rs11066065 - MAPKAPK5
Magnitude 2.0 · 2 studies on file
Reported associations
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Genome-wide association study and fine-mapping on Korean biobank to discover renal trait-associated variants - Kidney research and clinical practice (2024) · Lee DJ, Moon JS, Song DK, Lee YS, Kim DS, Cho NJ, Gil HW, Lee EY, Park S · 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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A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity - The European respiratory journal (2021) · Zhu Z, Li J, Si J, Ma B, Shi H, Lv J, Cao W, Guo Y, Millwood IY, Walters RG, Lin K, Yang L, Chen Y, Du H, Yu B, Hasegawa K, Camargo CA, Moffatt MF, Cookson WOC, Chen J, Chen Z, Li L, Yu C, Liang L · PubMed 33766948
ABSTRACT: Background Lung function is a heritable complex phenotype with obesity being one of its important risk factors. However, knowledge of their shared genetic basis is limited. Most genome-wide association studies (GWASs) for lung function have been based on European populations, limiting the generalisability across populations. Large-scale lung function GWASs in other populations are lacking. Methods We included 100 285 subjects from the China Kadoorie Biobank (CKB). To identify novel loci for lung function, single-trait GWAS analyses were performed on forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC in the CKB. We then performed genome-wide cross-trait analysis between lung function and obesity traits (body mass index (BMI), BMI-adjusted waist-to
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