
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
Author(s) -
Eleftheria Zeggini,
Laura J. Scott,
Richa Saxena,
Benjamin F. Voight,
Jonathan Marchini,
Tianle Hu,
Paul Iw de Bakker,
Gonçalo R. Abecasis,
Peter Almgren,
Gary L. Andersen,
Kristin Ardlie,
Kristina Bengtsson Boström,
Richard N. Bergman,
Lori L. Bonnycastle,
Knut BorchJohnsen,
Noël P. Burtt,
Hong Chen,
Peter S. Chines,
Mark J. Daly,
Parimal Deodhar,
Chia-Jen Ding,
Alex S. F. Doney,
William L Duren,
Katherine S. Elliott,
Michael R. Erdos,
Timothy M. Frayling,
Rachel M. Freathy,
Lauren Gianniny,
Harald Grallert,
Niels Grarup,
Christopher J. Groves,
Candace Guiducci
Publication year - 2008
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/55vz-3f21
Subject(s) - replication (statistics) , genome wide association study , genetics , biology , computational biology , scale (ratio) , genetic association , single nucleotide polymorphism , geography , gene , cartography , genotype , virology