Predicted Trait | |
Reported Trait | Aspirin |
Mapped Trait(s) | aspirin use measurement (EFO_0007013) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN_FC1006154 |
Score Construction | |
PGS Name | GBE_BIN_FC1006154 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 499 |
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% 267,242 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 |
---|---|---|---|---|---|---|---|---|
PPM008298 | PSS003785| African Ancestry| 6,221 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Aspirin | — | AUROC: 0.69049 [0.67139, 0.70958] | R²: 0.10001 Incremental AUROC (full-covars): -0.00083 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49929 [0.47866, 0.51992] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008299 | PSS003786| East Asian Ancestry| 1,584 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Aspirin | — | AUROC: 0.70571 [0.6571, 0.75432] | R²: 0.08987 Incremental AUROC (full-covars): 0.0038 PGS R2 (no covariates): 0.00669 PGS AUROC (no covariates): 0.56392 [0.50988, 0.61796] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008300 | PSS003787| European Ancestry| 24,612 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Aspirin | — | AUROC: 0.68372 [0.67417, 0.69326] | R²: 0.09126 Incremental AUROC (full-covars): 0.00057 PGS R2 (no covariates): 0.00095 PGS AUROC (no covariates): 0.51838 [0.50799, 0.52876] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008301 | PSS003788| South Asian Ancestry| 7,364 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Aspirin | — | AUROC: 0.73243 [0.71849, 0.74637] | R²: 0.16473 Incremental AUROC (full-covars): 0.00284 PGS R2 (no covariates): 0.00525 PGS AUROC (no covariates): 0.5396 [0.52315, 0.55606] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008302 | PSS003789| European Ancestry| 66,854 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Aspirin | — | AUROC: 0.70264 [0.69719, 0.70809] | R²: 0.11105 Incremental AUROC (full-covars): 0.00128 PGS R2 (no covariates): 0.00131 PGS AUROC (no covariates): 0.52069 [0.5145, 0.52688] |
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 |
---|---|---|---|---|---|---|---|---|
PSS003785 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS003786 | — | — | [
|
— | East Asian | — | UKB | — |
PSS003787 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS003788 | — | — | [
|
— | South Asian | — | UKB | — |
PSS003789 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |