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

Andrew P Morris, Benjamin F Voight, Tanya M Teslovich, Teresa Ferreira, Ayellet V Segrè, Valgerdur Steinthorsdottir, Rona J Strawbridge, Abid Hassan Khan, Harald Grallert, Anubha Mahajan, Inga Prokopenko, Hyun Min Kang, Christian Dina, Tonu Esko, Ross M Fraser, Stavroula Kanoni, Ashish Kumar, Vasiliki Lagou, Claudia Langenberg, Jian'an LuanCecilia M Lindgren, Martina Müller-Nurasyid, Sonali Pechlivanis, N William Rayner, Laura J Scott, Steven Wiltshire, Loic Yengo, Leena Kinnunen, Elizabeth J Rossin, Soumya Raychaudhuri, Andrew D Johnson, Antigone S Dimas, Ruth J F Loos, Sailaja Vedantam, Han Chen, Jose C Florez, Caroline Fox, Ching-Ti Liu, Denis Rybin, David J Couper, Wen Hong L Kao, Man Li, Marilyn C Cornelis, Peter Kraft, Qi Sun, Rob M van Dam, Heather M Stringham, Anna Elisabet Jonsson, Lars Lind, Inger Njølstad, Wellcome Trust Case Control Consortium

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Abstract

To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.
OriginalsprogEngelsk
TidsskriftNature Genetics
Vol/bind44
Udgave nummer9
Sider (fra-til)981-90
Antal sider10
ISSN1061-4036
DOI
StatusUdgivet - sep. 2012

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