Predicted Trait | |
Reported Trait | Rheumatoid arthritis |
Mapped Trait(s) | rheumatoid arthritis (EFO_0000685) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/HC430 |
Score Construction | |
PGS Name | GBE_HC430 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 175 |
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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PPM009044 | PSS004491| African Ancestry| 6,497 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70522 [0.66309, 0.74736] | R²: 0.0544 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.00109 PGS AUROC (no covariates): 0.53147 [0.47999, 0.58294] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009045 | PSS004492| East Asian Ancestry| 1,704 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66116 [0.54578, 0.77655] | R²: 0.06929 Incremental AUROC (full-covars): -0.02514 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.52178 [0.38366, 0.6599] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009046 | PSS004493| European Ancestry| 24,905 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Rheumatoid arthritis | — | AUROC: 0.68857 [0.6632, 0.71393] | R²: 0.04919 Incremental AUROC (full-covars): 0.02092 PGS R2 (no covariates): 0.01316 PGS AUROC (no covariates): 0.58714 [0.55751, 0.61676] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009047 | PSS004494| South Asian Ancestry| 7,831 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Rheumatoid arthritis | — | AUROC: 0.70402 [0.66905, 0.73899] | R²: 0.06207 Incremental AUROC (full-covars): -0.0019 PGS R2 (no covariates): 0.00142 PGS AUROC (no covariates): 0.53137 [0.48984, 0.57291] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM009048 | PSS004495| European Ancestry| 67,425 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: Rheumatoid arthritis | — | AUROC: 0.66508 [0.65049, 0.67967] | R²: 0.03894 Incremental AUROC (full-covars): 0.03077 PGS R2 (no covariates): 0.01509 PGS AUROC (no covariates): 0.60018 [0.58428, 0.61607] | 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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PSS004491 | — | — | [
| — | African unspecified | — | UKB | — |
PSS004492 | — | — | [
| — | East Asian | — | UKB | — |
PSS004493 | — | — | [
| — | European | non-white British ancestry | UKB | — |
PSS004494 | — | — | [
| — | South Asian | — | UKB | — |
PSS004495 | — | — | [
| — | European | white British ancestry | UKB | Testing cohort (heldout set) |