Predicted Trait | |
Reported Trait | Time spend outdoors in summer |
Mapped Trait(s) | time spent outdoors measurement (EFO_0600081) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI1050 |
Score Construction | |
PGS Name | GBE_INI1050 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 5,661 |
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% 247,369 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 |
---|---|---|---|---|---|---|---|---|
— | 247,369 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 |
---|---|---|---|---|---|---|---|---|
PPM008018 | PSS004786| African Ancestry| 5,250 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 0.01643 [0.0103, 0.02256] Incremental R2 (full-covars): -0.00169 PGS R2 (no covariates): 0.00077 [-0.00058, 0.00213] |
age, sex, UKB array type, Genotype PCs | — |
PPM008019 | PSS004787| East Asian Ancestry| 1,276 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 0.02297 [0.00894, 0.037] Incremental R2 (full-covars): -0.0142 PGS R2 (no covariates): 0.00141 [-0.00214, 0.00497] |
age, sex, UKB array type, Genotype PCs | — |
PPM008020 | PSS004788| European Ancestry| 22,460 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 0.05435 [0.04887, 0.05982] Incremental R2 (full-covars): 0.00811 PGS R2 (no covariates): 0.01058 [0.00805, 0.01311] |
age, sex, UKB array type, Genotype PCs | — |
PPM008021 | PSS004789| South Asian Ancestry| 6,295 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 0.02272 [0.0162, 0.02924] Incremental R2 (full-covars): -0.00041 PGS R2 (no covariates): 0.00225 [0.00015, 0.00435] |
age, sex, UKB array type, Genotype PCs | — |
PPM008022 | PSS004790| European Ancestry| 61,863 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Time spend outdoors in summer | — | — | R²: 0.05766 [0.05425, 0.06108] Incremental R2 (full-covars): 0.01124 PGS R2 (no covariates): 0.01129 [0.0097, 0.01287] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004786 | — | — | 5,250 individuals | — | African unspecified | — | UKB | — |
PSS004787 | — | — | 1,276 individuals | — | East Asian | — | UKB | — |
PSS004788 | — | — | 22,460 individuals | — | European | non-white British ancestry | UKB | — |
PSS004789 | — | — | 6,295 individuals | — | South Asian | — | UKB | — |
PSS004790 | — | — | 61,863 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |