Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

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作者
Eleftheria Zeggini
Laura J Scott
Richa Saxena
Benjamin F Voight
Jonathan L Marchini
Tianle Hu
Paul IW de Bakker
Gonçalo R Abecasis
Peter Almgren
Gitte Andersen
Kristin Ardlie
Kristina Bengtsson Boström
Richard N Bergman
Lori L Bonnycastle
Knut Borch-Johnsen
Noël P Burtt
Hong Chen
Peter S Chines
Mark J Daly
Parimal Deodhar
Chia-Jen Ding
Alex S F Doney
William L Duren
Katherine S Elliott
Michael R Erdos
Timothy M Frayling
Rachel M Freathy
Lauren Gianniny
Harald Grallert
Niels Grarup
Christopher J Groves
Candace Guiducci
Torben Hansen
Christian Herder
Graham A Hitman
Thomas E Hughes
Bo Isomaa
Anne U Jackson
Torben Jørgensen
Augustine Kong
Kari Kubalanza
Finny G Kuruvilla
Johanna Kuusisto
Claudia Langenberg
Hana Lango
Torsten Lauritzen
Yun Li
Cecilia M Lindgren
Valeriya Lyssenko
Amanda F Marvelle
机构
[1] Wellcome Trust Centre for Human Genetics,Department of Biostatistics and Center for Statistical Genetics
[2] University of Oxford,Department of Medicine
[3] University of Michigan,Department of Molecular Biology
[4] Broad Institute of Harvard and Massachusetts Institute of Technology (MIT),Department of Medicine
[5] Center for Human Genetic Research,Department of Genetics
[6] Massachusetts General Hospital,Department of Statistics
[7] Massachusetts General Hospital,Division of Genetics
[8] Massachusetts General Hospital,Department of Clinical Sciences
[9] Harvard Medical School,Department of Physiology and Biophysics
[10] Harvard Medical School,Division of Medicine and Therapeutics
[11] University of Oxford,Department of Medicine
[12] Brigham and Women's Hospital,Department of General Practice
[13] Harvard-Partners Center for Genetics and Genomics,Department of Genetics
[14] Diabetes and Endocrinology Research Unit,Department of Public Health and General Practice
[15] University Hospital Malmö,Department of Cancer Research and Molecular Medicine
[16] Lund University,Departments of Nutrition and Epidemiology
[17] Steno Diabetes Center,Department of Medicine
[18] Skaraborg Institute,Department of Medicine
[19] Keck School of Medicine,Department of Epidemiology and Health Promotion
[20] University of Southern California,Department of Public Health
[21] Genome Technology Branch,Department of Preventative Medicine
[22] National Human Genome Research Institute,undefined
[23] Faculty of Health Science,undefined
[24] University of Aarhus,undefined
[25] Diabetes and Metabolism Disease Area,undefined
[26] Novartis Institutes for BioMedical Research,undefined
[27] Diabetes Research Group,undefined
[28] Ninewells Hospital and Medical School,undefined
[29] Genetics of Complex Traits,undefined
[30] Institute of Biomedical and Clinical Science,undefined
[31] Peninsula Medical School,undefined
[32] Diabetes Genetics,undefined
[33] Institute of Biomedical and Clinical Science,undefined
[34] Peninsula Medical School,undefined
[35] Gesellschaft für Strahlenforschung-National Research Center for Environment and Health,undefined
[36] Institute of Epidemiology,undefined
[37] Oxford Centre for Diabetes,undefined
[38] Endocrinology and Metabolism,undefined
[39] University of Oxford,undefined
[40] Institute for Clinical Diabetes Research,undefined
[41] German Diabetes Center,undefined
[42] Leibniz Institute at Heinrich Heine University,undefined
[43] Centre for Diabetes and Metabolic Medicine,undefined
[44] Barts and The London,undefined
[45] Royal London Hospital,undefined
[46] Malmska Municipal Health Center and Hospital,undefined
[47] Folkhälsan Research Center,undefined
[48] Research Centre for Prevention and Health,undefined
[49] Glostrup University Hospital,undefined
[50] deCODE genetics,undefined
来源
Nature Genetics | 2008年 / 40卷
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摘要
Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D)1,2,3,4,5,6,7,8,9,10,11. Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and ∼2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 × 10−14), CDC123-CAMK1D (P = 1.2 × 10−10), TSPAN8-LGR5 (P = 1.1 × 10−9), THADA (P = 1.1 × 10−9), ADAMTS9 (P = 1.2 × 10−8) and NOTCH2 (P = 4.1 × 10−8) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.
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页码:638 / 645
页数:7
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