| Predicted Trait | |
| Reported Trait | IgA nephropathy |
| Mapped Trait(s) | IGA glomerulonephritis (EFO_0004194) |
| Score Construction | |
| PGS Name | GRS21_nephropathy |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | p<5.0E−08,r2 < 0.5 |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 21 |
| Effect Weight Type | log(OR) |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000756 |
| Citation (link to publication) | Xu L et al. Phenomics (2024) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | East Asian: 52.9% European: 47.1% 56,764 individuals (100%) |
| PGS Evaluation | East Asian: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST90308724 Europe PMC: 37337107 |
12,163 individuals | East Asian | NR |
GWAS Catalog: GCST001364 Europe PMC: 22197929 |
5,704 individuals | East Asian | NR |
GWAS Catalog: GCST90308722 Europe PMC: 37337107 |
26,734 individuals | European | NR |
GWAS Catalog: GCST90308722 Europe PMC: 37337107 |
12,163 individuals | East Asian | NR |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM022990 | PSS012087| East Asian Ancestry| 12,207 individuals |
PGP000756 | Xu L et al. Phenomics (2024) |
Reported Trait: IgA nephropathy | OR: 1.62 [1.55, 1.69] | AUROC: 0.63 | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012087 | — | — | [
|
— | East Asian (Chinese) |
— | NR | PKU-IgAN Cohort |