Predicted Trait | |
Reported Trait | Angina |
Mapped Trait(s) | angina pectoris (EFO_0003913) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC132 |
Score Construction | |
PGS Name | GBE_HC132 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 2,562 |
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% 269,704 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 |
---|---|---|---|---|---|---|---|---|
— | [
|
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 |
---|---|---|---|---|---|---|---|---|
PPM008805 | PSS004263| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Angina | — | AUROC: 0.74858 [0.72225, 0.7749] | R²: 0.10317 Incremental AUROC (full-covars): 0.00581 PGS R2 (no covariates): 0.0021 PGS AUROC (no covariates): 0.53477 [0.50036, 0.56918] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008806 | PSS004264| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Angina | — | AUROC: 0.79053 [0.72587, 0.85519] | R²: 0.12393 Incremental AUROC (full-covars): 0.00849 PGS R2 (no covariates): 0.01465 PGS AUROC (no covariates): 0.60534 [0.52229, 0.68839] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008807 | PSS004265| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Angina | — | AUROC: 0.74298 [0.72979, 0.75617] | R²: 0.1154 Incremental AUROC (full-covars): 0.00783 PGS R2 (no covariates): 0.01185 PGS AUROC (no covariates): 0.58108 [0.56544, 0.59672] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008808 | PSS004266| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Angina | — | AUROC: 0.74658 [0.73013, 0.76304] | R²: 0.14735 Incremental AUROC (full-covars): 0.00443 PGS R2 (no covariates): 0.00579 PGS AUROC (no covariates): 0.54578 [0.52572, 0.56585] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008809 | PSS004267| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Angina | — | AUROC: 0.74167 [0.73419, 0.74914] | R²: 0.11464 Incremental AUROC (full-covars): 0.01108 PGS R2 (no covariates): 0.01112 PGS AUROC (no covariates): 0.57435 [0.565, 0.58369] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
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 |
---|---|---|---|---|---|---|---|---|
PSS004263 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004264 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004265 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004266 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004267 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |