rs1016396 - CPS1 - RPS27P10
Magnitude 2.2 · 1 study on file
Reported associations
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Genome-wide association study and fine-mapping on Korean biobank to discover renal trait-associated variants - Unknown journal (n.d.) · Unknown authors · PubMed 37919891
ABSTRACT: Background Chronic kidney disease is a significant health burden worldwide, with increasing incidence. Although several genome-wide association studies (GWAS) have investigated single nucleotide polymorphisms (SNP) associated with kidney trait, most studies were focused on European ancestry. Methods We utilized clinical and genetic information collected from the Korean Genome and Epidemiology Study (KoGES). Results More than five million SNPs from 58,406 participants were analyzed. After meta-GWAS, 1,360 loci associated with estimated glomerular filtration rate (eGFR) at a genome-wide significant level (p = 5 × 10-8) were identified. Among them, 399 loci were validated with at least one other biomarker (blood urea nitrogen [BUN] or eGFRcysC) and 149 loci were validated using b
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