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28 avril 2017
- doi: 10.1038/srep45040
- issn: 2045-2322
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M. Gorski et al., « 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. », Serveur académique Lausannois, ID : 10.1038/srep45040
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Résumé
HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value