Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

被引：0
作者：
机构：
[1] Wellcome Trust Centre for Human Genetics,Department of Pharmacology
[2] University of Oxford,Department of Biostatistics
[3] Broad Institute of Harvard and Massachusetts Institute of Technology (MIT),Department of Medicine
[4] University of Pennsylvania–Perelman School of Medicine,Department of Medicine Solna
[5] University of Michigan,Department of Public Health and Primary Care
[6] Center for Human Genetic Research,Department of Biology
[7] Massachusetts General Hospital,Department of Medicine I
[8] Harvard Medical School,Division of Rheumatology
[9] deCODE Genetics,Department of Genetic Medicine and Development
[10] Atherosclerosis Research Unit,Department of Preventive Medicine
[11] Karolinska Institutet,Division of Genetics and Endocrinology
[12] Center for Molecular Medicine,Department of Biostatistics
[13] Karolinska University Hospital Solna,Division of Endocrinology and Metabolism
[14] University of Cambridge,Department of Biostatistics
[15] Research Unit of Molecular Epidemiology,Department of Epidemiology
[16] Helmholtz Zentrum Muenchen,Department of Nutrition and Epidemiology
[17] Oxford Centre for Diabetes,Department of Medicine
[18] Endocrinology and Metabolism,Department of Public Health and General Practice
[19] University of Oxford,Department of Internal Medicine
[20] Institut National de la Santé et de la Recherche Médicale (INSERM) Unité Mixte de Recherche (UMR) 1087,Department of Medical Epidemiology and Biostatistics
[21] Centre National de la Recherche Scientifique (CNRS) UMR 6291,Department of Vascular Medicine
[22] Medicine and Health,Department of Medicine
[23] Nantes University,Department of Chronic Disease Prevention
[24] Estonian Genome Center,Department of Clinical Science Malmö
[25] University of Tartu,Department of Endocrinology and Metabolism
[26] Institute of Molecular and Cell Biology,Department of General Practice and Primary Health Care
[27] University of Tartu,Division of Cardiovascular Epidemiology
[28] Centre for Population Health Sciences,Department of Pulmonary Physiology and Sleep Medicine
[29] University of Edinburgh,Department of Genomics
[30] Wellcome Trust Sanger Institute,Department of Cardiology
[31] Medical Research Council (MRC) Epidemiology Unit,Department of Genetics
[32] Institute of Metabolic Science,Department of Clinical Chemistry and Central Laboratory
[33] Addenbrooke's Hospital,Department of Epidemiology
[34] Institute of Medical Informatics,Department of Internal Medicine
[35] Biometry and Epidemiology,Department of Medical Sciences
[36] Ludwig-Maximilians-Universität,Department of Medicine
[37] Institute of Genetic Epidemiology,Division of Endocrinology
[38] Helmholtz Zentrum Muenchen,Department of Medicine/Metabolic Diseases
[39] University Hospital Grosshadern,Department of Community Medicine
[40] Ludwig-Maximilians-Universität,Department of Clinical Physiology and Nuclear Medicine
[41] Institute for Medical Informatics,Department of Medical Sciences
[42] Biometry and Epidemiology,Department of Dietetics
[43] University Hospital of Essen,Nutrition
[44] University Duisburg-Essen,Department of Internal Medicine
[45] CNRS UMR 8199,Department of Medicine
[46] Institute of Biology and Lille 2 University,Department of Genetics
[47] Pasteur Institute,Division of Endocrinology and Diabetes, Department of Internal Medicine
[48] Laboratory of Mathematics,Department of Pharmacological Sciences
[49] CNRS UMR 8524,Department of Statistics
[50] University Lille 1,Division of Epidemiology and Community Health
来源：
Nature Genetics | 2012年 / 44卷
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摘要：
Mark McCarthy, Michael Boehnke, Andrew Morris and colleagues perform large-scale association analyses using the Metabochip to gain insights into the genetic architecture of type 2 diabetes. They report several new susceptibility loci, including two that show sex-differentiated effects on disease risk.
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页码：981 / 990
页数：9
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[1]  
Stumvoll M(2005)Type 2 diabetes: principles of pathogenesis and therapy Lancet 365 1333-1346
[2]  
Zeggini E(2008)Meta-analysis of genome-wide association data and large-scale replication identified additional susceptibility loci for type 2 diabetes Nat. Genet. 40 638-645
[3]  
Kong A(2009)Parental origin of sequence variants associated with complex diseases Nature 462 868-874
[4]  
Voight BF(2010)Twelve type 2 diabetes susceptibility loci identified through large scale association analysis Nat. Genet. 42 579-589
[5]  
Dupuis J(2010)New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk Nat. Genet. 42 105-116
[6]  
Qi L(2010)Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes Hum. Mol. Genet. 19 2706-2715
[7]  
Tsai F-J(2010)A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese PLoS Genet. 6 e1000847-868
[8]  
Shu XO(2010)Identification of new genetic risk variants for type 2 diabetes PLoS Genet. 6 e1001127-989
[9]  
Yamauchi T(2010)A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at Nat. Genet. 42 864-72
[10]  
Kooner JS(2011) and Nat. Genet. 43 984-775
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