| Predicted Trait | |
| Reported Trait | Body fat percentage (right leg) |
| Mapped Trait(s) | body fat percentage (EFO_0007800) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23111 |
| Score Construction | |
| PGS Name | GBE_INI23111 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 28,163 |
| 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% 265,164 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 |
|---|---|---|---|---|---|---|---|---|
| — | 265,164 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008259 | 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 | 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 | 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 | 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 | 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 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| 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) |