Trait: body composition measurement

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) body fat percentage

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "body composition measurement" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

Performance Metrics

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

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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 —
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 —
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] — — — —
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 —
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) —
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) —
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) —
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) —
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) —
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) —
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 — —
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 — —
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 — —
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 — —
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 — —
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 — —

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS005180 — — 66,204 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS009179 — — 4,073 individuals — European Poland (NE Europe) UKB —
PSS011441 — —
[
  • 165 cases
  • , 339 controls
]
,
82.0 % Male samples
 Mean = 27.5 years African unspecified — PDAY —
PSS011442 — —
[
  • 181 cases
  • , 383 controls
]
,
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 —
PSS010199 — — 2,315 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS009224 — — 4,069 individuals — European Poland (NE Europe) UKB —
PSS008733 — — 6,533 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 —
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 —
PSS011105 — — 2,837 individuals — European
(non-white British ancestry)		 — UKB —
PSS011106 — — 2,836 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 —
PSS011116 — — 1,455 individuals — South Asian — UKB —
PSS011118 — — 1,457 individuals — South Asian — UKB —
PSS011119 — — 1,456 individuals — South Asian — 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 —
PSS011128 — — 66,582 individuals — European
(white British ancestry)		 — UKB —
PSS011129 — — 66,584 individuals — European
(white British ancestry)		 — UKB —
PSS009405 — — 19,632 individuals — European UK (+ Ireland) UKB —
PSS011133 — — 66,600 individuals — European
(white British ancestry)		 — UKB —
PSS011151 — — 66,613 individuals — European
(white British ancestry)		 — 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 —
PSS011165 — — 7,837 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS011177 — — 7,841 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
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 —
PSS011364 — — 56,192 individuals — European — 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)
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)
PSS008552 — — 1,151 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
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)
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)
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)
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 —