Predicted Trait | |
Reported Trait | UACR [> 30 mg/g] |
Mapped Trait(s) | urinary albumin to creatinine ratio (EFO_0007778) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN30030510 |
Score Construction | |
PGS Name | GBE_BIN30030510 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 1,040 |
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% 261,855 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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PPM008274 | PSS003691| African Ancestry| 6,237 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: UACR > 30 mg/g | — | AUROC: 0.60139 [0.57512, 0.62766] | R²: 0.02227 Incremental AUROC (full-covars): 0.00185 PGS R2 (no covariates): 0.0009 PGS AUROC (no covariates): 0.51848 [0.49256, 0.5444] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008275 | PSS003692| East Asian Ancestry| 1,644 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: UACR > 30 mg/g | — | AUROC: 0.6001 [0.54392, 0.65627] | R²: 0.0208 Incremental AUROC (full-covars): 0.00975 PGS R2 (no covariates): 0.0014 PGS AUROC (no covariates): 0.52126 [0.46633, 0.57618] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008276 | PSS003693| European Ancestry| 24,116 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: UACR > 30 mg/g | — | AUROC: 0.60907 [0.59174, 0.6264] | R²: 0.02214 Incremental AUROC (full-covars): 0.00893 PGS R2 (no covariates): 0.00475 PGS AUROC (no covariates): 0.55009 [0.53261, 0.56756] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008277 | PSS003694| South Asian Ancestry| 7,468 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: UACR > 30 mg/g | — | AUROC: 0.59327 [0.5705, 0.61603] | R²: 0.01969 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.00348 PGS AUROC (no covariates): 0.53695 [0.51465, 0.55924] | age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
PPM008278 | PSS003695| European Ancestry| 65,586 individuals | PGP000244 | Tanigawa Y et al. PLoS Genet (2022) | Reported Trait: UACR > 30 mg/g | — | AUROC: 0.59969 [0.58899, 0.61039] | R²: 0.01679 Incremental AUROC (full-covars): 0.00782 PGS R2 (no covariates): 0.00362 PGS AUROC (no covariates): 0.54388 [0.53304, 0.55472] | 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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PSS003691 | — | — | [
| — | African unspecified | — | UKB | — |
PSS003692 | — | — | [
| — | East Asian | — | UKB | — |
PSS003693 | — | — | [
| — | European | non-white British ancestry | UKB | — |
PSS003694 | — | — | [
| — | South Asian | — | UKB | — |
PSS003695 | — | — | [
| — | European | white British ancestry | UKB | Testing cohort (heldout set) |