Predicted Trait | |
Reported Trait | Iritis |
Mapped Trait(s) | iritis (EFO_1000997) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC26 |
Score Construction | |
PGS Name | GBE_HC26 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1 |
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: 50% African: 25% South Asian: 25% 4 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 |
---|---|---|---|---|---|---|---|---|
PPM007654 | PSS004399| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.92131 [0.81365, 1.0] | R²: 0.11296 Incremental AUROC (full-covars): 0.00359 PGS R2 (no covariates): 0.14006 PGS AUROC (no covariates): 0.66325 [0.33513, 0.99137] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007655 | PSS004400| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.79843 [0.66002, 0.93684] | R²: 0.10294 Incremental AUROC (full-covars): 0.06447 PGS R2 (no covariates): 0.09763 PGS AUROC (no covariates): 0.75287 [0.61793, 0.88781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007656 | PSS004401| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.961 [0.92628, 0.99572] | R²: 0.2291 Incremental AUROC (full-covars): -0.00048 PGS R2 (no covariates): 0.00222 PGS AUROC (no covariates): 0.49061 [0.48911, 0.49211] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007657 | PSS004402| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.77646 [0.69039, 0.86254] | R²: 0.08068 Incremental AUROC (full-covars): 0.22055 PGS R2 (no covariates): 0.10834 PGS AUROC (no covariates): 0.78582 [0.71071, 0.86092] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004399 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004400 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004401 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004402 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |