Predicted Trait | |
Reported Trait | Enlarged prostate |
Mapped Trait(s) | prostate disease (EFO_0009602) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC85 |
Score Construction | |
PGS Name | GBE_HC85 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 449 |
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
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Age of Study Participants
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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— | [
| European | UKB | — | — | — | white British ancestry | — |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
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PPM007838 | PSS004657| African Ancestry| 6,497 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Enlarged prostate | — | AUROC: 0.93105 [0.91258, 0.94952] | R²: 0.30098 Incremental AUROC (full-covars): 0.00141 PGS R2 (no covariates): 0.00292 PGS AUROC (no covariates): 0.54724 [0.47568, 0.6188] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007839 | PSS004658| East Asian Ancestry| 1,704 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Enlarged prostate | — | AUROC: 0.94421 [0.91689, 0.97153] | R²: 0.32389 Incremental AUROC (full-covars): -0.00334 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.51196 [0.35247, 0.67145] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007840 | PSS004659| European Ancestry| 24,905 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Enlarged prostate | — | AUROC: 0.90067 [0.89167, 0.90966] | R²: 0.26226 Incremental AUROC (full-covars): 0.00374 PGS R2 (no covariates): 0.01025 PGS AUROC (no covariates): 0.58554 [0.55363, 0.61744] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007841 | PSS004660| South Asian Ancestry| 7,831 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Enlarged prostate | — | AUROC: 0.89677 [0.87594, 0.9176] | R²: 0.24889 Incremental AUROC (full-covars): -0.00207 PGS R2 (no covariates): 0.00055 PGS AUROC (no covariates): 0.48167 [0.42901, 0.53433] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM007842 | PSS004661| European Ancestry| 67,425 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Enlarged prostate | — | AUROC: 0.87353 [0.8676, 0.87947] | R²: 0.22935 Incremental AUROC (full-covars): 0.00218 PGS R2 (no covariates): 0.00233 PGS AUROC (no covariates): 0.54102 [0.52363, 0.5584] | 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
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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PSS004657 | — | — | [
| — | African unspecified | — | UKB | — |
PSS004658 | — | — | [
| — | East Asian | — | UKB | — |
PSS004659 | — | — | [
| — | European | non-white British ancestry | UKB | — |
PSS004660 | — | — | [
| — | South Asian | — | UKB | — |
PSS004661 | — | — | [
| — | European | white British ancestry | UKB | Testing cohort (heldout set) |