Journal article
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
Anubha Mahajan, Min Jin Go, Weihua Zhang, Jennifer E Below, Kyle J Gaulton, Teresa Ferreira, Momoko Horikoshi, Andrew D Johnson, Maggie CY Ng, Inga Prokopenko, Danish Saleheen, Xu Wang, Eleftheria Zeggini, Goncalo R Abecasis, Linda S Adair, Peter Almgren, Mustafa Atalay, Tin Aung, Damiano Baldassarre, Beverley Balkau Show all
Nature Genetics | NATURE PUBLISHING GROUP | Published : 2014
DOI: 10.1038/ng.2897
Grants
Awarded by European Commission (ENGAGE FP7)
Awarded by Medical Research Council UK
Awarded by Mexico Convocatoria
Awarded by US National Institutes of Health
Awarded by Wellcome Trust
Awarded by EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Awarded by EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT
Awarded by NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES
Awarded by NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
Awarded by NATIONAL HUMAN GENOME RESEARCH INSTITUTE
Awarded by NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
Awarded by NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
Awarded by Grants-in-Aid for Scientific Research
Awarded by British Heart Foundation
Awarded by Medical Research Council
Awarded by National Institute for Health Research
Awarded by Novo Nordisk Fonden
Awarded by Chief Scientist Office
Funding Acknowledgements
Funding for the research undertaken in this study has been received from the following: the Canadian Institutes of Health Research; the European Commission (ENGAGE FP7 HEALTH-F4-2007-201413); the Medical Research Council UK (G0601261); the Mexico Convocatoria (SSA/IMMS/ISSSTE-CONACYT 2012-2, clave 150352, IMSS R-2011-785-018 and CONACYT Salud-2007-C01-71068); the US National Institutes of Health (DK062370, HG000376, DK085584, DK085545, DK073541 and DK085501); and the Wellcome Trust (WT098017, WT090532, WT090367, WT098381, WT081682 and WT085475). We acknowledge the many colleagues who contributed to collection and phenotypic characterization of the clinical samples and the genotyping and analysis of the GWAS data, full details of which are provided in the contributing consortia papers<SUP>5,11,13,15</SUP>. We also thank those individuals who agreed to participate in this study.