Predicted Trait | |
Reported Trait | Overall health rating |
Mapped Trait(s) | health satisfaction measurement (EFO_0009724) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1002178 |
Score Construction | |
PGS Name | GBE_QT_FC1002178 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 10,464 |
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% 268,822 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 |
---|---|---|---|---|---|---|---|---|
— | 268,822 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 |
---|---|---|---|---|---|---|---|---|
PPM007803 | PSS007591| African Ancestry| 6,303 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Overall health rating | — | — | R²: 0.02094 [0.01405, 0.02782] Incremental R2 (full-covars): -0.00287 PGS R2 (no covariates): 0.00121 [-0.00048, 0.0029] |
age, sex, UKB array type, Genotype PCs | — |
PPM007804 | PSS007592| East Asian Ancestry| 1,636 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Overall health rating | — | — | R²: 0.01726 [0.00503, 0.0295] Incremental R2 (full-covars): -0.00444 PGS R2 (no covariates): 0.00157 [-0.00218, 0.00533] |
age, sex, UKB array type, Genotype PCs | — |
PPM007805 | PSS007593| European Ancestry| 24,733 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Overall health rating | — | — | R²: 0.03896 [0.03425, 0.04368] Incremental R2 (full-covars): 0.01798 PGS R2 (no covariates): 0.02029 [0.01682, 0.02375] |
age, sex, UKB array type, Genotype PCs | — |
PPM007806 | PSS007594| South Asian Ancestry| 7,568 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Overall health rating | — | — | R²: 0.02097 [0.01469, 0.02725] Incremental R2 (full-covars): 0.00755 PGS R2 (no covariates): 0.00811 [0.00415, 0.01206] |
age, sex, UKB array type, Genotype PCs | — |
PPM007807 | PSS007595| European Ancestry| 67,195 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Overall health rating | — | — | R²: 0.02852 [0.02605, 0.031] Incremental R2 (full-covars): 0.01945 PGS R2 (no covariates): 0.02062 [0.0185, 0.02274] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007591 | — | — | 6,303 individuals | — | African unspecified | — | UKB | — |
PSS007592 | — | — | 1,636 individuals | — | East Asian | — | UKB | — |
PSS007593 | — | — | 24,733 individuals | — | European | non-white British ancestry | UKB | — |
PSS007594 | — | — | 7,568 individuals | — | South Asian | — | UKB | — |
PSS007595 | — | — | 67,195 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |