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

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.