Predicted Trait | |
Reported Trait | Leg fat mass (R) |
Mapped Trait(s) | fat body mass (EFO_0005409) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23112 |
Score Construction | |
PGS Name | GBE_INI23112 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 23,565 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 265,162 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 265,162 individuals | European | UKB | — | — | — | white British ancestry | — |
PGS Performance Metric ID (PPM) |
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 |
---|---|---|---|---|---|---|---|---|
PPM008462 | PSS005091| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.43888 [0.42081, 0.45695] Incremental R2 (full-covars): 0.00478 PGS R2 (no covariates): 0.00647 [0.00258, 0.01035] |
age, sex, UKB array type, Genotype PCs | — |
PPM008463 | PSS005092| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.46789 [0.43339, 0.50238] Incremental R2 (full-covars): -0.00071 PGS R2 (no covariates): 0.03169 [0.01535, 0.04803] |
age, sex, UKB array type, Genotype PCs | — |
PPM008464 | PSS005093| European Ancestry| 24,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.34025 [0.33069, 0.34981] Incremental R2 (full-covars): 0.05666 PGS R2 (no covariates): 0.05548 [0.04995, 0.061] |
age, sex, UKB array type, Genotype PCs | — |
PPM008465 | PSS005094| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.44907 [0.43273, 0.46542] Incremental R2 (full-covars): 0.02496 PGS R2 (no covariates): 0.03286 [0.0251, 0.04063] |
age, sex, UKB array type, Genotype PCs | — |
PPM008466 | PSS005095| European Ancestry| 66,259 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat mass (R) | — | — | R²: 0.37892 [0.37315, 0.38469] Incremental R2 (full-covars): 0.06155 PGS R2 (no covariates): 0.0616 [0.05808, 0.06511] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS005091 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
PSS005092 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
PSS005093 | — | — | 24,463 individuals | — | European | non-white British ancestry | UKB | — |
PSS005094 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
PSS005095 | — | — | 66,259 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |