https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=17293876&retmode=xml&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=type+diabetes&datetype=edat&usehistory=y&retmax=5&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&WebEnv=MCID_679579b1d8b8f26537050777&query_key=1&retmode=xml&retmax=5&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908 A genome-wide association study identifies novel risk loci for type 2 diabetes. | LitMetric

Type 2 diabetes mellitus results from the interaction of environmental factors with a combination of genetic variants, most of which were hitherto unknown. A systematic search for these variants was recently made possible by the development of high-density arrays that permit the genotyping of hundreds of thousands of polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a French case-control cohort. Markers with the most significant difference in genotype frequencies between cases of type 2 diabetes and controls were fast-tracked for testing in a second cohort. This identified four loci containing variants that confer type 2 diabetes risk, in addition to confirming the known association with the TCF7L2 gene. These loci include a non-synonymous polymorphism in the zinc transporter SLC30A8, which is expressed exclusively in insulin-producing beta-cells, and two linkage disequilibrium blocks that contain genes potentially involved in beta-cell development or function (IDE-KIF11-HHEX and EXT2-ALX4). These associations explain a substantial portion of disease risk and constitute proof of principle for the genome-wide approach to the elucidation of complex genetic traits.

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http://dx.doi.org/10.1038/nature05616DOI Listing

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