| Predicted Trait | |
| Reported Trait | Chronic kidney disease |
| Mapped Trait(s) | chronic kidney disease (MONDO_0005300) |
| Score Construction | |
| PGS Name | EN_model_CKD |
| Development Method | |
| Name | Multi-trait PRS |
| Parameters | NR |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 969,768 |
| Effect Weight Type | NR |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000790 |
| Citation (link to publication) | Hu J et al. Genet Med (2026) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | |
| Score Development/Training | European: 100% 184,338 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST008064 Europe PMC: 31152163 |
625,219 individuals | European, NR | NR |
| 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 | — | — | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM030649 | PSS012217| European Ancestry| 122,892 individuals |
PGP000790 | Hu J et al. Genet Med (2026) |
Reported Trait: Chronic kidney disease | OR: 1.36 [1.33, 1.39] | AUROC: 0.58 [0.57, 0.58] | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012217 | — | — | [
|
— | European | — | UKB | — |