Open AccessLarge-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
Author(s) -
Robert A. Scott,
Vasiliki Lagou,
Ryan Welch,
Eleanor Wheeler,
May E. Montasser,
Jian’an Luan,
Reedik Mägi,
Rona J. Strawbridge,
Emil Rehnberg,
Stefan Gustafsson,
Stavroula Kai,
Laura J. RasmussenTorvik,
Loïc Yengo,
Cécile Lecœur,
Dmitry Shungin,
Serena Sanna,
Carlo Sidore,
Paul C. D. Johnson,
J Wouter Jukema,
Toby Johnson,
Anubha Mahajan,
Niek Verweij,
Guðmar Þorleifsson,
Jouke Jan Hottenga,
Sonia Shah,
Albert V. Smith,
Bengt Sennblad,
Christian Gieger,
Perttu Salo,
Markus Perola,
Nicholas J. Timpson,
David M. Evans
Publication year - 2012
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/qy4d-rv77
Subject(s) - association (psychology) , scale (ratio) , computational biology , genetic association , biology , glycemic , evolutionary biology , genome wide association study , genetics , diabetes mellitus , psychology , geography , cartography , single nucleotide polymorphism , genotype , endocrinology , gene , psychotherapist