Predicted Trait | |
Reported Trait | Chronic kidney disease |
Mapped Trait(s) | chronic kidney disease (EFO_0003884) |
Additional Trait Information | PGS for estimated glomerular filtration rate (eGFR) |
Score Construction | |
PGS Name | eGFR_prscs |
Development Method | |
Name | PRS-CS |
Parameters | PRS-CS-auto in FinnGen, LD reference panel: European ancestry in 1000 Genomes |
Variants | |
Original Genome Build | GRCh38 |
Number of Variants | 1,090,783 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000364 |
Citation (link to publication) | Mars N et al. Am J Hum Genet (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 567,460 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST008059 Europe PMC: 31152163 |
567,460 individuals | European | 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 |
---|---|---|---|---|---|---|---|---|
PPM014957 | PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Chronic kidney disease | OR: 1.15 [1.05, 1.26] | — | — | age, sex, 10 PCs, technical covariates | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |