reviewPLoS GeneticsJun 4, 2009GOLD OA

Meta-Analysis of 28,141 Individuals Identifies Common Variants within Five New Loci That Influence Uric Acid Concentrations

MKMelanie KolzTJToby JohnsonSSSerena SannaATAlexander TeumerVVVéronique Vitart

Helmholtz Zentrum München · SIB Swiss Institute of Bioinformatics · +36 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Elevated serum uric acid levels cause gout and are a risk factor for cardiovascular disease and diabetes. To investigate the polygenetic basis of serum uric acid levels, we conducted a meta-analysis of genome-wide association scans from 14 studies totalling 28,141 participants of European descent, resulting in identification of 954 SNPs distributed across nine loci that exceeded the threshold of genome-wide significance, five of which are novel. Overall, the common variants associated with serum uric acid levels fall in the following nine regions: SLC2A9 (p = 5.2x10(-201)), ABCG2 (p = 3.1x10(-26)), SLC17A1 (p = 3.0x10(-14)), SLC22A11 (p = 6.7x10(-14)), SLC22A12 (p = 2.0x10(-9)), SLC16A9 (p = 1.1x10(-8)), GCKR…

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659
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Authors

58

Topics & keywords

Topics
Keywords
  • Biology
  • Uric acid
  • Genetics
  • Meta-analysis
  • Computational biology
  • Evolutionary biology
  • Bioinformatics
  • Internal medicine
UN Sustainable Development Goals
  • Good health and well-being
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