Trait: body weights and measures

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004324
Description Measurements of the height, weight, length, area, etc., of the human and animal body or its parts.
Trait category
Body measurement
Synonym body measures
Mapped term MeSH:D001837
Child trait(s) 11 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "body weights and measures" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000027
(GPS_BMI)
PGP000017 |
Khera AV et al. Cell (2019)
Body Mass Index 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 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 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 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 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 (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 (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 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
PGS000910
(PRS_BMI)
PGP000238 |
Campos AI et al. medRxiv (2021)
|Pre
Body mass index 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 body mass index 1,947,711
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000921/ScoringFiles/PGS000921.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)
Percentage of right arm fat body fat percentage 23,943
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.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
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 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
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
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
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
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
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
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
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
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
PGS002251
(PRS97_BMI)
PGP000278 |
Dashti HS et al. BMC Med (2022)
Body mass index 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)
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)
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)
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)
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)
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)
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)
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)
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)
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 body mass index 14
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002751/ScoringFiles/PGS002751.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 : 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
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).
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).
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).
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) : 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) : 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
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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 0.1194 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) : 0.0579 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) : 0.0612 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) : 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) : 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) : 0.0591 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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) : 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) : 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) : 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) : 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
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
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
PPM002930 PGS000910
(PRS_BMI)
PSS001433|
European Ancestry|
5,719 individuals
PGP000238 |
Campos AI et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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 : 0.162
R2 (linear regression BMI ~ 1 + PRS): 0.131
age, sex
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] : 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] : 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] : 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] : 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] : 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 % : 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 % : 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 % : 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 % : 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 % : 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
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
: 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) : 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) : 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) : 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
PPM008253 PGS001102
(GBE_INI23123)
PSS005145|
European Ancestry|
66,244 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Arm fat % (L) : 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
PPM008256 PGS001103
(GBE_INI23115)
PSS005108|
European Ancestry|
24,461 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Leg fat % (L) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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 % : 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 % : 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 % : 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 % : 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 % : 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) : 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) : 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) : 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) : 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) : 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
PPM008492 PGS001154
(GBE_INI23110)
PSS005081|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Impedance of arm (L) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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
: 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) : 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) : 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) : 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) : 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) : 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) : 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
: 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) : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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
PPM008644 PGS001226
(GBE_INI20022)
PSS004896|
African Ancestry|
1,708 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Birth weight : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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
PPM005231 PGS001405
(GBE_INI12144)
PSS004802|
East Asian Ancestry|
133 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Height : 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 : 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 : 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 : 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 : 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
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
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
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
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
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
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
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
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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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‚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|