability-PLR_ankle_spacing)	PSS008485\| Greater Middle Eastern Ancestry\| 507 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3841 [0.3057, 0.4574]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009984	PGS001887 (portability-PLR_ankle_spacing)	PSS008263\| South Asian Ancestry\| 1,985 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3675 [0.3286, 0.4051]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009985	PGS001887 (portability-PLR_ankle_spacing)	PSS008041\| East Asian Ancestry\| 819 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3258 [0.2623, 0.3864]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009986	PGS001887 (portability-PLR_ankle_spacing)	PSS007827\| African Ancestry\| 801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.2218 [0.1541, 0.2875]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009987	PGS001887 (portability-PLR_ankle_spacing)	PSS008931\| African Ancestry\| 1,421 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.1388 [0.0871, 0.1898]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009980	PGS001887 (portability-PLR_ankle_spacing)	PSS009383\| European Ancestry\| 11,502 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.4249 [0.4098, 0.4398]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010020	PGS001892 (portability-PLR_birth_weight)	PSS009388\| European Ancestry\| 11,255 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1913 [0.1734, 0.209]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010021	PGS001892 (portability-PLR_birth_weight)	PSS009162\| European Ancestry\| 2,139 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1447 [0.1027, 0.1861]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010022	PGS001892 (portability-PLR_birth_weight)	PSS008716\| European Ancestry\| 3,422 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1639 [0.131, 0.1964]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010023	PGS001892 (portability-PLR_birth_weight)	PSS008490\| Greater Middle Eastern Ancestry\| 303 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1653 [0.0496, 0.2766]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010024	PGS001892 (portability-PLR_birth_weight)	PSS008268\| South Asian Ancestry\| 1,505 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1064 [0.0559, 0.1565]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010025	PGS001892 (portability-PLR_birth_weight)	PSS008046\| East Asian Ancestry\| 714 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1533 [0.0798, 0.2251]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010027	PGS001892 (portability-PLR_birth_weight)	PSS008936\| African Ancestry\| 791 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1149 [0.0447, 0.1841]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010026	PGS001892 (portability-PLR_birth_weight)	PSS007832\| African Ancestry\| 840 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.0983 [0.03, 0.1656]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010219	PGS001917 (portability-PLR_fat_perc)	PSS009405\| European Ancestry\| 19,632 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3451 [0.3327, 0.3573]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010220	PGS001917 (portability-PLR_fat_perc)	PSS009179\| European Ancestry\| 4,073 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3424 [0.3149, 0.3693]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010221	PGS001917 (portability-PLR_fat_perc)	PSS008733\| European Ancestry\| 6,533 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3184 [0.2964, 0.3401]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010222	PGS001917 (portability-PLR_fat_perc)	PSS008507\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.286 [0.2316, 0.3386]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010223	PGS001917 (portability-PLR_fat_perc)	PSS008285\| South Asian Ancestry\| 6,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.2751 [0.2518, 0.298]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010224	PGS001917 (portability-PLR_fat_perc)	PSS008062\| East Asian Ancestry\| 1,779 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.2312 [0.1865, 0.275]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010225	PGS001917 (portability-PLR_fat_perc)	PSS007849\| African Ancestry\| 2,418 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.1519 [0.1126, 0.1908]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010226	PGS001917 (portability-PLR_fat_perc)	PSS008953\| African Ancestry\| 3,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.1483 [0.1169, 0.1793]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010291	PGS001927 (portability-PLR_hand_grip_strength)	PSS009413\| European Ancestry\| 19,855 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2515 [0.2384, 0.2645]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010292	PGS001927 (portability-PLR_hand_grip_strength)	PSS009187\| European Ancestry\| 4,105 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2485 [0.2195, 0.2771]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010293	PGS001927 (portability-PLR_hand_grip_strength)	PSS008741\| European Ancestry\| 6,598 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2292 [0.2062, 0.252]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010294	PGS001927 (portability-PLR_hand_grip_strength)	PSS008515\| Greater Middle Eastern Ancestry\| 1,168 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.1973 [0.1411, 0.2523]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010296	PGS001927 (portability-PLR_hand_grip_strength)	PSS008070\| East Asian Ancestry\| 1,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.1616 [0.116, 0.2065]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010297	PGS001927 (portability-PLR_hand_grip_strength)	PSS007857\| African Ancestry\| 2,448 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.0843 [0.0446, 0.1236]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010298	PGS001927 (portability-PLR_hand_grip_strength)	PSS008961\| African Ancestry\| 3,849 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.0651 [0.0334, 0.0965]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010295	PGS001927 (portability-PLR_hand_grip_strength)	PSS008293\| South Asian Ancestry\| 6,223 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.1688 [0.1445, 0.1929]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010307	PGS001929 (portability-PLR_height)	PSS009416\| European Ancestry\| 19,953 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6344 [0.626, 0.6426]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010308	PGS001929 (portability-PLR_height)	PSS009190\| European Ancestry\| 4,126 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6098 [0.5902, 0.6286]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010310	PGS001929 (portability-PLR_height)	PSS008518\| Greater Middle Eastern Ancestry\| 1,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5167 [0.4732, 0.5576]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010311	PGS001929 (portability-PLR_height)	PSS008296\| South Asian Ancestry\| 6,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4923 [0.4731, 0.511]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010312	PGS001929 (portability-PLR_height)	PSS008073\| East Asian Ancestry\| 1,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4504 [0.4125, 0.4866]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010313	PGS001929 (portability-PLR_height)	PSS007860\| African Ancestry\| 2,450 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.3454 [0.3099, 0.3799]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010314	PGS001929 (portability-PLR_height)	PSS008964\| African Ancestry\| 3,863 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.2731 [0.2436, 0.3021]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010309	PGS001929 (portability-PLR_height)	PSS008744\| European Ancestry\| 6,633 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5938 [0.578, 0.6092]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010419	PGS001943 (portability-PLR_log_BMI)	PSS009429\| European Ancestry\| 19,937 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3698 [0.3577, 0.3817]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010420	PGS001943 (portability-PLR_log_BMI)	PSS009203\| European Ancestry\| 4,124 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3628 [0.336, 0.3891]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010421	PGS001943 (portability-PLR_log_BMI)	PSS008757\| European Ancestry\| 6,622 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3557 [0.3345, 0.3766]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010422	PGS001943 (portability-PLR_log_BMI)	PSS008531\| Greater Middle Eastern Ancestry\| 1,178 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3001 [0.2468, 0.3517]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010423	PGS001943 (portability-PLR_log_BMI)	PSS008309\| South Asian Ancestry\| 6,145 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3048 [0.2819, 0.3274]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010424	PGS001943 (portability-PLR_log_BMI)	PSS008086\| East Asian Ancestry\| 1,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.2501 [0.206, 0.2931]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010425	PGS001943 (portability-PLR_log_BMI)	PSS007873\| African Ancestry\| 2,444 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.1973 [0.1587, 0.2352]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010426	PGS001943 (portability-PLR_log_BMI)	PSS008977\| African Ancestry\| 3,859 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.1571 [0.1261, 0.1878]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010476	PGS001950 (portability-PLR_log_fat_free_mass)	PSS009217\| European Ancestry\| 4,072 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.449 [0.424, 0.4732]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010477	PGS001950 (portability-PLR_log_fat_free_mass)	PSS008771\| European Ancestry\| 6,538 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.4291 [0.4091, 0.4487]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010478	PGS001950 (portability-PLR_log_fat_free_mass)	PSS008545\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3709 [0.3195, 0.42]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010479	PGS001950 (portability-PLR_log_fat_free_mass)	PSS008323\| South Asian Ancestry\| 6,185 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3879 [0.3665, 0.4089]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010480	PGS001950 (portability-PLR_log_fat_free_mass)	PSS008100\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3154 [0.2727, 0.3568]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010481	PGS001950 (portability-PLR_log_fat_free_mass)	PSS007887\| African Ancestry\| 2,420 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.2517 [0.2139, 0.2888]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010482	PGS001950 (portability-PLR_log_fat_free_mass)	PSS008991\| African Ancestry\| 3,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.1941 [0.1633, 0.2246]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010475	PGS001950 (portability-PLR_log_fat_free_mass)	PSS009443\| European Ancestry\| 19,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.458 [0.4469, 0.469]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010483	PGS001951 (portability-PLR_log_fat_mass)	PSS009444\| European Ancestry\| 19,612 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3534 [0.3411, 0.3656]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010484	PGS001951 (portability-PLR_log_fat_mass)	PSS009218\| European Ancestry\| 4,065 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3489 [0.3215, 0.3757]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010485	PGS001951 (portability-PLR_log_fat_mass)	PSS008772\| European Ancestry\| 6,519 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3257 [0.3038, 0.3473]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010486	PGS001951 (portability-PLR_log_fat_mass)	PSS008546\| Greater Middle Eastern Ancestry\| 1,149 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.2949 [0.2407, 0.3472]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010487	PGS001951 (portability-PLR_log_fat_mass)	PSS008324\| South Asian Ancestry\| 6,173 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.292 [0.2689, 0.3146]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010489	PGS001951 (portability-PLR_log_fat_mass)	PSS007888\| African Ancestry\| 2,418 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.1615 [0.1223, 0.2002]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010490	PGS001951 (portability-PLR_log_fat_mass)	PSS008992\| African Ancestry\| 3,794 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.141 [0.1096, 0.1722]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010488	PGS001951 (portability-PLR_log_fat_mass)	PSS008101\| East Asian Ancestry\| 1,766 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.2477 [0.2031, 0.2912]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010539	PGS001958 (portability-PLR_log_hip_circ)	PSS009449\| European Ancestry\| 19,965 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3373 [0.3249, 0.3495]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010540	PGS001958 (portability-PLR_log_hip_circ)	PSS009223\| European Ancestry\| 4,125 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3442 [0.317, 0.3709]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010541	PGS001958 (portability-PLR_log_hip_circ)	PSS008777\| European Ancestry\| 6,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3192 [0.2974, 0.3407]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010542	PGS001958 (portability-PLR_log_hip_circ)	PSS008551\| Greater Middle Eastern Ancestry\| 1,181 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3169 [0.2642, 0.3677]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010543	PGS001958 (portability-PLR_log_hip_circ)	PSS008329\| South Asian Ancestry\| 6,267 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.284 [0.261, 0.3066]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010544	PGS001958 (portability-PLR_log_hip_circ)	PSS008106\| East Asian Ancestry\| 1,802 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.2472 [0.2031, 0.2903]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010545	PGS001958 (portability-PLR_log_hip_circ)	PSS007893\| African Ancestry\| 2,456 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.1739 [0.1351, 0.2121]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010546	PGS001958 (portability-PLR_log_hip_circ)	PSS008997\| African Ancestry\| 3,867 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.1434 [0.1123, 0.1742]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010563	PGS001961 (portability-PLR_log_impedance)	PSS009450\| European Ancestry\| 19,624 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.4099 [0.3982, 0.4215]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010564	PGS001961 (portability-PLR_log_impedance)	PSS009224\| European Ancestry\| 4,069 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.4104 [0.3845, 0.4357]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010565	PGS001961 (portability-PLR_log_impedance)	PSS008778\| European Ancestry\| 6,535 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.3868 [0.366, 0.4073]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010566	PGS001961 (portability-PLR_log_impedance)	PSS008552\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.4087 [0.359, 0.4561]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010567	PGS001961 (portability-PLR_log_impedance)	PSS008330\| South Asian Ancestry\| 6,178 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.366 [0.3441, 0.3874]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010568	PGS001961 (portability-PLR_log_impedance)	PSS008107\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.2675 [0.2236, 0.3104]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010569	PGS001961 (portability-PLR_log_impedance)	PSS007894\| African Ancestry\| 2,417 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.229 [0.1907, 0.2666]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010570	PGS001961 (portability-PLR_log_impedance)	PSS008998\| African Ancestry\| 3,798 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.1708 [0.1397, 0.2016]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010739	PGS001983 (portability-PLR_log_waist_circ)	PSS009471\| European Ancestry\| 19,966 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.3233 [0.3108, 0.3356]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010740	PGS001983 (portability-PLR_log_waist_circ)	PSS009245\| European Ancestry\| 4,125 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.3113 [0.2834, 0.3387]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010741	PGS001983 (portability-PLR_log_waist_circ)	PSS008799\| European Ancestry\| 6,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.303 [0.281, 0.3247]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010742	PGS001983 (portability-PLR_log_waist_circ)	PSS008573\| Greater Middle Eastern Ancestry\| 1,181 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.248 [0.1932, 0.3012]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010743	PGS001983 (portability-PLR_log_waist_circ)	PSS008351\| South Asian Ancestry\| 6,267 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.255 [0.2317, 0.2781]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010744	PGS001983 (portability-PLR_log_waist_circ)	PSS008128\| East Asian Ancestry\| 1,802 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.2068 [0.1619, 0.2508]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010745	PGS001983 (portability-PLR_log_waist_circ)	PSS007915\| African Ancestry\| 2,457 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.1624 [0.1235, 0.2008]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010746	PGS001983 (portability-PLR_log_waist_circ)	PSS009019\| African Ancestry\| 3,868 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.1264 [0.0952, 0.1574]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010747	PGS001984 (portability-PLR_log_water_mass)	PSS009472\| European Ancestry\| 19,641 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.4574 [0.4462, 0.4684]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010749	PGS001984 (portability-PLR_log_water_mass)	PSS008800\| European Ancestry\| 6,539 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.4309 [0.4109, 0.4505]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010750	PGS001984 (portability-PLR_log_water_mass)	PSS008574\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3695 [0.3181, 0.4188]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010752	PGS001984 (portability-PLR_log_water_mass)	PSS008129\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3166 [0.274, 0.358]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010753	PGS001984 (portability-PLR_log_water_mass)	PSS007916\| African Ancestry\| 2,420 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.2518 [0.2139, 0.2889]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010754	PGS001984 (portability-PLR_log_water_mass)	PSS009020\| African Ancestry\| 3,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.1924 [0.1615, 0.2229]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010748	PGS001984 (portability-PLR_log_water_mass)	PSS009246\| European Ancestry\| 4,073 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.4477 [0.4228, 0.472]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010751	PGS001984 (portability-PLR_log_water_mass)	PSS008352\| South Asian Ancestry\| 6,185 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3881 [0.3667, 0.4091]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010914	PGS002005 (portability-PLR_sitting_height)	PSS009490\| European Ancestry\| 19,908 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.5055 [0.4951, 0.5158]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010915	PGS002005 (portability-PLR_sitting_height)	PSS009264\| European Ancestry\| 4,122 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.487 [0.4633, 0.51]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010916	PGS002005 (portability-PLR_sitting_height)	PSS008818\| European Ancestry\| 6,623 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.4655 [0.4464, 0.4842]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010917	PGS002005 (portability-PLR_sitting_height)	PSS008592\| Greater Middle Eastern Ancestry\| 1,175 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.4025 [0.353, 0.4497]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010918	PGS002005 (portability-PLR_sitting_height)	PSS008370\| South Asian Ancestry\| 6,123 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.3897 [0.3682, 0.4108]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010919	PGS002005 (portability-PLR_sitting_height)	PSS008146\| East Asian Ancestry\| 1,800 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.3397 [0.298, 0.3802]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010920	PGS002005 (portability-PLR_sitting_height)	PSS007934\| African Ancestry\| 2,443 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.24 [0.2021, 0.2772]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010921	PGS002005 (portability-PLR_sitting_height)	PSS009038\| African Ancestry\| 3,857 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.2113 [0.1808, 0.2413]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011135	PGS002033 (portability-ldpred2_278)	PSS009295\| European Ancestry\| 20,000 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0789 [0.0651, 0.0927]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011137	PGS002033 (portability-ldpred2_278)	PSS008623\| European Ancestry\| 6,660 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0824 [0.0585, 0.1062]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011138	PGS002033 (portability-ldpred2_278)	PSS008398\| Greater Middle Eastern Ancestry\| 1,200 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0801 [0.0232, 0.1366]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011139	PGS002033 (portability-ldpred2_278)	PSS008177\| South Asian Ancestry\| 6,331 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0502 [0.0255, 0.0747]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011140	PGS002033 (portability-ldpred2_278)	PSS007963\| East Asian Ancestry\| 1,810 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0109 [-0.0354, 0.0572]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011141	PGS002033 (portability-ldpred2_278)	PSS007744\| African Ancestry\| 2,484 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0265 [-0.013, 0.0659]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011142	PGS002033 (portability-ldpred2_278)	PSS008848\| African Ancestry\| 3,924 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0516 [0.0203, 0.0829]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011136	PGS002033 (portability-ldpred2_278)	PSS009069\| European Ancestry\| 4,136 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Overweight, obesity and other hyperalimentation	—	—	Partial Correlation (partial-r): 0.0523 [0.0218, 0.0827]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011656	PGS002100 (portability-ldpred2_ankle_spacing)	PSS009383\| European Ancestry\| 11,502 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.4158 [0.4006, 0.4309]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011657	PGS002100 (portability-ldpred2_ankle_spacing)	PSS009157\| European Ancestry\| 2,149 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.39 [0.3534, 0.4255]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011659	PGS002100 (portability-ldpred2_ankle_spacing)	PSS008485\| Greater Middle Eastern Ancestry\| 507 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3735 [0.2944, 0.4475]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011660	PGS002100 (portability-ldpred2_ankle_spacing)	PSS008263\| South Asian Ancestry\| 1,985 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3529 [0.3136, 0.391]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011661	PGS002100 (portability-ldpred2_ankle_spacing)	PSS008041\| East Asian Ancestry\| 819 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3292 [0.2659, 0.3897]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011662	PGS002100 (portability-ldpred2_ankle_spacing)	PSS007827\| African Ancestry\| 801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.2254 [0.1578, 0.291]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011663	PGS002100 (portability-ldpred2_ankle_spacing)	PSS008931\| African Ancestry\| 1,421 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.1151 [0.0632, 0.1665]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011658	PGS002100 (portability-ldpred2_ankle_spacing)	PSS008711\| European Ancestry\| 3,469 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Ankle spacing width	—	—	Partial Correlation (partial-r): 0.3974 [0.3689, 0.4251]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011696	PGS002105 (portability-ldpred2_birth_weight)	PSS009388\| European Ancestry\| 11,255 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.2001 [0.1823, 0.2178]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011697	PGS002105 (portability-ldpred2_birth_weight)	PSS009162\| European Ancestry\| 2,139 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1536 [0.1118, 0.1949]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011698	PGS002105 (portability-ldpred2_birth_weight)	PSS008716\| European Ancestry\| 3,422 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1634 [0.1305, 0.1959]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011699	PGS002105 (portability-ldpred2_birth_weight)	PSS008490\| Greater Middle Eastern Ancestry\| 303 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.2068 [0.0924, 0.3158]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011701	PGS002105 (portability-ldpred2_birth_weight)	PSS008046\| East Asian Ancestry\| 714 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.197 [0.1244, 0.2675]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011702	PGS002105 (portability-ldpred2_birth_weight)	PSS007832\| African Ancestry\| 840 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.0764 [0.008, 0.1441]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011703	PGS002105 (portability-ldpred2_birth_weight)	PSS008936\| African Ancestry\| 791 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.1227 [0.0526, 0.1917]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011700	PGS002105 (portability-ldpred2_birth_weight)	PSS008268\| South Asian Ancestry\| 1,505 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Birth weight	—	—	Partial Correlation (partial-r): 0.113 [0.0625, 0.163]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011919	PGS002133 (portability-ldpred2_fat_perc)	PSS009405\| European Ancestry\| 19,632 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3443 [0.3319, 0.3566]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011920	PGS002133 (portability-ldpred2_fat_perc)	PSS009179\| European Ancestry\| 4,073 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3456 [0.3182, 0.3724]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011921	PGS002133 (portability-ldpred2_fat_perc)	PSS008733\| European Ancestry\| 6,533 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.3256 [0.3037, 0.3472]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011922	PGS002133 (portability-ldpred2_fat_perc)	PSS008507\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.2896 [0.2353, 0.3421]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011923	PGS002133 (portability-ldpred2_fat_perc)	PSS008285\| South Asian Ancestry\| 6,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.273 [0.2497, 0.2959]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011924	PGS002133 (portability-ldpred2_fat_perc)	PSS008062\| East Asian Ancestry\| 1,779 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.2302 [0.1854, 0.274]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011925	PGS002133 (portability-ldpred2_fat_perc)	PSS007849\| African Ancestry\| 2,418 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.153 [0.1136, 0.1918]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011926	PGS002133 (portability-ldpred2_fat_perc)	PSS008953\| African Ancestry\| 3,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body fat percentage	—	—	Partial Correlation (partial-r): 0.1577 [0.1265, 0.1887]	sex, age, birth date, deprivation index, 16 PCs	—
PPM020884	PGS002133 (portability-ldpred2_fat_perc)	PSS011442\| European Ancestry\| 564 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.13 [0.94, 1.37]	—	—	—	—
PPM020899	PGS002133 (portability-ldpred2_fat_perc)	PSS011441\| African Ancestry\| 504 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 0.94 [0.76, 1.15]	—	—	—	—
PPM011995	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS008293\| South Asian Ancestry\| 6,223 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.1759 [0.1517, 0.1999]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011991	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS009413\| European Ancestry\| 19,855 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.262 [0.249, 0.2749]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011992	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS009187\| European Ancestry\| 4,105 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2543 [0.2254, 0.2827]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011993	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS008741\| European Ancestry\| 6,598 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2433 [0.2204, 0.2659]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011994	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS008515\| Greater Middle Eastern Ancestry\| 1,168 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.2026 [0.1465, 0.2575]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011996	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS008070\| East Asian Ancestry\| 1,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.1631 [0.1175, 0.208]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011997	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS007857\| African Ancestry\| 2,448 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.0966 [0.0571, 0.1359]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011998	PGS002143 (portability-ldpred2_hand_grip_strength)	PSS008961\| African Ancestry\| 3,849 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hand grip strength (mean of both)	—	—	Partial Correlation (partial-r): 0.0798 [0.0482, 0.1112]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012015	PGS002146 (portability-ldpred2_height)	PSS009416\| European Ancestry\| 19,953 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6133 [0.6046, 0.6219]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012016	PGS002146 (portability-ldpred2_height)	PSS009190\| European Ancestry\| 4,126 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5922 [0.5719, 0.6117]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012017	PGS002146 (portability-ldpred2_height)	PSS008744\| European Ancestry\| 6,633 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5752 [0.5589, 0.5911]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012018	PGS002146 (portability-ldpred2_height)	PSS008518\| Greater Middle Eastern Ancestry\| 1,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4948 [0.4501, 0.5371]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012019	PGS002146 (portability-ldpred2_height)	PSS008296\| South Asian Ancestry\| 6,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4752 [0.4556, 0.4943]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012020	PGS002146 (portability-ldpred2_height)	PSS008073\| East Asian Ancestry\| 1,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4297 [0.3911, 0.4668]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012021	PGS002146 (portability-ldpred2_height)	PSS007860\| African Ancestry\| 2,450 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.3207 [0.2846, 0.356]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012022	PGS002146 (portability-ldpred2_height)	PSS008964\| African Ancestry\| 3,863 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.2554 [0.2256, 0.2847]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012135	PGS002161 (portability-ldpred2_log_BMI)	PSS009429\| European Ancestry\| 19,937 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3664 [0.3544, 0.3784]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012136	PGS002161 (portability-ldpred2_log_BMI)	PSS009203\| European Ancestry\| 4,124 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3698 [0.3431, 0.3959]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012137	PGS002161 (portability-ldpred2_log_BMI)	PSS008757\| European Ancestry\| 6,622 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.3595 [0.3384, 0.3804]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012138	PGS002161 (portability-ldpred2_log_BMI)	PSS008531\| Greater Middle Eastern Ancestry\| 1,178 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.2932 [0.2396, 0.345]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012139	PGS002161 (portability-ldpred2_log_BMI)	PSS008309\| South Asian Ancestry\| 6,145 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.308 [0.2851, 0.3305]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012141	PGS002161 (portability-ldpred2_log_BMI)	PSS007873\| African Ancestry\| 2,444 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.2104 [0.1721, 0.2482]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012142	PGS002161 (portability-ldpred2_log_BMI)	PSS008977\| African Ancestry\| 3,859 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.1573 [0.1263, 0.188]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012140	PGS002161 (portability-ldpred2_log_BMI)	PSS008086\| East Asian Ancestry\| 1,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Body mass index (BMI)	—	—	Partial Correlation (partial-r): 0.2694 [0.2257, 0.3119]	sex, age, birth date, deprivation index, 16 PCs	—
PPM020885	PGS002161 (portability-ldpred2_log_BMI)	PSS011442\| European Ancestry\| 564 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.12 [0.92, 1.35]	—	—	—	—
PPM020893	PGS002161 (portability-ldpred2_log_BMI)	PSS011441\| African Ancestry\| 504 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.1 [0.89, 1.36]	—	—	—	—
PPM012191	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS009443\| European Ancestry\| 19,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.447 [0.4358, 0.4581]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012192	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS009217\| European Ancestry\| 4,072 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.4493 [0.4244, 0.4735]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012193	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS008771\| European Ancestry\| 6,538 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.4231 [0.4029, 0.4428]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012194	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS008545\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3653 [0.3138, 0.4148]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012195	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS008323\| South Asian Ancestry\| 6,185 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3787 [0.3571, 0.3999]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012196	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS008100\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.3169 [0.2743, 0.3583]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012197	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS007887\| African Ancestry\| 2,420 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.2494 [0.2115, 0.2866]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012198	PGS002168 (portability-ldpred2_log_fat_free_mass)	PSS008991\| African Ancestry\| 3,799 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat-free mass	—	—	Partial Correlation (partial-r): 0.1911 [0.1602, 0.2216]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012199	PGS002169 (portability-ldpred2_log_fat_mass)	PSS009444\| European Ancestry\| 19,612 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3489 [0.3366, 0.3612]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012201	PGS002169 (portability-ldpred2_log_fat_mass)	PSS008772\| European Ancestry\| 6,519 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3303 [0.3085, 0.3518]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012202	PGS002169 (portability-ldpred2_log_fat_mass)	PSS008546\| Greater Middle Eastern Ancestry\| 1,149 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.2893 [0.2349, 0.3418]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012203	PGS002169 (portability-ldpred2_log_fat_mass)	PSS008324\| South Asian Ancestry\| 6,173 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.2913 [0.2683, 0.314]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012204	PGS002169 (portability-ldpred2_log_fat_mass)	PSS008101\| East Asian Ancestry\| 1,766 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.2544 [0.21, 0.2978]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012205	PGS002169 (portability-ldpred2_log_fat_mass)	PSS007888\| African Ancestry\| 2,418 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.1745 [0.1355, 0.2131]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012206	PGS002169 (portability-ldpred2_log_fat_mass)	PSS008992\| African Ancestry\| 3,794 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.147 [0.1156, 0.1781]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012200	PGS002169 (portability-ldpred2_log_fat_mass)	PSS009218\| European Ancestry\| 4,065 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body fat mass	—	—	Partial Correlation (partial-r): 0.3562 [0.329, 0.3828]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012255	PGS002176 (portability-ldpred2_log_hip_circ)	PSS009449\| European Ancestry\| 19,965 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3358 [0.3234, 0.3481]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012256	PGS002176 (portability-ldpred2_log_hip_circ)	PSS009223\| European Ancestry\| 4,125 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3499 [0.3228, 0.3765]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012257	PGS002176 (portability-ldpred2_log_hip_circ)	PSS008777\| European Ancestry\| 6,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3202 [0.2984, 0.3417]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012258	PGS002176 (portability-ldpred2_log_hip_circ)	PSS008551\| Greater Middle Eastern Ancestry\| 1,181 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.3271 [0.2747, 0.3775]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012259	PGS002176 (portability-ldpred2_log_hip_circ)	PSS008329\| South Asian Ancestry\| 6,267 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.2877 [0.2648, 0.3103]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012260	PGS002176 (portability-ldpred2_log_hip_circ)	PSS008106\| East Asian Ancestry\| 1,802 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.2616 [0.2178, 0.3043]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012261	PGS002176 (portability-ldpred2_log_hip_circ)	PSS007893\| African Ancestry\| 2,456 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.1822 [0.1435, 0.2203]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012262	PGS002176 (portability-ldpred2_log_hip_circ)	PSS008997\| African Ancestry\| 3,867 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Hip circumference	—	—	Partial Correlation (partial-r): 0.1523 [0.1212, 0.183]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012279	PGS002179 (portability-ldpred2_log_impedance)	PSS009450\| European Ancestry\| 19,624 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.4005 [0.3887, 0.4122]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012280	PGS002179 (portability-ldpred2_log_impedance)	PSS009224\| European Ancestry\| 4,069 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.3968 [0.3705, 0.4224]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012281	PGS002179 (portability-ldpred2_log_impedance)	PSS008778\| European Ancestry\| 6,535 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.3774 [0.3564, 0.398]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012282	PGS002179 (portability-ldpred2_log_impedance)	PSS008552\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.3911 [0.3406, 0.4394]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012284	PGS002179 (portability-ldpred2_log_impedance)	PSS008107\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.2885 [0.2451, 0.3307]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012285	PGS002179 (portability-ldpred2_log_impedance)	PSS007894\| African Ancestry\| 2,417 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.232 [0.1937, 0.2695]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012286	PGS002179 (portability-ldpred2_log_impedance)	PSS008998\| African Ancestry\| 3,798 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.1673 [0.1361, 0.1981]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012283	PGS002179 (portability-ldpred2_log_impedance)	PSS008330\| South Asian Ancestry\| 6,178 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Impedance of whole body	—	—	Partial Correlation (partial-r): 0.3595 [0.3376, 0.3811]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012455	PGS002201 (portability-ldpred2_log_waist_circ)	PSS009471\| European Ancestry\| 19,966 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.3243 [0.3118, 0.3367]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012456	PGS002201 (portability-ldpred2_log_waist_circ)	PSS009245\| European Ancestry\| 4,125 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.3197 [0.292, 0.3469]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012457	PGS002201 (portability-ldpred2_log_waist_circ)	PSS008799\| European Ancestry\| 6,637 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.3066 [0.2846, 0.3283]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012458	PGS002201 (portability-ldpred2_log_waist_circ)	PSS008573\| Greater Middle Eastern Ancestry\| 1,181 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.2581 [0.2036, 0.311]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012460	PGS002201 (portability-ldpred2_log_waist_circ)	PSS008128\| East Asian Ancestry\| 1,802 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.2159 [0.1712, 0.2597]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012461	PGS002201 (portability-ldpred2_log_waist_circ)	PSS007915\| African Ancestry\| 2,457 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.1768 [0.138, 0.215]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012462	PGS002201 (portability-ldpred2_log_waist_circ)	PSS009019\| African Ancestry\| 3,868 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.1284 [0.0972, 0.1593]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012459	PGS002201 (portability-ldpred2_log_waist_circ)	PSS008351\| South Asian Ancestry\| 6,267 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Waist circumference	—	—	Partial Correlation (partial-r): 0.2563 [0.2329, 0.2793]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012463	PGS002202 (portability-ldpred2_log_water_mass)	PSS009472\| European Ancestry\| 19,641 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.446 [0.4347, 0.4571]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012464	PGS002202 (portability-ldpred2_log_water_mass)	PSS009246\| European Ancestry\| 4,073 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.4481 [0.4232, 0.4724]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012465	PGS002202 (portability-ldpred2_log_water_mass)	PSS008800\| European Ancestry\| 6,539 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.4242 [0.4041, 0.4439]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012466	PGS002202 (portability-ldpred2_log_water_mass)	PSS008574\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3643 [0.3127, 0.4138]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012467	PGS002202 (portability-ldpred2_log_water_mass)	PSS008352\| South Asian Ancestry\| 6,185 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3789 [0.3573, 0.4001]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012468	PGS002202 (portability-ldpred2_log_water_mass)	PSS008129\| East Asian Ancestry\| 1,782 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.3154 [0.2727, 0.3569]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012469	PGS002202 (portability-ldpred2_log_water_mass)	PSS007916\| African Ancestry\| 2,420 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.2493 [0.2114, 0.2865]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012470	PGS002202 (portability-ldpred2_log_water_mass)	PSS009020\| African Ancestry\| 3,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Whole body water mass	—	—	Partial Correlation (partial-r): 0.1924 [0.1615, 0.2229]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012641	PGS002224 (portability-ldpred2_sitting_height)	PSS008592\| Greater Middle Eastern Ancestry\| 1,175 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.3911 [0.3411, 0.4389]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012638	PGS002224 (portability-ldpred2_sitting_height)	PSS009490\| European Ancestry\| 19,908 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.4963 [0.4858, 0.5067]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012639	PGS002224 (portability-ldpred2_sitting_height)	PSS009264\| European Ancestry\| 4,122 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.4829 [0.4591, 0.506]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012640	PGS002224 (portability-ldpred2_sitting_height)	PSS008818\| European Ancestry\| 6,623 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.4602 [0.441, 0.479]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012642	PGS002224 (portability-ldpred2_sitting_height)	PSS008370\| South Asian Ancestry\| 6,123 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.3797 [0.358, 0.4009]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012643	PGS002224 (portability-ldpred2_sitting_height)	PSS008146\| East Asian Ancestry\| 1,800 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.3372 [0.2954, 0.3778]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012645	PGS002224 (portability-ldpred2_sitting_height)	PSS009038\| African Ancestry\| 3,857 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.1914 [0.1607, 0.2217]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012644	PGS002224 (portability-ldpred2_sitting_height)	PSS007934\| African Ancestry\| 2,443 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Sitting height	—	—	Partial Correlation (partial-r): 0.2361 [0.1982, 0.2734]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012804	PGS002251 (PRS97_BMI)	PSS009565\| European Ancestry\| 33,511 individuals	PGP000278 \| Dashti HS et al. BMC Med (2022)	Reported Trait: Body mass index	β: 0.83 [0.76, 0.9]	—	—	age, sex, genotyping array, and 5 PCs of ancestry	beta unit kg/m2
PPM013078	PGS002313 (body_BMIz.BOLT-LMM)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.032	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013127	PGS002313 (body_BMIz.BOLT-LMM)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.06	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013176	PGS002313 (body_BMIz.BOLT-LMM)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.1326	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013225	PGS002313 (body_BMIz.BOLT-LMM)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.082	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013097	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0862	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013195	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.3593	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013244	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2245	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013146	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1592	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013121	PGS002356 (body_WHRadjBMIz.BOLT-LMM)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0167	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013170	PGS002356 (body_WHRadjBMIz.BOLT-LMM)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0412	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013219	PGS002356 (body_WHRadjBMIz.BOLT-LMM)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0764	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013268	PGS002356 (body_WHRadjBMIz.BOLT-LMM)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0414	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013272	PGS002360 (body_BMIz.BOLT-LMM-BBJ)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0005	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013295	PGS002360 (body_BMIz.BOLT-LMM-BBJ)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0397	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013318	PGS002360 (body_BMIz.BOLT-LMM-BBJ)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0056	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013341	PGS002360 (body_BMIz.BOLT-LMM-BBJ)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0109	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013280	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0088	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013303	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1462	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013326	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0353	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013349	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0429	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013366	PGS002385 (body_BMIz.P+T.0.0001)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0003	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013415	PGS002385 (body_BMIz.P+T.0.0001)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0285	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013464	PGS002385 (body_BMIz.P+T.0.0001)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0584	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013513	PGS002385 (body_BMIz.P+T.0.0001)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0341	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013385	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.012	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013434	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0968	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013532	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1346	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013483	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2341	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013409	PGS002428 (body_WHRadjBMIz.P+T.0.0001)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0036	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013458	PGS002428 (body_WHRadjBMIz.P+T.0.0001)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.008	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013507	PGS002428 (body_WHRadjBMIz.P+T.0.0001)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0406	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013556	PGS002428 (body_WHRadjBMIz.P+T.0.0001)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0201	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013611	PGS002434 (body_BMIz.P+T.0.001)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0236	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013660	PGS002434 (body_BMIz.P+T.0.001)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0592	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013709	PGS002434 (body_BMIz.P+T.0.001)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0215	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013562	PGS002434 (body_BMIz.P+T.0.001)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0004	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013581	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0049	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013630	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0953	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013728	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1336	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013679	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2461	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013605	PGS002477 (body_WHRadjBMIz.P+T.0.001)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0008	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013654	PGS002477 (body_WHRadjBMIz.P+T.0.001)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0067	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013703	PGS002477 (body_WHRadjBMIz.P+T.0.001)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0413	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013752	PGS002477 (body_WHRadjBMIz.P+T.0.001)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0164	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013758	PGS002483 (body_BMIz.P+T.0.01)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0001	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013807	PGS002483 (body_BMIz.P+T.0.01)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.003	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013856	PGS002483 (body_BMIz.P+T.0.01)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0466	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013905	PGS002483 (body_BMIz.P+T.0.01)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0111	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013777	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0008	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013826	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0353	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013875	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2204	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013924	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0697	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013801	PGS002526 (body_WHRadjBMIz.P+T.0.01)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0003	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013850	PGS002526 (body_WHRadjBMIz.P+T.0.01)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0077	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013899	PGS002526 (body_WHRadjBMIz.P+T.0.01)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0224	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013948	PGS002526 (body_WHRadjBMIz.P+T.0.01)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0048	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013954	PGS002532 (body_BMIz.P+T.1e-06)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0092	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014003	PGS002532 (body_BMIz.P+T.1e-06)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0149	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014052	PGS002532 (body_BMIz.P+T.1e-06)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0401	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014101	PGS002532 (body_BMIz.P+T.1e-06)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0269	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013973	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0455	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014022	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.099	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014071	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.207	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014120	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1235	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013997	PGS002575 (body_WHRadjBMIz.P+T.1e-06)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0117	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014046	PGS002575 (body_WHRadjBMIz.P+T.1e-06)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0221	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014095	PGS002575 (body_WHRadjBMIz.P+T.1e-06)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0313	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014144	PGS002575 (body_WHRadjBMIz.P+T.1e-06)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0178	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014199	PGS002581 (body_BMIz.P+T.5e-08)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0084	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014150	PGS002581 (body_BMIz.P+T.5e-08)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0077	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014248	PGS002581 (body_BMIz.P+T.5e-08)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0323	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014297	PGS002581 (body_BMIz.P+T.5e-08)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0229	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014169	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0447	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014218	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0997	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014267	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1921	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014316	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1136	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014193	PGS002624 (body_WHRadjBMIz.P+T.5e-08)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0117	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014242	PGS002624 (body_WHRadjBMIz.P+T.5e-08)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.016	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014291	PGS002624 (body_WHRadjBMIz.P+T.5e-08)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0273	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014340	PGS002624 (body_WHRadjBMIz.P+T.5e-08)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.016	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014346	PGS002630 (body_BMIz.PolyFun-pred)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0345	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014395	PGS002630 (body_BMIz.PolyFun-pred)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0624	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014444	PGS002630 (body_BMIz.PolyFun-pred)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1307	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014493	PGS002630 (body_BMIz.PolyFun-pred)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0832	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014463	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.3823	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014365	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1149	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014414	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1634	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014512	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.2378	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014389	PGS002673 (body_WHRadjBMIz.PolyFun-pred)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0289	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014438	PGS002673 (body_WHRadjBMIz.PolyFun-pred)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0456	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014487	PGS002673 (body_WHRadjBMIz.PolyFun-pred)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0799	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014536	PGS002673 (body_WHRadjBMIz.PolyFun-pred)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0442	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014542	PGS002679 (body_BMIz.SBayesR)	PSS009695\| African Ancestry\| 6,399 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0317	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014591	PGS002679 (body_BMIz.SBayesR)	PSS009696\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0587	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014640	PGS002679 (body_BMIz.SBayesR)	PSS009697\| European Ancestry\| 43,328 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.1271	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014689	PGS002679 (body_BMIz.SBayesR)	PSS009698\| South Asian Ancestry\| 7,911 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: BMI	—	—	Incremental R2 (full model vs. covariates alone): 0.0823	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014561	PGS002698 (body_HEIGHTz.SBayesR)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0852	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014610	PGS002698 (body_HEIGHTz.SBayesR)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1499	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014659	PGS002698 (body_HEIGHTz.SBayesR)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.3449	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014708	PGS002698 (body_HEIGHTz.SBayesR)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.212	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014585	PGS002722 (body_WHRadjBMIz.SBayesR)	PSS009867\| African Ancestry\| 6,423 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0214	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014634	PGS002722 (body_WHRadjBMIz.SBayesR)	PSS009868\| East Asian Ancestry\| 917 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0413	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014683	PGS002722 (body_WHRadjBMIz.SBayesR)	PSS009869\| European Ancestry\| 43,384 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0746	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014732	PGS002722 (body_WHRadjBMIz.SBayesR)	PSS009870\| South Asian Ancestry\| 8,026 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Waist-Hip Ratio	—	—	Incremental R2 (full model vs. covariates alone): 0.0416	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014929	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Height (male)	β: 0.257	—	—	—	—
PPM014930	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Height (female)	β: 0.274	—	—	—	—
PPM014931	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body weight	β: 1.218 [1.141, 1.296]	—	—	—	—
PPM014932	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Waist circumference	β: 0.446 [0.375, 0.517]	—	—	—	—
PPM014933	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Hip circumference	β: 0.601 [0.549, 0.652]	—	—	—	—
PPM014934	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body mass index	β: -0.084 [-0.111, -0.056]	—	—	—	—
PPM014935	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Waist‐hip ratio	β: -0.001 [-0.001, 0.0]	—	—	—	—
PPM014936	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body fat	β: -0.14 [-0.186, -0.095]	—	—	—	—
PPM014937	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Total cholesterol	β: -0.587 [-0.853, -0.321]	—	—	—	—
PPM014938	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Low‐density lipoprotein cholesterol	β: -0.629 [-0.867, -0.391]	—	—	—	—
PPM014943	PGS002751 (GRSrare)	PSS009938\| European Ancestry\| 6,064 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022)	Reported Trait: Overweight	—	—	Odds Ratio (OR, 10th vs. 1st decile): 1.78 [1.14, 2.79]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM014944	PGS002751 (GRSrare)	PSS009938\| European Ancestry\| 6,064 individuals	PGP000363 \| Sapkota Y et al. Nat Med (2022)	Reported Trait: Obesity	—	—	Odds Ratio (OR, 10th vs. 1st decile): 1.37 [0.66, 2.88]	Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs	—
PPM015528	PGS002800 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)	PSS009976\| South Asian Ancestry\| 9,257 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.033	age, sex and 10 genetic principal components	—
PPM015534	PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PSS009977\| African Ancestry\| 6,911 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.085	age, sex and 10 genetic principal components	—
PPM015536	PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PSS009978\| African Ancestry\| 8,238 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.085	age, sex and 10 genetic principal components	—
PPM015523	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009974\| European Ancestry\| 14,587 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.401	age, sex and 10 genetic principal components	—
PPM015525	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009973\| European Ancestry\| 14,058 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.399	age, sex and 10 genetic principal components	—
PPM015527	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009976\| South Asian Ancestry\| 9,257 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.214	age, sex and 10 genetic principal components	—
PPM015529	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009972\| East Asian Ancestry\| 2,246 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.202	age, sex and 10 genetic principal components	—
PPM015531	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009975\| Hispanic or Latin American Ancestry\| 5,798 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.201	age, sex and 10 genetic principal components	—
PPM015533	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009977\| African Ancestry\| 6,911 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.123	age, sex and 10 genetic principal components	—
PPM015535	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009978\| African Ancestry\| 8,238 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.094	age, sex and 10 genetic principal components	—
PPM015530	PGS002803 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)	PSS009972\| East Asian Ancestry\| 2,246 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.157	age, sex and 10 genetic principal components	—
PPM015524	PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PSS009974\| European Ancestry\| 14,587 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.401	age, sex and 10 genetic principal components	—
PPM015526	PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PSS009973\| European Ancestry\| 14,058 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.4	age, sex and 10 genetic principal components	—
PPM015532	PGS002805 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)	PSS009975\| Hispanic or Latin American Ancestry\| 5,798 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.131	age, sex and 10 genetic principal components	—
PPM015587	PGS002811 (ASATadjbmi3_weights_select)	PSS009993\| Multi-ancestry (including European)\| 7,795 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Abdominal adipose tissue volumes adjusted for BMI and height	β: 0.195 (0.016)	—	Odds ratio (OR, top 5% vs reminder): 2.13 [1.46, 3.03]	Age at time of imaging, sex, and the first 10 PCs of genetic ancestry	—
PPM015589	PGS002811 (ASATadjbmi3_weights_select)	PSS009992\| European Ancestry\| 7,888 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: HDL cholesterol	—	—	Beta (top 10 % vs reminder): 0.09 [0.02, 0.17]	Age at enrollment, sex, and the first 10 principal components of genetic ancestry	—
PPM015588	PGS002812 (GFATadjbmi3_weights_select)	PSS009993\| Multi-ancestry (including European)\| 7,795 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Gluteofemoral adipose tissue volumes adjusted for BMI and height	β: 0.262 (0.016)	—	Odds ratio (OR, top 5% vs reminder): 3.81 [2.76, 5.17]	Age at time of imaging, sex, and the first 10 PCs of genetic ancestry	—
PPM015590	PGS002812 (GFATadjbmi3_weights_select)	PSS009992\| European Ancestry\| 7,888 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: HDL cholesterol	—	—	Beta (top 10 % vs reminder): 0.14 [0.07, 0.22]	Age at enrollment, sex, and the first 10 principal components of genetic ancestry	—
PPM015591	PGS002812 (GFATadjbmi3_weights_select)	PSS009992\| European Ancestry\| 7,888 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Triglycerides	—	—	Beta (top 10 % vs reminder): -0.16 [-0.23, -0.08]	Age at enrollment, sex, and the first 10 principal components of genetic ancestry	—
PPM015593	PGS002812 (GFATadjbmi3_weights_select)	PSS009992\| European Ancestry\| 7,888 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Type 2 Diabetes	—	—	Odds ratio (OR, top 10% vs reminder): 0.57 [0.41, 0.78]	Age at enrollment, sex, and the first 10 principal components of genetic ancestry	—
PPM015594	PGS002812 (GFATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: HDL cholesterol	—	—	Beta (top 10 % vs reminder): 0.16 [0.15, 0.18]	—	—
PPM015595	PGS002812 (GFATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Triglycerides	—	—	Beta (top 10 % vs reminder): -0.16 [-0.18, -0.15]	—	—
PPM015596	PGS002812 (GFATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Alanine aminotransferase	—	—	Beta (top 10 % vs reminder): -0.09 [-0.1, -0.07]	—	—
PPM015597	PGS002812 (GFATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Type 2 Diabetes	—	—	Odds ratio (OR, top 10% vs reminder): 0.75 [0.7, 0.8]	—	—
PPM015598	PGS002812 (GFATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Coronary artery disease	—	—	Odds ratio (OR, top 10% vs reminder): 0.89 [0.85, 0.93]	—	—
PPM015599	PGS002813 (VATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Type 2 Diabetes	—	—	Odds ratio (OR, top 10% vs reminder): 1.18	—	—
PPM015600	PGS002813 (VATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Coronary artery disease	—	—	Odds ratio (OR, top 10% vs reminder): 1.12	—	—
PPM015601	PGS002813 (VATadjbmi3_weights_select)	PSS009994\| Multi-ancestry (including European)\| 447,486 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Hypertension	—	—	Odds ratio (OR, top 10% vs reminder): 1.09	—	—
PPM015586	PGS002813 (VATadjbmi3_weights_select)	PSS009993\| Multi-ancestry (including European)\| 7,795 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Visceral adipose tissue volumes adjusted for BMI and height	β: 0.221 (0.016)	—	Odds ratio (OR, top 5% vs reminder): 2.41 [1.7, 3.36]	Age at time of imaging, sex, and the first 10 PCs of genetic ancestry	—
PPM015592	PGS002813 (VATadjbmi3_weights_select)	PSS009992\| European Ancestry\| 7,888 individuals	PGP000391 \| Agrawal S et al. Nat Commun (2022)	Reported Trait: Triglycerides	—	—	Beta (bottom 10 % vs reminder): -0.12 [-0.19, -0.05]	Age at enrollment, sex, and the first 10 principal components of genetic ancestry	—
PPM015629	PGS002840 (ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.27 (0.0445)	—	R²: 0.099	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015632	PGS002841 (ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.13 (0.0461)	—	R²: 0.0802	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015630	PGS002842 (ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 1.96 (0.0462)	—	R²: 0.0699	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015628	PGS002843 (ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 1.9 (0.0452)	—	R²: 0.0692	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015631	PGS002844 (ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.37 (0.045)	—	R²: 0.103	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015634	PGS002845 (ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.27 (0.0444)	—	R²: 0.0982	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015637	PGS002846 (ExPRSweb_BMI_21001-raw_PT_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.09 (0.0459)	—	R²: 0.0779	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015635	PGS002847 (ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.03 (0.0462)	—	R²: 0.0729	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015633	PGS002848 (ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 1.91 (0.045)	—	R²: 0.0702	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015636	PGS002849 (ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.38 (0.0452)	—	R²: 0.102	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015639	PGS002850 (ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.26 (0.0445)	—	R²: 0.0983	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015642	PGS002851 (ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.14 (0.0462)	—	R²: 0.0802	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015640	PGS002852 (ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 1.98 (0.0461)	—	R²: 0.0716	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015638	PGS002853 (ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 1.89 (0.0453)	—	R²: 0.0679	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015641	PGS002854 (ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.35 (0.045)	—	R²: 0.101	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015644	PGS002855 (ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 0.323 (0.00628)	—	R²: 0.0973	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015647	PGS002856 (ExPRSweb_BMI_23104-raw_PT_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 0.299 (0.00651)	—	R²: 0.0772	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015645	PGS002857 (ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 0.279 (0.00652)	—	R²: 0.0688	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015643	PGS002858 (ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 0.273 (0.00643)	—	R²: 0.0687	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015646	PGS002859 (ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)	PSS009997\| European Ancestry\| 23,382 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: BMI	β: 2.38 (0.0452)	—	R²: 0.101	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015843	PGS002964 (ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.64 (0.0391)	—	R²: 0.134	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015846	PGS002965 (ExPRSweb_Height_50-irnt_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.52 (0.0396)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015844	PGS002966 (ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.51 (0.0398)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015842	PGS002967 (ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.4 (0.0426)	—	R²: 0.0613	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015845	PGS002968 (ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.69 (0.0387)	—	R²: 0.138	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015848	PGS002969 (ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.65 (0.0391)	—	R²: 0.135	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015851	PGS002970 (ExPRSweb_Height_50-raw_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.53 (0.0396)	—	R²: 0.126	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015849	PGS002971 (ExPRSweb_Height_50-raw_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.51 (0.0396)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015847	PGS002972 (ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.41 (0.0425)	—	R²: 0.0619	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015850	PGS002973 (ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.7 (0.0386)	—	R²: 0.139	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015854	PGS002974 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0721 (0.0462)	—	R²: 6e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015860	PGS002975 (ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.162 (0.0533)	—	R²: 0.00014	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015856	PGS002976 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.176 (0.0535)	—	R²: 0.00012	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015852	PGS002977 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0806 (0.0446)	—	R²: 3e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015858	PGS002978 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.105 (0.0468)	—	R²: 3e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015864	PGS002979 (ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.79 (0.0488)	—	R²: 0.0563	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015870	PGS002980 (ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.21 (0.0455)	—	R²: 0.0834	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015866	PGS002981 (ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.12 (0.0449)	—	R²: 0.0819	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015862	PGS002982 (ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.992 (0.0493)	—	R²: 0.012	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015868	PGS002983 (ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.32 (0.0521)	—	R²: 0.0599	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015855	PGS002984 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.78 (0.0126)	—	R²: 0.0888	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015861	PGS002985 (ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0594 (0.014)	—	R²: 8e-05	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015857	PGS002986 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.06 (0.014)	—	R²: 8e-05	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015853	PGS002987 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.525 (0.014)	—	R²: 0.00307	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015859	PGS002988 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.03 (0.0123)	—	R²: 0.106	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015865	PGS002989 (ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.78 (0.0126)	—	R²: 0.0888	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015871	PGS002990 (ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.92 (0.0124)	—	R²: 0.0975	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015867	PGS002991 (ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.91 (0.0124)	—	R²: 0.0974	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015863	PGS002992 (ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.525 (0.014)	—	R²: 0.00307	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015869	PGS002993 (ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.03 (0.0123)	—	R²: 0.106	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016049	PGS003124 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120)	PSS010017\| European Ancestry\| 21,346 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.096 [0.989, 1.215] β: 0.0919 (0.0523)	AUROC: 0.525 [0.493, 0.556]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016055	PGS003125 (ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120)	PSS010017\| European Ancestry\| 21,346 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.107 [1.003, 1.223] β: 0.102 (0.0506)	AUROC: 0.532 [0.503, 0.561]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016051	PGS003126 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120)	PSS010017\| European Ancestry\| 21,346 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.074 [0.973, 1.187] β: 0.0718 (0.0508)	AUROC: 0.516 [0.49, 0.541]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016047	PGS003127 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120)	PSS010017\| European Ancestry\| 21,346 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 0.96 [0.854, 1.08] β: -0.0405 (0.0598)	AUROC: 0.462 [0.453, 0.471]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016053	PGS003128 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120)	PSS010017\| European Ancestry\| 21,346 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.058 [0.944, 1.186] β: 0.0566 (0.0582)	AUROC: 0.514 [0.49, 0.542]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016050	PGS003129 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120)	PSS010033\| European Ancestry\| 199,694 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.13 [1.077, 1.185] β: 0.122 (0.0244)	AUROC: 0.53 [0.517, 0.543]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016056	PGS003130 (ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120)	PSS010033\| European Ancestry\| 199,694 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.106 [1.055, 1.161] β: 0.101 (0.0244)	AUROC: 0.527 [0.513, 0.542]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016052	PGS003131 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120)	PSS010033\| European Ancestry\| 199,694 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.115 [1.06, 1.172] β: 0.109 (0.0257)	AUROC: 0.521 [0.508, 0.535]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016048	PGS003132 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120)	PSS010033\| European Ancestry\| 199,694 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 0.96 [0.916, 1.005] β: -0.0412 (0.0238)	AUROC: 0.49 [0.476, 0.505]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016054	PGS003133 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120)	PSS010033\| European Ancestry\| 199,694 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Thinness	OR: 1.166 [1.11, 1.224] β: 0.153 (0.025)	AUROC: 0.537 [0.523, 0.55]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM017295	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea	β: -0.025 (0.025)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017272	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index	β: -0.002 (0.011)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017340	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in obsese	β: 0.002 (0.018)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017341	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in non-obsese	β: -0.013 (0.013)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017360	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in obsese	β: -0.016 (0.036)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017361	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in non-obsese	β: -0.051 (0.036)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017392	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index x obesity interaction	β: 0.005 (1.005)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017402	PGS003462 (LDPred2_BMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea x obesity interaction	β: 1.011 (0.051)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017316	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea	β: 0.009 (0.025)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017356	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in obsese	β: 0.025 (0.017)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017357	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in non-obsese	β: 0.015 (0.013)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017377	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in non-obsese	β: -0.002 (0.036)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017293	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index	β: 0.019 (0.01)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017376	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in obsese	β: 0.012 (0.035)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017400	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index x obesity interaction	β: -0.002 (0.998)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017410	PGS003484 (LDPred2_WHR)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea x obesity interaction	β: 1.015 (0.05)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017294	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index	β: 0.025 (0.01)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017358	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in obsese	β: 0.028 (0.017)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017359	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index in non-obsese	β: 0.029 (0.013)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017378	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in obsese	β: 0.034 (0.035)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017379	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea in non-obsese	β: 0.042 (0.035)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017317	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea	β: 0.038 (0.025)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017401	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index x obesity interaction	β: -0.016 (0.984)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017411	PGS003485 (LDPred2_WHRadjBMI)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea x obesity interaction	β: 0.993 (0.05)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017418	PGS003490 (cont-decay-ankle_spacing)	PSS010859\| European Ancestry\| 11,364 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.17	sex, age, deprivation index, PC1-16	—
PPM017502	PGS003490 (cont-decay-ankle_spacing)	PSS010775\| European Ancestry\| 2,148 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017586	PGS003490 (cont-decay-ankle_spacing)	PSS010607\| European Ancestry\| 3,392 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017670	PGS003490 (cont-decay-ankle_spacing)	PSS010523\| Greater Middle Eastern Ancestry\| 488 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017754	PGS003490 (cont-decay-ankle_spacing)	PSS010187\| European Ancestry\| 1,381 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017838	PGS003490 (cont-decay-ankle_spacing)	PSS010439\| South Asian Ancestry\| 1,978 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017922	PGS003490 (cont-decay-ankle_spacing)	PSS010355\| East Asian Ancestry\| 810 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM018006	PGS003490 (cont-decay-ankle_spacing)	PSS010271\| African Ancestry\| 797 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018090	PGS003490 (cont-decay-ankle_spacing)	PSS010691\| African Ancestry\| 1,412 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Ankle spacing width	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017422	PGS003494 (cont-decay-birth_weight)	PSS010903\| European Ancestry\| 11,297 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM017506	PGS003494 (cont-decay-birth_weight)	PSS010819\| European Ancestry\| 2,136 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017590	PGS003494 (cont-decay-birth_weight)	PSS010651\| European Ancestry\| 3,340 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017674	PGS003494 (cont-decay-birth_weight)	PSS010567\| Greater Middle Eastern Ancestry\| 303 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM017842	PGS003494 (cont-decay-birth_weight)	PSS010483\| South Asian Ancestry\| 1,501 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM017926	PGS003494 (cont-decay-birth_weight)	PSS010399\| East Asian Ancestry\| 713 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM018010	PGS003494 (cont-decay-birth_weight)	PSS010315\| African Ancestry\| 838 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM017758	PGS003494 (cont-decay-birth_weight)	PSS010231\| European Ancestry\| 1,260 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM018094	PGS003494 (cont-decay-birth_weight)	PSS010735\| African Ancestry\| 785 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Birth weight	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM017437	PGS003509 (cont-decay-fat_perc)	PSS010871\| European Ancestry\| 19,650 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017521	PGS003509 (cont-decay-fat_perc)	PSS010787\| European Ancestry\| 4,063 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017605	PGS003509 (cont-decay-fat_perc)	PSS010619\| European Ancestry\| 6,371 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.1	sex, age, deprivation index, PC1-16	—
PPM017689	PGS003509 (cont-decay-fat_perc)	PSS010535\| Greater Middle Eastern Ancestry\| 1,123 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.08	sex, age, deprivation index, PC1-16	—
PPM017773	PGS003509 (cont-decay-fat_perc)	PSS010199\| European Ancestry\| 2,315 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017857	PGS003509 (cont-decay-fat_perc)	PSS010451\| South Asian Ancestry\| 6,129 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM018025	PGS003509 (cont-decay-fat_perc)	PSS010283\| African Ancestry\| 2,406 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM018109	PGS003509 (cont-decay-fat_perc)	PSS010703\| African Ancestry\| 3,771 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017941	PGS003509 (cont-decay-fat_perc)	PSS010367\| East Asian Ancestry\| 1,767 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body fat percentage	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM017441	PGS003513 (cont-decay-hand_grip_strength)	PSS010875\| European Ancestry\| 19,862 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM017525	PGS003513 (cont-decay-hand_grip_strength)	PSS010791\| European Ancestry\| 4,094 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM017609	PGS003513 (cont-decay-hand_grip_strength)	PSS010623\| European Ancestry\| 6,434 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM017693	PGS003513 (cont-decay-hand_grip_strength)	PSS010539\| Greater Middle Eastern Ancestry\| 1,139 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM017777	PGS003513 (cont-decay-hand_grip_strength)	PSS010203\| European Ancestry\| 2,336 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM017861	PGS003513 (cont-decay-hand_grip_strength)	PSS010455\| South Asian Ancestry\| 6,171 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM017945	PGS003513 (cont-decay-hand_grip_strength)	PSS010371\| East Asian Ancestry\| 1,787 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM018029	PGS003513 (cont-decay-hand_grip_strength)	PSS010287\| African Ancestry\| 2,435 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM018113	PGS003513 (cont-decay-hand_grip_strength)	PSS010707\| African Ancestry\| 3,819 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hand grip strength (mean of both)	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM017442	PGS003514 (cont-decay-height)	PSS010876\| European Ancestry\| 19,949 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.38	sex, age, deprivation index, PC1-16	—
PPM017526	PGS003514 (cont-decay-height)	PSS010792\| European Ancestry\| 4,115 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.34	sex, age, deprivation index, PC1-16	—
PPM017610	PGS003514 (cont-decay-height)	PSS010624\| European Ancestry\| 6,470 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.33	sex, age, deprivation index, PC1-16	—
PPM017694	PGS003514 (cont-decay-height)	PSS010540\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.25	sex, age, deprivation index, PC1-16	—
PPM017778	PGS003514 (cont-decay-height)	PSS010204\| European Ancestry\| 2,346 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.33	sex, age, deprivation index, PC1-16	—
PPM017862	PGS003514 (cont-decay-height)	PSS010456\| South Asian Ancestry\| 6,100 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.23	sex, age, deprivation index, PC1-16	—
PPM017946	PGS003514 (cont-decay-height)	PSS010372\| East Asian Ancestry\| 1,789 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.18	sex, age, deprivation index, PC1-16	—
PPM018030	PGS003514 (cont-decay-height)	PSS010288\| African Ancestry\| 2,437 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.1	sex, age, deprivation index, PC1-16	—
PPM018114	PGS003514 (cont-decay-height)	PSS010708\| African Ancestry\| 3,834 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM017453	PGS003525 (cont-decay-log_BMI)	PSS010888\| European Ancestry\| 19,935 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017537	PGS003525 (cont-decay-log_BMI)	PSS010804\| European Ancestry\| 4,114 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017621	PGS003525 (cont-decay-log_BMI)	PSS010636\| European Ancestry\| 6,459 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017705	PGS003525 (cont-decay-log_BMI)	PSS010552\| Greater Middle Eastern Ancestry\| 1,149 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.08	sex, age, deprivation index, PC1-16	—
PPM017789	PGS003525 (cont-decay-log_BMI)	PSS010216\| European Ancestry\| 2,344 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017873	PGS003525 (cont-decay-log_BMI)	PSS010468\| South Asian Ancestry\| 6,093 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017957	PGS003525 (cont-decay-log_BMI)	PSS010384\| East Asian Ancestry\| 1,787 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018041	PGS003525 (cont-decay-log_BMI)	PSS010300\| African Ancestry\| 2,431 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM018125	PGS003525 (cont-decay-log_BMI)	PSS010720\| African Ancestry\| 3,830 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Body mass index (BMI)	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017459	PGS003531 (cont-decay-log_fat_free_mass)	PSS010895\| European Ancestry\| 19,661 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.2	sex, age, deprivation index, PC1-16	—
PPM017543	PGS003531 (cont-decay-log_fat_free_mass)	PSS010811\| European Ancestry\| 4,062 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.2	sex, age, deprivation index, PC1-16	—
PPM017627	PGS003531 (cont-decay-log_fat_free_mass)	PSS010643\| European Ancestry\| 6,376 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.18	sex, age, deprivation index, PC1-16	—
PPM017711	PGS003531 (cont-decay-log_fat_free_mass)	PSS010559\| Greater Middle Eastern Ancestry\| 1,124 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017795	PGS003531 (cont-decay-log_fat_free_mass)	PSS010223\| European Ancestry\| 2,318 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.19	sex, age, deprivation index, PC1-16	—
PPM017879	PGS003531 (cont-decay-log_fat_free_mass)	PSS010475\| South Asian Ancestry\| 6,134 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017963	PGS003531 (cont-decay-log_fat_free_mass)	PSS010391\| East Asian Ancestry\| 1,770 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM018047	PGS003531 (cont-decay-log_fat_free_mass)	PSS010307\| African Ancestry\| 2,408 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM018131	PGS003531 (cont-decay-log_fat_free_mass)	PSS010727\| African Ancestry\| 3,771 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat-free mass	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM017460	PGS003532 (cont-decay-log_fat_mass)	PSS010896\| European Ancestry\| 19,633 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017544	PGS003532 (cont-decay-log_fat_mass)	PSS010812\| European Ancestry\| 4,055 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017628	PGS003532 (cont-decay-log_fat_mass)	PSS010644\| European Ancestry\| 6,357 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017712	PGS003532 (cont-decay-log_fat_mass)	PSS010560\| Greater Middle Eastern Ancestry\| 1,121 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.08	sex, age, deprivation index, PC1-16	—
PPM017796	PGS003532 (cont-decay-log_fat_mass)	PSS010224\| European Ancestry\| 2,313 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017880	PGS003532 (cont-decay-log_fat_mass)	PSS010476\| South Asian Ancestry\| 6,122 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017964	PGS003532 (cont-decay-log_fat_mass)	PSS010392\| East Asian Ancestry\| 1,754 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM018048	PGS003532 (cont-decay-log_fat_mass)	PSS010308\| African Ancestry\| 2,406 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM018132	PGS003532 (cont-decay-log_fat_mass)	PSS010728\| African Ancestry\| 3,766 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body fat mass	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017466	PGS003538 (cont-decay-log_hip_circ)	PSS010902\| European Ancestry\| 19,955 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017550	PGS003538 (cont-decay-log_hip_circ)	PSS010818\| European Ancestry\| 4,114 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017634	PGS003538 (cont-decay-log_hip_circ)	PSS010650\| European Ancestry\| 6,474 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.1	sex, age, deprivation index, PC1-16	—
PPM017718	PGS003538 (cont-decay-log_hip_circ)	PSS010566\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017802	PGS003538 (cont-decay-log_hip_circ)	PSS010230\| European Ancestry\| 2,344 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017886	PGS003538 (cont-decay-log_hip_circ)	PSS010482\| South Asian Ancestry\| 6,215 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017970	PGS003538 (cont-decay-log_hip_circ)	PSS010398\| East Asian Ancestry\| 1,790 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM018054	PGS003538 (cont-decay-log_hip_circ)	PSS010314\| African Ancestry\| 2,443 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM018138	PGS003538 (cont-decay-log_hip_circ)	PSS010734\| African Ancestry\| 3,838 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Hip circumference	—	—	partial-R2: 0.02	sex, age, deprivation index, PC1-16	—
PPM017552	PGS003540 (cont-decay-log_impedance)	PSS010821\| European Ancestry\| 4,059 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017468	PGS003540 (cont-decay-log_impedance)	PSS010905\| European Ancestry\| 19,653 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017636	PGS003540 (cont-decay-log_impedance)	PSS010653\| European Ancestry\| 6,373 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017720	PGS003540 (cont-decay-log_impedance)	PSS010569\| Greater Middle Eastern Ancestry\| 1,123 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017804	PGS003540 (cont-decay-log_impedance)	PSS010233\| European Ancestry\| 2,316 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.16	sex, age, deprivation index, PC1-16	—
PPM017888	PGS003540 (cont-decay-log_impedance)	PSS010485\| South Asian Ancestry\| 6,127 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.13	sex, age, deprivation index, PC1-16	—
PPM017972	PGS003540 (cont-decay-log_impedance)	PSS010401\| East Asian Ancestry\| 1,770 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.08	sex, age, deprivation index, PC1-16	—
PPM018056	PGS003540 (cont-decay-log_impedance)	PSS010317\| African Ancestry\| 2,405 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018140	PGS003540 (cont-decay-log_impedance)	PSS010737\| African Ancestry\| 3,770 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Impedance of whole body	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM017903	PGS003555 (cont-decay-log_waist_circ)	PSS010501\| South Asian Ancestry\| 6,215 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM017483	PGS003555 (cont-decay-log_waist_circ)	PSS010921\| European Ancestry\| 19,954 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.1	sex, age, deprivation index, PC1-16	—
PPM017567	PGS003555 (cont-decay-log_waist_circ)	PSS010837\| European Ancestry\| 4,114 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017651	PGS003555 (cont-decay-log_waist_circ)	PSS010669\| European Ancestry\| 6,474 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017735	PGS003555 (cont-decay-log_waist_circ)	PSS010585\| Greater Middle Eastern Ancestry\| 1,152 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM017819	PGS003555 (cont-decay-log_waist_circ)	PSS010249\| European Ancestry\| 2,344 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017987	PGS003555 (cont-decay-log_waist_circ)	PSS010417\| East Asian Ancestry\| 1,790 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM018071	PGS003555 (cont-decay-log_waist_circ)	PSS010333\| African Ancestry\| 2,444 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM018155	PGS003555 (cont-decay-log_waist_circ)	PSS010753\| African Ancestry\| 3,839 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Waist circumference	—	—	partial-R2: 0.01	sex, age, deprivation index, PC1-16	—
PPM017484	PGS003556 (cont-decay-log_water_mass)	PSS010922\| European Ancestry\| 19,662 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.2	sex, age, deprivation index, PC1-16	—
PPM017568	PGS003556 (cont-decay-log_water_mass)	PSS010838\| European Ancestry\| 4,063 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.2	sex, age, deprivation index, PC1-16	—
PPM017652	PGS003556 (cont-decay-log_water_mass)	PSS010670\| European Ancestry\| 6,377 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.18	sex, age, deprivation index, PC1-16	—
PPM017736	PGS003556 (cont-decay-log_water_mass)	PSS010586\| Greater Middle Eastern Ancestry\| 1,124 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017820	PGS003556 (cont-decay-log_water_mass)	PSS010250\| European Ancestry\| 2,318 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.19	sex, age, deprivation index, PC1-16	—
PPM018072	PGS003556 (cont-decay-log_water_mass)	PSS010334\| African Ancestry\| 2,408 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM018156	PGS003556 (cont-decay-log_water_mass)	PSS010754\| African Ancestry\| 3,773 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM017904	PGS003556 (cont-decay-log_water_mass)	PSS010502\| South Asian Ancestry\| 6,134 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017988	PGS003556 (cont-decay-log_water_mass)	PSS010418\| East Asian Ancestry\| 1,770 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Whole body water mass	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017497	PGS003569 (cont-decay-sitting_height)	PSS010937\| European Ancestry\| 19,923 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.25	sex, age, deprivation index, PC1-16	—
PPM017581	PGS003569 (cont-decay-sitting_height)	PSS010853\| European Ancestry\| 4,111 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.23	sex, age, deprivation index, PC1-16	—
PPM017665	PGS003569 (cont-decay-sitting_height)	PSS010685\| European Ancestry\| 6,461 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.22	sex, age, deprivation index, PC1-16	—
PPM017833	PGS003569 (cont-decay-sitting_height)	PSS010265\| European Ancestry\| 2,335 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.21	sex, age, deprivation index, PC1-16	—
PPM018085	PGS003569 (cont-decay-sitting_height)	PSS010349\| African Ancestry\| 2,430 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018169	PGS003569 (cont-decay-sitting_height)	PSS010769\| African Ancestry\| 3,828 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.03	sex, age, deprivation index, PC1-16	—
PPM017749	PGS003569 (cont-decay-sitting_height)	PSS010601\| Greater Middle Eastern Ancestry\| 1,148 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM017917	PGS003569 (cont-decay-sitting_height)	PSS010517\| South Asian Ancestry\| 6,072 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.15	sex, age, deprivation index, PC1-16	—
PPM018001	PGS003569 (cont-decay-sitting_height)	PSS010433\| East Asian Ancestry\| 1,788 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Sitting height	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM018642	PGS003835 (height_EUR_CT)	PSS011042\| European Ancestry\| 9,969 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.09039	—	—
PPM018643	PGS003836 (height_EUR_LDpred2)	PSS011042\| European Ancestry\| 9,969 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.16006	—	—
PPM018644	PGS003837 (height_AFR_CT)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.00285	—	—
PPM018645	PGS003838 (height_AFR_LDpred2)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.00695	—	—
PPM018646	PGS003839 (height_AFR_weighted_LDpred2)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.03319	—	—
PPM018647	PGS003840 (height_AFR_PRSCSx)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.04139	—	—
PPM018648	PGS003841 (height_AFR_CTSLEB)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.03775	—	—
PPM018649	PGS003842 (bmi_EUR_CT)	PSS011036\| European Ancestry\| 9,958 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.0192	—	—
PPM018650	PGS003843 (bmi_EUR_LDpred2)	PSS011036\| European Ancestry\| 9,958 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.04099	—	—
PPM018651	PGS003844 (bmi_AFR_CT)	PSS011055\| African Ancestry\| 4,519 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.00111	—	—
PPM018652	PGS003845 (bmi_AFR_LDpred2)	PSS011055\| African Ancestry\| 4,519 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.00051	—	—
PPM018653	PGS003846 (bmi_AFR_weighted_LDpred2)	PSS011055\| African Ancestry\| 4,519 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.00711	—	—
PPM018654	PGS003847 (bmi_AFR_PRSCSx)	PSS011055\| African Ancestry\| 4,519 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.00849	—	—
PPM018655	PGS003848 (bmi_AFR_CTSLEB)	PSS011055\| African Ancestry\| 4,519 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Body mass index	—	—	R²: 0.01027	—	—
PPM018776	PGS003884 (BMI_PRScsx_ARB_AMRweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Body mass index	β: 1.18 (0.11)	—	R²: 0.0919	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463zscoreAMR) + (0.2238593zscoreARB) + (0.4195118zscoreEAS) + (0.6683519zscoreEUR).
PPM018777	PGS003885 (BMI_PRScsx_ARB_ARBweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Body mass index	β: 1.18 (0.11)	—	R²: 0.0919	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463zscoreAMR) + (0.2238593zscoreARB) + (0.4195118zscoreEAS) + (0.6683519zscoreEUR).
PPM018778	PGS003886 (BMI_PRScsx_ARB_EASweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Body mass index	β: 1.18 (0.11)	—	R²: 0.0919	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463zscoreAMR) + (0.2238593zscoreARB) + (0.4195118zscoreEAS) + (0.6683519zscoreEUR).
PPM018779	PGS003887 (BMI_PRScsx_ARB_EURweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Body mass index	β: 1.18 (0.11)	—	R²: 0.0919	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463zscoreAMR) + (0.2238593zscoreARB) + (0.4195118zscoreEAS) + (0.6683519zscoreEUR).
PPM018780	PGS003888 (Height_PRScsx_ARB_AMRweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018781	PGS003889 (Height_PRScsx_ARB_ARBweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018782	PGS003890 (Height_PRScsx_ARB_EASweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018783	PGS003891 (Height_PRScsx_ARB_EURweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018786	PGS003893 (INI48)	PSS011117\| South Asian Ancestry\| 1,473 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Waist circumference	—	—	R²: 0.21134 [0.17457, 0.24811] PGS R2 (no covariates): 0.06699 [0.0425, 0.09148] Incremental R2 (full-covars): 0.06504	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018787	PGS003893 (INI48)	PSS011160\| African Ancestry\| 1,195 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Waist circumference	—	—	R²: 0.03112 [0.01194, 0.0503] PGS R2 (no covariates): 0.01643 [0.00228, 0.03058] Incremental R2 (full-covars): 0.01312	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018788	PGS003893 (INI48)	PSS011175\| Multi-ancestry (excluding European)\| 7,973 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Waist circumference	—	—	R²: 0.28891 [0.27218, 0.30565] PGS R2 (no covariates): 0.05072 [0.04135, 0.06008] Incremental R2 (full-covars): 0.04529	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018784	PGS003893 (INI48)	PSS011149\| European Ancestry\| 67,635 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Waist circumference	—	—	R²: 0.29939 [0.29361, 0.30516] PGS R2 (no covariates): 0.07085 [0.06712, 0.07457] Incremental R2 (full-covars): 0.0682	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018785	PGS003893 (INI48)	PSS011098\| European Ancestry\| 2,886 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Waist circumference	—	—	R²: 0.29851 [0.27062, 0.3264] PGS R2 (no covariates): 0.07361 [0.05532, 0.0919] Incremental R2 (full-covars): 0.06239	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018789	PGS003894 (INI49)	PSS011148\| European Ancestry\| 67,624 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Hip circumference	—	—	R²: 0.10669 [0.1023, 0.11109] PGS R2 (no covariates): 0.10277 [0.09844, 0.1071] Incremental R2 (full-covars): 0.10175	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018790	PGS003894 (INI49)	PSS011103\| European Ancestry\| 2,885 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Hip circumference	—	—	R²: 0.10294 [0.08199, 0.12388] PGS R2 (no covariates): 0.1049 [0.0838, 0.126] Incremental R2 (full-covars): 0.102	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018791	PGS003894 (INI49)	PSS011117\| South Asian Ancestry\| 1,473 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Hip circumference	—	—	R²: 0.0983 [0.06963, 0.12697] Incremental R2 (full-covars): 0.07962 PGS R2 (no covariates): 0.08534 [0.05824, 0.11244]	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018792	PGS003894 (INI49)	PSS011160\| African Ancestry\| 1,195 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Hip circumference	—	—	R²: 0.01885 [0.00373, 0.03396] PGS R2 (no covariates): 0.01479 [0.00134, 0.02824] Incremental R2 (full-covars): 0.01389	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018793	PGS003894 (INI49)	PSS011174\| Multi-ancestry (excluding European)\| 7,971 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Hip circumference	—	—	R²: 0.12987 [0.11614, 0.1436] PGS R2 (no covariates): 0.09021 [0.07824, 0.10217] Incremental R2 (full-covars): 0.07349	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018794	PGS003895 (INI50)	PSS011146\| European Ancestry\| 67,603 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.71901 [0.71542, 0.7226] PGS R2 (no covariates): 0.1804 [0.17516, 0.18565] Incremental R2 (full-covars): 0.17961	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018795	PGS003895 (INI50)	PSS011103\| European Ancestry\| 2,885 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.72848 [0.71161, 0.74534] PGS R2 (no covariates): 0.21016 [0.18381, 0.23651] Incremental R2 (full-covars): 0.18808	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018796	PGS003895 (INI50)	PSS011114\| South Asian Ancestry\| 1,448 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.66918 [0.64174, 0.69663] PGS R2 (no covariates): 0.08326 [0.05643, 0.11009] Incremental R2 (full-covars): 0.08875	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018797	PGS003895 (INI50)	PSS011159\| African Ancestry\| 1,191 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.50307 [0.46351, 0.54262] PGS R2 (no covariates): 0.02787 [0.00966, 0.04609] Incremental R2 (full-covars): 0.01372	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018798	PGS003895 (INI50)	PSS011173\| Multi-ancestry (excluding European)\| 7,968 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.69915 [0.68814, 0.71017] PGS R2 (no covariates): 0.151 [0.13655, 0.16545] Incremental R2 (full-covars): 0.14737	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018799	PGS003896 (INI20015)	PSS011147\| European Ancestry\| 67,606 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Sitting height	—	—	R²: 0.56702 [0.56211, 0.57193] PGS R2 (no covariates): 0.13337 [0.12861, 0.13814] Incremental R2 (full-covars): 0.13166	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018800	PGS003896 (INI20015)	PSS011102\| European Ancestry\| 2,883 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Sitting height	—	—	R²: 0.56319 [0.53933, 0.58705] PGS R2 (no covariates): 0.14822 [0.12435, 0.17208] Incremental R2 (full-covars): 0.12786	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018801	PGS003896 (INI20015)	PSS011114\| South Asian Ancestry\| 1,448 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Sitting height	—	—	R²: 0.47658 [0.43993, 0.51322] PGS R2 (no covariates): 0.06813 [0.04346, 0.09279] Incremental R2 (full-covars): 0.05017	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018802	PGS003896 (INI20015)	PSS011159\| African Ancestry\| 1,191 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Sitting height	—	—	R²: 0.36181 [0.31873, 0.40489] PGS R2 (no covariates): 0.01877 [0.00368, 0.03386] Incremental R2 (full-covars): 0.00631	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018803	PGS003896 (INI20015)	PSS011172\| Multi-ancestry (excluding European)\| 7,967 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Sitting height	—	—	R²: 0.56286 [0.5485, 0.57722] PGS R2 (no covariates): 0.1462 [0.1319, 0.16049] Incremental R2 (full-covars): 0.10616	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018804	PGS003897 (INI21001)	PSS011131\| European Ancestry\| 67,538 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body mass index (BMI)	—	—	R²: 0.13408 [0.1293, 0.13885] PGS R2 (no covariates): 0.11906 [0.11448, 0.12364] Incremental R2 (full-covars): 0.11579	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018805	PGS003897 (INI21001)	PSS011104\| European Ancestry\| 2,877 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body mass index (BMI)	—	—	R²: 0.1241 [0.10164, 0.14656] PGS R2 (no covariates): 0.11155 [0.08996, 0.13315] Incremental R2 (full-covars): 0.10512	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018806	PGS003897 (INI21001)	PSS011114\| South Asian Ancestry\| 1,448 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body mass index (BMI)	—	—	R²: 0.0829 [0.05612, 0.10967] PGS R2 (no covariates): 0.08942 [0.0618, 0.11703] Incremental R2 (full-covars): 0.08059	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018807	PGS003897 (INI21001)	PSS011159\| African Ancestry\| 1,191 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body mass index (BMI)	—	—	R²: 0.00924 [-0.00145, 0.01994] PGS R2 (no covariates): 0.01761 [0.00298, 0.03223] Incremental R2 (full-covars): 0.00743	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018808	PGS003897 (INI21001)	PSS011161\| Multi-ancestry (excluding European)\| 7,959 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body mass index (BMI)	—	—	R²: 0.13658 [0.12261, 0.15055] PGS R2 (no covariates): 0.10283 [0.09023, 0.11543] Incremental R2 (full-covars): 0.08683	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018809	PGS003898 (INI21002)	PSS011142\| European Ancestry\| 67,561 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Weight	—	—	R²: 0.32755 [0.32176, 0.33335] PGS R2 (no covariates): 0.11144 [0.10697, 0.1159] Incremental R2 (full-covars): 0.10907	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018810	PGS003898 (INI21002)	PSS011101\| European Ancestry\| 2,878 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Weight	—	—	R²: 0.34564 [0.31765, 0.37364] PGS R2 (no covariates): 0.12035 [0.09814, 0.14255] Incremental R2 (full-covars): 0.11103	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018812	PGS003898 (INI21002)	PSS011160\| African Ancestry\| 1,195 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Weight	—	—	R²: 0.04318 [0.02087, 0.0655] PGS R2 (no covariates): 0.01871 [0.00365, 0.03378] Incremental R2 (full-covars): 0.01737	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018813	PGS003898 (INI21002)	PSS011171\| Multi-ancestry (excluding European)\| 7,964 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Weight	—	—	R²: 0.34315 [0.3263, 0.36] PGS R2 (no covariates): 0.1022 [0.08963, 0.11476] Incremental R2 (full-covars): 0.0801	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018811	PGS003898 (INI21002)	PSS011117\| South Asian Ancestry\| 1,473 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Weight	—	—	R²: 0.25281 [0.21471, 0.29091] PGS R2 (no covariates): 0.096 [0.0676, 0.12441] Incremental R2 (full-covars): 0.09952	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018814	PGS003899 (INI23099)	PSS011129\| European Ancestry\| 66,584 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body fat percentage	—	—	R²: 0.51746 [0.51223, 0.52269] PGS R2 (no covariates): 0.05601 [0.05265, 0.05938] Incremental R2 (full-covars): 0.05783	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018815	PGS003899 (INI23099)	PSS011106\| European Ancestry\| 2,836 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body fat percentage	—	—	R²: 0.49108 [0.46513, 0.51704] PGS R2 (no covariates): 0.06034 [0.04354, 0.07714] Incremental R2 (full-covars): 0.06709	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018816	PGS003899 (INI23099)	PSS011116\| South Asian Ancestry\| 1,455 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body fat percentage	—	—	R²: 0.60374 [0.57251, 0.63497] PGS R2 (no covariates): 0.04598 [0.02523, 0.06673] Incremental R2 (full-covars): 0.03132	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018817	PGS003899 (INI23099)	PSS011157\| African Ancestry\| 1,168 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body fat percentage	—	—	R²: 0.5945 [0.55941, 0.62959] PGS R2 (no covariates): 0.00973 [-0.00123, 0.02069] Incremental R2 (full-covars): -0.01506	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018818	PGS003899 (INI23099)	PSS011165\| Multi-ancestry (excluding European)\| 7,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Body fat percentage	—	—	R²: 0.47607 [0.46025, 0.4919] PGS R2 (no covariates): 0.05911 [0.0491, 0.06913] Incremental R2 (full-covars): 0.04525	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018819	PGS003900 (INI23100)	PSS011125\| European Ancestry\| 66,530 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat mass	—	—	R²: 0.17244 [0.16727, 0.17762] PGS R2 (no covariates): 0.1047 [0.10033, 0.10906] Incremental R2 (full-covars): 0.10407	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018820	PGS003900 (INI23100)	PSS011107\| European Ancestry\| 2,833 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat mass	—	—	R²: 0.15896 [0.13456, 0.18336] PGS R2 (no covariates): 0.11465 [0.09283, 0.13646] Incremental R2 (full-covars): 0.1146	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018821	PGS003900 (INI23100)	PSS011115\| South Asian Ancestry\| 1,452 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat mass	—	—	R²: 0.21253 [0.17571, 0.24935] PGS R2 (no covariates): 0.09752 [0.06894, 0.1261] Incremental R2 (full-covars): 0.07719	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018823	PGS003900 (INI23100)	PSS011164\| Multi-ancestry (excluding European)\| 7,824 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat mass	—	—	R²: 0.17428 [0.15919, 0.18938] PGS R2 (no covariates): 0.10059 [0.0881, 0.11308] Incremental R2 (full-covars): 0.08234	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018822	PGS003900 (INI23100)	PSS011156\| African Ancestry\| 1,166 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat mass	—	—	R²: 0.15685 [0.11937, 0.19432] PGS R2 (no covariates): 0.01295 [0.00035, 0.02556] Incremental R2 (full-covars): -0.04775	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018824	PGS003901 (INI23101)	PSS011150\| European Ancestry\| 66,614 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.7632 [0.76009, 0.76632] PGS R2 (no covariates): 0.0533 [0.05, 0.05659] Incremental R2 (full-covars): 0.05378	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018825	PGS003901 (INI23101)	PSS011108\| European Ancestry\| 2,835 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.76255 [0.74746, 0.77764] PGS R2 (no covariates): 0.06277 [0.04568, 0.07986] Incremental R2 (full-covars): 0.05616	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018826	PGS003901 (INI23101)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.69472 [0.66891, 0.72052] PGS R2 (no covariates): 0.02952 [0.01261, 0.04643] Incremental R2 (full-covars): 0.04458	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018827	PGS003901 (INI23101)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.5853 [0.54969, 0.6209] PGS R2 (no covariates): 0.00696 [-0.00234, 0.01625] Incremental R2 (full-covars): 0.00196	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018828	PGS003901 (INI23101)	PSS011176\| Multi-ancestry (excluding European)\| 7,842 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body fat-free mass	—	—	R²: 0.75091 [0.74146, 0.76036] PGS R2 (no covariates): 0.03965 [0.03128, 0.04803] Incremental R2 (full-covars): 0.0398	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018829	PGS003902 (INI23102)	PSS011120\| European Ancestry\| 66,617 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body water mass	—	—	R²: 0.76001 [0.75686, 0.76316] PGS R2 (no covariates): 0.0537 [0.0504, 0.057] Incremental R2 (full-covars): 0.0541	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018830	PGS003902 (INI23102)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body water mass	—	—	R²: 0.75815 [0.74282, 0.77347] PGS R2 (no covariates): 0.0659 [0.04845, 0.08335] Incremental R2 (full-covars): 0.05792	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018831	PGS003902 (INI23102)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body water mass	—	—	R²: 0.69263 [0.66668, 0.71857] PGS R2 (no covariates): 0.02973 [0.01276, 0.04669] Incremental R2 (full-covars): 0.04434	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018832	PGS003902 (INI23102)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body water mass	—	—	R²: 0.58375 [0.54806, 0.61944] PGS R2 (no covariates): 0.00794 [-0.00198, 0.01785] Incremental R2 (full-covars): 0.00256	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018833	PGS003902 (INI23102)	PSS011176\| Multi-ancestry (excluding European)\| 7,842 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Whole body water mass	—	—	R²: 0.74875 [0.73923, 0.75827] PGS R2 (no covariates): 0.03942 [0.03107, 0.04777] Incremental R2 (full-covars): 0.0395	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018839	PGS003904 (INI23106)	PSS011124\| European Ancestry\| 66,607 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of whole body	—	—	R²: 0.52234 [0.51714, 0.52754] PGS R2 (no covariates): 0.08468 [0.08067, 0.08869] Incremental R2 (full-covars): 0.08345	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018840	PGS003904 (INI23106)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of whole body	—	—	R²: 0.50682 [0.48127, 0.53237] PGS R2 (no covariates): 0.08188 [0.06276, 0.101] Incremental R2 (full-covars): 0.08098	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018842	PGS003904 (INI23106)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of whole body	—	—	R²: 0.27918 [0.23643, 0.32192] PGS R2 (no covariates): 0.02692 [0.009, 0.04483] Incremental R2 (full-covars): 0.02486	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018843	PGS003904 (INI23106)	PSS011162\| Multi-ancestry (excluding European)\| 7,839 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of whole body	—	—	R²: 0.49232 [0.47672, 0.50792] PGS R2 (no covariates): 0.05296 [0.04342, 0.06251] Incremental R2 (full-covars): 0.051	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018841	PGS003904 (INI23106)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of whole body	—	—	R²: 0.41749 [0.37932, 0.45566] PGS R2 (no covariates): 0.05569 [0.03309, 0.07829] Incremental R2 (full-covars): 0.05788	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018844	PGS003905 (INI23107)	PSS011151\| European Ancestry\| 66,613 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (right)	—	—	R²: 0.30322 [0.29744, 0.309] PGS R2 (no covariates): 0.11129 [0.10682, 0.11575] Incremental R2 (full-covars): 0.11033	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018845	PGS003905 (INI23107)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (right)	—	—	R²: 0.29712 [0.26924, 0.325] PGS R2 (no covariates): 0.10545 [0.08431, 0.12659] Incremental R2 (full-covars): 0.10793	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018846	PGS003905 (INI23107)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (right)	—	—	R²: 0.18556 [0.14998, 0.22114] PGS R2 (no covariates): 0.07372 [0.04821, 0.09923] Incremental R2 (full-covars): 0.07276	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018847	PGS003905 (INI23107)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (right)	—	—	R²: 0.07294 [0.04484, 0.10104] PGS R2 (no covariates): 0.01761 [0.00298, 0.03224] Incremental R2 (full-covars): 0.0172	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018848	PGS003905 (INI23107)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (right)	—	—	R²: 0.282 [0.2653, 0.29869] PGS R2 (no covariates): 0.07892 [0.06759, 0.09025] Incremental R2 (full-covars): 0.06951	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018849	PGS003906 (INI23108)	PSS011151\| European Ancestry\| 66,613 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (left)	—	—	R²: 0.29131 [0.28554, 0.29707] PGS R2 (no covariates): 0.11128 [0.10682, 0.11575] Incremental R2 (full-covars): 0.1103	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018850	PGS003906 (INI23108)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (left)	—	—	R²: 0.28648 [0.25868, 0.31427] PGS R2 (no covariates): 0.10226 [0.08137, 0.12316] Incremental R2 (full-covars): 0.10474	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018851	PGS003906 (INI23108)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (left)	—	—	R²: 0.19957 [0.1633, 0.23583] PGS R2 (no covariates): 0.08533 [0.05823, 0.11242] Incremental R2 (full-covars): 0.08283	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018852	PGS003906 (INI23108)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (left)	—	—	R²: 0.07203 [0.04408, 0.09998] PGS R2 (no covariates): 0.02151 [0.0054, 0.03762] Incremental R2 (full-covars): 0.0219	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018853	PGS003906 (INI23108)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of leg (left)	—	—	R²: 0.27848 [0.26181, 0.29515] PGS R2 (no covariates): 0.08259 [0.07104, 0.09413] Incremental R2 (full-covars): 0.07424	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018854	PGS003907 (INI23109)	PSS011122\| European Ancestry\| 66,610 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (right)	—	—	R²: 0.57729 [0.57246, 0.58213] PGS R2 (no covariates): 0.05608 [0.05271, 0.05945] Incremental R2 (full-covars): 0.05556	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018855	PGS003907 (INI23109)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (right)	—	—	R²: 0.58628 [0.56322, 0.60933] PGS R2 (no covariates): 0.05833 [0.04177, 0.07488] Incremental R2 (full-covars): 0.05518	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018856	PGS003907 (INI23109)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (right)	—	—	R²: 0.52227 [0.48726, 0.55729] PGS R2 (no covariates): 0.03782 [0.01884, 0.0568] Incremental R2 (full-covars): 0.04181	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018857	PGS003907 (INI23109)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (right)	—	—	R²: 0.36871 [0.32569, 0.41173] Incremental R2 (full-covars): 0.01718 PGS R2 (no covariates): 0.02183 [0.00561, 0.03804]	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018858	PGS003907 (INI23109)	PSS011162\| Multi-ancestry (excluding European)\| 7,839 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (right)	—	—	R²: 0.57591 [0.56182, 0.59] PGS R2 (no covariates): 0.04377 [0.03501, 0.05253] Incremental R2 (full-covars): 0.0406	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018859	PGS003908 (INI23110)	PSS011151\| European Ancestry\| 66,613 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (left)	—	—	R²: 0.5866 [0.58183, 0.59137] PGS R2 (no covariates): 0.0592 [0.05575, 0.06264] Incremental R2 (full-covars): 0.05807	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018860	PGS003908 (INI23110)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (left)	—	—	R²: 0.58205 [0.55884, 0.60526] PGS R2 (no covariates): 0.05843 [0.04186, 0.07499] Incremental R2 (full-covars): 0.05408	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018861	PGS003908 (INI23110)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (left)	—	—	R²: 0.52117 [0.48611, 0.55622] PGS R2 (no covariates): 0.04856 [0.0273, 0.06983] Incremental R2 (full-covars): 0.04761	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018862	PGS003908 (INI23110)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (left)	—	—	R²: 0.39016 [0.34741, 0.43291] PGS R2 (no covariates): 0.02085 [0.00498, 0.03672] Incremental R2 (full-covars): 0.0167	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018863	PGS003908 (INI23110)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Impedance of arm (left)	—	—	R²: 0.57525 [0.56114, 0.58935] PGS R2 (no covariates): 0.04258 [0.03393, 0.05123] Incremental R2 (full-covars): 0.04258	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018864	PGS003909 (INI23111)	PSS011151\| European Ancestry\| 66,613 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (right)	—	—	R²: 0.76654 [0.76347, 0.76962] PGS R2 (no covariates): 0.02481 [0.02249, 0.02712] Incremental R2 (full-covars): 0.02626	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018865	PGS003909 (INI23111)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (right)	—	—	R²: 0.75264 [0.73703, 0.76826] PGS R2 (no covariates): 0.02118 [0.01081, 0.03155] Incremental R2 (full-covars): 0.031	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018866	PGS003909 (INI23111)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (right)	—	—	R²: 0.79999 [0.78185, 0.81814] PGS R2 (no covariates): 0.01403 [0.00219, 0.02587] Incremental R2 (full-covars): 0.01075	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018867	PGS003909 (INI23111)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (right)	—	—	R²: 0.7946 [0.77405, 0.81515] PGS R2 (no covariates): 0.00591 [-0.00267, 0.01448] Incremental R2 (full-covars): -0.00577	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018868	PGS003909 (INI23111)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (right)	—	—	R²: 0.7457 [0.73608, 0.75532] PGS R2 (no covariates): 0.02078 [0.0146, 0.02696] Incremental R2 (full-covars): 0.018	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018869	PGS003910 (INI23112)	PSS011121\| European Ancestry\| 66,612 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (right)	—	—	R²: 0.3861 [0.38036, 0.39185] PGS R2 (no covariates): 0.06466 [0.06108, 0.06824] Incremental R2 (full-covars): 0.06497	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018870	PGS003910 (INI23112)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (right)	—	—	R²: 0.35972 [0.33178, 0.38767] PGS R2 (no covariates): 0.0599 [0.04316, 0.07665] Incremental R2 (full-covars): 0.07014	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018871	PGS003910 (INI23112)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (right)	—	—	R²: 0.46851 [0.43161, 0.5054] PGS R2 (no covariates): 0.05268 [0.03063, 0.07474] Incremental R2 (full-covars): 0.03815	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018872	PGS003910 (INI23112)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (right)	—	—	R²: 0.41827 [0.37605, 0.46049] PGS R2 (no covariates): 0.00758 [-0.00212, 0.01727] Incremental R2 (full-covars): -0.02564	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018873	PGS003910 (INI23112)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (right)	—	—	R²: 0.37114 [0.35436, 0.38791] PGS R2 (no covariates): 0.06443 [0.05403, 0.07483] Incremental R2 (full-covars): 0.04941	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018875	PGS003911 (INI23113)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (right)	—	—	R²: 0.70978 [0.69199, 0.72758] PGS R2 (no covariates): 0.05905 [0.04241, 0.07569] Incremental R2 (full-covars): 0.05628	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018876	PGS003911 (INI23113)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (right)	—	—	R²: 0.64574 [0.61687, 0.67461] PGS R2 (no covariates): 0.02445 [0.00898, 0.03992] Incremental R2 (full-covars): 0.03723	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018877	PGS003911 (INI23113)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (right)	—	—	R²: 0.51803 [0.4791, 0.55696] PGS R2 (no covariates): 0.00607 [-0.00262, 0.01476] Incremental R2 (full-covars): -0.00277	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018878	PGS003911 (INI23113)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (right)	—	—	R²: 0.70396 [0.69308, 0.71484] PGS R2 (no covariates): 0.03588 [0.02789, 0.04388] Incremental R2 (full-covars): 0.03684	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018874	PGS003911 (INI23113)	PSS011122\| European Ancestry\| 66,610 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (right)	—	—	R²: 0.70245 [0.69869, 0.70621] PGS R2 (no covariates): 0.05367 [0.05037, 0.05697] Incremental R2 (full-covars): 0.0537	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018879	PGS003912 (INI23115)	PSS011123\| European Ancestry\| 66,609 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (left)	—	—	R²: 0.78716 [0.78432, 0.79001] PGS R2 (no covariates): 0.02265 [0.02044, 0.02487] Incremental R2 (full-covars): 0.02424	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018880	PGS003912 (INI23115)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (left)	—	—	R²: 0.77429 [0.75983, 0.78874] PGS R2 (no covariates): 0.01845 [0.00874, 0.02815] Incremental R2 (full-covars): 0.02867	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018881	PGS003912 (INI23115)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (left)	—	—	R²: 0.83462 [0.81929, 0.84994] PGS R2 (no covariates): 0.01713 [0.00409, 0.03018] Incremental R2 (full-covars): 0.01262	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018882	PGS003912 (INI23115)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (left)	—	—	R²: 0.81111 [0.79202, 0.8302] PGS R2 (no covariates): 0.00463 [-0.00297, 0.01223] Incremental R2 (full-covars): -0.0031	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018883	PGS003912 (INI23115)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat percentage (left)	—	—	R²: 0.76995 [0.76111, 0.77879] PGS R2 (no covariates): 0.0179 [0.01214, 0.02365] Incremental R2 (full-covars): 0.01686	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018884	PGS003913 (INI23116)	PSS011123\| European Ancestry\| 66,609 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (left)	—	—	R²: 0.39741 [0.39168, 0.40313] PGS R2 (no covariates): 0.06313 [0.05959, 0.06668] Incremental R2 (full-covars): 0.06377	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018885	PGS003913 (INI23116)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (left)	—	—	R²: 0.37246 [0.34459, 0.40033] PGS R2 (no covariates): 0.05784 [0.04135, 0.07433] Incremental R2 (full-covars): 0.06889	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018886	PGS003913 (INI23116)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (left)	—	—	R²: 0.49254 [0.45642, 0.52866] PGS R2 (no covariates): 0.05374 [0.0315, 0.07599] Incremental R2 (full-covars): 0.03687	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018887	PGS003913 (INI23116)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (left)	—	—	R²: 0.42831 [0.38632, 0.4703] PGS R2 (no covariates): 0.00783 [-0.00202, 0.01768] Incremental R2 (full-covars): -0.02241	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018888	PGS003913 (INI23116)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat mass (left)	—	—	R²: 0.38211 [0.36539, 0.39884] PGS R2 (no covariates): 0.06201 [0.05178, 0.07224] Incremental R2 (full-covars): 0.04801	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018889	PGS003914 (INI23117)	PSS011124\| European Ancestry\| 66,607 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (left)	—	—	R²: 0.69704 [0.69323, 0.70085] PGS R2 (no covariates): 0.05413 [0.05082, 0.05744] Incremental R2 (full-covars): 0.05384	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018890	PGS003914 (INI23117)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (left)	—	—	R²: 0.70089 [0.68266, 0.71911] PGS R2 (no covariates): 0.05971 [0.04299, 0.07643] Incremental R2 (full-covars): 0.05733	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018892	PGS003914 (INI23117)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (left)	—	—	R²: 0.50439 [0.46489, 0.54389] PGS R2 (no covariates): 0.00566 [-0.00274, 0.01405] Incremental R2 (full-covars): -0.00128	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018893	PGS003914 (INI23117)	PSS011177\| Multi-ancestry (excluding European)\| 7,841 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (left)	—	—	R²: 0.69898 [0.68796, 0.71] PGS R2 (no covariates): 0.03894 [0.03063, 0.04724] Incremental R2 (full-covars): 0.03936	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018891	PGS003914 (INI23117)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Leg fat-free mass (left)	—	—	R²: 0.65569 [0.62741, 0.68396] PGS R2 (no covariates): 0.02557 [0.00977, 0.04137] Incremental R2 (full-covars): 0.04081	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018894	PGS003915 (INI23119)	PSS011124\| European Ancestry\| 66,607 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (right)	—	—	R²: 0.51448 [0.50923, 0.51972] PGS R2 (no covariates): 0.0514 [0.04816, 0.05464] Incremental R2 (full-covars): 0.05223	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018895	PGS003915 (INI23119)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (right)	—	—	R²: 0.48202 [0.45585, 0.50819] PGS R2 (no covariates): 0.04956 [0.03416, 0.06496] Incremental R2 (full-covars): 0.05557	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018896	PGS003915 (INI23119)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (right)	—	—	R²: 0.64938 [0.62073, 0.67803] PGS R2 (no covariates): 0.03254 [0.01484, 0.05023] Incremental R2 (full-covars): 0.01567	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018897	PGS003915 (INI23119)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (right)	—	—	R²: 0.61773 [0.58402, 0.65145] PGS R2 (no covariates): 0.00987 [-0.00117, 0.02092] Incremental R2 (full-covars): -0.01807	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018898	PGS003915 (INI23119)	PSS011178\| Multi-ancestry (excluding European)\| 7,840 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (right)	—	—	R²: 0.48191 [0.46617, 0.49766] PGS R2 (no covariates): 0.04991 [0.04062, 0.05921] Incremental R2 (full-covars): 0.0412	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018899	PGS003916 (INI23120)	PSS011134\| European Ancestry\| 66,604 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (right)	—	—	R²: 0.14871 [0.14377, 0.15365] PGS R2 (no covariates): 0.08625 [0.08221, 0.09029] Incremental R2 (full-covars): 0.08473	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018901	PGS003916 (INI23120)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (right)	—	—	R²: 0.19809 [0.1619, 0.23429] PGS R2 (no covariates): 0.07372 [0.04821, 0.09922] Incremental R2 (full-covars): 0.04848	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018902	PGS003916 (INI23120)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (right)	—	—	R²: 0.13404 [0.09846, 0.16962] PGS R2 (no covariates): 0.00846 [-0.00178, 0.01869] Incremental R2 (full-covars): -0.0561	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018903	PGS003916 (INI23120)	PSS011178\| Multi-ancestry (excluding European)\| 7,840 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (right)	—	—	R²: 0.14567 [0.13139, 0.15994] PGS R2 (no covariates): 0.0796 [0.06823, 0.09097] Incremental R2 (full-covars): 0.06809	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018900	PGS003916 (INI23120)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (right)	—	—	R²: 0.12394 [0.1015, 0.14639] PGS R2 (no covariates): 0.08183 [0.06272, 0.10095] Incremental R2 (full-covars): 0.083	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018904	PGS003917 (INI23121)	PSS011135\| European Ancestry\| 66,605 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (right)	—	—	R²: 0.76312 [0.76, 0.76624] PGS R2 (no covariates): 0.04183 [0.03888, 0.04479] Incremental R2 (full-covars): 0.04246	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018905	PGS003917 (INI23121)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (right)	—	—	R²: 0.76262 [0.74753, 0.7777] PGS R2 (no covariates): 0.05531 [0.03914, 0.07148] Incremental R2 (full-covars): 0.04628	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018907	PGS003917 (INI23121)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (right)	—	—	R²: 0.64409 [0.61204, 0.67615] PGS R2 (no covariates): 0.00928 [-0.00143, 0.02] Incremental R2 (full-covars): 0.00249	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018908	PGS003917 (INI23121)	PSS011178\| Multi-ancestry (excluding European)\| 7,840 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (right)	—	—	R²: 0.76131 [0.75219, 0.77043] PGS R2 (no covariates): 0.03229 [0.02468, 0.0399] Incremental R2 (full-covars): 0.03087	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018906	PGS003917 (INI23121)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (right)	—	—	R²: 0.72486 [0.70111, 0.74862] PGS R2 (no covariates): 0.02572 [0.00987, 0.04157] Incremental R2 (full-covars): 0.03555	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018909	PGS003918 (INI23123)	PSS011133\| European Ancestry\| 66,600 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (left)	—	—	R²: 0.51854 [0.51332, 0.52377] PGS R2 (no covariates): 0.05245 [0.04918, 0.05572] Incremental R2 (full-covars): 0.0534	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018910	PGS003918 (INI23123)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (left)	—	—	R²: 0.48337 [0.45723, 0.50951] PGS R2 (no covariates): 0.04795 [0.03277, 0.06312] Incremental R2 (full-covars): 0.05574	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018911	PGS003918 (INI23123)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (left)	—	—	R²: 0.62439 [0.59429, 0.65449] PGS R2 (no covariates): 0.03768 [0.01873, 0.05662] Incremental R2 (full-covars): 0.01993	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018912	PGS003918 (INI23123)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (left)	—	—	R²: 0.60637 [0.57197, 0.64077] PGS R2 (no covariates): 0.00965 [-0.00127, 0.02056] Incremental R2 (full-covars): -0.0166	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018913	PGS003918 (INI23123)	PSS011178\| Multi-ancestry (excluding European)\| 7,840 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat percentage (left)	—	—	R²: 0.48038 [0.46461, 0.49615] PGS R2 (no covariates): 0.0511 [0.04171, 0.0605] Incremental R2 (full-covars): 0.04319	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018914	PGS003919 (INI23124)	PSS011132\| European Ancestry\| 66,594 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (left)	—	—	R²: 0.14427 [0.13937, 0.14916] PGS R2 (no covariates): 0.08369 [0.0797, 0.08768] Incremental R2 (full-covars): 0.08219	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018915	PGS003919 (INI23124)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (left)	—	—	R²: 0.11957 [0.09741, 0.14173] PGS R2 (no covariates): 0.07793 [0.0592, 0.09667] Incremental R2 (full-covars): 0.0794	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018916	PGS003919 (INI23124)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (left)	—	—	R²: 0.18653 [0.1509, 0.22216] PGS R2 (no covariates): 0.0701 [0.04513, 0.09506] Incremental R2 (full-covars): 0.04734	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018917	PGS003919 (INI23124)	PSS011158\| African Ancestry\| 1,169 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (left)	—	—	R²: 0.12442 [0.08976, 0.15909] PGS R2 (no covariates): 0.00699 [-0.00233, 0.0163] Incremental R2 (full-covars): -0.05668	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018918	PGS003919 (INI23124)	PSS011162\| Multi-ancestry (excluding European)\| 7,839 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat mass (left)	—	—	R²: 0.13999 [0.1259, 0.15408] PGS R2 (no covariates): 0.07732 [0.06609, 0.08856] Incremental R2 (full-covars): 0.06589	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018919	PGS003920 (INI23125)	PSS011130\| European Ancestry\| 66,591 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (left)	—	—	R²: 0.73845 [0.73506, 0.74183] PGS R2 (no covariates): 0.0462 [0.04311, 0.04928] Incremental R2 (full-covars): 0.04641	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018920	PGS003920 (INI23125)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (left)	—	—	R²: 0.74029 [0.72403, 0.75655] PGS R2 (no covariates): 0.0595 [0.0428, 0.07619] Incremental R2 (full-covars): 0.0506	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018921	PGS003920 (INI23125)	PSS011118\| South Asian Ancestry\| 1,457 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (left)	—	—	R²: 0.67307 [0.64587, 0.70027] PGS R2 (no covariates): 0.03556 [0.01712, 0.05401] Incremental R2 (full-covars): 0.0433	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018922	PGS003920 (INI23125)	PSS011157\| African Ancestry\| 1,168 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (left)	—	—	R²: 0.58307 [0.54734, 0.6188] PGS R2 (no covariates): 0.00737 [-0.00219, 0.01694] Incremental R2 (full-covars): 0.00113	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018923	PGS003920 (INI23125)	PSS011162\| Multi-ancestry (excluding European)\| 7,839 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Arm fat-free mass (left)	—	—	R²: 0.73548 [0.72554, 0.74541] PGS R2 (no covariates): 0.03563 [0.02766, 0.0436] Incremental R2 (full-covars): 0.03443	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018924	PGS003921 (INI23127)	PSS011128\| European Ancestry\| 66,582 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat percentage	—	—	R²: 0.27379 [0.26807, 0.27952] PGS R2 (no covariates): 0.08028 [0.07635, 0.0842] Incremental R2 (full-covars): 0.08082	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018926	PGS003921 (INI23127)	PSS011119\| South Asian Ancestry\| 1,456 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat percentage	—	—	R²: 0.31316 [0.27418, 0.35214] PGS R2 (no covariates): 0.06997 [0.04502, 0.09491] Incremental R2 (full-covars): 0.05643	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018927	PGS003921 (INI23127)	PSS011157\| African Ancestry\| 1,168 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat percentage	—	—	R²: 0.32278 [0.2796, 0.36596] PGS R2 (no covariates): 0.01113 [-0.00058, 0.02284] Incremental R2 (full-covars): -0.03274	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018928	PGS003921 (INI23127)	PSS011163\| Multi-ancestry (excluding European)\| 7,838 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat percentage	—	—	R²: 0.23709 [0.22083, 0.25336] PGS R2 (no covariates): 0.0811 [0.06964, 0.09256] Incremental R2 (full-covars): 0.06338	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018925	PGS003921 (INI23127)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat percentage	—	—	R²: 0.25282 [0.22547, 0.28016] PGS R2 (no covariates): 0.09086 [0.07091, 0.1108] Incremental R2 (full-covars): 0.09109	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018929	PGS003922 (INI23128)	PSS011127\| European Ancestry\| 66,580 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat mass	—	—	R²: 0.12779 [0.1231, 0.13249] PGS R2 (no covariates): 0.11593 [0.1114, 0.12047] Incremental R2 (full-covars): 0.11466	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018930	PGS003922 (INI23128)	PSS011105\| European Ancestry\| 2,837 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat mass	—	—	R²: 0.13897 [0.11561, 0.16233] PGS R2 (no covariates): 0.13241 [0.10944, 0.15539] Incremental R2 (full-covars): 0.12803	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018931	PGS003922 (INI23128)	PSS011119\| South Asian Ancestry\| 1,456 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat mass	—	—	R²: 0.12834 [0.09667, 0.16001] PGS R2 (no covariates): 0.11437 [0.08399, 0.14474] Incremental R2 (full-covars): 0.1067	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018932	PGS003922 (INI23128)	PSS011157\| African Ancestry\| 1,168 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat mass	—	—	R²: 0.02303 [0.00639, 0.03967] PGS R2 (no covariates): 0.01601 [0.00204, 0.02998] Incremental R2 (full-covars): 0.01465	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018933	PGS003922 (INI23128)	PSS011163\| Multi-ancestry (excluding European)\| 7,838 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat mass	—	—	R²: 0.14605 [0.13176, 0.16034] PGS R2 (no covariates): 0.1056 [0.09287, 0.11832] Incremental R2 (full-covars): 0.08711	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018934	PGS003923 (INI23129)	PSS011126\| European Ancestry\| 66,571 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.77028 [0.76725, 0.77332] PGS R2 (no covariates): 0.05342 [0.05012, 0.05671] Incremental R2 (full-covars): 0.05378	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018935	PGS003923 (INI23129)	PSS011106\| European Ancestry\| 2,836 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.76786 [0.75305, 0.78266] PGS R2 (no covariates): 0.06983 [0.05194, 0.08772] Incremental R2 (full-covars): 0.05846	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018936	PGS003923 (INI23129)	PSS011116\| South Asian Ancestry\| 1,455 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.68418 [0.65769, 0.71067] PGS R2 (no covariates): 0.02869 [0.012, 0.04537] Incremental R2 (full-covars): 0.0457	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018937	PGS003923 (INI23129)	PSS011157\| African Ancestry\| 1,168 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.58996 [0.55462, 0.62531] PGS R2 (no covariates): 0.00863 [-0.0017, 0.01897] Incremental R2 (full-covars): 0.00562	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018938	PGS003923 (INI23129)	PSS011163\| Multi-ancestry (excluding European)\| 7,838 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Trunk fat-free mass	—	—	R²: 0.75247 [0.74306, 0.76187] PGS R2 (no covariates): 0.04065 [0.03218, 0.04912] Incremental R2 (full-covars): 0.04164	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM019170	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.26843	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019171	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.21006	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019172	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28302	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019173	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23645	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019174	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28337	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020065	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.35385	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020066	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.32614	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020067	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26677	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020068	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.33511	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020069	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.27048	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019205	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.24937	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019206	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.21681	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019207	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.25672	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019208	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.2328	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019209	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.2558	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020090	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.31544	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020091	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.29137	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020092	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.25831	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020093	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.31267	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020094	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.24786	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019210	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.27473	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019211	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.20034	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019212	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28629	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019213	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.24618	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019214	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.29892	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019182	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.22725	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019183	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.20804	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019184	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23174	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019180	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.22444	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019181	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.18252	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020075	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.36472	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020076	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.33197	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020077	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.28234	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020078	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.34509	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020079	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.28559	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019155	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.27279	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019156	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.17614	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019157	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28307	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019158	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23025	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019159	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.29441	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019193	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.20292	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019194	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23169	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019190	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.22924	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019191	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.19661	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019192	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.236	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020080	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.33881	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020081	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.30485	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020082	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26196	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020083	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.31748	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020084	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26382	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019185	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.27372	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019186	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.19873	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019187	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28643	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019188	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.24111	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019189	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.29808	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019200	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.26849	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019201	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.20035	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019202	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.27952	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019203	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23887	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019204	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28279	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020085	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.35864	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020086	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.33536	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020087	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26465	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020088	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.34613	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020089	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26176	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019198	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.21196	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019195	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.26769	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019196	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.16504	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019197	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.27794	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019199	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.29179	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019160	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.13262	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019161	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.13437	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019162	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.13976	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019163	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.13361	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019164	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.12888	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020061	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.26981	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020062	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.25362	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020063	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.27669	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020064	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.24036	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020060	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.29998	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019150	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.22681	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019151	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.13234	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019152	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23703	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019153	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.18732	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019154	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.24564	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019175	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23628	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019176	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.18382	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019177	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.23811	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019178	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.2074	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019179	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.24019	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020070	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.35918	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020071	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.32289	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020072	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.28496	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020073	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.33073	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020074	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Height	β: 0.28263	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019165	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.28774	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019166	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.21492	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019167	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.2987	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019168	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.25738	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM019169	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti M R et al. medRxiv (2023) \|Pre	Reported Trait: Body Mass Index	β: 0.31034	—	—	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020144	PGS004211 (height_1)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71113	year of birth, sex	—
PPM020145	PGS004212 (height_2)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020146	PGS004213 (height_3)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71113	year of birth, sex	—
PPM020147	PGS004214 (height_4)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020148	PGS004215 (height_5)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020149	PGS004216 (bmi_1)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Body mass index (weight/height)	—	—	R²: 0.13038	year of birth, sex	—
PPM020150	PGS004217 (bmi_2)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Body mass index (weight/height)	—	—	R²: 0.13102	year of birth, sex	—
PPM020151	PGS004218 (bmi_3)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Body mass index (weight/height)	—	—	R²: 0.13038	year of birth, sex	—
PPM020152	PGS004219 (bmi_4)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Body mass index (weight/height)	—	—	R²: 0.12915	year of birth, sex	—
PPM020153	PGS004220 (bmi_5)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Body mass index (weight/height)	—	—	R²: 0.13038	year of birth, sex	—
PPM020403	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index	—	—	Beta (per effect allele): 0.34	—	—
PPM020404	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index in females	—	—	Beta (per effect allele): 0.37	—	—
PPM020405	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index in males	—	—	Beta (per effect allele): 0.27	—	—
PPM020406	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x SASH language use subscale interaction	—	—	Beta (per effect allele): 0.17 (0.02)	age, sex, top 5 principal components, and study site	—
PPM020407	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x SASH language use subscale interaction in females	—	—	Beta (per effect allele): 0.15 (0.03)	age, sex, top 5 principal components, and study site	—
PPM020408	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x SASH language use subscale interaction in males	—	—	Beta (per effect allele): 0.22 (0.03)	age, sex, top 5 principal components, and study site	—
PPM020409	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x nativity interaction	—	—	Beta (per effect allele): 0.19 (0.03)	age, sex, top 5 principal components, and study site	—
PPM020410	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x nativity interaction in females	—	—	Beta (per effect allele): 0.23 (0.04)	age, sex, top 5 principal components, and study site	—
PPM020411	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x nativity interaction in males	—	—	Beta (per effect allele): 0.15 (0.03)	age, sex, top 5 principal components, and study site	—
PPM020412	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x time in United States interaction	—	—	Beta (per effect allele): 0.09 (0.01)	age, sex, top 5 principal components, and study site	—
PPM020413	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x time in United States interaction in females	—	—	Beta (per effect allele): 0.11 (0.01)	age, sex, top 5 principal components, and study site	—
PPM020414	PGS004319 (GRS103_BMI)	PSS011351\| Hispanic or Latin American Ancestry\| 11,747 individuals	PGP000549 \| Fernández-Rhodes L et al. Psychosom Med (2023)	Reported Trait: Body mass index x time in United States interaction in males	—	—	Beta (per effect allele): 0.06 (0.01)	age, sex, top 5 principal components, and study site	—
PPM020488	PGS004373 (X23098.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: weight	—	—	PGS R2 (no covariates): 0.28791	—	—
PPM020489	PGS004374 (X23099.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Body fat percentage	—	—	PGS R2 (no covariates): 0.21041	—	—
PPM020490	PGS004375 (X23100.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Whole body fat mass	—	—	PGS R2 (no covariates): 0.28222	—	—
PPM020491	PGS004376 (X23101.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Whole body fat-free mass	—	—	PGS R2 (no covariates): 0.21574	—	—
PPM020492	PGS004377 (X23102.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Whole body water mass	—	—	PGS R2 (no covariates): 0.21586	—	—
PPM020493	PGS004378 (X23104.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Body mass index (BMI)	—	—	PGS R2 (no covariates): 0.29967	—	—
PPM020500	PGS004385 (X23111.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat percentage (right)	—	—	PGS R2 (no covariates): 0.16671	—	—
PPM020501	PGS004386 (X23112.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat mass (right)	—	—	PGS R2 (no covariates): 0.22404	—	—
PPM020502	PGS004387 (X23113.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat-free mass (right)	—	—	PGS R2 (no covariates): 0.2114	—	—
PPM020503	PGS004388 (X23114.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg predicted mass (right)	—	—	PGS R2 (no covariates): 0.21007	—	—
PPM020504	PGS004389 (X23115.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat percentage (left)	—	—	PGS R2 (no covariates): 0.16533	—	—
PPM020505	PGS004390 (X23116.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat mass (left)	—	—	PGS R2 (no covariates): 0.22252	—	—
PPM020506	PGS004391 (X23117.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg fat-free mass (left)	—	—	PGS R2 (no covariates): 0.21267	—	—
PPM020507	PGS004392 (X23118.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Leg predicted mass (left)	—	—	PGS R2 (no covariates): 0.21103	—	—
PPM020508	PGS004393 (X23119.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat percentage (right)	—	—	PGS R2 (no covariates): 0.2087	—	—
PPM020509	PGS004394 (X23120.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat mass (right)	—	—	PGS R2 (no covariates): 0.28262	—	—
PPM020510	PGS004395 (X23121.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat-free mass (right)	—	—	PGS R2 (no covariates): 0.19961	—	—
PPM020511	PGS004396 (X23122.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm predicted mass (right)	—	—	PGS R2 (no covariates): 0.19851	—	—
PPM020512	PGS004397 (X23123.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat percentage (left)	—	—	PGS R2 (no covariates): 0.20905	—	—
PPM020513	PGS004398 (X23124.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat mass (left)	—	—	PGS R2 (no covariates): 0.28255	—	—
PPM020514	PGS004399 (X23125.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm fat-free mass (left)	—	—	PGS R2 (no covariates): 0.20419	—	—
PPM020515	PGS004400 (X23126.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Arm predicted mass (left)	—	—	PGS R2 (no covariates): 0.20289	—	—
PPM020516	PGS004401 (X23127.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Trunk fat percentage	—	—	PGS R2 (no covariates): 0.24805	—	—
PPM020517	PGS004402 (X23128.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Trunk fat mass	—	—	PGS R2 (no covariates): 0.29231	—	—
PPM020518	PGS004403 (X23129.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Trunk fat-free mass	—	—	PGS R2 (no covariates): 0.21407	—	—
PPM020519	PGS004404 (X23130.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Trunk predicted mass	—	—	PGS R2 (no covariates): 0.21244	—	—
PPM020520	PGS004405 (X48.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Waist circumference	—	—	PGS R2 (no covariates): 0.237	—	—
PPM020521	PGS004406 (X49.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Hip circumference	—	—	PGS R2 (no covariates): 0.28017	—	—
PPM020522	PGS004407 (X50.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Standing height	—	—	PGS R2 (no covariates): 0.32082	—	—
PPM020523	PGS004408 (X20015.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Sitting height	—	—	PGS R2 (no covariates): 0.28011	—	—
PPM020524	PGS004409 (X21001.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Body mass index (BMI)	—	—	PGS R2 (no covariates): 0.30053	—	—
PPM020525	PGS004410 (X21002.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Weight	—	—	PGS R2 (no covariates): 0.27906	—	—
PPM020527	PGS004412 (X3143.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Ankle spacing width	—	—	PGS R2 (no covariates): 0.27264	—	—
PPM020531	PGS004416 (X4100.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Ankle spacing width (left)	—	—	PGS R2 (no covariates): 0.22747	—	—
PPM020536	PGS004421 (X4119.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Ankle spacing width (right)	—	—	PGS R2 (no covariates): 0.22842	—	—
PPM020541	PGS004426 (X20022.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Birth weight	—	—	PGS R2 (no covariates): 0.13912	—	—
PPM020543	PGS004428 (X46.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Hand grip strength (left)	—	—	PGS R2 (no covariates): 0.12037	—	—
PPM020544	PGS004429 (X47.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Hand grip strength (right)	—	—	PGS R2 (no covariates): 0.11968	—	—
PPM020771	PGS004609 (adult_BMI)	PSS011401\| European Ancestry\| 5,774 individuals	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Reported Trait: Adulthood body mass index (at age 44 years)	OR: 1.55 [1.43, 1.67]	—	—	—	Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020772	PGS004609 (adult_BMI)	PSS011402\| European Ancestry\| 4,704 individuals	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Reported Trait: Childhood body mass index (at age 11 years)	OR: 1.32 [1.2, 1.44]	—	—	—	Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020773	PGS004610 (child_BMI)	PSS011402\| European Ancestry\| 4,704 individuals	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Reported Trait: Childhood body mass index (at age 11 years)	OR: 1.32 [1.21, 1.44]	—	—	—	Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020774	PGS004610 (child_BMI)	PSS011401\| European Ancestry\| 5,774 individuals	PGP000585 \| Hawkes G et al. Diabetologia (2023)	Reported Trait: Adulthood body mass index (at age 44 years)	OR: 1.16 [1.08, 1.25]	—	—	—	Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020867	PGS004682 (height_AFR_lassosum2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0079	—	—
PPM020868	PGS004683 (height_AFR_ldpred2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0119	—	—
PPM020869	PGS004684 (height_AFR_PROSPER)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0479	—	—
PPM020870	PGS004685 (height_AFR_weighted_lassosum2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0295	—	—
PPM020871	PGS004686 (height_AFR_weighted_ldpred2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0297	—	—
PPM020958	PGS004733 (bmi_PRSmix_eur)	PSS011484\| European Ancestry\| 8,967 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Body mass index	—	—	Incremental R2 (Full model versus model with only covariates): 0.152 [0.138, 0.165]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM020959	PGS004734 (bmi_PRSmix_sas)	PSS011485\| South Asian Ancestry\| 6,644 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Body mass index	—	—	Incremental R2 (Full model versus model with only covariates): 0.06 [0.049, 0.071]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM020960	PGS004735 (bmi_PRSmixPlus_eur)	PSS011484\| European Ancestry\| 8,967 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Body mass index	—	—	Incremental R2 (Full model versus model with only covariates): 0.161 [0.147, 0.175]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM020961	PGS004736 (bmi_PRSmixPlus_sas)	PSS011485\| South Asian Ancestry\| 6,644 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Body mass index	—	—	Incremental R2 (Full model versus model with only covariates): 0.067 [0.056, 0.079]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021004	PGS004779 (height_PRSmix_eur)	PSS011497\| European Ancestry\| 9,045 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Height	—	—	Incremental R2 (Full model versus model with only covariates): 0.201 [0.186, 0.216]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021005	PGS004780 (height_PRSmix_sas)	PSS011498\| South Asian Ancestry\| 6,835 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Height	—	—	Incremental R2 (Full model versus model with only covariates): 0.088 [0.075, 0.101]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021006	PGS004781 (height_PRSmixPlus_eur)	PSS011497\| European Ancestry\| 9,045 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Height	—	—	Incremental R2 (Full model versus model with only covariates): 0.201 [0.187, 0.216]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021007	PGS004782 (height_PRSmixPlus_sas)	PSS011498\| South Asian Ancestry\| 6,835 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Height	—	—	Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021100	PGS004864 (PRS186_BMI)	PSS011528\| Ancestry Not Reported\| 767 individuals	PGP000611 \| de Toro-Martín J et al. JCI Insight (2018)	Reported Trait: Low weight loss following bariatric surgery	—	AUROC: 0.888	NRI: 0.638 [0.466, 0.809] IDI: 0.066 [0.041, 0.091]	Age, sex, initial body mass index, and type of surgery	—

Evaluated Samples

PGS Sample Set ID (PSS)	Phenotype Definitions and Methods	Participant Follow-up Time	Sample Numbers	Age of Study Participants	Sample Ancestry	Additional Ancestry Description	Cohort(s)	Additional Sample/Cohort Information
PSS005180	—	—	66,204 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS009157	—	—	2,149 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009162	—	—	2,139 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009179	—	—	4,073 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009187	—	—	4,105 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009190	—	—	4,126 individuals	—	European	Poland (NE Europe)	UKB	—
PSS011442	—	—	564 individuals [ 181 cases , 383 controls ] , 77.0 % Male samples	Mean = 26.7 years	European	—	PDAY	—
PSS011441	—	—	504 individuals [ 165 cases , 339 controls ] , 82.0 % Male samples	Mean = 27.5 years	African unspecified	—	PDAY	—
PSS007271	—	—	3,560 individuals	—	African unspecified	—	UKB	—
PSS007272	—	—	781 individuals	—	East Asian	—	UKB	—
PSS007273	—	—	10,636 individuals	—	European	non-white British ancestry	UKB	—
PSS007274	—	—	5,043 individuals	—	South Asian	—	UKB	—
PSS007275	—	—	25,716 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS009203	—	—	4,124 individuals	—	European	Poland (NE Europe)	UKB	—
PSS010187	—	—	1,381 individuals, 46.0 % Male samples	Mean = 57.7 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010199	—	—	2,315 individuals, 45.0 % Male samples	Mean = 58.0 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS009217	—	—	4,072 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009218	—	—	4,065 individuals	—	European	Poland (NE Europe)	UKB	—
PSS010203	—	—	2,336 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010204	—	—	2,346 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS009223	—	—	4,125 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009224	—	—	4,069 individuals	—	European	Poland (NE Europe)	UKB	—
PSS007860	—	—	2,450 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS007301	—	—	3,592 individuals	—	African unspecified	—	UKB	—
PSS007302	—	—	782 individuals	—	East Asian	—	UKB	—
PSS007303	—	—	10,633 individuals	—	European	non-white British ancestry	UKB	—
PSS007304	—	—	5,041 individuals	—	South Asian	—	UKB	—
PSS007305	—	—	25,728 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010216	—	—	2,344 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010223	—	—	2,318 individuals, 45.0 % Male samples	Mean = 58.0 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010224	—	—	2,313 individuals, 45.0 % Male samples	Mean = 58.0 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010230	—	—	2,344 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS009245	—	—	4,125 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009246	—	—	4,073 individuals	—	European	Poland (NE Europe)	UKB	—
PSS010231	—	—	1,260 individuals, 39.0 % Male samples	Mean = 57.0 years Sd = 7.2 years	European	Ashkenazi	UKB	—
PSS010233	—	—	2,316 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010249	—	—	2,344 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS009264	—	—	4,122 individuals	—	European	Poland (NE Europe)	UKB	—
PSS010250	—	—	2,318 individuals, 45.0 % Male samples	Mean = 58.0 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS007346	—	—	6,406 individuals	—	African unspecified	—	UKB	—
PSS007347	—	—	1,696 individuals	—	East Asian	—	UKB	—
PSS007348	—	—	24,787 individuals	—	European	non-white British ancestry	UKB	—
PSS007349	—	—	7,727 individuals	—	South Asian	—	UKB	—
PSS007350	—	—	67,154 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS007351	—	—	6,401 individuals	—	African unspecified	—	UKB	—
PSS007352	—	—	1,696 individuals	—	East Asian	—	UKB	—
PSS007353	—	—	24,789 individuals	—	European	non-white British ancestry	UKB	—
PSS000037	—	—	288,016 individuals, 45.0 % Male samples	—	European	—	UKB	—
PSS007354	—	—	7,741 individuals	—	South Asian	—	UKB	—
PSS007355	—	—	67,185 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS007357	—	—	1,698 individuals	—	East Asian	—	UKB	—
PSS007358	—	—	24,833 individuals	—	European	non-white British ancestry	UKB	—
PSS007359	—	—	7,756 individuals	—	South Asian	—	UKB	—
PSS007356	—	—	6,418 individuals	—	African unspecified	—	UKB	—
PSS007361	—	—	6,416 individuals	—	African unspecified	—	UKB	—
PSS007362	—	—	1,698 individuals	—	East Asian	—	UKB	—
PSS007363	—	—	24,833 individuals	—	European	non-white British ancestry	UKB	—
PSS007364	—	—	7,755 individuals	—	South Asian	—	UKB	—
PSS007365	—	—	67,319 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS007360	—	—	67,330 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS009295	—	—	20,000 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010185	—	—	1,115 individuals, 41.1 % Male samples	Mean = 46.18 years	Hispanic or Latin American	—	HCHS, SOL	—
PSS010283	—	—	2,406 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010287	—	—	2,435 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010288	—	—	2,437 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS000045	BMI difference between ages 21 and 45	—	1,699 individuals, 100.0 % Male samples	—	European	—	HPFS	—
PSS000046	BMI difference between ages 45 and 65	—	1,634 individuals, 100.0 % Male samples	—	European	—	HPFS	—
PSS000047	BMI difference between ages 65 and 80	—	2,020 individuals, 100.0 % Male samples	—	European	—	HPFS	—
PSS000048	BMI difference between ages 18 and 45	—	5,956 individuals, 0.0 % Male samples	—	European	—	NHS	—
PSS000049	BMI difference between age 18 and Menopause	—	6,705 individuals, 0.0 % Male samples	—	European	—	NHS	—
PSS000050	BMI difference between ages 45 and 65	—	5,640 individuals, 0.0 % Male samples	—	European	—	NHS	—
PSS000051	BMI difference between ages 65 and 80	—	2,942 individuals, 0.0 % Male samples	—	European	—	NHS	—
PSS000052	BMI difference between Menopause and age 65	—	6,436 individuals, 0.0 % Male samples	—	European	—	NHS	—
PSS010300	—	—	2,431 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010307	—	—	2,408 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010308	—	—	2,406 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS007396	—	—	6,407 individuals	—	African unspecified	—	UKB	—
PSS007397	—	—	1,697 individuals	—	East Asian	—	UKB	—
PSS007398	—	—	24,826 individuals	—	European	non-white British ancestry	UKB	—
PSS007399	—	—	7,650 individuals	—	South Asian	—	UKB	—
PSS007400	—	—	67,298 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010315	—	—	838 individuals, 34.0 % Male samples	Mean = 50.5 years Sd = 7.6 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010314	—	—	2,443 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010317	—	—	2,405 individuals, 36.0 % Male samples	Mean = 52.4 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS011484	—	—	8,967 individuals	—	European	—	AllofUs	—
PSS011485	—	—	6,644 individuals	—	South Asian	—	G&H	—
PSS011497	—	—	9,045 individuals	—	European	—	AllofUs	—
PSS011498	—	—	6,835 individuals	—	South Asian	—	G&H	—
PSS010333	—	—	2,444 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010334	—	—	2,408 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS010895	—	—	19,661 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010349	—	—	2,430 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS011401	—	—	5,774 individuals	—	European	—	NCDS	—
PSS010896	—	—	19,633 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010355	—	—	810 individuals, 35.0 % Male samples	Mean = 51.9 years Sd = 7.5 years	East Asian	Chinese	UKB	—
PSS011402	—	—	4,704 individuals	—	European	—	NCDS	—
PSS010367	—	—	1,767 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.7 years	East Asian	Chinese	UKB	—
PSS009383	—	—	11,502 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010371	—	—	1,787 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS010372	—	—	1,789 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS009388	—	—	11,255 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010902	—	—	19,955 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010384	—	—	1,787 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.7 years	East Asian	Chinese	UKB	—
PSS011528	Of the 767 participants, 147 were assigned to the low weight loss (LWL) trajectory group following biliopancreatic diversion with duodenal switch whilst 620 were assigned to the high weight loss and normal weight loss (HWL+NWL) trajectory group following biliopancreatic diversion with duodenal switch. Of the 147 individuals within the LWL trajectory group, 34 underwent biliopancreatic diversion with duodenal switch via laparoscopy whilst 112 underwent the same procedure via open surgery. Of the 620 individuals within the HWL+NWL trajectory group, 396 underwent biliopancreatic diversion with duodenal switch via laparoscopy whilst 217 underwent the same procedure via open surgery. On the eve of the surgery, height and body weight were measured and used to calculate the initial BMI as the weight in kilograms divided by the square of the height in meters. Body weight was further measured during postoperative visits or phone calls thorough a follow-up period of 8 years. Percentage of excess body weight loss (EBWL) was then calculated at each follow-up time point (3, 6, 12, 24, 36, 48, 60, 72, 84, and 96 months) as the difference between actual body weight loss (calculated initial BMI minus actual BMI) and ideal body weight loss (calculated as the initial BMI minus ideal BMI fixed at 25 kg/m2).	—	767 individuals, 28.16 % Male samples	—	Not reported	—	NR	Participants were obtained from the Bariatric Surgery Clinic of the Quebec Heart and Lung Institute.
PSS009405	—	—	19,632 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010391	—	—	1,770 individuals, 34.0 % Male samples	Mean = 52.4 years Sd = 7.7 years	East Asian	Chinese	UKB	—
PSS010392	—	—	1,754 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS010398	—	—	1,790 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS009413	—	—	19,855 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010399	—	—	713 individuals, 27.0 % Male samples	Mean = 50.5 years Sd = 7.2 years	East Asian	Chinese	UKB	—
PSS010401	—	—	1,770 individuals, 34.0 % Male samples	Mean = 52.4 years Sd = 7.7 years	East Asian	Chinese	UKB	—
PSS009416	—	—	19,953 individuals	—	European	UK (+ Ireland)	UKB	—
PSS009429	—	—	19,937 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010417	—	—	1,790 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS010418	—	—	1,770 individuals, 34.0 % Male samples	Mean = 52.4 years Sd = 7.7 years	East Asian	Chinese	UKB	—
PSS009443	—	—	19,637 individuals	—	European	UK (+ Ireland)	UKB	—
PSS009444	—	—	19,612 individuals	—	European	UK (+ Ireland)	UKB	—
PSS005174	—	—	7,645 individuals	—	South Asian	—	UKB	—
PSS010433	—	—	1,788 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS009449	—	—	19,965 individuals	—	European	UK (+ Ireland)	UKB	—
PSS009450	—	—	19,624 individuals	—	European	UK (+ Ireland)	UKB	—
PSS005175	—	—	66,210 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010439	—	—	1,978 individuals, 56.0 % Male samples	Mean = 52.7 years Sd = 8.2 years	South Asian	Indian	UKB	—
PSS005176	—	—	6,298 individuals	—	African unspecified	—	UKB	—
PSS005177	—	—	1,677 individuals	—	East Asian	—	UKB	—
PSS010451	—	—	6,129 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010455	—	—	6,171 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010456	—	—	6,100 individuals, 53.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS009471	—	—	19,966 individuals	—	European	UK (+ Ireland)	UKB	—
PSS009472	—	—	19,641 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010468	—	—	6,093 individuals, 53.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010475	—	—	6,134 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS009490	—	—	19,908 individuals	—	European	UK (+ Ireland)	UKB	—
PSS010476	—	—	6,122 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010482	—	—	6,215 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010483	—	—	1,501 individuals, 49.0 % Male samples	Mean = 51.1 years Sd = 8.2 years	South Asian	Indian	UKB	—
PSS010485	—	—	6,127 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS007221	—	—	2,253 individuals	—	African unspecified	—	UKB	—
PSS010501	—	—	6,215 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010502	—	—	6,134 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010517	—	—	6,072 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010523	—	—	488 individuals, 65.0 % Male samples	Mean = 51.1 years Sd = 7.6 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010535	—	—	1,123 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010539	—	—	1,139 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010540	—	—	1,151 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010552	—	—	1,149 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010559	—	—	1,124 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 7.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010560	—	—	1,121 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 7.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010566	—	—	1,152 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010567	—	—	303 individuals, 55.0 % Male samples	Mean = 51.1 years Sd = 7.8 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010569	—	—	1,123 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 7.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010585	—	—	1,152 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010586	—	—	1,124 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 7.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS009565	Clinically measured BMI	—	33,511 individuals, 46.9 % Male samples	Mean = 60.2 years Sd = 16.9 years	European	—	MGBB	—
PSS010601	—	—	1,148 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS010607	—	—	3,392 individuals, 46.0 % Male samples	Mean = 54.5 years Sd = 8.2 years	European	Italian	UKB	—
PSS010619	—	—	6,371 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010623	—	—	6,434 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010624	—	—	6,470 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010636	—	—	6,459 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010643	—	—	6,376 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010644	—	—	6,357 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010650	—	—	6,474 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010651	—	—	3,340 individuals, 39.0 % Male samples	Mean = 52.8 years Sd = 8.2 years	European	Italian	UKB	—
PSS010653	—	—	6,373 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010669	—	—	6,474 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010670	—	—	6,377 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010685	—	—	6,461 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS010691	—	—	1,412 individuals, 49.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS011422	—	—	4,527 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean	—	UKB	—
PSS010703	—	—	3,771 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010707	—	—	3,819 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010708	—	—	3,834 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010720	—	—	3,830 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010727	—	—	3,771 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010728	—	—	3,766 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010734	—	—	3,838 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010735	—	—	785 individuals, 39.0 % Male samples	Mean = 50.4 years Sd = 8.0 years	African unspecified	Nigerian	UKB	—
PSS010737	—	—	3,770 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010753	—	—	3,839 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010754	—	—	3,773 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS010769	—	—	3,828 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS003760	—	—	6,079 individuals [ 3,717 cases , 2,362 controls ]	—	African unspecified	—	UKB	—
PSS003761	—	—	1,602 individuals [ 664 cases , 938 controls ]	—	East Asian	—	UKB	—
PSS003762	—	—	24,477 individuals [ 10,994 cases , 13,483 controls ]	—	European	non-white British ancestry	UKB	—
PSS003763	—	—	7,281 individuals [ 3,505 cases , 3,776 controls ]	—	South Asian	—	UKB	—
PSS003764	—	—	66,390 individuals [ 30,581 cases , 35,809 controls ]	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010775	—	—	2,148 individuals, 40.0 % Male samples	Mean = 54.3 years Sd = 7.2 years	European	Polish	UKB	—
PSS007744	—	—	2,484 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010787	—	—	4,063 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010791	—	—	4,094 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010792	—	—	4,115 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010804	—	—	4,114 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010811	—	—	4,062 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010812	—	—	4,055 individuals, 37.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010818	—	—	4,114 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010819	—	—	2,136 individuals, 34.0 % Male samples	Mean = 52.8 years Sd = 7.2 years	European	Polish	UKB	—
PSS010821	—	—	4,059 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS000847	Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight.	—	3,997 individuals	Mean = 17.8 years	European	—	ALSPAC	ALSPAC offspring
PSS000848	Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight.	—	2,199 individuals, 0.0 % Male samples	Mean = 50.8 years	European	—	ALSPAC	ALSPAC mothers
PSS000849	Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight.	—	5,898 individuals	Mean = 9.9 years	European	—	ALSPAC	ALSPAC offspring
PSS010837	—	—	4,114 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010838	—	—	4,063 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010853	—	—	4,111 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS010859	—	—	11,364 individuals, 46.0 % Male samples	Mean = 56.8 years Sd = 7.8 years	European	white British	UKB	—
PSS007827	—	—	801 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS007832	—	—	840 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010871	—	—	19,650 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010875	—	—	19,862 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010876	—	—	19,949 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS011126	—	—	66,571 individuals	—	European (white British ancestry)	—	UKB	—
PSS007849	—	—	2,418 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010888	—	—	19,935 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS007857	—	—	2,448 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS000875	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.	—	3,124 individuals [ 37 cases , 3,087 controls ]	—	European	—	HUNT	—
PSS000876	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.	—	3,124 individuals [ 344 cases , 2,780 controls ]	—	European	—	HUNT	—
PSS000877	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.	—	2,896 individuals [ 30 cases , 2,866 controls ]	—	European	—	HUNT	—
PSS000878	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.	—	2,896 individuals [ 274 cases , 2,622 controls ]	—	European	—	HUNT	—
PSS000879	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	12,179 individuals [ 542 cases , 11,637 controls ]	—	European	—	HUNT	—
PSS000880	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	12,179 individuals [ 2,898 cases , 9,281 controls ]	—	European	—	HUNT	—
PSS000881	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	17,139 individuals [ 1,240 cases , 15,899 controls ]	—	European	—	HUNT	—
PSS000882	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	17,139 individuals [ 5,775 cases , 11,364 controls ]	—	European	—	HUNT	—
PSS000883	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	62,541 individuals [ 15,112 cases , 47,429 controls ]	—	European	—	HUNT	—
PSS000884	BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.	—	62,541 individuals [ 43,408 cases , 19,133 controls ]	—	European	—	HUNT	—
PSS000885	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	19,588 individuals [ 19,588 cases ] , 100.0 % Male samples	Mean = 42.4 years Sd = 12.6 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000886	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	21,499 individuals [ 21,499 cases ] , 0.0 % Male samples	Mean = 42.6 years Sd = 12.8 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000887	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	26,323 individuals [ 26,336 cases ] , 100.0 % Male samples	Mean = 47.6 years Sd = 16.1 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000888	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	29,527 individuals [ 29,545 cases ] , 0.0 % Male samples	Mean = 47.1 years Sd = 16.5 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000889	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	21,187 individuals [ 21,192 cases ] , 100.0 % Male samples	Mean = 52.3 years Sd = 14.5 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000890	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	25,096 individuals [ 25,108 cases ] , 0.0 % Male samples	Mean = 51.2 years Sd = 15.0 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000891	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	14,487 individuals [ 14,487 cases ] , 100.0 % Male samples	Mean = 60.2 years Sd = 11.5 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS000892	Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.	—	17,740 individuals [ 17,740 cases ] , 0.0 % Male samples	Mean = 58.9 years Sd = 11.9 years	European	—	HUNT	number o cases = number of observations (more than 1 pp)
PSS007873	—	—	2,444 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010903	—	—	11,297 individuals, 39.0 % Male samples	Mean = 55.5 years Sd = 8.0 years	European	white British	UKB	—
PSS010905	—	—	19,653 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS007887	—	—	2,420 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS007888	—	—	2,418 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010921	—	—	19,954 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010922	—	—	19,662 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS007893	—	—	2,456 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS007894	—	—	2,417 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS010937	—	—	19,923 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS007915	—	—	2,457 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS007916	—	—	2,420 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS000911	—	—	13,989 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari)	—	QBB	—
PSS007934	—	—	2,443 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS009695	—	—	6,399 individuals	—	African unspecified	—	UKB	—
PSS009696	—	—	916 individuals	—	East Asian	—	UKB	—
PSS009697	—	—	43,328 individuals	—	European	Non-British European	UKB	—
PSS009698	—	—	7,911 individuals	—	South Asian	—	UKB	—
PSS007963	—	—	1,810 individuals	—	East Asian	China (East Asia)	UKB	—
PSS009771	—	—	6,410 individuals	—	African unspecified	—	UKB	—
PSS009772	—	—	916 individuals	—	East Asian	—	UKB	—
PSS009773	—	—	43,376 individuals	—	European	Non-British European	UKB	—
PSS009774	—	—	7,921 individuals	—	South Asian	—	UKB	—
PSS008041	—	—	819 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008046	—	—	714 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008062	—	—	1,779 individuals	—	East Asian	China (East Asia)	UKB	—
PSS000967	—	—	941 individuals [ 21 cases , 920 controls ] , 42.5 % Male samples	—	European	—	ALSPAC	—
PSS000969	—	—	81,902 individuals, 45.9 % Male samples	—	European	—	UKB	This dataset is independent of UKB source/training and model selection datasets
PSS008070	—	—	1,799 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008073	—	—	1,801 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008086	—	—	1,799 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008100	—	—	1,782 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008101	—	—	1,766 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008106	—	—	1,802 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008107	—	—	1,782 individuals	—	East Asian	China (East Asia)	UKB	—
PSS004911	—	—	6,398 individuals	—	African unspecified	—	UKB	—
PSS008128	—	—	1,802 individuals	—	East Asian	China (East Asia)	UKB	—
PSS008129	—	—	1,782 individuals	—	East Asian	China (East Asia)	UKB	—
PSS009867	—	—	6,423 individuals	—	African unspecified	—	UKB	—
PSS009868	—	—	917 individuals	—	East Asian	—	UKB	—
PSS009869	—	—	43,384 individuals	—	European	Non-British European	UKB	—
PSS009870	—	—	8,026 individuals	—	South Asian	—	UKB	—
PSS008146	—	—	1,800 individuals	—	East Asian	China (East Asia)	UKB	—
PSS000991	Cases were individuals defined as obese (BMI ≥ 30kg/m2)	—	141 individuals [ 39 cases , 102 controls ] , 48.23 % Male samples	—	European (French-Canadian)	—	FAS	—
PSS000992	Cases were individuals defined as obese (BMI ≥ 30kg/m2)	—	177 individuals [ 50 cases , 127 controls ] , 43.5 % Male samples	—	European (French-Canadian)	—	QFS	—
PSS011036	—	—	9,958 individuals, 47.0 % Male samples	Mean = 56.86 years Sd = 8.05 years	European	—	UKB	—
PSS011041	—	—	4,527 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean (African American)	—	UKB	—
PSS011042	—	—	9,969 individuals, 47.0 % Male samples	Mean = 56.86 years Sd = 8.05 years	European	—	UKB	—
PSS008177	—	—	6,331 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011055	—	—	4,519 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean (African American)	—	UKB	—
PSS010265	—	—	2,335 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS008263	—	—	1,985 individuals	—	South Asian	India (South Asia)	UKB	—
PSS009916	—	—	369 individuals, 38.8 % Male samples	Mean = 44.6 years	African unspecified	—	BHS	—
PSS009917	—	—	832 individuals, 45.1 % Male samples	Mean = 45.4 years	European	—	BHS	—
PSS008268	—	—	1,505 individuals	—	South Asian	India (South Asia)	UKB	—
PSS010271	—	—	797 individuals, 35.0 % Male samples	Mean = 52.3 years Sd = 8.2 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS008285	—	—	6,180 individuals	—	South Asian	India (South Asia)	UKB	—
PSS008293	—	—	6,223 individuals	—	South Asian	India (South Asia)	UKB	—
PSS008296	—	—	6,152 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011097	—	—	2,669 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab)	—	NR	N total after excluding missing values = 2,553
PSS008309	—	—	6,145 individuals	—	South Asian	India (South Asia)	UKB	—
PSS009934	—	—	28,909 individuals, 38.0 % Male samples	—	East Asian (Han Chinese)	—	TWB	—
PSS008323	—	—	6,185 individuals	—	South Asian	India (South Asia)	UKB	—
PSS009937	—	—	449 individuals, 48.3 % Male samples	—	African American or Afro-Caribbean	—	NR	—
PSS009938	—	—	6,064 individuals, 47.9 % Male samples	—	European	—	NR	—
PSS008324	—	—	6,173 individuals	—	South Asian	India (South Asia)	UKB	—
PSS008329	—	—	6,267 individuals	—	South Asian	India (South Asia)	UKB	—
PSS008330	—	—	6,178 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011098	—	—	2,886 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011101	—	—	2,878 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011102	—	—	2,883 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS008351	—	—	6,267 individuals	—	South Asian	India (South Asia)	UKB	—
PSS008352	—	—	6,185 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011103	—	—	2,885 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011104	—	—	2,877 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011106	—	—	2,836 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011107	—	—	2,833 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011108	—	—	2,835 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011105	—	—	2,837 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011114	—	—	1,448 individuals	—	South Asian	—	UKB	—
PSS011115	—	—	1,452 individuals	—	South Asian	—	UKB	—
PSS011116	—	—	1,455 individuals	—	South Asian	—	UKB	—
PSS011117	—	—	1,473 individuals	—	South Asian	—	UKB	—
PSS011118	—	—	1,457 individuals	—	South Asian	—	UKB	—
PSS011119	—	—	1,456 individuals	—	South Asian	—	UKB	—
PSS011120	—	—	66,617 individuals	—	European (white British ancestry)	—	UKB	—
PSS011121	—	—	66,612 individuals	—	European (white British ancestry)	—	UKB	—
PSS008370	—	—	6,123 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011122	—	—	66,610 individuals	—	European (white British ancestry)	—	UKB	—
PSS011124	—	—	66,607 individuals	—	European (white British ancestry)	—	UKB	—
PSS011125	—	—	66,530 individuals	—	European (white British ancestry)	—	UKB	—
PSS011123	—	—	66,609 individuals	—	European (white British ancestry)	—	UKB	—
PSS011127	—	—	66,580 individuals	—	European (white British ancestry)	—	UKB	—
PSS011128	—	—	66,582 individuals	—	European (white British ancestry)	—	UKB	—
PSS011129	—	—	66,584 individuals	—	European (white British ancestry)	—	UKB	—
PSS011130	—	—	66,591 individuals	—	European (white British ancestry)	—	UKB	—
PSS011131	—	—	67,538 individuals	—	European (white British ancestry)	—	UKB	—
PSS011132	—	—	66,594 individuals	—	European (white British ancestry)	—	UKB	—
PSS011133	—	—	66,600 individuals	—	European (white British ancestry)	—	UKB	—
PSS011134	—	—	66,604 individuals	—	European (white British ancestry)	—	UKB	—
PSS011135	—	—	66,605 individuals	—	European (white British ancestry)	—	UKB	—
PSS011142	—	—	67,561 individuals	—	European (white British ancestry)	—	UKB	—
PSS011146	—	—	67,603 individuals	—	European (white British ancestry)	—	UKB	—
PSS011147	—	—	67,606 individuals	—	European (white British ancestry)	—	UKB	—
PSS011148	—	—	67,624 individuals	—	European (white British ancestry)	—	UKB	—
PSS011149	—	—	67,635 individuals	—	European (white British ancestry)	—	UKB	—
PSS008398	—	—	1,200 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS011150	—	—	66,614 individuals	—	European (white British ancestry)	—	UKB	—
PSS011151	—	—	66,613 individuals	—	European (white British ancestry)	—	UKB	—
PSS011156	—	—	1,166 individuals	—	African unspecified	—	UKB	—
PSS011157	—	—	1,168 individuals	—	African unspecified	—	UKB	—
PSS011158	—	—	1,169 individuals	—	African unspecified	—	UKB	—
PSS011159	—	—	1,191 individuals	—	African unspecified	—	UKB	—
PSS011160	—	—	1,195 individuals	—	African unspecified	—	UKB	—
PSS011161	—	—	7,959 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011162	—	—	7,839 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011163	—	—	7,838 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011164	—	—	7,824 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011165	—	—	7,837 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011171	—	—	7,964 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011172	—	—	7,967 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011173	—	—	7,968 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011174	—	—	7,971 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011175	—	—	7,973 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011176	—	—	7,842 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011177	—	—	7,841 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS011178	—	—	7,840 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS009972	—	—	2,246 individuals	—	East Asian	—	UKB	—
PSS009973	—	—	14,058 individuals	—	European	—	NR	LLB
PSS009974	—	—	14,587 individuals	—	European	—	UKB	—
PSS009975	—	—	5,798 individuals	—	Hispanic or Latin American	—	PAGE	—
PSS009976	—	—	9,257 individuals	—	South Asian	—	UKB	—
PSS009977	—	—	6,911 individuals	—	African unspecified	—	PAGE	—
PSS009978	—	—	8,238 individuals	—	African unspecified	—	UKB	—
PSS008485	—	—	507 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008490	—	—	303 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS009992	—	—	7,888 individuals	—	European (White)	—	ARIC	—
PSS009993	—	—	7,795 individuals	—	European, African unspecified, East Asian, South Asian, Not reported	White British, Black, East Asian, South Asian, Other	UKB	20% of original GWAS cohort
PSS009994	—	—	447,486 individuals	—	European, African unspecified, East Asian, South Asian, Not reported	White British, Black, East Asian, South Asian, Other	UKB	Unimaged cohort of UKB
PSS008507	—	—	1,151 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008515	—	—	1,168 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008518	—	—	1,180 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008531	—	—	1,178 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008545	—	—	1,152 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008546	—	—	1,149 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS001083	Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L).	—	2,531 individuals, 40.0 % Male samples	Mean = 48.0 years Sd = 12.0 years	European, Asian unspecified, Hispanic or Latin American, African unspecified, NR	European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152	NR	Participants were obtained from the Scientific Wellness Program.
PSS008551	—	—	1,181 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008552	—	—	1,151 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS000369	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	334 individuals, 69.2 % Male samples	Mean = 11.1 years Sd = 0.48 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000370	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	329 individuals, 69.2 % Male samples	Mean = 12.81 years Sd = 0.59 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000371	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	288 individuals, 69.2 % Male samples	Mean = 15.83 years Sd = 0.6 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000372	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	265 individuals, 69.2 % Male samples	Mean = 19.2 years Sd = 0.66 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000373	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	245 individuals, 69.2 % Male samples	Mean = 22.04 years Sd = 0.69 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000374	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,318 individuals, 47.6 % Male samples	Mean = 11.1 years	European	—	TRAILS	—
PSS000375	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,313 individuals, 47.6 % Male samples	Mean = 13.5 years	European	—	TRAILS	—
PSS000376	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,354 individuals, 47.56 % Male samples	Mean = 16.22 years Sd = 0.66 years	European	—	TRAILS	—
PSS000377	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,174 individuals, 47.6 % Male samples	Mean = 19.2 years	European	—	TRAILS	—
PSS000378	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,095 individuals, 47.6 % Male samples	Mean = 22.4 years	European	—	TRAILS	—
PSS001084	Moderate Age-Related Diabetes (MARD) vs. controls	—	5,597 individuals [ 2,853 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001085	Moderate Obesity-related Diabetes (MOD) vs. controls	—	4,116 individuals [ 1,372 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001086	Severe Autoimmune Diabetes (SAID) vs. controls	—	3,194 individuals [ 450 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001087	Severe Insulin-Deficient Diabetes (SIDD) vs. controls	—	3,930 individuals [ 1,186 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001088	Severe Insulin-Resistant Diabetes (SIRD) vs. controls	—	3,869 individuals [ 1,125 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS008573	—	—	1,181 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008574	—	—	1,152 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008592	—	—	1,175 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS008623	—	—	6,660 individuals	—	European	Italy (South Europe)	UKB	—
PSS005095	—	—	66,259 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005096	—	—	6,305 individuals	—	African unspecified	—	UKB	—
PSS009997	body mass (kg) divided by the square of the body height (m); Quantitative	—	23,382 individuals	—	European	—	MGI	—
PSS000411	59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).	—	104 individuals [ 76 cases , 28 controls ]	—	European	—	UKB	—
PSS000412	59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).	—	256,770 individuals [ 109,216 cases , 147,554 controls ]	—	European	—	UKB	—
PSS000413	All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).	—	206,612 individuals, 100.0 % Male samples	Mean = 57.0 years Sd = 8.1 years	European	—	UKB	—
PSS000413	All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).	—	244,896 individuals, 0.0 % Male samples	Mean = 57.0 years Sd = 7.9 years	European	—	UKB	—
PSS010007	body height (cm); Quantitative	—	23,349 individuals	—	European	—	MGI	—
PSS010017	Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary	—	21,346 individuals [ 390 cases , 20,956 controls ]	—	European	—	MGI	—
PSS008711	—	—	3,469 individuals	—	European	Italy (South Europe)	UKB	—
PSS011214	—	—	189,651 individuals	—	European	—	EB	—
PSS008716	—	—	3,422 individuals	—	European	Italy (South Europe)	UKB	—
PSS011219	—	—	190,013 individuals	—	European	—	EB	—
PSS010029	Field ID: 50; Quantitative	—	203,681 individuals	—	European	—	UKB	—
PSS010033	Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary	—	199,694 individuals [ 1,761 cases , 197,933 controls ]	—	European	—	UKB	—
PSS011230	—	—	267,343 individuals	—	European	—	FinnGen	—
PSS008733	—	—	6,533 individuals	—	European	Italy (South Europe)	UKB	—
PSS011237	—	—	33,146 individuals	—	South Asian	—	G&H	—
PSS008741	—	—	6,598 individuals	—	European	Italy (South Europe)	UKB	—
PSS008744	—	—	6,633 individuals	—	European	Italy (South Europe)	UKB	—
PSS011243	—	—	34,089 individuals	—	South Asian	—	G&H	—
PSS011253	—	—	66,663 individuals	—	European	—	HUNT	—
PSS008757	—	—	6,622 individuals	—	European	Italy (South Europe)	UKB	—
PSS011259	—	—	66,700 individuals	—	European	—	HUNT	—
PSS011267	—	—	89,976 individuals	—	European	—	UKB	—
PSS008771	—	—	6,538 individuals	—	European	Italy (South Europe)	UKB	—
PSS008772	—	—	6,519 individuals	—	European	Italy (South Europe)	UKB	—
PSS004801	—	—	253 individuals	—	African unspecified	—	UKB	—
PSS004802	—	—	133 individuals	—	East Asian	—	UKB	—
PSS004803	—	—	2,131 individuals	—	European	non-white British ancestry	UKB	—
PSS004804	—	—	414 individuals	—	South Asian	—	UKB	—
PSS004805	—	—	6,641 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS008777	—	—	6,637 individuals	—	European	Italy (South Europe)	UKB	—
PSS008778	—	—	6,535 individuals	—	European	Italy (South Europe)	UKB	—
PSS011281	—	—	9,097 individuals	—	South Asian	—	UKB	—
PSS011287	—	—	9,108 individuals	—	South Asian	—	UKB	—
PSS008799	—	—	6,637 individuals	—	European	Italy (South Europe)	UKB	—
PSS008800	—	—	6,539 individuals	—	European	Italy (South Europe)	UKB	—
PSS011296	22,667 sibling pairs	—	45,334 individuals	—	European	—	UKB	—
PSS008818	—	—	6,623 individuals	—	European	Italy (South Europe)	UKB	—
PSS011301	—	—	1,282 individuals [ 821 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011302	—	—	830 individuals [ 369 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011303	—	—	729 individuals [ 268 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011305	—	—	624 individuals [ 163 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS008848	—	—	3,924 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS004886	—	—	6,403 individuals	—	African unspecified	—	UKB	—
PSS004887	—	—	1,698 individuals	—	East Asian	—	UKB	—
PSS004888	—	—	24,825 individuals	—	European	non-white British ancestry	UKB	—
PSS004889	—	—	7,645 individuals	—	South Asian	—	UKB	—
PSS004890	—	—	67,301 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS004896	—	—	1,708 individuals	—	African unspecified	—	UKB	—
PSS004897	—	—	609 individuals	—	East Asian	—	UKB	—
PSS004898	—	—	12,908 individuals	—	European	non-white British ancestry	UKB	—
PSS004899	—	—	1,908 individuals	—	South Asian	—	UKB	—
PSS004900	—	—	39,107 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010096	—	—	52,760 individuals	—	European	—	UKB	—
PSS010096	—	—	11,323 individuals	—	African unspecified (Black)	—	UKB	—
PSS010096	—	—	1,091 individuals	—	Asian unspecified	—	UKB	—
PSS010097	—	—	390,459 individuals	—	European	—	eMERGE	—
PSS010097	—	—	3,018 individuals	—	African unspecified (Black)	—	eMERGE	—
PSS010097	—	—	8,169 individuals	—	Asian unspecified	—	eMERGE	—
PSS010097	—	—	3,786 individuals	—	Other	—	eMERGE	—
PSS004913	—	—	24,795 individuals	—	European	non-white British ancestry	UKB	—
PSS004914	—	—	7,639 individuals	—	South Asian	—	UKB	—
PSS004915	—	—	67,235 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS004916	—	—	6,410 individuals	—	African unspecified	—	UKB	—
PSS004917	—	—	1,696 individuals	—	East Asian	—	UKB	—
PSS004918	—	—	24,804 individuals	—	European	non-white British ancestry	UKB	—
PSS004919	—	—	7,746 individuals	—	South Asian	—	UKB	—
PSS004920	—	—	67,258 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS004912	—	—	1,696 individuals	—	East Asian	—	UKB	—
PSS009019	—	—	3,868 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS009020	—	—	3,801 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008931	—	—	1,421 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008936	—	—	791 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008953	—	—	3,799 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008961	—	—	3,849 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008964	—	—	3,863 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS011351	—	—	11,747 individuals, 49.1 % Male samples	Mean = 43.0 years	Hispanic or Latin American	—	HCHS, SOL	—
PSS005001	—	—	192 individuals	—	African unspecified	—	UKB	—
PSS005002	—	—	110 individuals	—	East Asian	—	UKB	—
PSS005003	—	—	1,708 individuals	—	European	non-white British ancestry	UKB	—
PSS005004	—	—	319 individuals	—	South Asian	—	UKB	—
PSS005005	—	—	5,526 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS008977	—	—	3,859 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008991	—	—	3,799 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008992	—	—	3,794 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS011364	—	—	56,192 individuals	—	European	—	UKB	—
PSS008997	—	—	3,867 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS008998	—	—	3,798 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS001425	—	—	1,657 individuals [ 140 cases , 1,517 controls ]	—	European	—	AGDS	—
PSS001426	—	—	2,585 individuals [ 367 cases , 2,218 controls ]	—	European	—	AGDS	—
PSS001427	—	—	2,524 individuals [ 489 cases , 2,035 controls ]	—	European	—	AGDS	—
PSS001428	—	—	1,995 individuals [ 382 cases , 1,613 controls ]	—	European	—	AGDS	—
PSS001429	—	—	4,365 individuals [ 712 cases , 3,653 controls ]	—	European	—	AGDS	—
PSS001430	—	—	3,670 individuals [ 583 cases , 3,087 controls ]	—	European	—	AGDS	—
PSS001431	—	—	1,987 individuals [ 186 cases , 1,801 controls ]	—	European	—	AGDS	—
PSS001432	—	—	1,580 individuals [ 236 cases , 1,344 controls ]	—	European	—	AGDS	—
PSS001433	—	—	5,719 individuals [ 1,020 cases , 4,699 controls ]	—	European	—	AGDS	—
PSS001434	—	—	3,967 individuals [ 794 cases , 3,173 controls ]	—	European	—	AGDS	—
PSS009038	—	—	3,857 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS005036	—	—	6,300 individuals	—	African unspecified	—	UKB	—
PSS005037	—	—	1,677 individuals	—	East Asian	—	UKB	—
PSS005038	—	—	24,454 individuals	—	European	non-white British ancestry	UKB	—
PSS005039	—	—	7,645 individuals	—	South Asian	—	UKB	—
PSS005040	—	—	66,227 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005041	—	—	6,294 individuals	—	African unspecified	—	UKB	—
PSS005042	—	—	1,667 individuals	—	East Asian	—	UKB	—
PSS005043	—	—	24,422 individuals	—	European	non-white British ancestry	UKB	—
PSS005044	—	—	7,639 individuals	—	South Asian	—	UKB	—
PSS005045	—	—	66,165 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005046	—	—	6,304 individuals	—	African unspecified	—	UKB	—
PSS005047	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005048	—	—	24,463 individuals	—	European	non-white British ancestry	UKB	—
PSS005049	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005050	—	—	66,262 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005051	—	—	6,305 individuals	—	African unspecified	—	UKB	—
PSS005052	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005053	—	—	24,466 individuals	—	European	non-white British ancestry	UKB	—
PSS005054	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005055	—	—	66,264 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005061	—	—	6,310 individuals	—	African unspecified	—	UKB	—
PSS005062	—	—	1,681 individuals	—	East Asian	—	UKB	—
PSS005063	—	—	24,471 individuals	—	European	non-white British ancestry	UKB	—
PSS005064	—	—	7,651 individuals	—	South Asian	—	UKB	—
PSS005065	—	—	66,304 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005066	—	—	6,310 individuals	—	African unspecified	—	UKB	—
PSS005067	—	—	1,681 individuals	—	East Asian	—	UKB	—
PSS005068	—	—	24,475 individuals	—	European	non-white British ancestry	UKB	—
PSS005069	—	—	7,653 individuals	—	South Asian	—	UKB	—
PSS005070	—	—	66,310 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS001456	—	—	5,179 individuals	—	European (Danish)	—	Inter99	Independent subset of Inter99, doesn't overlap with score development samples
PSS005071	—	—	6,310 individuals	—	African unspecified	—	UKB	—
PSS005072	—	—	1,681 individuals	—	East Asian	—	UKB	—
PSS005073	—	—	24,474 individuals	—	European	non-white British ancestry	UKB	—
PSS005074	—	—	7,653 individuals	—	South Asian	—	UKB	—
PSS005075	—	—	66,310 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005076	—	—	6,310 individuals	—	African unspecified	—	UKB	—
PSS005077	—	—	1,681 individuals	—	East Asian	—	UKB	—
PSS005078	—	—	24,473 individuals	—	European	non-white British ancestry	UKB	—
PSS005079	—	—	7,653 individuals	—	South Asian	—	UKB	—
PSS005080	—	—	66,307 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005081	—	—	6,310 individuals	—	African unspecified	—	UKB	—
PSS005082	—	—	1,681 individuals	—	East Asian	—	UKB	—
PSS005083	—	—	24,474 individuals	—	European	non-white British ancestry	UKB	—
PSS005085	—	—	66,310 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005084	—	—	7,653 individuals	—	South Asian	—	UKB	—
PSS005086	—	—	6,305 individuals	—	African unspecified	—	UKB	—
PSS005087	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005088	—	—	24,463 individuals	—	European	non-white British ancestry	UKB	—
PSS005089	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005090	—	—	66,260 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005091	—	—	6,305 individuals	—	African unspecified	—	UKB	—
PSS009069	—	—	4,136 individuals	—	European	Poland (NE Europe)	UKB	—
PSS005092	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005093	—	—	24,463 individuals	—	European	non-white British ancestry	UKB	—
PSS005094	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005097	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005098	—	—	24,461 individuals	—	European	non-white British ancestry	UKB	—
PSS005099	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005100	—	—	66,257 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005101	—	—	6,305 individuals	—	African unspecified	—	UKB	—
PSS005102	—	—	1,680 individuals	—	East Asian	—	UKB	—
PSS005103	—	—	24,461 individuals	—	European	non-white British ancestry	UKB	—
PSS005104	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005105	—	—	66,257 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005106	—	—	6,304 individuals	—	African unspecified	—	UKB	—
PSS005107	—	—	1,679 individuals	—	East Asian	—	UKB	—
PSS005108	—	—	24,461 individuals	—	European	non-white British ancestry	UKB	—
PSS005109	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005110	—	—	66,256 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005111	—	—	6,303 individuals	—	African unspecified	—	UKB	—
PSS005112	—	—	1,679 individuals	—	East Asian	—	UKB	—
PSS005113	—	—	24,461 individuals	—	European	non-white British ancestry	UKB	—
PSS005114	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005115	—	—	66,253 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005116	—	—	6,303 individuals	—	African unspecified	—	UKB	—
PSS005117	—	—	1,679 individuals	—	East Asian	—	UKB	—
PSS005118	—	—	24,460 individuals	—	European	non-white British ancestry	UKB	—
PSS005119	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005120	—	—	66,253 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005121	—	—	6,302 individuals	—	African unspecified	—	UKB	—
PSS005122	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005123	—	—	24,458 individuals	—	European	non-white British ancestry	UKB	—
PSS005124	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005125	—	—	66,253 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005126	—	—	6,302 individuals	—	African unspecified	—	UKB	—
PSS005127	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005128	—	—	24,456 individuals	—	European	non-white British ancestry	UKB	—
PSS005129	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005130	—	—	66,249 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005131	—	—	6,302 individuals	—	African unspecified	—	UKB	—
PSS005132	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005133	—	—	24,458 individuals	—	European	non-white British ancestry	UKB	—
PSS005134	—	—	7,649 individuals	—	South Asian	—	UKB	—
PSS005135	—	—	66,249 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005136	—	—	6,302 individuals	—	African unspecified	—	UKB	—
PSS005137	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005138	—	—	24,458 individuals	—	European	non-white British ancestry	UKB	—
PSS005139	—	—	7,648 individuals	—	South Asian	—	UKB	—
PSS005140	—	—	66,247 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005141	—	—	6,301 individuals	—	African unspecified	—	UKB	—
PSS005142	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005143	—	—	24,458 individuals	—	European	non-white British ancestry	UKB	—
PSS005144	—	—	7,648 individuals	—	South Asian	—	UKB	—
PSS005145	—	—	66,244 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005146	—	—	6,301 individuals	—	African unspecified	—	UKB	—
PSS005147	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005148	—	—	24,458 individuals	—	European	non-white British ancestry	UKB	—
PSS005149	—	—	7,647 individuals	—	South Asian	—	UKB	—
PSS005150	—	—	66,237 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005151	—	—	6,299 individuals	—	African unspecified	—	UKB	—
PSS005152	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005153	—	—	24,457 individuals	—	European	non-white British ancestry	UKB	—
PSS005154	—	—	7,647 individuals	—	South Asian	—	UKB	—
PSS005155	—	—	66,234 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005156	—	—	6,299 individuals	—	African unspecified	—	UKB	—
PSS005157	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005158	—	—	24,454 individuals	—	European	non-white British ancestry	UKB	—
PSS005159	—	—	7,647 individuals	—	South Asian	—	UKB	—
PSS005160	—	—	66,231 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005161	—	—	6,299 individuals	—	African unspecified	—	UKB	—
PSS005162	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005163	—	—	24,452 individuals	—	European	non-white British ancestry	UKB	—
PSS005164	—	—	7,646 individuals	—	South Asian	—	UKB	—
PSS005165	—	—	66,224 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005166	—	—	6,299 individuals	—	African unspecified	—	UKB	—
PSS005167	—	—	1,678 individuals	—	East Asian	—	UKB	—
PSS005168	—	—	24,450 individuals	—	European	non-white British ancestry	UKB	—
PSS005169	—	—	7,646 individuals	—	South Asian	—	UKB	—
PSS005170	—	—	66,220 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005171	—	—	6,298 individuals	—	African unspecified	—	UKB	—
PSS005172	—	—	1,677 individuals	—	East Asian	—	UKB	—
PSS005173	—	—	24,445 individuals	—	European	non-white British ancestry	UKB	—
PSS007222	—	—	795 individuals	—	East Asian	—	UKB	—
PSS007223	—	—	12,376 individuals	—	European	non-white British ancestry	UKB	—
PSS007224	—	—	2,312 individuals	—	South Asian	—	UKB	—
PSS007225	—	—	38,834 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS005178	—	—	24,444 individuals	—	European	non-white British ancestry	UKB	—
PSS005179	—	—	7,642 individuals	—	South Asian	—	UKB	—