Predicted Trait | |
Reported Trait | Gout (time-to-event) |
Mapped Trait(s) | gout (EFO_0004274) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC1215 |
Score Construction | |
PGS Name | GBE_HC1215 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,796 |
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 |
---|---|---|---|---|---|---|---|---|
PPM008754 | PSS004203| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.77537 [0.73576, 0.81498] | R²: 0.12063 Incremental AUROC (full-covars): 0.01433 PGS R2 (no covariates): 0.01201 PGS AUROC (no covariates): 0.58952 [0.54447, 0.63458] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008755 | PSS004204| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.8503 [0.79897, 0.90164] | R²: 0.23863 Incremental AUROC (full-covars): 0.01971 PGS R2 (no covariates): 0.02733 PGS AUROC (no covariates): 0.62617 [0.54055, 0.7118] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008756 | PSS004205| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.81772 [0.80388, 0.83156] | R²: 0.17135 Incremental AUROC (full-covars): 0.02929 PGS R2 (no covariates): 0.03724 PGS AUROC (no covariates): 0.65807 [0.63913, 0.67702] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008757 | PSS004206| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.76492 [0.73884, 0.79099] | PGS AUROC (no covariates): 0.61344 [0.57941, 0.64746] R²: 0.11928 Incremental AUROC (full-covars): 0.02377 PGS R2 (no covariates): 0.02209 |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008758 | PSS004207| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE gout | — | AUROC: 0.79258 [0.7842, 0.80095] | R²: 0.14867 Incremental AUROC (full-covars): 0.03784 PGS R2 (no covariates): 0.03919 PGS AUROC (no covariates): 0.65389 [0.64293, 0.66484] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004203 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004204 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004205 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004206 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004207 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |