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. Segre, Valgerdur Steinthorsdottir, Rona J. Strawbridge, 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 Mueller-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, Emmi Tikkanen, Tom Forsen, Johan G. Eriksson, Leena Palotie, Tiinamaija Tuomi, Bo Isomaa, Jaakko Tuomilehto, Samuli Ripatti, Wellcome Trust Case Control, Meta-Anal Glucose Insulin-Related, Genetic Invest ANthropometric, Asian Genetic Epidemiology, S Asian Type 2 Diabet SAT2D, DIAbet Genetics Replication

Research output: Contribution to journalArticleScientificpeer-review

Translated title of the contributionLarge-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
Original languageEnglish
JournalNature Genetics
Volume44
Issue number9
Pages (from-to)981-990
Number of pages10
ISSN1061-4036
DOIs
Publication statusPublished - 1 Sep 2012
MoE publication typeA1 Journal article-refereed

Bibliographical note

WOS:000308491200009
Volume:
Proceeding volume:

Fields of Science

  • 3111 Biomedicine
  • 3121 General medicine, internal medicine and other clinical medicine

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