Predicted Trait | |
Reported Trait | Waist circumference |
Mapped Trait(s) | waist circumference (EFO_0004342) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI48 |
Score Construction | |
PGS Name | GBE_INI48 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 25,538 |
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% 269,260 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 |
---|---|---|---|---|---|---|---|---|
— | 269,260 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 |
---|---|---|---|---|---|---|---|---|
PPM008649 | PSS007356| African Ancestry| 6,418 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Waist circumference | — | — | R²: 0.04902 [0.03878, 0.05925] Incremental R2 (full-covars): 0.01275 PGS R2 (no covariates): 0.01765 [0.01131, 0.024] |
age, sex, UKB array type, Genotype PCs | — |
PPM008650 | PSS007357| East Asian Ancestry| 1,698 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Waist circumference | — | — | R²: 0.31538 [0.27895, 0.35182] Incremental R2 (full-covars): 0.00143 PGS R2 (no covariates): 0.02593 [0.01107, 0.0408] |
age, sex, UKB array type, Genotype PCs | — |
PPM008651 | PSS007358| European Ancestry| 24,833 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Waist circumference | — | — | R²: 0.30589 [0.29635, 0.31542] Incremental R2 (full-covars): 0.05708 PGS R2 (no covariates): 0.0673 [0.06129, 0.07331] |
age, sex, UKB array type, Genotype PCs | — |
PPM008652 | PSS007359| South Asian Ancestry| 7,756 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Waist circumference | — | — | R²: 0.19567 [0.17992, 0.21142] Incremental R2 (full-covars): 0.03363 PGS R2 (no covariates): 0.03558 [0.02753, 0.04364] |
age, sex, UKB array type, Genotype PCs | — |
PPM008653 | PSS007360| European Ancestry| 67,330 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Waist circumference | — | — | R²: 0.29142 [0.28565, 0.2972] Incremental R2 (full-covars): 0.06556 PGS R2 (no covariates): 0.0665 [0.06287, 0.07013] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007356 | — | — | 6,418 individuals | — | African unspecified | — | UKB | — |
PSS007357 | — | — | 1,698 individuals | — | East Asian | — | UKB | — |
PSS007358 | — | — | 24,833 individuals | — | European | non-white British ancestry | UKB | — |
PSS007359 | — | — | 7,756 individuals | — | South Asian | — | UKB | — |
PSS007360 | — | — | 67,330 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |