Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Robert A Scott, Vasiliki Lagou, Ryan P Welch, Eleanor Wheeler, May E Montasser, Jian'an Luan, Reedik Mägi, Rona J Strawbridge, Emil Rehnberg, Stefan Gustafsson, Stavroula Kanoni, Laura J Rasmussen-Torvik, Loïc Yengo, Cecile Lecoeur, Dmitry Shungin, Serena Sanna, Carlo Sidore, Paul C D Johnson, J Wouter Jukema, Toby JohnsonAnubha Mahajan, Niek Verweij, Gudmar Thorleifsson, Jouke-Jan Hottenga, Sonia Shah, Albert V Smith, Bengt Sennblad, Christian Gieger, Perttu Salo, Markus Perola, Nicholas J Timpson, David M Evans, Beate St Pourcain, Ying Wu, Jeanette S Andrews, Jennie Hui, Lawrence F Bielak, Wei Zhao, Momoko Horikoshi, Pau Navarro, Aaron Isaacs, Jeffrey R O'Connell, Kathleen Stirrups, Veronique Vitart, Caroline Hayward, Tõnu Esko, Evelin Mihailov, Ross M Fraser, Tove Fall, Kirsten O Kyvik, DIAGRAM Consortium

    Publikation: Bidrag til tidsskriftArtikelForskningpeer review

    Abstract

    Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q
    OriginalsprogEngelsk
    Sider (fra-til)991-1005
    Antal sider15
    TidsskriftNature Genetics
    Vol/bind44
    Udgave nummer9
    DOI
    StatusUdgivet - 2012

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