Predicted Trait | |
Reported Trait | Nasal polyps |
Mapped Trait(s) | Nasal polyposis (HP_0100582) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC156 |
Score Construction | |
PGS Name | GBE_HC156 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 129 |
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 |
---|---|---|---|---|---|---|---|---|
PPM007497 | PSS004277| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Nasal polyps | — | AUROC: 0.65827 [0.58248, 0.73405] | R²: 0.0287 Incremental AUROC (full-covars): -0.00544 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.49669 [0.40936, 0.58401] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007498 | PSS004278| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Nasal polyps | — | AUROC: 0.69967 [0.52462, 0.87472] | R²: 0.03703 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.01108 PGS AUROC (no covariates): 0.62251 [0.4395, 0.80552] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007499 | PSS004279| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Nasal polyps | — | AUROC: 0.63328 [0.60284, 0.66372] | R²: 0.02259 Incremental AUROC (full-covars): 0.02586 PGS R2 (no covariates): 0.00942 PGS AUROC (no covariates): 0.58779 [0.55667, 0.61891] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007500 | PSS004280| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Nasal polyps | — | AUROC: 0.6332 [0.57742, 0.68897] | R²: 0.02262 Incremental AUROC (full-covars): 0.01134 PGS R2 (no covariates): 0.00545 PGS AUROC (no covariates): 0.57902 [0.52247, 0.63558] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007501 | PSS004281| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Nasal polyps | — | AUROC: 0.64859 [0.63074, 0.66643] | R²: 0.02916 Incremental AUROC (full-covars): 0.02257 PGS R2 (no covariates): 0.00975 PGS AUROC (no covariates): 0.58621 [0.56789, 0.60453] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004277 | — | — | [
|
— | African unspecified | — | UKB | — |
PSS004278 | — | — | [
|
— | East Asian | — | UKB | — |
PSS004279 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
PSS004280 | — | — | [
|
— | South Asian | — | UKB | — |
PSS004281 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |