| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0005106 |
| Description | measurement of the percentages of fat, bone and muscle in human bodies | Trait category |
Body measurement
|
| Child trait(s) | 3 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS001101 (GBE_INI23099) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage | body fat percentage | 27,396 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001101/ScoringFiles/PGS001101.txt.gz |
| PGS001102 (GBE_INI23123) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (left arm) | body fat percentage | 25,266 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001102/ScoringFiles/PGS001102.txt.gz |
| PGS001103 (GBE_INI23115) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (left leg) | body fat percentage | 28,134 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001103/ScoringFiles/PGS001103.txt.gz |
| PGS001104 (GBE_INI23111) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (right leg) | body fat percentage | 28,163 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001104/ScoringFiles/PGS001104.txt.gz |
| PGS001105 (GBE_INI23127) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (trunk fat) | body fat percentage | 25,651 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001105/ScoringFiles/PGS001105.txt.gz |
| PGS001106 (GBE_INI23119) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat percentage (R) | body fat percentage | 23,943 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.txt.gz |
| PGS001144 (GBE_INI23124) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat mass (L) | fat pad mass | 23,676 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001144/ScoringFiles/PGS001144.txt.gz |
| PGS001145 (GBE_INI23120) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat mass (R) | fat pad mass | 23,528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001145/ScoringFiles/PGS001145.txt.gz |
| PGS001146 (GBE_INI23121) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat-free mass (R) | fat pad mass | 29,063 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001146/ScoringFiles/PGS001146.txt.gz |
| PGS001147 (GBE_INI23112) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Leg fat mass (R) | fat pad mass | 23,565 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001147/ScoringFiles/PGS001147.txt.gz |
| PGS001148 (GBE_INI23128) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Trunk fat mass | fat pad mass | 29,233 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001148/ScoringFiles/PGS001148.txt.gz |
| PGS001149 (GBE_INI23100) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Whole body fat mass | fat pad mass | 27,550 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001149/ScoringFiles/PGS001149.txt.gz |
| PGS001154 (GBE_INI23110) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (left arm) | body composition measurement | 26,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001154/ScoringFiles/PGS001154.txt.gz |
| PGS001155 (GBE_INI23108) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (left leg) | body composition measurement | 28,999 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001155/ScoringFiles/PGS001155.txt.gz |
| PGS001156 (GBE_INI23109) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (right arm) | body composition measurement | 30,140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001156/ScoringFiles/PGS001156.txt.gz |
| PGS001157 (GBE_INI23107) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (right leg) | body composition measurement | 30,300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001157/ScoringFiles/PGS001157.txt.gz |
| PGS001158 (GBE_INI23118) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Left leg mass (predicted) | body composition measurement | 30,421 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001158/ScoringFiles/PGS001158.txt.gz |
| PGS001159 (GBE_INI23114) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Right leg mass (predicted) | body composition measurement | 32,103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001159/ScoringFiles/PGS001159.txt.gz |
| PGS001160 (GBE_INI23130) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Trunk mass (predicted) | body composition measurement | 32,685 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001160/ScoringFiles/PGS001160.txt.gz |
| PGS001161 (GBE_INI23106) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Whole body impedance | body composition measurement | 32,218 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001161/ScoringFiles/PGS001161.txt.gz |
| 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 |
| PGS001951 (portability-PLR_log_fat_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body fat mass | fat pad mass | 107,776 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001951/ScoringFiles/PGS001951.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 |
| 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 |
| PGS002169 (portability-ldpred2_log_fat_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body fat mass | fat pad mass | 988,292 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002169/ScoringFiles/PGS002169.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 |
| PGS003509 (cont-decay-fat_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Body fat percentage | body fat percentage | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003509/ScoringFiles/PGS003509.txt.gz |
| PGS003532 (cont-decay-log_fat_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body fat mass | fat pad mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003532/ScoringFiles/PGS003532.txt.gz |
| PGS003899 (INI23099) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Body fat percentage | body fat percentage | 34,374 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003899/ScoringFiles/PGS003899.txt.gz |
| PGS003900 (INI23100) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Whole body fat mass | fat pad mass | 33,555 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003900/ScoringFiles/PGS003900.txt.gz |
| PGS003904 (INI23106) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of whole body | body composition measurement | 42,265 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003904/ScoringFiles/PGS003904.txt.gz |
| PGS003905 (INI23107) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of leg (R) | body composition measurement | 38,218 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003905/ScoringFiles/PGS003905.txt.gz |
| PGS003906 (INI23108) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of leg (L) | body composition measurement | 36,063 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003906/ScoringFiles/PGS003906.txt.gz |
| PGS003907 (INI23109) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of arm (R) | body composition measurement | 35,455 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003907/ScoringFiles/PGS003907.txt.gz |
| PGS003908 (INI23110) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of arm (L) | body composition measurement | 36,052 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003908/ScoringFiles/PGS003908.txt.gz |
| PGS003909 (INI23111) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat percentage (R) | body fat percentage | 32,758 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003909/ScoringFiles/PGS003909.txt.gz |
| PGS003910 (INI23112) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat mass (R) | fat pad mass | 30,780 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003910/ScoringFiles/PGS003910.txt.gz |
| PGS003912 (INI23115) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat percentage (L) | body fat percentage | 33,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003912/ScoringFiles/PGS003912.txt.gz |
| PGS003913 (INI23116) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat mass (L) | fat pad mass | 30,794 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003913/ScoringFiles/PGS003913.txt.gz |
| PGS003915 (INI23119) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat percentage (R) | body fat percentage | 32,448 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003915/ScoringFiles/PGS003915.txt.gz |
| PGS003916 (INI23120) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat mass (R) | fat pad mass | 29,790 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003916/ScoringFiles/PGS003916.txt.gz |
| PGS003918 (INI23123) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat percentage (L) | body fat percentage | 32,450 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003918/ScoringFiles/PGS003918.txt.gz |
| PGS003919 (INI23124) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat mass (L) | fat pad mass | 29,392 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003919/ScoringFiles/PGS003919.txt.gz |
| PGS003921 (INI23127) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Trunk fat percentage | body fat percentage | 32,770 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003921/ScoringFiles/PGS003921.txt.gz |
| PGS003922 (INI23128) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Trunk fat mass | fat pad mass | 34,357 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003922/ScoringFiles/PGS003922.txt.gz |
| PGS004374 (X23099.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Body fat percentage | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004374/ScoringFiles/PGS004374.txt.gz |
| PGS004375 (X23100.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Whole body fat mass | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004375/ScoringFiles/PGS004375.txt.gz |
| PGS004385 (X23111.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat percentage (right) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004385/ScoringFiles/PGS004385.txt.gz |
| PGS004386 (X23112.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat mass (right) | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004386/ScoringFiles/PGS004386.txt.gz |
| PGS004389 (X23115.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat percentage (left) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004389/ScoringFiles/PGS004389.txt.gz |
| PGS004390 (X23116.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat mass (left) | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004390/ScoringFiles/PGS004390.txt.gz |
| PGS004393 (X23119.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat percentage (right) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004393/ScoringFiles/PGS004393.txt.gz |
| PGS004394 (X23120.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat mass (right) | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004394/ScoringFiles/PGS004394.txt.gz |
| PGS004397 (X23123.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat percentage (left) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004397/ScoringFiles/PGS004397.txt.gz |
| PGS004398 (X23124.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat mass (left) | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004398/ScoringFiles/PGS004398.txt.gz |
| PGS004401 (X23127.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Trunk fat percentage | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004401/ScoringFiles/PGS004401.txt.gz |
| PGS004402 (X23128.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Trunk fat mass | fat pad mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004402/ScoringFiles/PGS004402.txt.gz |
| PGS005233 (F2_Abdominal_Size) |
PGP000739 | Arehart CH et al. Nat Commun (2025) |
Abdominal size | body fat distribution | 710,487 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005233/ScoringFiles/PGS005233.txt.gz |
| PGS005234 (F3_Body_Size_and_Adipose_Distribution) |
PGP000739 | Arehart CH et al. Nat Commun (2025) |
Body size and adipose distribution | body weight, body fat distribution |
709,193 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005234/ScoringFiles/PGS005234.txt.gz |
| PGS005316 (BFM_PRS) |
PGP000766 | Türkmen D et al. Pharmacogenomics J (2024) |
Body fat mass | body fat distribution | 403 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005316/ScoringFiles/PGS005316.txt.gz |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM008244 | PGS001101 (GBE_INI23099) |
PSS005036| African Ancestry| 6,300 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.58609 [0.57069, 0.6015] Incremental R2 (full-covars): -0.00196 PGS R2 (no covariates): 0.00632 [0.00248, 0.01016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008245 | PGS001101 (GBE_INI23099) |
PSS005037| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.43955 [0.40434, 0.47477] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.03564 [0.01839, 0.05289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008246 | PGS001101 (GBE_INI23099) |
PSS005038| European Ancestry| 24,454 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.46731 [0.45827, 0.47636] Incremental R2 (full-covars): 0.0533 PGS R2 (no covariates): 0.04958 [0.04432, 0.05483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008247 | PGS001101 (GBE_INI23099) |
PSS005039| South Asian Ancestry| 7,645 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.56822 [0.5538, 0.58263] Incremental R2 (full-covars): 0.01844 PGS R2 (no covariates): 0.0265 [0.01948, 0.03351] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008248 | PGS001101 (GBE_INI23099) |
PSS005040| European Ancestry| 66,227 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.51245 [0.50718, 0.51771] Incremental R2 (full-covars): 0.05409 PGS R2 (no covariates): 0.05282 [0.04954, 0.05611] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008253 | PGS001102 (GBE_INI23123) |
PSS005145| European Ancestry| 66,244 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.51263 [0.50736, 0.5179] Incremental R2 (full-covars): 0.04899 PGS R2 (no covariates): 0.04847 [0.04531, 0.05163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008249 | PGS001102 (GBE_INI23123) |
PSS005141| African Ancestry| 6,301 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | Incremental R2 (full-covars): -3e-05 R²: 0.60446 [0.58951, 0.61941] PGS R2 (no covariates): 0.00397 [0.00092, 0.00702] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008250 | PGS001102 (GBE_INI23123) |
PSS005142| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.47666 [0.44242, 0.5109] Incremental R2 (full-covars): 0.00986 PGS R2 (no covariates): 0.03708 [0.01951, 0.05465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008251 | PGS001102 (GBE_INI23123) |
PSS005143| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.46034 [0.45125, 0.46943] Incremental R2 (full-covars): 0.05013 PGS R2 (no covariates): 0.04532 [0.04027, 0.05037] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008252 | PGS001102 (GBE_INI23123) |
PSS005144| South Asian Ancestry| 7,648 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.60959 [0.59609, 0.62308] Incremental R2 (full-covars): 0.02061 PGS R2 (no covariates): 0.02621 [0.01923, 0.03318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008256 | PGS001103 (GBE_INI23115) |
PSS005108| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.76237 [0.75721, 0.76752] Incremental R2 (full-covars): 0.02314 PGS R2 (no covariates): 0.01668 [0.01353, 0.01984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008254 | PGS001103 (GBE_INI23115) |
PSS005106| African Ancestry| 6,304 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.80234 [0.79373, 0.81095] Incremental R2 (full-covars): -0.00147 PGS R2 (no covariates): 0.0021 [-0.00012, 0.00432] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008255 | PGS001103 (GBE_INI23115) |
PSS005107| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.8031 [0.78638, 0.81982] Incremental R2 (full-covars): 2e-05 PGS R2 (no covariates): 0.01698 [0.00484, 0.02912] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008257 | PGS001103 (GBE_INI23115) |
PSS005109| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.82056 [0.81337, 0.82776] Incremental R2 (full-covars): 0.00571 PGS R2 (no covariates): 0.00973 [0.00541, 0.01406] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008258 | PGS001103 (GBE_INI23115) |
PSS005110| European Ancestry| 66,256 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.78472 [0.78184, 0.7876] Incremental R2 (full-covars): 0.02307 PGS R2 (no covariates): 0.02257 [0.02035, 0.02479] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008259 | PGS001104 (GBE_INI23111) |
PSS005086| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.78127 [0.77187, 0.79066] Incremental R2 (full-covars): -0.00315 PGS R2 (no covariates): 0.00173 [-0.00029, 0.00375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008260 | PGS001104 (GBE_INI23111) |
PSS005087| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.78811 [0.77028, 0.80593] Incremental R2 (full-covars): 0.00106 PGS R2 (no covariates): 0.01989 [0.00679, 0.03299] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008261 | PGS001104 (GBE_INI23111) |
PSS005088| European Ancestry| 24,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.74105 [0.73551, 0.74658] Incremental R2 (full-covars): 0.02472 PGS R2 (no covariates): 0.01874 [0.0154, 0.02207] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008262 | PGS001104 (GBE_INI23111) |
PSS005089| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.7979 [0.78991, 0.80589] Incremental R2 (full-covars): 0.00504 PGS R2 (no covariates): 0.00957 [0.00528, 0.01386] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008263 | PGS001104 (GBE_INI23111) |
PSS005090| European Ancestry| 66,260 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.7638 [0.76069, 0.76692] Incremental R2 (full-covars): 0.02467 PGS R2 (no covariates): 0.02454 [0.02223, 0.02685] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008264 | PGS001105 (GBE_INI23127) |
PSS005161| African Ancestry| 6,299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.33345 [0.31474, 0.35216] Incremental R2 (full-covars): -0.0012 PGS R2 (no covariates): 0.01046 [0.00554, 0.01538] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008265 | PGS001105 (GBE_INI23127) |
PSS005162| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.13249 [0.10257, 0.16242] Incremental R2 (full-covars): 0.02072 PGS R2 (no covariates): 0.03925 [0.02121, 0.05729] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008266 | PGS001105 (GBE_INI23127) |
PSS005163| European Ancestry| 24,452 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.23391 [0.22471, 0.24311] Incremental R2 (full-covars): 0.07149 PGS R2 (no covariates): 0.07404 [0.06778, 0.0803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008267 | PGS001105 (GBE_INI23127) |
PSS005164| South Asian Ancestry| 7,646 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.26434 [0.2476, 0.28109] Incremental R2 (full-covars): 0.03313 PGS R2 (no covariates): 0.04146 [0.03282, 0.05011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008268 | PGS001105 (GBE_INI23127) |
PSS005165| European Ancestry| 66,224 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.26796 [0.26224, 0.27368] Incremental R2 (full-covars): 0.07557 PGS R2 (no covariates): 0.07501 [0.07118, 0.07883] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008269 | PGS001106 (GBE_INI23119) |
PSS005121| African Ancestry| 6,302 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.61876 [0.60418, 0.63333] Incremental R2 (full-covars): 0.0012 PGS R2 (no covariates): 0.00365 [0.00072, 0.00657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008270 | PGS001106 (GBE_INI23119) |
PSS005122| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.46296 [0.42833, 0.49759] Incremental R2 (full-covars): 0.00917 PGS R2 (no covariates): 0.03415 [0.01724, 0.05107] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008271 | PGS001106 (GBE_INI23119) |
PSS005123| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.45741 [0.4483, 0.46653] Incremental R2 (full-covars): 0.04769 PGS R2 (no covariates): 0.04324 [0.03829, 0.04818] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008272 | PGS001106 (GBE_INI23119) |
PSS005124| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.62976 [0.61675, 0.64277] Incremental R2 (full-covars): 0.0194 PGS R2 (no covariates): 0.02347 [0.01685, 0.0301] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008273 | PGS001106 (GBE_INI23119) |
PSS005125| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.5084 [0.50311, 0.51369] Incremental R2 (full-covars): 0.04751 PGS R2 (no covariates): 0.04648 [0.04338, 0.04959] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008447 | PGS001144 (GBE_INI23124) |
PSS005146| African Ancestry| 6,301 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (L) | — | — | R²: 0.19829 [0.18093, 0.21564] Incremental R2 (full-covars): 0.01056 PGS R2 (no covariates): 0.0115 [0.00635, 0.01665] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008448 | PGS001144 (GBE_INI23124) |
PSS005147| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (L) | — | — | R²: 0.10217 [0.07498, 0.12937] Incremental R2 (full-covars): 0.01559 PGS R2 (no covariates): 0.04382 [0.02485, 0.06278] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008449 | PGS001144 (GBE_INI23124) |
PSS005148| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (L) | — | — | R²: 0.11004 [0.10271, 0.11737] Incremental R2 (full-covars): 0.07159 PGS R2 (no covariates): 0.07386 [0.06761, 0.08012] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008450 | PGS001144 (GBE_INI23124) |
PSS005149| South Asian Ancestry| 7,647 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (L) | — | — | R²: 0.16359 [0.14861, 0.17857] Incremental R2 (full-covars): 0.04415 PGS R2 (no covariates): 0.04982 [0.04043, 0.05921] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008451 | PGS001144 (GBE_INI23124) |
PSS005150| European Ancestry| 66,237 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (L) | — | — | R²: 0.1322 [0.12743, 0.13696] Incremental R2 (full-covars): 0.07627 PGS R2 (no covariates): 0.07725 [0.07338, 0.08112] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008452 | PGS001145 (GBE_INI23120) |
PSS005126| African Ancestry| 6,302 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (R) | — | — | R²: 0.20498 [0.18748, 0.22247] Incremental R2 (full-covars): 0.0099 PGS R2 (no covariates): 0.01125 [0.00615, 0.01635] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008453 | PGS001145 (GBE_INI23120) |
PSS005127| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (R) | — | — | R²: 0.1096 [0.08166, 0.13753] Incremental R2 (full-covars): 0.02033 PGS R2 (no covariates): 0.04736 [0.02771, 0.06701] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008454 | PGS001145 (GBE_INI23120) |
PSS005128| European Ancestry| 24,456 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (R) | — | — | R²: 0.11299 [0.10558, 0.12039] Incremental R2 (full-covars): 0.07263 PGS R2 (no covariates): 0.07483 [0.06855, 0.08112] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008455 | PGS001145 (GBE_INI23120) |
PSS005129| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (R) | — | — | R²: 0.1687 [0.15358, 0.18381] Incremental R2 (full-covars): 0.04455 PGS R2 (no covariates): 0.04978 [0.04039, 0.05916] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008456 | PGS001145 (GBE_INI23120) |
PSS005130| European Ancestry| 66,249 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat mass (R) | — | — | R²: 0.13668 [0.13186, 0.1415] Incremental R2 (full-covars): 0.07881 PGS R2 (no covariates): 0.07963 [0.07571, 0.08355] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008459 | PGS001146 (GBE_INI23121) |
PSS005133| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (R) | — | — | R²: 0.76277 [0.75762, 0.76791] Incremental R2 (full-covars): 0.03623 PGS R2 (no covariates): 0.03786 [0.03321, 0.04251] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008457 | PGS001146 (GBE_INI23121) |
PSS005131| African Ancestry| 6,302 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (R) | — | — | R²: 0.64816 [0.63439, 0.66193] Incremental R2 (full-covars): 0.00971 PGS R2 (no covariates): 0.01621 [0.01012, 0.02229] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008458 | PGS001146 (GBE_INI23121) |
PSS005132| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (R) | — | — | R²: 0.75781 [0.73783, 0.77779] Incremental R2 (full-covars): 0.0021 PGS R2 (no covariates): 0.01403 [0.00296, 0.0251] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008460 | PGS001146 (GBE_INI23121) |
PSS005134| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (R) | — | — | R²: 0.70823 [0.69735, 0.7191] Incremental R2 (full-covars): 0.02714 PGS R2 (no covariates): 0.018 [0.01216, 0.02383] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008461 | PGS001146 (GBE_INI23121) |
PSS005135| European Ancestry| 66,249 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (R) | — | — | R²: 0.75647 [0.75327, 0.75966] Incremental R2 (full-covars): 0.0401 PGS R2 (no covariates): 0.04083 [0.03791, 0.04376] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008462 | PGS001147 (GBE_INI23112) |
PSS005091| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.43888 [0.42081, 0.45695] Incremental R2 (full-covars): 0.00478 PGS R2 (no covariates): 0.00647 [0.00258, 0.01035] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008463 | PGS001147 (GBE_INI23112) |
PSS005092| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.46789 [0.43339, 0.50238] Incremental R2 (full-covars): -0.00071 PGS R2 (no covariates): 0.03169 [0.01535, 0.04803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008464 | PGS001147 (GBE_INI23112) |
PSS005093| European Ancestry| 24,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.34025 [0.33069, 0.34981] Incremental R2 (full-covars): 0.05666 PGS R2 (no covariates): 0.05548 [0.04995, 0.061] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008465 | PGS001147 (GBE_INI23112) |
PSS005094| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.44907 [0.43273, 0.46542] Incremental R2 (full-covars): 0.02496 PGS R2 (no covariates): 0.03286 [0.0251, 0.04063] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008466 | PGS001147 (GBE_INI23112) |
PSS005095| European Ancestry| 66,259 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.37892 [0.37315, 0.38469] Incremental R2 (full-covars): 0.06155 PGS R2 (no covariates): 0.0616 [0.05808, 0.06511] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008467 | PGS001148 (GBE_INI23128) |
PSS005166| African Ancestry| 6,299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat mass | — | — | R²: 0.07784 [0.06534, 0.09035] Incremental R2 (full-covars): 0.00763 PGS R2 (no covariates): 0.01681 [0.01061, 0.023] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008468 | PGS001148 (GBE_INI23128) |
PSS005167| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat mass | — | — | R²: 0.08471 [0.05946, 0.10995] Incremental R2 (full-covars): 0.02256 PGS R2 (no covariates): 0.04289 [0.0241, 0.06167] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008469 | PGS001148 (GBE_INI23128) |
PSS005168| European Ancestry| 24,450 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat mass | — | — | R²: 0.12525 [0.11756, 0.13293] Incremental R2 (full-covars): 0.09644 PGS R2 (no covariates): 0.10468 [0.09748, 0.11187] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008470 | PGS001148 (GBE_INI23128) |
PSS005169| South Asian Ancestry| 7,646 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat mass | — | — | R²: 0.08664 [0.07474, 0.09855] Incremental R2 (full-covars): 0.06072 PGS R2 (no covariates): 0.06279 [0.05239, 0.07318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008471 | PGS001148 (GBE_INI23128) |
PSS005170| European Ancestry| 66,220 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat mass | — | — | R²: 0.11749 [0.11293, 0.12206] Incremental R2 (full-covars): 0.1078 PGS R2 (no covariates): 0.10871 [0.10428, 0.11315] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008475 | PGS001149 (GBE_INI23100) |
PSS005044| South Asian Ancestry| 7,639 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.17436 [0.1591, 0.18963] Incremental R2 (full-covars): 0.05377 PGS R2 (no covariates): 0.06028 [0.05006, 0.07049] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008472 | PGS001149 (GBE_INI23100) |
PSS005041| African Ancestry| 6,294 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.22098 [0.20318, 0.23878] Incremental R2 (full-covars): 0.00715 PGS R2 (no covariates): 0.01342 [0.00786, 0.01897] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008473 | PGS001149 (GBE_INI23100) |
PSS005042| East Asian Ancestry| 1,667 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.10565 [0.0781, 0.1332] Incremental R2 (full-covars): 0.01419 PGS R2 (no covariates): 0.04325 [0.0244, 0.06211] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008474 | PGS001149 (GBE_INI23100) |
PSS005043| European Ancestry| 24,422 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.1432 [0.13515, 0.15125] Incremental R2 (full-covars): 0.08949 PGS R2 (no covariates): 0.09358 [0.08669, 0.10047] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008476 | PGS001149 (GBE_INI23100) |
PSS005045| European Ancestry| 66,165 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.16366 [0.15856, 0.16877] Incremental R2 (full-covars): 0.09847 PGS R2 (no covariates): 0.09893 [0.09465, 0.10321] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008492 | PGS001154 (GBE_INI23110) |
PSS005081| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.40184 [0.38341, 0.42027] Incremental R2 (full-covars): 0.00929 PGS R2 (no covariates): 0.01779 [0.01142, 0.02415] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008493 | PGS001154 (GBE_INI23110) |
PSS005082| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.57437 [0.5438, 0.60494] Incremental R2 (full-covars): 0.01873 PGS R2 (no covariates): 0.01902 [0.0062, 0.03184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008494 | PGS001154 (GBE_INI23110) |
PSS005083| European Ancestry| 24,474 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.57497 [0.56697, 0.58297] Incremental R2 (full-covars): 0.0528 PGS R2 (no covariates): 0.05187 [0.0465, 0.05723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008495 | PGS001154 (GBE_INI23110) |
PSS005084| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.53183 [0.51672, 0.54695] Incremental R2 (full-covars): 0.03819 PGS R2 (no covariates): 0.03481 [0.02684, 0.04279] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008496 | PGS001154 (GBE_INI23110) |
PSS005085| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.58392 [0.57912, 0.58872] Incremental R2 (full-covars): 0.05546 PGS R2 (no covariates): 0.05563 [0.05227, 0.05899] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008497 | PGS001155 (GBE_INI23108) |
PSS005071| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.09719 [0.08351, 0.11087] Incremental R2 (full-covars): 0.01992 PGS R2 (no covariates): 0.0278 [0.01992, 0.03567] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008498 | PGS001155 (GBE_INI23108) |
PSS005072| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.31023 [0.27382, 0.34664] Incremental R2 (full-covars): 0.0341 PGS R2 (no covariates): 0.0409 [0.02252, 0.05928] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008499 | PGS001155 (GBE_INI23108) |
PSS005073| European Ancestry| 24,474 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.28199 [0.27252, 0.29146] Incremental R2 (full-covars): 0.09762 PGS R2 (no covariates): 0.09753 [0.09054, 0.10453] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008500 | PGS001155 (GBE_INI23108) |
PSS005074| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.20912 [0.1931, 0.22513] Incremental R2 (full-covars): 0.07366 PGS R2 (no covariates): 0.07706 [0.06572, 0.0884] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008501 | PGS001155 (GBE_INI23108) |
PSS005075| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.284 [0.27824, 0.28976] Incremental R2 (full-covars): 0.10535 PGS R2 (no covariates): 0.10691 [0.1025, 0.11132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008502 | PGS001156 (GBE_INI23109) |
PSS005076| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.39048 [0.37197, 0.40899] Incremental R2 (full-covars): 0.00926 PGS R2 (no covariates): 0.01716 [0.0109, 0.02342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008503 | PGS001156 (GBE_INI23109) |
PSS005077| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.54175 [0.50979, 0.57371] Incremental R2 (full-covars): 0.0153 PGS R2 (no covariates): 0.02132 [0.00778, 0.03486] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008504 | PGS001156 (GBE_INI23109) |
PSS005078| European Ancestry| 24,473 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.57975 [0.5718, 0.58769] Incremental R2 (full-covars): 0.05372 PGS R2 (no covariates): 0.0533 [0.04787, 0.05873] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008505 | PGS001156 (GBE_INI23109) |
PSS005079| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.53386 [0.51878, 0.54894] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.03083 [0.02329, 0.03836] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008506 | PGS001156 (GBE_INI23109) |
PSS005080| European Ancestry| 66,307 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.57547 [0.57061, 0.58033] Incremental R2 (full-covars): 0.05379 PGS R2 (no covariates): 0.05414 [0.05082, 0.05746] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008507 | PGS001157 (GBE_INI23107) |
PSS005066| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.10262 [0.08864, 0.11659] Incremental R2 (full-covars): 0.02186 PGS R2 (no covariates): 0.02948 [0.02138, 0.03758] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008508 | PGS001157 (GBE_INI23107) |
PSS005067| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.29891 [0.26259, 0.33523] Incremental R2 (full-covars): 0.03502 PGS R2 (no covariates): 0.04108 [0.02267, 0.0595] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008509 | PGS001157 (GBE_INI23107) |
PSS005068| European Ancestry| 24,475 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.28612 [0.27664, 0.2956] Incremental R2 (full-covars): 0.09428 PGS R2 (no covariates): 0.09552 [0.08858, 0.10246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008510 | PGS001157 (GBE_INI23107) |
PSS005069| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.21686 [0.20071, 0.23301] Incremental R2 (full-covars): 0.07215 PGS R2 (no covariates): 0.07533 [0.06409, 0.08656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008511 | PGS001157 (GBE_INI23107) |
PSS005070| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.29573 [0.28995, 0.30151] Incremental R2 (full-covars): 0.10489 PGS R2 (no covariates): 0.10727 [0.10286, 0.11169] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008512 | PGS001158 (GBE_INI23118) |
PSS005116| African Ancestry| 6,303 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.54551 [0.52919, 0.56183] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.01474 [0.00892, 0.02055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008513 | PGS001158 (GBE_INI23118) |
PSS005117| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | Incremental R2 (full-covars): 0.00295 R²: 0.73419 [0.71261, 0.75577] PGS R2 (no covariates): 0.01537 [0.0038, 0.02694] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008514 | PGS001158 (GBE_INI23118) |
PSS005118| European Ancestry| 24,460 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.70945 [0.70337, 0.71553] Incremental R2 (full-covars): 0.04284 PGS R2 (no covariates): 0.04473 [0.03971, 0.04975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008515 | PGS001158 (GBE_INI23118) |
PSS005119| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.66073 [0.64852, 0.67294] Incremental R2 (full-covars): 0.03274 PGS R2 (no covariates): 0.02543 [0.01855, 0.03231] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008516 | PGS001158 (GBE_INI23118) |
PSS005120| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.7033 [0.69954, 0.70705] Incremental R2 (full-covars): 0.0494 PGS R2 (no covariates): 0.04898 [0.0458, 0.05216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008517 | PGS001159 (GBE_INI23114) |
PSS005101| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.55037 [0.53416, 0.56658] Incremental R2 (full-covars): 0.00902 PGS R2 (no covariates): 0.01506 [0.00918, 0.02093] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008518 | PGS001159 (GBE_INI23114) |
PSS005102| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.73877 [0.71749, 0.76005] Incremental R2 (full-covars): 0.00137 PGS R2 (no covariates): 0.01373 [0.00278, 0.02468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008519 | PGS001159 (GBE_INI23114) |
PSS005103| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.71438 [0.70839, 0.72038] Incremental R2 (full-covars): 0.04346 PGS R2 (no covariates): 0.04404 [0.03906, 0.04902] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008520 | PGS001159 (GBE_INI23114) |
PSS005104| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | Incremental R2 (full-covars): 0.03277 R²: 0.66736 [0.65533, 0.67939] PGS R2 (no covariates): 0.02632 [0.01932, 0.03331] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008521 | PGS001159 (GBE_INI23114) |
PSS005105| European Ancestry| 66,257 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.70913 [0.70543, 0.71283] Incremental R2 (full-covars): 0.04958 PGS R2 (no covariates): 0.04812 [0.04497, 0.05127] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008522 | PGS001160 (GBE_INI23130) |
PSS005176| African Ancestry| 6,298 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.60813 [0.59327, 0.62298] Incremental R2 (full-covars): 0.01103 PGS R2 (no covariates): 0.01817 [0.01174, 0.0246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008523 | PGS001160 (GBE_INI23130) |
PSS005177| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.74648 [0.72572, 0.76724] Incremental R2 (full-covars): 0.01277 PGS R2 (no covariates): 0.02185 [0.00815, 0.03555] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008524 | PGS001160 (GBE_INI23130) |
PSS005178| European Ancestry| 24,444 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.76821 [0.76317, 0.77326] Incremental R2 (full-covars): 0.04598 PGS R2 (no covariates): 0.04582 [0.04074, 0.05089] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008525 | PGS001160 (GBE_INI23130) |
PSS005179| South Asian Ancestry| 7,642 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.69886 [0.68771, 0.71] Incremental R2 (full-covars): 0.03651 PGS R2 (no covariates): 0.03063 [0.02312, 0.03815] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008526 | PGS001160 (GBE_INI23130) |
PSS005180| European Ancestry| 66,204 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.7731 [0.77009, 0.77611] Incremental R2 (full-covars): 0.05059 PGS R2 (no covariates): 0.05155 [0.0483, 0.0548] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008527 | PGS001161 (GBE_INI23106) |
PSS005061| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.29554 [0.27692, 0.31415] Incremental R2 (full-covars): 0.01724 PGS R2 (no covariates): 0.02715 [0.01936, 0.03494] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008528 | PGS001161 (GBE_INI23106) |
PSS005062| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.51675 [0.48383, 0.54967] Incremental R2 (full-covars): 0.02489 PGS R2 (no covariates): 0.02929 [0.01355, 0.04503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008529 | PGS001161 (GBE_INI23106) |
PSS005063| European Ancestry| 24,471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.50936 [0.50067, 0.51806] Incremental R2 (full-covars): 0.07566 PGS R2 (no covariates): 0.07383 [0.06758, 0.08008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008530 | PGS001161 (GBE_INI23106) |
PSS005064| South Asian Ancestry| 7,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.44125 [0.42482, 0.45769] Incremental R2 (full-covars): 0.05615 PGS R2 (no covariates): 0.05272 [0.04309, 0.06235] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008531 | PGS001161 (GBE_INI23106) |
PSS005065| European Ancestry| 66,304 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.51927 [0.51404, 0.5245] Incremental R2 (full-covars): 0.08047 PGS R2 (no covariates): 0.08089 [0.07694, 0.08483] |
age, sex, UKB array type, Genotype PCs | — |
| 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 | — |
| PPM010483 | PGS001951 (portability-PLR_log_fat_mass) |
PSS009444| European Ancestry| 19,612 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3534 [0.3411, 0.3656] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010484 | PGS001951 (portability-PLR_log_fat_mass) |
PSS009218| European Ancestry| 4,065 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3489 [0.3215, 0.3757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010485 | PGS001951 (portability-PLR_log_fat_mass) |
PSS008772| European Ancestry| 6,519 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3257 [0.3038, 0.3473] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010486 | PGS001951 (portability-PLR_log_fat_mass) |
PSS008546| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.2949 [0.2407, 0.3472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010487 | PGS001951 (portability-PLR_log_fat_mass) |
PSS008324| South Asian Ancestry| 6,173 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.292 [0.2689, 0.3146] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010489 | PGS001951 (portability-PLR_log_fat_mass) |
PSS007888| African Ancestry| 2,418 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.1615 [0.1223, 0.2002] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010490 | PGS001951 (portability-PLR_log_fat_mass) |
PSS008992| African Ancestry| 3,794 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.141 [0.1096, 0.1722] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010488 | PGS001951 (portability-PLR_log_fat_mass) |
PSS008101| East Asian Ancestry| 1,766 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.2477 [0.2031, 0.2912] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM011919 | PGS002133 (portability-ldpred2_fat_perc) |
PSS009405| European Ancestry| 19,632 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3443 [0.3319, 0.3566] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011920 | PGS002133 (portability-ldpred2_fat_perc) |
PSS009179| European Ancestry| 4,073 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3456 [0.3182, 0.3724] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011921 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008733| European Ancestry| 6,533 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3256 [0.3037, 0.3472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011922 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008507| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2896 [0.2353, 0.3421] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011923 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008285| South Asian Ancestry| 6,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.273 [0.2497, 0.2959] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011924 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008062| East Asian Ancestry| 1,779 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2302 [0.1854, 0.274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011925 | PGS002133 (portability-ldpred2_fat_perc) |
PSS007849| African Ancestry| 2,418 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.153 [0.1136, 0.1918] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011926 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008953| African Ancestry| 3,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.1577 [0.1265, 0.1887] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM020884 | PGS002133 (portability-ldpred2_fat_perc) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.13 [0.94, 1.37] | — | — | — | — |
| PPM020899 | PGS002133 (portability-ldpred2_fat_perc) |
PSS011441| African Ancestry| 504 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 0.94 [0.76, 1.15] | — | — | — | — |
| PPM012199 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS009444| European Ancestry| 19,612 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3489 [0.3366, 0.3612] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012201 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS008772| European Ancestry| 6,519 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3303 [0.3085, 0.3518] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012202 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS008546| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.2893 [0.2349, 0.3418] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012203 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS008324| South Asian Ancestry| 6,173 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.2913 [0.2683, 0.314] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012204 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS008101| East Asian Ancestry| 1,766 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.2544 [0.21, 0.2978] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012205 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS007888| African Ancestry| 2,418 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.1745 [0.1355, 0.2131] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012206 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS008992| African Ancestry| 3,794 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.147 [0.1156, 0.1781] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012200 | PGS002169 (portability-ldpred2_log_fat_mass) |
PSS009218| European Ancestry| 4,065 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat mass | — | — | Partial Correlation (partial-r): 0.3562 [0.329, 0.3828] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM017437 | PGS003509 (cont-decay-fat_perc) |
PSS010871| European Ancestry| 19,650 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017521 | PGS003509 (cont-decay-fat_perc) |
PSS010787| European Ancestry| 4,063 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017605 | PGS003509 (cont-decay-fat_perc) |
PSS010619| European Ancestry| 6,371 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017689 | PGS003509 (cont-decay-fat_perc) |
PSS010535| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017773 | PGS003509 (cont-decay-fat_perc) |
PSS010199| European Ancestry| 2,315 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017857 | PGS003509 (cont-decay-fat_perc) |
PSS010451| South Asian Ancestry| 6,129 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018025 | PGS003509 (cont-decay-fat_perc) |
PSS010283| African Ancestry| 2,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018109 | PGS003509 (cont-decay-fat_perc) |
PSS010703| African Ancestry| 3,771 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017941 | PGS003509 (cont-decay-fat_perc) |
PSS010367| East Asian Ancestry| 1,767 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017460 | PGS003532 (cont-decay-log_fat_mass) |
PSS010896| European Ancestry| 19,633 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017544 | PGS003532 (cont-decay-log_fat_mass) |
PSS010812| European Ancestry| 4,055 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017628 | PGS003532 (cont-decay-log_fat_mass) |
PSS010644| European Ancestry| 6,357 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017712 | PGS003532 (cont-decay-log_fat_mass) |
PSS010560| Greater Middle Eastern Ancestry| 1,121 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017796 | PGS003532 (cont-decay-log_fat_mass) |
PSS010224| European Ancestry| 2,313 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017880 | PGS003532 (cont-decay-log_fat_mass) |
PSS010476| South Asian Ancestry| 6,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017964 | PGS003532 (cont-decay-log_fat_mass) |
PSS010392| East Asian Ancestry| 1,754 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018048 | PGS003532 (cont-decay-log_fat_mass) |
PSS010308| African Ancestry| 2,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018132 | PGS003532 (cont-decay-log_fat_mass) |
PSS010728| African Ancestry| 3,766 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018814 | PGS003899 (INI23099) |
PSS011129| European Ancestry| 66,584 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.51746 [0.51223, 0.52269] PGS R2 (no covariates): 0.05601 [0.05265, 0.05938] Incremental R2 (full-covars): 0.05783 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018815 | PGS003899 (INI23099) |
PSS011106| European Ancestry| 2,836 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.49108 [0.46513, 0.51704] PGS R2 (no covariates): 0.06034 [0.04354, 0.07714] Incremental R2 (full-covars): 0.06709 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018816 | PGS003899 (INI23099) |
PSS011116| South Asian Ancestry| 1,455 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.60374 [0.57251, 0.63497] PGS R2 (no covariates): 0.04598 [0.02523, 0.06673] Incremental R2 (full-covars): 0.03132 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018817 | PGS003899 (INI23099) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.5945 [0.55941, 0.62959] PGS R2 (no covariates): 0.00973 [-0.00123, 0.02069] Incremental R2 (full-covars): -0.01506 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018818 | PGS003899 (INI23099) |
PSS011165| Multi-ancestry (excluding European)| 7,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.47607 [0.46025, 0.4919] PGS R2 (no covariates): 0.05911 [0.0491, 0.06913] Incremental R2 (full-covars): 0.04525 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018819 | PGS003900 (INI23100) |
PSS011125| European Ancestry| 66,530 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat mass | — | — | R²: 0.17244 [0.16727, 0.17762] PGS R2 (no covariates): 0.1047 [0.10033, 0.10906] Incremental R2 (full-covars): 0.10407 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018820 | PGS003900 (INI23100) |
PSS011107| European Ancestry| 2,833 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat mass | — | — | R²: 0.15896 [0.13456, 0.18336] PGS R2 (no covariates): 0.11465 [0.09283, 0.13646] Incremental R2 (full-covars): 0.1146 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018821 | PGS003900 (INI23100) |
PSS011115| South Asian Ancestry| 1,452 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat mass | — | — | R²: 0.21253 [0.17571, 0.24935] PGS R2 (no covariates): 0.09752 [0.06894, 0.1261] Incremental R2 (full-covars): 0.07719 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018823 | PGS003900 (INI23100) |
PSS011164| Multi-ancestry (excluding European)| 7,824 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat mass | — | — | R²: 0.17428 [0.15919, 0.18938] PGS R2 (no covariates): 0.10059 [0.0881, 0.11308] Incremental R2 (full-covars): 0.08234 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018822 | PGS003900 (INI23100) |
PSS011156| African Ancestry| 1,166 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat mass | — | — | R²: 0.15685 [0.11937, 0.19432] PGS R2 (no covariates): 0.01295 [0.00035, 0.02556] Incremental R2 (full-covars): -0.04775 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018839 | PGS003904 (INI23106) |
PSS011124| European Ancestry| 66,607 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.52234 [0.51714, 0.52754] PGS R2 (no covariates): 0.08468 [0.08067, 0.08869] Incremental R2 (full-covars): 0.08345 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018840 | PGS003904 (INI23106) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.50682 [0.48127, 0.53237] PGS R2 (no covariates): 0.08188 [0.06276, 0.101] Incremental R2 (full-covars): 0.08098 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018842 | PGS003904 (INI23106) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.27918 [0.23643, 0.32192] PGS R2 (no covariates): 0.02692 [0.009, 0.04483] Incremental R2 (full-covars): 0.02486 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018843 | PGS003904 (INI23106) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.49232 [0.47672, 0.50792] PGS R2 (no covariates): 0.05296 [0.04342, 0.06251] Incremental R2 (full-covars): 0.051 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018841 | PGS003904 (INI23106) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.41749 [0.37932, 0.45566] PGS R2 (no covariates): 0.05569 [0.03309, 0.07829] Incremental R2 (full-covars): 0.05788 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018844 | PGS003905 (INI23107) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.30322 [0.29744, 0.309] PGS R2 (no covariates): 0.11129 [0.10682, 0.11575] Incremental R2 (full-covars): 0.11033 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018845 | PGS003905 (INI23107) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.29712 [0.26924, 0.325] PGS R2 (no covariates): 0.10545 [0.08431, 0.12659] Incremental R2 (full-covars): 0.10793 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018846 | PGS003905 (INI23107) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.18556 [0.14998, 0.22114] PGS R2 (no covariates): 0.07372 [0.04821, 0.09923] Incremental R2 (full-covars): 0.07276 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018847 | PGS003905 (INI23107) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.07294 [0.04484, 0.10104] PGS R2 (no covariates): 0.01761 [0.00298, 0.03224] Incremental R2 (full-covars): 0.0172 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018848 | PGS003905 (INI23107) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.282 [0.2653, 0.29869] PGS R2 (no covariates): 0.07892 [0.06759, 0.09025] Incremental R2 (full-covars): 0.06951 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018849 | PGS003906 (INI23108) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.29131 [0.28554, 0.29707] PGS R2 (no covariates): 0.11128 [0.10682, 0.11575] Incremental R2 (full-covars): 0.1103 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018850 | PGS003906 (INI23108) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.28648 [0.25868, 0.31427] PGS R2 (no covariates): 0.10226 [0.08137, 0.12316] Incremental R2 (full-covars): 0.10474 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018851 | PGS003906 (INI23108) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.19957 [0.1633, 0.23583] PGS R2 (no covariates): 0.08533 [0.05823, 0.11242] Incremental R2 (full-covars): 0.08283 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018852 | PGS003906 (INI23108) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.07203 [0.04408, 0.09998] PGS R2 (no covariates): 0.02151 [0.0054, 0.03762] Incremental R2 (full-covars): 0.0219 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018853 | PGS003906 (INI23108) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.27848 [0.26181, 0.29515] PGS R2 (no covariates): 0.08259 [0.07104, 0.09413] Incremental R2 (full-covars): 0.07424 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018854 | PGS003907 (INI23109) |
PSS011122| European Ancestry| 66,610 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.57729 [0.57246, 0.58213] PGS R2 (no covariates): 0.05608 [0.05271, 0.05945] Incremental R2 (full-covars): 0.05556 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018855 | PGS003907 (INI23109) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.58628 [0.56322, 0.60933] PGS R2 (no covariates): 0.05833 [0.04177, 0.07488] Incremental R2 (full-covars): 0.05518 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018856 | PGS003907 (INI23109) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.52227 [0.48726, 0.55729] PGS R2 (no covariates): 0.03782 [0.01884, 0.0568] Incremental R2 (full-covars): 0.04181 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018857 | PGS003907 (INI23109) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.36871 [0.32569, 0.41173] Incremental R2 (full-covars): 0.01718 PGS R2 (no covariates): 0.02183 [0.00561, 0.03804] |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018858 | PGS003907 (INI23109) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.57591 [0.56182, 0.59] PGS R2 (no covariates): 0.04377 [0.03501, 0.05253] Incremental R2 (full-covars): 0.0406 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018859 | PGS003908 (INI23110) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.5866 [0.58183, 0.59137] PGS R2 (no covariates): 0.0592 [0.05575, 0.06264] Incremental R2 (full-covars): 0.05807 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018860 | PGS003908 (INI23110) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.58205 [0.55884, 0.60526] PGS R2 (no covariates): 0.05843 [0.04186, 0.07499] Incremental R2 (full-covars): 0.05408 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018861 | PGS003908 (INI23110) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.52117 [0.48611, 0.55622] PGS R2 (no covariates): 0.04856 [0.0273, 0.06983] Incremental R2 (full-covars): 0.04761 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018862 | PGS003908 (INI23110) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.39016 [0.34741, 0.43291] PGS R2 (no covariates): 0.02085 [0.00498, 0.03672] Incremental R2 (full-covars): 0.0167 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018863 | PGS003908 (INI23110) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.57525 [0.56114, 0.58935] PGS R2 (no covariates): 0.04258 [0.03393, 0.05123] Incremental R2 (full-covars): 0.04258 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018864 | PGS003909 (INI23111) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.76654 [0.76347, 0.76962] PGS R2 (no covariates): 0.02481 [0.02249, 0.02712] Incremental R2 (full-covars): 0.02626 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018865 | PGS003909 (INI23111) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.75264 [0.73703, 0.76826] PGS R2 (no covariates): 0.02118 [0.01081, 0.03155] Incremental R2 (full-covars): 0.031 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018866 | PGS003909 (INI23111) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.79999 [0.78185, 0.81814] PGS R2 (no covariates): 0.01403 [0.00219, 0.02587] Incremental R2 (full-covars): 0.01075 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018867 | PGS003909 (INI23111) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.7946 [0.77405, 0.81515] PGS R2 (no covariates): 0.00591 [-0.00267, 0.01448] Incremental R2 (full-covars): -0.00577 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018868 | PGS003909 (INI23111) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.7457 [0.73608, 0.75532] PGS R2 (no covariates): 0.02078 [0.0146, 0.02696] Incremental R2 (full-covars): 0.018 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018869 | PGS003910 (INI23112) |
PSS011121| European Ancestry| 66,612 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (right) | — | — | R²: 0.3861 [0.38036, 0.39185] PGS R2 (no covariates): 0.06466 [0.06108, 0.06824] Incremental R2 (full-covars): 0.06497 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018870 | PGS003910 (INI23112) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (right) | — | — | R²: 0.35972 [0.33178, 0.38767] PGS R2 (no covariates): 0.0599 [0.04316, 0.07665] Incremental R2 (full-covars): 0.07014 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018871 | PGS003910 (INI23112) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (right) | — | — | R²: 0.46851 [0.43161, 0.5054] PGS R2 (no covariates): 0.05268 [0.03063, 0.07474] Incremental R2 (full-covars): 0.03815 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018872 | PGS003910 (INI23112) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (right) | — | — | R²: 0.41827 [0.37605, 0.46049] PGS R2 (no covariates): 0.00758 [-0.00212, 0.01727] Incremental R2 (full-covars): -0.02564 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018873 | PGS003910 (INI23112) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (right) | — | — | R²: 0.37114 [0.35436, 0.38791] PGS R2 (no covariates): 0.06443 [0.05403, 0.07483] Incremental R2 (full-covars): 0.04941 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018879 | PGS003912 (INI23115) |
PSS011123| European Ancestry| 66,609 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.78716 [0.78432, 0.79001] PGS R2 (no covariates): 0.02265 [0.02044, 0.02487] Incremental R2 (full-covars): 0.02424 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018880 | PGS003912 (INI23115) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.77429 [0.75983, 0.78874] PGS R2 (no covariates): 0.01845 [0.00874, 0.02815] Incremental R2 (full-covars): 0.02867 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018881 | PGS003912 (INI23115) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.83462 [0.81929, 0.84994] PGS R2 (no covariates): 0.01713 [0.00409, 0.03018] Incremental R2 (full-covars): 0.01262 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018882 | PGS003912 (INI23115) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.81111 [0.79202, 0.8302] PGS R2 (no covariates): 0.00463 [-0.00297, 0.01223] Incremental R2 (full-covars): -0.0031 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018883 | PGS003912 (INI23115) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.76995 [0.76111, 0.77879] PGS R2 (no covariates): 0.0179 [0.01214, 0.02365] Incremental R2 (full-covars): 0.01686 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018884 | PGS003913 (INI23116) |
PSS011123| European Ancestry| 66,609 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (left) | — | — | R²: 0.39741 [0.39168, 0.40313] PGS R2 (no covariates): 0.06313 [0.05959, 0.06668] Incremental R2 (full-covars): 0.06377 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018885 | PGS003913 (INI23116) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (left) | — | — | R²: 0.37246 [0.34459, 0.40033] PGS R2 (no covariates): 0.05784 [0.04135, 0.07433] Incremental R2 (full-covars): 0.06889 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018886 | PGS003913 (INI23116) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (left) | — | — | R²: 0.49254 [0.45642, 0.52866] PGS R2 (no covariates): 0.05374 [0.0315, 0.07599] Incremental R2 (full-covars): 0.03687 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018887 | PGS003913 (INI23116) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (left) | — | — | R²: 0.42831 [0.38632, 0.4703] PGS R2 (no covariates): 0.00783 [-0.00202, 0.01768] Incremental R2 (full-covars): -0.02241 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018888 | PGS003913 (INI23116) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat mass (left) | — | — | R²: 0.38211 [0.36539, 0.39884] PGS R2 (no covariates): 0.06201 [0.05178, 0.07224] Incremental R2 (full-covars): 0.04801 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018894 | PGS003915 (INI23119) |
PSS011124| European Ancestry| 66,607 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.51448 [0.50923, 0.51972] PGS R2 (no covariates): 0.0514 [0.04816, 0.05464] Incremental R2 (full-covars): 0.05223 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018895 | PGS003915 (INI23119) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.48202 [0.45585, 0.50819] PGS R2 (no covariates): 0.04956 [0.03416, 0.06496] Incremental R2 (full-covars): 0.05557 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018896 | PGS003915 (INI23119) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.64938 [0.62073, 0.67803] PGS R2 (no covariates): 0.03254 [0.01484, 0.05023] Incremental R2 (full-covars): 0.01567 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018897 | PGS003915 (INI23119) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.61773 [0.58402, 0.65145] PGS R2 (no covariates): 0.00987 [-0.00117, 0.02092] Incremental R2 (full-covars): -0.01807 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018898 | PGS003915 (INI23119) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.48191 [0.46617, 0.49766] PGS R2 (no covariates): 0.04991 [0.04062, 0.05921] Incremental R2 (full-covars): 0.0412 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018899 | PGS003916 (INI23120) |
PSS011134| European Ancestry| 66,604 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (right) | — | — | R²: 0.14871 [0.14377, 0.15365] PGS R2 (no covariates): 0.08625 [0.08221, 0.09029] Incremental R2 (full-covars): 0.08473 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018901 | PGS003916 (INI23120) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (right) | — | — | R²: 0.19809 [0.1619, 0.23429] PGS R2 (no covariates): 0.07372 [0.04821, 0.09922] Incremental R2 (full-covars): 0.04848 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018902 | PGS003916 (INI23120) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (right) | — | — | R²: 0.13404 [0.09846, 0.16962] PGS R2 (no covariates): 0.00846 [-0.00178, 0.01869] Incremental R2 (full-covars): -0.0561 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018903 | PGS003916 (INI23120) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (right) | — | — | R²: 0.14567 [0.13139, 0.15994] PGS R2 (no covariates): 0.0796 [0.06823, 0.09097] Incremental R2 (full-covars): 0.06809 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018900 | PGS003916 (INI23120) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (right) | — | — | R²: 0.12394 [0.1015, 0.14639] PGS R2 (no covariates): 0.08183 [0.06272, 0.10095] Incremental R2 (full-covars): 0.083 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018909 | PGS003918 (INI23123) |
PSS011133| European Ancestry| 66,600 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.51854 [0.51332, 0.52377] PGS R2 (no covariates): 0.05245 [0.04918, 0.05572] Incremental R2 (full-covars): 0.0534 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018910 | PGS003918 (INI23123) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.48337 [0.45723, 0.50951] PGS R2 (no covariates): 0.04795 [0.03277, 0.06312] Incremental R2 (full-covars): 0.05574 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018911 | PGS003918 (INI23123) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.62439 [0.59429, 0.65449] PGS R2 (no covariates): 0.03768 [0.01873, 0.05662] Incremental R2 (full-covars): 0.01993 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018912 | PGS003918 (INI23123) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.60637 [0.57197, 0.64077] PGS R2 (no covariates): 0.00965 [-0.00127, 0.02056] Incremental R2 (full-covars): -0.0166 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018913 | PGS003918 (INI23123) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.48038 [0.46461, 0.49615] PGS R2 (no covariates): 0.0511 [0.04171, 0.0605] Incremental R2 (full-covars): 0.04319 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018914 | PGS003919 (INI23124) |
PSS011132| European Ancestry| 66,594 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (left) | — | — | R²: 0.14427 [0.13937, 0.14916] PGS R2 (no covariates): 0.08369 [0.0797, 0.08768] Incremental R2 (full-covars): 0.08219 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018915 | PGS003919 (INI23124) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (left) | — | — | R²: 0.11957 [0.09741, 0.14173] PGS R2 (no covariates): 0.07793 [0.0592, 0.09667] Incremental R2 (full-covars): 0.0794 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018916 | PGS003919 (INI23124) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (left) | — | — | R²: 0.18653 [0.1509, 0.22216] PGS R2 (no covariates): 0.0701 [0.04513, 0.09506] Incremental R2 (full-covars): 0.04734 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018917 | PGS003919 (INI23124) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (left) | — | — | R²: 0.12442 [0.08976, 0.15909] PGS R2 (no covariates): 0.00699 [-0.00233, 0.0163] Incremental R2 (full-covars): -0.05668 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018918 | PGS003919 (INI23124) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat mass (left) | — | — | R²: 0.13999 [0.1259, 0.15408] PGS R2 (no covariates): 0.07732 [0.06609, 0.08856] Incremental R2 (full-covars): 0.06589 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018924 | PGS003921 (INI23127) |
PSS011128| European Ancestry| 66,582 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.27379 [0.26807, 0.27952] PGS R2 (no covariates): 0.08028 [0.07635, 0.0842] Incremental R2 (full-covars): 0.08082 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018926 | PGS003921 (INI23127) |
PSS011119| South Asian Ancestry| 1,456 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.31316 [0.27418, 0.35214] PGS R2 (no covariates): 0.06997 [0.04502, 0.09491] Incremental R2 (full-covars): 0.05643 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018927 | PGS003921 (INI23127) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.32278 [0.2796, 0.36596] PGS R2 (no covariates): 0.01113 [-0.00058, 0.02284] Incremental R2 (full-covars): -0.03274 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018928 | PGS003921 (INI23127) |
PSS011163| Multi-ancestry (excluding European)| 7,838 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.23709 [0.22083, 0.25336] PGS R2 (no covariates): 0.0811 [0.06964, 0.09256] Incremental R2 (full-covars): 0.06338 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018925 | PGS003921 (INI23127) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.25282 [0.22547, 0.28016] PGS R2 (no covariates): 0.09086 [0.07091, 0.1108] Incremental R2 (full-covars): 0.09109 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018929 | PGS003922 (INI23128) |
PSS011127| European Ancestry| 66,580 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat mass | — | — | R²: 0.12779 [0.1231, 0.13249] PGS R2 (no covariates): 0.11593 [0.1114, 0.12047] Incremental R2 (full-covars): 0.11466 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018930 | PGS003922 (INI23128) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat mass | — | — | R²: 0.13897 [0.11561, 0.16233] PGS R2 (no covariates): 0.13241 [0.10944, 0.15539] Incremental R2 (full-covars): 0.12803 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018931 | PGS003922 (INI23128) |
PSS011119| South Asian Ancestry| 1,456 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat mass | — | — | R²: 0.12834 [0.09667, 0.16001] PGS R2 (no covariates): 0.11437 [0.08399, 0.14474] Incremental R2 (full-covars): 0.1067 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018932 | PGS003922 (INI23128) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat mass | — | — | R²: 0.02303 [0.00639, 0.03967] PGS R2 (no covariates): 0.01601 [0.00204, 0.02998] Incremental R2 (full-covars): 0.01465 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018933 | PGS003922 (INI23128) |
PSS011163| Multi-ancestry (excluding European)| 7,838 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat mass | — | — | R²: 0.14605 [0.13176, 0.16034] PGS R2 (no covariates): 0.1056 [0.09287, 0.11832] Incremental R2 (full-covars): 0.08711 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM020489 | PGS004374 (X23099.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Body fat percentage | — | — | PGS R2 (no covariates): 0.21041 | — | — |
| PPM020490 | PGS004375 (X23100.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Whole body fat mass | — | — | PGS R2 (no covariates): 0.28222 | — | — |
| PPM020500 | PGS004385 (X23111.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat percentage (right) | — | — | PGS R2 (no covariates): 0.16671 | — | — |
| PPM020501 | PGS004386 (X23112.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat mass (right) | — | — | PGS R2 (no covariates): 0.22404 | — | — |
| PPM020504 | PGS004389 (X23115.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat percentage (left) | — | — | PGS R2 (no covariates): 0.16533 | — | — |
| PPM020505 | PGS004390 (X23116.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat mass (left) | — | — | PGS R2 (no covariates): 0.22252 | — | — |
| PPM020508 | PGS004393 (X23119.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat percentage (right) | — | — | PGS R2 (no covariates): 0.2087 | — | — |
| PPM020509 | PGS004394 (X23120.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat mass (right) | — | — | PGS R2 (no covariates): 0.28262 | — | — |
| PPM020512 | PGS004397 (X23123.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat percentage (left) | — | — | PGS R2 (no covariates): 0.20905 | — | — |
| PPM020513 | PGS004398 (X23124.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat mass (left) | — | — | PGS R2 (no covariates): 0.28255 | — | — |
| PPM020516 | PGS004401 (X23127.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Trunk fat percentage | — | — | PGS R2 (no covariates): 0.24805 | — | — |
| PPM020517 | PGS004402 (X23128.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Trunk fat mass | — | — | PGS R2 (no covariates): 0.29231 | — | — |
| PPM022665 | PGS005233 (F2_Abdominal_Size) |
PSS012051| European Ancestry| 100,960 individuals |
PGP000739 | Arehart CH et al. Nat Commun (2025) |
Reported Trait: Disorders of lipoid metabolism (phecode: 272) | OR: 1.1528 | — | — | age, sex, batch, and the first 10 genetic principal components | — |
| PPM022666 | PGS005234 (F3_Body_Size_and_Adipose_Distribution) |
PSS012051| European Ancestry| 100,960 individuals |
PGP000739 | Arehart CH et al. Nat Commun (2025) |
Reported Trait: Atrial fibrillation (phecode: 427.21) | OR: 1.16164 | — | — | age, sex, batch, and the first 10 genetic principal components | — |
| PPM023056 | PGS005316 (BFM_PRS) |
PSS012106| European Ancestry| 32,360 individuals |
PGP000766 | Türkmen D et al. Pharmacogenomics J (2024) |
Reported Trait: Incident heart failure | HR: 1.12 [1.07, 1.18] | — | — | sex, age at first prescription and genetic principal components 1 to 10 | — |
| PPM023057 | PGS005316 (BFM_PRS) |
PSS012106| European Ancestry| 32,360 individuals |
PGP000766 | Türkmen D et al. Pharmacogenomics J (2024) |
Reported Trait: Coronary heart disease | HR: 1.05 [1.02, 1.08] | — | — | sex, age at first prescription and genetic principal components 1 to 10 | — |
| PPM023058 | PGS005316 (BFM_PRS) |
PSS012106| European Ancestry| 32,360 individuals |
PGP000766 | Türkmen D et al. Pharmacogenomics J (2024) |
Reported Trait: Discontinuation of dCCB prescribing | HR: 1.04 [1.02, 1.06] | — | — | sex, age at first prescription and genetic principal components 1 to 10 | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS005180 | — | — | 66,204 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009179 | — | — | 4,073 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011441 | — | — | [ ,
82.0 % Male samples |
Mean = 27.5 years | African unspecified | — | PDAY | — |
| PSS011442 | — | — | [ ,
77.0 % Male samples |
Mean = 26.7 years | European | — | PDAY | — |
| PSS010703 | — | — | 3,771 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010560 | — | — | 1,121 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010199 | — | — | 2,315 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009218 | — | — | 4,065 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009224 | — | — | 4,069 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010728 | — | — | 3,766 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010224 | — | — | 2,313 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS012106 | — | — | 32,360 individuals, 54.4 % Male samples |
— | European | — | UKB | — |
| PSS008733 | — | — | 6,533 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008772 | — | — | 6,519 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010787 | — | — | 4,063 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS008778 | — | — | 6,535 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010283 | — | — | 2,406 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS008285 | — | — | 6,180 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010812 | — | — | 4,055 individuals, 37.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010308 | — | — | 2,406 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS008324 | — | — | 6,173 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008330 | — | — | 6,178 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010871 | — | — | 19,650 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS008546 | — | — | 1,149 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011106 | — | — | 2,836 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011107 | — | — | 2,833 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011105 | — | — | 2,837 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS010367 | — | — | 1,767 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS007849 | — | — | 2,418 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011115 | — | — | 1,452 individuals | — | South Asian | — | UKB | — |
| PSS011116 | — | — | 1,455 individuals | — | South Asian | — | UKB | — |
| PSS011118 | — | — | 1,457 individuals | — | South Asian | — | UKB | — |
| PSS011119 | — | — | 1,456 individuals | — | South Asian | — | UKB | — |
| PSS011121 | — | — | 66,612 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011122 | — | — | 66,610 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011123 | — | — | 66,609 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011124 | — | — | 66,607 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011125 | — | — | 66,530 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS010896 | — | — | 19,633 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS011127 | — | — | 66,580 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011128 | — | — | 66,582 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011129 | — | — | 66,584 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011132 | — | — | 66,594 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS009405 | — | — | 19,632 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010392 | — | — | 1,754 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS011134 | — | — | 66,604 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011133 | — | — | 66,600 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011151 | — | — | 66,613 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS007888 | — | — | 2,418 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011156 | — | — | 1,166 individuals | — | African unspecified | — | UKB | — |
| PSS011157 | — | — | 1,168 individuals | — | African unspecified | — | UKB | — |
| PSS007894 | — | — | 2,417 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011158 | — | — | 1,169 individuals | — | African unspecified | — | UKB | — |
| PSS011162 | — | — | 7,839 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011163 | — | — | 7,838 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011164 | — | — | 7,824 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011165 | — | — | 7,837 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS009444 | — | — | 19,612 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011177 | — | — | 7,841 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS009450 | — | — | 19,624 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011178 | — | — | 7,840 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS008953 | — | — | 3,799 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010451 | — | — | 6,129 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010476 | — | — | 6,122 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS008992 | — | — | 3,794 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008998 | — | — | 3,798 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS005036 | — | — | 6,300 individuals | — | African unspecified | — | UKB | — |
| PSS005037 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
| PSS005038 | — | — | 24,454 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005039 | — | — | 7,645 individuals | — | South Asian | — | UKB | — |
| PSS005040 | — | — | 66,227 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005041 | — | — | 6,294 individuals | — | African unspecified | — | UKB | — |
| PSS005042 | — | — | 1,667 individuals | — | East Asian | — | UKB | — |
| PSS005043 | — | — | 24,422 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005044 | — | — | 7,639 individuals | — | South Asian | — | UKB | — |
| PSS005045 | — | — | 66,165 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008507 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS005061 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005062 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005063 | — | — | 24,471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005064 | — | — | 7,651 individuals | — | South Asian | — | UKB | — |
| PSS005065 | — | — | 66,304 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005066 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005067 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005068 | — | — | 24,475 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005069 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005070 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005071 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005072 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005073 | — | — | 24,474 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005074 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005075 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005076 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005077 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005078 | — | — | 24,473 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005079 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005080 | — | — | 66,307 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005081 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005082 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005083 | — | — | 24,474 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005084 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005085 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005086 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005087 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005088 | — | — | 24,463 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005089 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005090 | — | — | 66,260 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005091 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005092 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005093 | — | — | 24,463 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005094 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005095 | — | — | 66,259 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008552 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS012051 | — | — | 25,240 individuals | — | European | — | CCPM | — |
| PSS012051 | — | — | 25,240 individuals | — | European | — | CCPM | — |
| PSS012051 | — | — | 25,240 individuals | — | European | — | CCPM | — |
| PSS012051 | — | — | 25,240 individuals | — | European | — | CCPM | — |
| PSS005101 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005102 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005103 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005104 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005105 | — | — | 66,257 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005106 | — | — | 6,304 individuals | — | African unspecified | — | UKB | — |
| PSS005107 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
| PSS005108 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005109 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005110 | — | — | 66,256 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008062 | — | — | 1,779 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010535 | — | — | 1,123 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS005116 | — | — | 6,303 individuals | — | African unspecified | — | UKB | — |
| PSS005117 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
| PSS005118 | — | — | 24,460 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005119 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005120 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005121 | — | — | 6,302 individuals | — | African unspecified | — | UKB | — |
| PSS005122 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005123 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005124 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005125 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005126 | — | — | 6,302 individuals | — | African unspecified | — | UKB | — |
| PSS005127 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005128 | — | — | 24,456 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005129 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005130 | — | — | 66,249 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005131 | — | — | 6,302 individuals | — | African unspecified | — | UKB | — |
| PSS005132 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005133 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005134 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005135 | — | — | 66,249 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005141 | — | — | 6,301 individuals | — | African unspecified | — | UKB | — |
| PSS005142 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005143 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005144 | — | — | 7,648 individuals | — | South Asian | — | UKB | — |
| PSS005145 | — | — | 66,244 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005146 | — | — | 6,301 individuals | — | African unspecified | — | UKB | — |
| PSS005147 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005148 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005149 | — | — | 7,647 individuals | — | South Asian | — | UKB | — |
| PSS005150 | — | — | 66,237 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008101 | — | — | 1,766 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010619 | — | — | 6,371 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS008107 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS005161 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — |
| PSS005162 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005163 | — | — | 24,452 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005164 | — | — | 7,646 individuals | — | South Asian | — | UKB | — |
| PSS005165 | — | — | 66,224 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005166 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — |
| PSS005167 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005168 | — | — | 24,450 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005169 | — | — | 7,646 individuals | — | South Asian | — | UKB | — |
| PSS005170 | — | — | 66,220 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010644 | — | — | 6,357 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS005176 | — | — | 6,298 individuals | — | African unspecified | — | UKB | — |
| PSS005177 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
| PSS005178 | — | — | 24,444 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005179 | — | — | 7,642 individuals | — | South Asian | — | UKB | — |