| Predicted Trait | |
| Reported Trait | Chronic renal failure CKD |
| Mapped Trait(s) | chronic kidney disease (MONDO_0005300) |
| Score Construction | |
| PGS Name | TPMI_585.3_SBayesR |
| Development Method | |
| Name | SBayesR |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh38 |
| Number of Variants | 966,773 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000835 |
| Citation (link to publication) | Chen HH et al. Nature (2025) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | [ ,
43.24 % Male samples |
East Asian (Han Chinese) |
TPMI |
| 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 |
|---|---|---|---|---|---|---|---|---|
| — | [ ,
44.39 % Male samples |
East Asian (Han Chinese) |
TPMI | 585.5, 585.6,N18.5, N18.6 | — | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM037618 | PSS013344| East Asian Ancestry| 18,414 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic renal failure CKD | — | AUROC: 0.65681 | R²: 0.05493 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS013344 | 585, 792.5, 996.73, E870.2, E871.2, E872.2, E874.2, E879.1, V45.1, V56,N18, R88.0, Y62.0, Y62.2, Y84.1, Z99.2 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |