Predicted Trait | |
Reported Trait | Diastolic BP (AR) |
Mapped Trait(s) | diastolic blood pressure (EFO_0006336) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI4079 |
Score Construction | |
PGS Name | GBE_INI4079 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 14,103 |
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% 255,692 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 |
---|---|---|---|---|---|---|---|---|
— | 255,692 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 |
---|---|---|---|---|---|---|---|---|
PPM008393 | PSS007261| African Ancestry| 6,409 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diastolic BP (AR) | — | — | R²: 0.00961 [0.00489, 0.01433] Incremental R2 (full-covars): 0.004 PGS R2 (no covariates): 0.00541 [0.00186, 0.00897] |
age, sex, UKB array type, Genotype PCs | — |
PPM008394 | PSS007262| East Asian Ancestry| 1,634 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diastolic BP (AR) | — | — | R²: 0.10887 [0.081, 0.13673] Incremental R2 (full-covars): 0.03804 PGS R2 (no covariates): 0.04085 [0.02248, 0.05923] |
age, sex, UKB array type, Genotype PCs | — |
PPM008395 | PSS007263| European Ancestry| 23,727 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diastolic BP (AR) | — | — | R²: 0.08484 [0.07822, 0.09146] Incremental R2 (full-covars): 0.04531 PGS R2 (no covariates): 0.04978 [0.04451, 0.05504] |
age, sex, UKB array type, Genotype PCs | — |
PPM008396 | PSS007264| South Asian Ancestry| 7,640 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diastolic BP (AR) | — | — | R²: 0.03516 [0.02715, 0.04317] Incremental R2 (full-covars): 0.02383 PGS R2 (no covariates): 0.02615 [0.01918, 0.03312] |
age, sex, UKB array type, Genotype PCs | — |
PPM008397 | PSS007265| European Ancestry| 63,825 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diastolic BP (AR) | — | — | R²: 0.07507 [0.07124, 0.07889] Incremental R2 (full-covars): 0.04511 PGS R2 (no covariates): 0.04581 [0.04273, 0.04889] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007261 | — | — | 6,409 individuals | — | African unspecified | — | UKB | — |
PSS007262 | — | — | 1,634 individuals | — | East Asian | — | UKB | — |
PSS007263 | — | — | 23,727 individuals | — | European | non-white British ancestry | UKB | — |
PSS007264 | — | — | 7,640 individuals | — | South Asian | — | UKB | — |
PSS007265 | — | — | 63,825 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |