Journal article

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul R Burton, David G Clayton, Lon R Cardon, Nick Craddock, Panos Deloukas, Audrey Duncanson, Dominic P Kwiatkowski, Mark I McCarthy, Willem H Ouwehand, Nilesh J Samani, John A Todd, Peter Donnelly, Jeffrey C Barrett, Dan Davison, Doug Easton, David Evans, Hin-Tak Leung, Jonathan L Marchini, Andrew P Morris, Chris CA Spencer Show all

NATURE | NATURE PUBLISHING GROUP | Published : 2007

Abstract

There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 x 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and repli..

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