Trait: body fat percentage

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007800
Description Quantification of the amount of body fat as a percentage of total body mass, calculated as either to... tal mass of fat divided by total body mass or one of a number of more complex weighted equations. Body fat includes essential body fat and storage body fat. Show more
Trait category
Body measurement

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
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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 percentagebody fat percentage27,396
-
D
E
 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 percentage25,266
-
D
E
 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 percentage28,134
-
D
E
 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 percentage28,163
-
D
E
 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 percentage25,651
-
D
E
 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 percentage23,943
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.txt.gz
PGS001917
(portability-PLR_fat_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body fat percentagebody fat percentage107,244
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001917/ScoringFiles/PGS001917.txt.gz
PGS002133
(portability-ldpred2_fat_perc)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body fat percentagebody fat percentage995,419
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002133/ScoringFiles/PGS002133.txt.gz
PGS003509
(cont-decay-fat_perc)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		Body fat percentagebody fat percentage979,739
-
D
E
 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 percentagebody fat percentage34,374
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003899/ScoringFiles/PGS003899.txt.gz
PGS003909
(INI23111)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Leg fat percentage (R)body fat percentage32,758
-
D
E
 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 percentage33,293
-
D
E
 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 percentage32,448
-
D
E
 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 percentage32,450
-
D
E
 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 percentagebody fat percentage32,770
-
D
E
 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 percentagebody fat percentage1,059,939
-
D
E
 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 percentage1,059,939
-
D
E
 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 percentage1,059,939
-
D
E
 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 percentage1,059,939
-
D
E
 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 percentage1,059,939
-
D
E
 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 percentagebody fat percentage1,059,939
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004401/ScoringFiles/PGS004401.txt.gz
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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.

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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
PPM008244PGS001101
(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—
PPM008245PGS001101
(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—
PPM008246PGS001101
(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—
PPM008247PGS001101
(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—
PPM008248PGS001101
(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—
PPM008249PGS001102
(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—
PPM008250PGS001102
(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—
PPM008251PGS001102
(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—
PPM008252PGS001102
(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—
PPM008253PGS001102
(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—
PPM008254PGS001103
(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—
PPM008255PGS001103
(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—
PPM008256PGS001103
(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—
PPM008257PGS001103
(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—
PPM008258PGS001103
(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—
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Evaluated Samples

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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
PSS005036——6,300 individuals—African unspecified—UKB—
PSS005037——1,677 individuals—East Asian—UKB—
PSS005038——24,454 individuals—Europeannon-white British ancestryUKB—
PSS005039——7,645 individuals—South Asian—UKB—
PSS005040——66,227 individuals—Europeanwhite British ancestryUKBTesting cohort (heldout set)
PSS005086——6,305 individuals—African unspecified—UKB—
PSS005087——1,680 individuals—East Asian—UKB—
PSS005088——24,463 individuals—Europeannon-white British ancestryUKB—
PSS005089——7,649 individuals—South Asian—UKB—
PSS005090——66,260 individuals—Europeanwhite British ancestryUKBTesting cohort (heldout set)
PSS005106——6,304 individuals—African unspecified—UKB—
PSS005107——1,679 individuals—East Asian—UKB—
PSS005108——24,461 individuals—Europeannon-white British ancestryUKB—
PSS005109——7,649 individuals—South Asian—UKB—
PSS005110——66,256 individuals—Europeanwhite British ancestryUKBTesting cohort (heldout set)
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