首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Authors:Diabetes Genetics Initiative of Broad Institute of Harvard and MIT  Lund University  and Novartis Institutes of BioMedical Research  Saxena Richa  Voight Benjamin F  Lyssenko Valeriya  Burtt Noël P  de Bakker Paul I W  Chen Hong  Roix Jeffrey J  Kathiresan Sekar  Hirschhorn Joel N  Daly Mark J  Hughes Thomas E  Groop Leif  Altshuler David  Almgren Peter  Florez Jose C  Meyer Joanne  Ardlie Kristin  Bengtsson Boström Kristina  Isomaa Bo  Lettre Guillaume  Lindblad Ulf  Lyon Helen N  Melander Olle  Newton-Cheh Christopher  Nilsson Peter  Orho-Melander Marju  Råstam Lennart  Speliotes Elizabeth K  Taskinen Marja-Riitta
Institution:Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA.
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:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号