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 Scoring File (FTP Link)
PGS001101
(GBE_INI23099)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Percentage of right arm fat body fat percentage 23,943
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.txt.gz
PGS001154
(GBE_INI23110)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
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. medRxiv (2021)
|Pre
Whole body impedance body composition measurement 32,218
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001161/ScoringFiles/PGS001161.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. medRxiv (2021)
|Pre
Reported Trait: Body fat % : 0.58609 [0.57069, 0.6015]
Incremental R2 (full-covars): -0.00196
PGS R2 (no covariates): 0.00632 [0.00248, 0.01016]
age, sex, UKB array type, Genotype PCs
PPM008245 PGS001101
(GBE_INI23099)
PSS005037|
East Asian Ancestry|
1,677 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Body fat % : 0.43955 [0.40434, 0.47477]
Incremental R2 (full-covars): 0.00787
PGS R2 (no covariates): 0.03564 [0.01839, 0.05289]
age, sex, UKB array type, Genotype PCs
PPM008246 PGS001101
(GBE_INI23099)
PSS005038|
European Ancestry|
24,454 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Body fat % : 0.46731 [0.45827, 0.47636]
Incremental R2 (full-covars): 0.0533
PGS R2 (no covariates): 0.04958 [0.04432, 0.05483]
age, sex, UKB array type, Genotype PCs
PPM008247 PGS001101
(GBE_INI23099)
PSS005039|
South Asian Ancestry|
7,645 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Body fat % : 0.56822 [0.5538, 0.58263]
Incremental R2 (full-covars): 0.01844
PGS R2 (no covariates): 0.0265 [0.01948, 0.03351]
age, sex, UKB array type, Genotype PCs
PPM008248 PGS001101
(GBE_INI23099)
PSS005040|
European Ancestry|
66,227 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Body fat % : 0.51245 [0.50718, 0.51771]
Incremental R2 (full-covars): 0.05409
PGS R2 (no covariates): 0.05282 [0.04954, 0.05611]
age, sex, UKB array type, Genotype PCs
PPM008249 PGS001102
(GBE_INI23123)
PSS005141|
African Ancestry|
6,301 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (L) : 0.60446 [0.58951, 0.61941]
Incremental R2 (full-covars): -3e-05
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. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (L) : 0.47666 [0.44242, 0.5109]
Incremental R2 (full-covars): 0.00986
PGS R2 (no covariates): 0.03708 [0.01951, 0.05465]
age, sex, UKB array type, Genotype PCs
PPM008251 PGS001102
(GBE_INI23123)
PSS005143|
European Ancestry|
24,458 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (L) : 0.46034 [0.45125, 0.46943]
Incremental R2 (full-covars): 0.05013
PGS R2 (no covariates): 0.04532 [0.04027, 0.05037]
age, sex, UKB array type, Genotype PCs
PPM008252 PGS001102
(GBE_INI23123)
PSS005144|
South Asian Ancestry|
7,648 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (L) : 0.60959 [0.59609, 0.62308]
Incremental R2 (full-covars): 0.02061
PGS R2 (no covariates): 0.02621 [0.01923, 0.03318]
age, sex, UKB array type, Genotype PCs
PPM008253 PGS001102
(GBE_INI23123)
PSS005145|
European Ancestry|
66,244 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (L) : 0.51263 [0.50736, 0.5179]
Incremental R2 (full-covars): 0.04899
PGS R2 (no covariates): 0.04847 [0.04531, 0.05163]
age, sex, UKB array type, Genotype PCs
PPM008256 PGS001103
(GBE_INI23115)
PSS005108|
European Ancestry|
24,461 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (L) : 0.76237 [0.75721, 0.76752]
Incremental R2 (full-covars): 0.02314
PGS R2 (no covariates): 0.01668 [0.01353, 0.01984]
age, sex, UKB array type, Genotype PCs
PPM008254 PGS001103
(GBE_INI23115)
PSS005106|
African Ancestry|
6,304 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (L) : 0.80234 [0.79373, 0.81095]
Incremental R2 (full-covars): -0.00147
PGS R2 (no covariates): 0.0021 [-0.00012, 0.00432]
age, sex, UKB array type, Genotype PCs
PPM008255 PGS001103
(GBE_INI23115)
PSS005107|
East Asian Ancestry|
1,679 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (L) : 0.8031 [0.78638, 0.81982]
Incremental R2 (full-covars): 2e-05
PGS R2 (no covariates): 0.01698 [0.00484, 0.02912]
age, sex, UKB array type, Genotype PCs
PPM008257 PGS001103
(GBE_INI23115)
PSS005109|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (L) : 0.82056 [0.81337, 0.82776]
Incremental R2 (full-covars): 0.00571
PGS R2 (no covariates): 0.00973 [0.00541, 0.01406]
age, sex, UKB array type, Genotype PCs
PPM008258 PGS001103
(GBE_INI23115)
PSS005110|
European Ancestry|
66,256 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (L) : 0.78472 [0.78184, 0.7876]
Incremental R2 (full-covars): 0.02307
PGS R2 (no covariates): 0.02257 [0.02035, 0.02479]
age, sex, UKB array type, Genotype PCs
PPM008259 PGS001104
(GBE_INI23111)
PSS005086|
African Ancestry|
6,305 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (R) : 0.78127 [0.77187, 0.79066]
Incremental R2 (full-covars): -0.00315
PGS R2 (no covariates): 0.00173 [-0.00029, 0.00375]
age, sex, UKB array type, Genotype PCs
PPM008260 PGS001104
(GBE_INI23111)
PSS005087|
East Asian Ancestry|
1,680 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (R) : 0.78811 [0.77028, 0.80593]
Incremental R2 (full-covars): 0.00106
PGS R2 (no covariates): 0.01989 [0.00679, 0.03299]
age, sex, UKB array type, Genotype PCs
PPM008261 PGS001104
(GBE_INI23111)
PSS005088|
European Ancestry|
24,463 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (R) : 0.74105 [0.73551, 0.74658]
Incremental R2 (full-covars): 0.02472
PGS R2 (no covariates): 0.01874 [0.0154, 0.02207]
age, sex, UKB array type, Genotype PCs
PPM008262 PGS001104
(GBE_INI23111)
PSS005089|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (R) : 0.7979 [0.78991, 0.80589]
Incremental R2 (full-covars): 0.00504
PGS R2 (no covariates): 0.00957 [0.00528, 0.01386]
age, sex, UKB array type, Genotype PCs
PPM008263 PGS001104
(GBE_INI23111)
PSS005090|
European Ancestry|
66,260 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg fat % (R) : 0.7638 [0.76069, 0.76692]
Incremental R2 (full-covars): 0.02467
PGS R2 (no covariates): 0.02454 [0.02223, 0.02685]
age, sex, UKB array type, Genotype PCs
PPM008265 PGS001105
(GBE_INI23127)
PSS005162|
East Asian Ancestry|
1,678 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk fat % : 0.13249 [0.10257, 0.16242]
Incremental R2 (full-covars): 0.02072
PGS R2 (no covariates): 0.03925 [0.02121, 0.05729]
age, sex, UKB array type, Genotype PCs
PPM008266 PGS001105
(GBE_INI23127)
PSS005163|
European Ancestry|
24,452 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk fat % : 0.23391 [0.22471, 0.24311]
Incremental R2 (full-covars): 0.07149
PGS R2 (no covariates): 0.07404 [0.06778, 0.0803]
age, sex, UKB array type, Genotype PCs
PPM008264 PGS001105
(GBE_INI23127)
PSS005161|
African Ancestry|
6,299 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk fat % : 0.33345 [0.31474, 0.35216]
Incremental R2 (full-covars): -0.0012
PGS R2 (no covariates): 0.01046 [0.00554, 0.01538]
age, sex, UKB array type, Genotype PCs
PPM008267 PGS001105
(GBE_INI23127)
PSS005164|
South Asian Ancestry|
7,646 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk fat % : 0.26434 [0.2476, 0.28109]
Incremental R2 (full-covars): 0.03313
PGS R2 (no covariates): 0.04146 [0.03282, 0.05011]
age, sex, UKB array type, Genotype PCs
PPM008268 PGS001105
(GBE_INI23127)
PSS005165|
European Ancestry|
66,224 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk fat % : 0.26796 [0.26224, 0.27368]
Incremental R2 (full-covars): 0.07557
PGS R2 (no covariates): 0.07501 [0.07118, 0.07883]
age, sex, UKB array type, Genotype PCs
PPM008269 PGS001106
(GBE_INI23119)
PSS005121|
African Ancestry|
6,302 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (R) : 0.61876 [0.60418, 0.63333]
Incremental R2 (full-covars): 0.0012
PGS R2 (no covariates): 0.00365 [0.00072, 0.00657]
age, sex, UKB array type, Genotype PCs
PPM008270 PGS001106
(GBE_INI23119)
PSS005122|
East Asian Ancestry|
1,678 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (R) : 0.46296 [0.42833, 0.49759]
Incremental R2 (full-covars): 0.00917
PGS R2 (no covariates): 0.03415 [0.01724, 0.05107]
age, sex, UKB array type, Genotype PCs
PPM008271 PGS001106
(GBE_INI23119)
PSS005123|
European Ancestry|
24,458 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (R) : 0.45741 [0.4483, 0.46653]
Incremental R2 (full-covars): 0.04769
PGS R2 (no covariates): 0.04324 [0.03829, 0.04818]
age, sex, UKB array type, Genotype PCs
PPM008272 PGS001106
(GBE_INI23119)
PSS005124|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (R) : 0.62976 [0.61675, 0.64277]
Incremental R2 (full-covars): 0.0194
PGS R2 (no covariates): 0.02347 [0.01685, 0.0301]
age, sex, UKB array type, Genotype PCs
PPM008273 PGS001106
(GBE_INI23119)
PSS005125|
European Ancestry|
66,253 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Arm fat % (R) : 0.5084 [0.50311, 0.51369]
Incremental R2 (full-covars): 0.04751
PGS R2 (no covariates): 0.04648 [0.04338, 0.04959]
age, sex, UKB array type, Genotype PCs
PPM008492 PGS001154
(GBE_INI23110)
PSS005081|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (L) : 0.40184 [0.38341, 0.42027]
Incremental R2 (full-covars): 0.00929
PGS R2 (no covariates): 0.01779 [0.01142, 0.02415]
age, sex, UKB array type, Genotype PCs
PPM008493 PGS001154
(GBE_INI23110)
PSS005082|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (L) : 0.57437 [0.5438, 0.60494]
Incremental R2 (full-covars): 0.01873
PGS R2 (no covariates): 0.01902 [0.0062, 0.03184]
age, sex, UKB array type, Genotype PCs
PPM008494 PGS001154
(GBE_INI23110)
PSS005083|
European Ancestry|
24,474 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (L) : 0.57497 [0.56697, 0.58297]
Incremental R2 (full-covars): 0.0528
PGS R2 (no covariates): 0.05187 [0.0465, 0.05723]
age, sex, UKB array type, Genotype PCs
PPM008495 PGS001154
(GBE_INI23110)
PSS005084|
South Asian Ancestry|
7,653 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (L) : 0.53183 [0.51672, 0.54695]
Incremental R2 (full-covars): 0.03819
PGS R2 (no covariates): 0.03481 [0.02684, 0.04279]
age, sex, UKB array type, Genotype PCs
PPM008496 PGS001154
(GBE_INI23110)
PSS005085|
European Ancestry|
66,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (L) : 0.58392 [0.57912, 0.58872]
Incremental R2 (full-covars): 0.05546
PGS R2 (no covariates): 0.05563 [0.05227, 0.05899]
age, sex, UKB array type, Genotype PCs
PPM008497 PGS001155
(GBE_INI23108)
PSS005071|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (L) : 0.09719 [0.08351, 0.11087]
Incremental R2 (full-covars): 0.01992
PGS R2 (no covariates): 0.0278 [0.01992, 0.03567]
age, sex, UKB array type, Genotype PCs
PPM008498 PGS001155
(GBE_INI23108)
PSS005072|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (L) : 0.31023 [0.27382, 0.34664]
Incremental R2 (full-covars): 0.0341
PGS R2 (no covariates): 0.0409 [0.02252, 0.05928]
age, sex, UKB array type, Genotype PCs
PPM008499 PGS001155
(GBE_INI23108)
PSS005073|
European Ancestry|
24,474 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (L) : 0.28199 [0.27252, 0.29146]
Incremental R2 (full-covars): 0.09762
PGS R2 (no covariates): 0.09753 [0.09054, 0.10453]
age, sex, UKB array type, Genotype PCs
PPM008500 PGS001155
(GBE_INI23108)
PSS005074|
South Asian Ancestry|
7,653 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (L) : 0.20912 [0.1931, 0.22513]
Incremental R2 (full-covars): 0.07366
PGS R2 (no covariates): 0.07706 [0.06572, 0.0884]
age, sex, UKB array type, Genotype PCs
PPM008501 PGS001155
(GBE_INI23108)
PSS005075|
European Ancestry|
66,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (L) : 0.284 [0.27824, 0.28976]
Incremental R2 (full-covars): 0.10535
PGS R2 (no covariates): 0.10691 [0.1025, 0.11132]
age, sex, UKB array type, Genotype PCs
PPM008502 PGS001156
(GBE_INI23109)
PSS005076|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (R) : 0.39048 [0.37197, 0.40899]
Incremental R2 (full-covars): 0.00926
PGS R2 (no covariates): 0.01716 [0.0109, 0.02342]
age, sex, UKB array type, Genotype PCs
PPM008503 PGS001156
(GBE_INI23109)
PSS005077|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (R) : 0.54175 [0.50979, 0.57371]
Incremental R2 (full-covars): 0.0153
PGS R2 (no covariates): 0.02132 [0.00778, 0.03486]
age, sex, UKB array type, Genotype PCs
PPM008504 PGS001156
(GBE_INI23109)
PSS005078|
European Ancestry|
24,473 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (R) : 0.57975 [0.5718, 0.58769]
Incremental R2 (full-covars): 0.05372
PGS R2 (no covariates): 0.0533 [0.04787, 0.05873]
age, sex, UKB array type, Genotype PCs
PPM008505 PGS001156
(GBE_INI23109)
PSS005079|
South Asian Ancestry|
7,653 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (R) : 0.53386 [0.51878, 0.54894]
Incremental R2 (full-covars): 0.03597
PGS R2 (no covariates): 0.03083 [0.02329, 0.03836]
age, sex, UKB array type, Genotype PCs
PPM008506 PGS001156
(GBE_INI23109)
PSS005080|
European Ancestry|
66,307 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of arm (R) : 0.57547 [0.57061, 0.58033]
Incremental R2 (full-covars): 0.05379
PGS R2 (no covariates): 0.05414 [0.05082, 0.05746]
age, sex, UKB array type, Genotype PCs
PPM008507 PGS001157
(GBE_INI23107)
PSS005066|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (R) : 0.10262 [0.08864, 0.11659]
Incremental R2 (full-covars): 0.02186
PGS R2 (no covariates): 0.02948 [0.02138, 0.03758]
age, sex, UKB array type, Genotype PCs
PPM008508 PGS001157
(GBE_INI23107)
PSS005067|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (R) : 0.29891 [0.26259, 0.33523]
Incremental R2 (full-covars): 0.03502
PGS R2 (no covariates): 0.04108 [0.02267, 0.0595]
age, sex, UKB array type, Genotype PCs
PPM008509 PGS001157
(GBE_INI23107)
PSS005068|
European Ancestry|
24,475 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (R) : 0.28612 [0.27664, 0.2956]
Incremental R2 (full-covars): 0.09428
PGS R2 (no covariates): 0.09552 [0.08858, 0.10246]
age, sex, UKB array type, Genotype PCs
PPM008510 PGS001157
(GBE_INI23107)
PSS005069|
South Asian Ancestry|
7,653 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (R) : 0.21686 [0.20071, 0.23301]
Incremental R2 (full-covars): 0.07215
PGS R2 (no covariates): 0.07533 [0.06409, 0.08656]
age, sex, UKB array type, Genotype PCs
PPM008511 PGS001157
(GBE_INI23107)
PSS005070|
European Ancestry|
66,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of leg (R) : 0.29573 [0.28995, 0.30151]
Incremental R2 (full-covars): 0.10489
PGS R2 (no covariates): 0.10727 [0.10286, 0.11169]
age, sex, UKB array type, Genotype PCs
PPM008512 PGS001158
(GBE_INI23118)
PSS005116|
African Ancestry|
6,303 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (L) : 0.54551 [0.52919, 0.56183]
Incremental R2 (full-covars): 0.0082
PGS R2 (no covariates): 0.01474 [0.00892, 0.02055]
age, sex, UKB array type, Genotype PCs
PPM008513 PGS001158
(GBE_INI23118)
PSS005117|
East Asian Ancestry|
1,679 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (L) Incremental R2 (full-covars): 0.00295
: 0.73419 [0.71261, 0.75577]
PGS R2 (no covariates): 0.01537 [0.0038, 0.02694]
age, sex, UKB array type, Genotype PCs
PPM008514 PGS001158
(GBE_INI23118)
PSS005118|
European Ancestry|
24,460 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (L) : 0.70945 [0.70337, 0.71553]
Incremental R2 (full-covars): 0.04284
PGS R2 (no covariates): 0.04473 [0.03971, 0.04975]
age, sex, UKB array type, Genotype PCs
PPM008515 PGS001158
(GBE_INI23118)
PSS005119|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (L) : 0.66073 [0.64852, 0.67294]
Incremental R2 (full-covars): 0.03274
PGS R2 (no covariates): 0.02543 [0.01855, 0.03231]
age, sex, UKB array type, Genotype PCs
PPM008516 PGS001158
(GBE_INI23118)
PSS005120|
European Ancestry|
66,253 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (L) : 0.7033 [0.69954, 0.70705]
Incremental R2 (full-covars): 0.0494
PGS R2 (no covariates): 0.04898 [0.0458, 0.05216]
age, sex, UKB array type, Genotype PCs
PPM008517 PGS001159
(GBE_INI23114)
PSS005101|
African Ancestry|
6,305 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (R) : 0.55037 [0.53416, 0.56658]
Incremental R2 (full-covars): 0.00902
PGS R2 (no covariates): 0.01506 [0.00918, 0.02093]
age, sex, UKB array type, Genotype PCs
PPM008518 PGS001159
(GBE_INI23114)
PSS005102|
East Asian Ancestry|
1,680 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (R) : 0.73877 [0.71749, 0.76005]
Incremental R2 (full-covars): 0.00137
PGS R2 (no covariates): 0.01373 [0.00278, 0.02468]
age, sex, UKB array type, Genotype PCs
PPM008519 PGS001159
(GBE_INI23114)
PSS005103|
European Ancestry|
24,461 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (R) : 0.71438 [0.70839, 0.72038]
Incremental R2 (full-covars): 0.04346
PGS R2 (no covariates): 0.04404 [0.03906, 0.04902]
age, sex, UKB array type, Genotype PCs
PPM008520 PGS001159
(GBE_INI23114)
PSS005104|
South Asian Ancestry|
7,649 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (R) : 0.66736 [0.65533, 0.67939]
Incremental R2 (full-covars): 0.03277
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. medRxiv (2021)
|Pre
Reported Trait: Leg pred. mass (R) : 0.70913 [0.70543, 0.71283]
Incremental R2 (full-covars): 0.04958
PGS R2 (no covariates): 0.04812 [0.04497, 0.05127]
age, sex, UKB array type, Genotype PCs
PPM008522 PGS001160
(GBE_INI23130)
PSS005176|
African Ancestry|
6,298 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk pred. mass : 0.60813 [0.59327, 0.62298]
Incremental R2 (full-covars): 0.01103
PGS R2 (no covariates): 0.01817 [0.01174, 0.0246]
age, sex, UKB array type, Genotype PCs
PPM008523 PGS001160
(GBE_INI23130)
PSS005177|
East Asian Ancestry|
1,677 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk pred. mass : 0.74648 [0.72572, 0.76724]
Incremental R2 (full-covars): 0.01277
PGS R2 (no covariates): 0.02185 [0.00815, 0.03555]
age, sex, UKB array type, Genotype PCs
PPM008524 PGS001160
(GBE_INI23130)
PSS005178|
European Ancestry|
24,444 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk pred. mass Incremental R2 (full-covars): 0.04598
: 0.76821 [0.76317, 0.77326]
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. medRxiv (2021)
|Pre
Reported Trait: Trunk pred. mass : 0.69886 [0.68771, 0.71]
Incremental R2 (full-covars): 0.03651
PGS R2 (no covariates): 0.03063 [0.02312, 0.03815]
age, sex, UKB array type, Genotype PCs
PPM008526 PGS001160
(GBE_INI23130)
PSS005180|
European Ancestry|
66,204 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Trunk pred. mass : 0.7731 [0.77009, 0.77611]
Incremental R2 (full-covars): 0.05059
PGS R2 (no covariates): 0.05155 [0.0483, 0.0548]
age, sex, UKB array type, Genotype PCs
PPM008527 PGS001161
(GBE_INI23106)
PSS005061|
African Ancestry|
6,310 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of whole body : 0.29554 [0.27692, 0.31415]
Incremental R2 (full-covars): 0.01724
PGS R2 (no covariates): 0.02715 [0.01936, 0.03494]
age, sex, UKB array type, Genotype PCs
PPM008528 PGS001161
(GBE_INI23106)
PSS005062|
East Asian Ancestry|
1,681 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of whole body : 0.51675 [0.48383, 0.54967]
Incremental R2 (full-covars): 0.02489
PGS R2 (no covariates): 0.02929 [0.01355, 0.04503]
age, sex, UKB array type, Genotype PCs
PPM008529 PGS001161
(GBE_INI23106)
PSS005063|
European Ancestry|
24,471 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of whole body : 0.50936 [0.50067, 0.51806]
Incremental R2 (full-covars): 0.07566
PGS R2 (no covariates): 0.07383 [0.06758, 0.08008]
age, sex, UKB array type, Genotype PCs
PPM008530 PGS001161
(GBE_INI23106)
PSS005064|
South Asian Ancestry|
7,651 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of whole body : 0.44125 [0.42482, 0.45769]
Incremental R2 (full-covars): 0.05615
PGS R2 (no covariates): 0.05272 [0.04309, 0.06235]
age, sex, UKB array type, Genotype PCs
PPM008531 PGS001161
(GBE_INI23106)
PSS005065|
European Ancestry|
66,304 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Impedance of whole body : 0.51927 [0.51404, 0.5245]
Incremental R2 (full-covars): 0.08047
PGS R2 (no covariates): 0.08089 [0.07694, 0.08483]
age, sex, UKB array type, Genotype PCs

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)
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)
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)
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)
PSS005161 6,299 individuals African unspecified UKB
PSS005162 1,678 individuals East Asian UKB
PSS005163 24,452 individuals European non-white British ancestry 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)
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