Predicted Trait | |
Reported Trait | Whole body fat mass |
Mapped Trait(s) | fat body mass (EFO_0005409) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23100 |
Score Construction | |
PGS Name | GBE_INI23100 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 27,550 |
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% 264,738 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 |
---|---|---|---|---|---|---|---|---|
— | 264,738 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 |
---|---|---|---|---|---|---|---|---|
PPM008475 | PSS005044| South Asian Ancestry| 7,639 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.17436 [0.1591, 0.18963] Incremental R2 (full-covars): 0.05377 PGS R2 (no covariates): 0.06028 [0.05006, 0.07049] |
age, sex, UKB array type, Genotype PCs | — |
PPM008472 | PSS005041| African Ancestry| 6,294 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.22098 [0.20318, 0.23878] Incremental R2 (full-covars): 0.00715 PGS R2 (no covariates): 0.01342 [0.00786, 0.01897] |
age, sex, UKB array type, Genotype PCs | — |
PPM008473 | PSS005042| East Asian Ancestry| 1,667 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.10565 [0.0781, 0.1332] Incremental R2 (full-covars): 0.01419 PGS R2 (no covariates): 0.04325 [0.0244, 0.06211] |
age, sex, UKB array type, Genotype PCs | — |
PPM008474 | PSS005043| European Ancestry| 24,422 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.1432 [0.13515, 0.15125] Incremental R2 (full-covars): 0.08949 PGS R2 (no covariates): 0.09358 [0.08669, 0.10047] |
age, sex, UKB array type, Genotype PCs | — |
PPM008476 | PSS005045| European Ancestry| 66,165 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat mass | — | — | R²: 0.16366 [0.15856, 0.16877] Incremental R2 (full-covars): 0.09847 PGS R2 (no covariates): 0.09893 [0.09465, 0.10321] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005041 | — | — | 6,294 individuals | — | African unspecified | — | UKB | — |
PSS005042 | — | — | 1,667 individuals | — | East Asian | — | UKB | — |
PSS005043 | — | — | 24,422 individuals | — | European | non-white British ancestry | UKB | — |
PSS005044 | — | — | 7,639 individuals | — | South Asian | — | UKB | — |
PSS005045 | — | — | 66,165 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |