Trait: body fat distribution

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004341
Description Deposits of ADIPOSE TISSUE throughout the body. The pattern of fat deposits in the body regions is an indicator of health status. Excess ABDOMINAL FAT increases health risks more than excess fat around the hips or thighs, therefore, WAIST-HIP RATIO is often used to determine health risks.
Trait category
Body measurement
Synonym body fat patterning

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
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)
PGS005233
(F2_Abdominal_Size)
PGP000739 |
Arehart CH et al. Nat Commun (2025)
Abdominal size body fat distribution 710,487
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005233/ScoringFiles/PGS005233.txt.gz
PGS005234
(F3_Body_Size_and_Adipose_Distribution)
PGP000739 |
Arehart CH et al. Nat Commun (2025)
Body size and adipose distribution body weight,
body fat distribution
709,193
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005234/ScoringFiles/PGS005234.txt.gz
PGS005316
(BFM_PRS)
PGP000766 |
Türkmen D et al. Pharmacogenomics J (2024)
Body fat mass body fat distribution 403
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005316/ScoringFiles/PGS005316.txt.gz

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
PPM022665 PGS005233
(F2_Abdominal_Size)
PSS012051|
European Ancestry|
100,960 individuals
PGP000739 |
Arehart CH et al. Nat Commun (2025)
Reported Trait: Disorders of lipoid metabolism (phecode: 272) OR: 1.1528 age, sex, batch, and the first 10 genetic principal components
PPM022666 PGS005234
(F3_Body_Size_and_Adipose_Distribution)
PSS012051|
European Ancestry|
100,960 individuals
PGP000739 |
Arehart CH et al. Nat Commun (2025)
Reported Trait: Atrial fibrillation (phecode: 427.21) OR: 1.16164 age, sex, batch, and the first 10 genetic principal components
PPM023056 PGS005316
(BFM_PRS)
PSS012106|
European Ancestry|
32,360 individuals
PGP000766 |
Türkmen D et al. Pharmacogenomics J (2024)
Reported Trait: Incident heart failure HR: 1.12 [1.07, 1.18] sex, age at first prescription and genetic principal components 1 to 10
PPM023057 PGS005316
(BFM_PRS)
PSS012106|
European Ancestry|
32,360 individuals
PGP000766 |
Türkmen D et al. Pharmacogenomics J (2024)
Reported Trait: Coronary heart disease HR: 1.05 [1.02, 1.08] sex, age at first prescription and genetic principal components 1 to 10
PPM023058 PGS005316
(BFM_PRS)
PSS012106|
European Ancestry|
32,360 individuals
PGP000766 |
Türkmen D et al. Pharmacogenomics J (2024)
Reported Trait: Discontinuation of dCCB prescribing HR: 1.04 [1.02, 1.06] sex, age at first prescription and genetic principal components 1 to 10

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
PSS012051 25,240 individuals European CCPM
PSS012051 25,240 individuals European CCPM
PSS012051 25,240 individuals European CCPM
PSS012051 25,240 individuals European CCPM
PSS012106 32,360 individuals,
54.4 % Male samples
European UKB