Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

2007 Science 2,875 citations

Abstract

New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (SNPs) in 1464 patients with T2D and 1467 matched controls, each characterized for measures of glucose metabolism, lipids, obesity, and blood pressure. With collaborators (FUSION and WTCCC/UKT2D), we identified and confirmed three loci associated with T2D—in a noncoding region near CDKN2A and CDKN2B , in an intron of IGF2BP2 , and an intron of CDKAL1 —and replicated associations near HHEX and in SLC30A8 found by a recent whole-genome association study. We identified and confirmed association of a SNP in an intron of glucokinase regulatory protein (GCKR) with serum triglycerides. The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.

Keywords

BiologySingle-nucleotide polymorphismGeneticsGenome-wide association studyGenetic associationType 2 diabetesIntronSNPGeneDiabetes mellitusGenotypeEndocrinology

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Publication Info

Year
2007
Type
article
Volume
316
Issue
5829
Pages
1331-1336
Citations
2875
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Richa Saxena, Benjamin F. Voight, Valeriya Lyssenko et al. (2007). Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels. Science , 316 (5829) , 1331-1336. https://doi.org/10.1126/science.1142358

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DOI
10.1126/science.1142358