Large-Scale Association Analyses Identify New Loci Influencing Glycemic Traits and Provide Insight into the Underlying Biological Pathways
Scott, Robert A.; Lagou, Vasiliki; Welch, Ryan P.; Wheeler, Eleanor; Montasser, May E.; Luan, Jian'an; Magi, Reedik; Strawbridge, Rona J.; Rehnberg, Emil; Gustafsson, Stefan; Kanoni, Stavroula; Rasmussen-Torvik, Laura J.; Yengo, Loic; Lecoeur, Cecile; Shungin, Dmitry; Sanna, Serena; Sidore, Carlo; Johnson, Paul C. D.; Jukema, J. Wouter; Johnson, Toby; Mahajan, Anubha; Verweij, Niek; Thorleifsson, Gudmar; Hottenga, Jouke-Jan; Shah, Sonia; Smith, Albert V.; Sennblad, Bengt; Gieger, Christian; Salo, Perttu; Perola, Markus; Timpson, Nicholas J.; Evans, David M.; Pourcain, Beate St.; Wu, Ying; Andrews, Jeanette S.; Hui, Jennie; Bielak, Lawrence F; Zhao, Wei; Horikoshi, Momoko; Navarro, Pau; Isaacs, Aaron; O'Connell, Jeffrey R.; Stirrups, Kathleen; Vitart, Veronique; Hayward, Caroline; Esko, Tonu; Mihailov, Evelin; Fraser, Ross M.; Fall, Tove; Voight, Benjamin F.; Raychaudhuri, Soumya; Chen, Han; Lindgren, Cecilia M.; Morris, Andrew P.; Rayner, Nigel W.; Robertson, Neil; Rybin, Denis; Liu, Ching-Ti; Beckmann, Jacques S.; Willems, Sara M.; Chines, Peter S.; Jackson, Anne U.; Kang, Hyun Min; Stringham, Heather M.; Song, Kijoung; Tanaka, Toshiko; Peden, John F.; Goel, Anuj; Hicks, Andrew A.; An, Ping; Muller-Nurasyid, Martina; Franco-Cereceda, Anders; Folkersen, Lasse; Marullo, Letizia; Jansen, Hanneke; Oldehinkel, Albertine J.; Bruinenberg, Marcel; Pankow, James S.; North, Kari E.; Forouhi, Nita G.; Loos, Ruth J. F.; Edkins, Sarah; Varga, Tibor V.; Hallmans, Goran; Oksa, Heikki; Antonella, Mulas; Nagaraja, Ramaiah; Trompet, Stella; Ford, Ian; Bakker, Stephan J. L.; Kong, Augustine; Kumari, Meena; Gigante, Bruna; Herder, Christian; Munroe, Patricia B.; Caulfield, Mark; Antti, Jula; Mangino, Massimo; Small, Kerrin; & Miljkovic, Iva, et al. (Forthcoming). Large-Scale Association Analyses Identify New Loci Influencing Glycemic Traits and Provide Insight into the Underlying Biological Pathways. Nature Genetics.
Journal Article
Scott, Robert A. Lagou, Vasiliki Welch, Ryan P. Wheeler, Eleanor Montasser, May E. Luan, Jian'an Magi, Reedik Strawbridge, Rona J. Rehnberg, Emil Gustafsson, Stefan Kanoni, Stavroula Rasmussen-Torvik, Laura J. Yengo, Loic Lecoeur, Cecile Shungin, Dmitry Sanna, Serena Sidore, Carlo Johnson, Paul C. D. Jukema, J. Wouter Johnson, Toby Mahajan, Anubha Verweij, Niek Thorleifsson, Gudmar Hottenga, Jouke-Jan Shah, Sonia Smith, Albert V. Sennblad, Bengt Gieger, Christian Salo, Perttu Perola, Markus Timpson, Nicholas J. Evans, David M. Pourcain, Beate St. Wu, Ying Andrews, Jeanette S. Hui, Jennie Bielak, Lawrence F Zhao, Wei Horikoshi, Momoko Navarro, Pau Isaacs, Aaron O'Connell, Jeffrey R. Stirrups, Kathleen Vitart, Veronique Hayward, Caroline Esko, Tonu Mihailov, Evelin Fraser, Ross M. Fall, Tove Voight, Benjamin F. Raychaudhuri, Soumya Chen, Han Lindgren, Cecilia M. Morris, Andrew P. Rayner, Nigel W. Robertson, Neil Rybin, Denis Liu, Ching-Ti Beckmann, Jacques S. Willems, Sara M. Chines, Peter S. Jackson, Anne U. Kang, Hyun Min Stringham, Heather M. Song, Kijoung Tanaka, Toshiko Peden, John F. Goel, Anuj Hicks, Andrew A. An, Ping Muller-Nurasyid, Martina Franco-Cereceda, Anders Folkersen, Lasse Marullo, Letizia Jansen, Hanneke Oldehinkel, Albertine J. Bruinenberg, Marcel Pankow, James S. North, Kari E. Forouhi, Nita G. Loos, Ruth J. F. Edkins, Sarah Varga, Tibor V. Hallmans, Goran Oksa, Heikki Antonella, Mulas Nagaraja, Ramaiah Trompet, Stella Ford, Ian Bakker, Stephan J. L. Kong, Augustine Kumari, Meena Gigante, Bruna Herder, Christian Munroe, Patricia B. Caulfield, Mark Antti, Jula Mangino, Massimo Small, Kerrin Miljkovic, Iva, et al.
Forthcoming
Nature Genetics
10.1038/ng.2385
5445
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 < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.