Predicted Trait | |
Reported Trait | Health satisfaction |
Mapped Trait(s) | health satisfaction measurement (EFO_0009724) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1004548 |
Score Construction | |
PGS Name | GBE_QT_FC1004548 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,814 |
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% 106,271 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 |
---|---|---|---|---|---|---|---|---|
— | 106,271 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
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 |
---|---|---|---|---|---|---|---|---|
PPM007250 | PSS007601| African Ancestry| 3,770 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Health satisfaction | — | — | R²: 0.01436 [0.00862, 0.0201] Incremental R2 (full-covars): -0.00107 PGS R2 (no covariates): 0.00031 [-0.00055, 0.00117] |
age, sex, UKB array type, Genotype PCs | — |
PPM007251 | PSS007602| East Asian Ancestry| 773 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Health satisfaction | — | — | R²: 0.01047 [0.00087, 0.02006] Incremental R2 (full-covars): -0.00364 PGS R2 (no covariates): 0.0 [-0.0002, 0.00021] |
age, sex, UKB array type, Genotype PCs | — |
PPM007252 | PSS007603| European Ancestry| 10,834 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Health satisfaction | — | — | R²: 0.01053 [0.00801, 0.01305] Incremental R2 (full-covars): 0.00325 PGS R2 (no covariates): 0.00366 [0.00217, 0.00516] |
age, sex, UKB array type, Genotype PCs | — |
PPM007253 | PSS007604| South Asian Ancestry| 4,984 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Health satisfaction | — | — | R²: 0.01007 [0.00567, 0.01447] Incremental R2 (full-covars): -0.00147 PGS R2 (no covariates): 0.00014 [-0.00038, 0.00065] |
age, sex, UKB array type, Genotype PCs | — |
PPM007254 | PSS007605| European Ancestry| 26,439 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Health satisfaction | — | — | R²: 0.00501 [0.00394, 0.00607] Incremental R2 (full-covars): 0.00135 PGS R2 (no covariates): 0.00204 [0.00136, 0.00272] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007601 | — | — | 3,770 individuals | — | African unspecified | — | UKB | — |
PSS007602 | — | — | 773 individuals | — | East Asian | — | UKB | — |
PSS007603 | — | — | 10,834 individuals | — | European | non-white British ancestry | UKB | — |
PSS007604 | — | — | 4,984 individuals | — | South Asian | — | UKB | — |
PSS007605 | — | — | 26,439 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |