Predicted Trait | |
Reported Trait | PE (time-to-event) |
Mapped Trait(s) | pulmonary embolism (EFO_0003827) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC943 |
Score Construction | |
PGS Name | GBE_HC943 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 88 |
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 |
---|---|---|---|---|---|---|---|---|
PPM008898 | PSS004731| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.64593 [0.59381, 0.69806] | R²: 0.02844 Incremental AUROC (full-covars): 0.007 PGS R2 (no covariates): 0.00302 PGS AUROC (no covariates): 0.54566 [0.48787, 0.60344] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008899 | PSS004732| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.80741 [0.66178, 0.95305] | R²: 0.12326 Incremental AUROC (full-covars): -0.00228 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.51798 [0.36629, 0.66968] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008900 | PSS004733| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.67617 [0.64866, 0.70368] | R²: 0.04057 Incremental AUROC (full-covars): 0.02926 PGS R2 (no covariates): 0.01403 PGS AUROC (no covariates): 0.60765 [0.57812, 0.63719] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008901 | PSS004734| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.68371 [0.61554, 0.75187] | R²: 0.03438 Incremental AUROC (full-covars): 0.03127 PGS R2 (no covariates): 0.01152 PGS AUROC (no covariates): 0.6164 [0.54879, 0.684] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008902 | PSS004735| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.65102 [0.6355, 0.66654] | R²: 0.03061 Incremental AUROC (full-covars): 0.03417 PGS R2 (no covariates): 0.01357 PGS AUROC (no covariates): 0.59996 [0.58313, 0.61679] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004732 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004733 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004734 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004735 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004731 | — | — | [
|
— | African unspecified | — | UKB | — |