Journal article

Genome-wide association study to identify genetic determinants of severe asthma

YI Wan, NRG Shrine, M Soler Artigas, LV Wain, JD Blakey, MF Moffatt, A Bush, KF Chung, WOCM Cookson, DP Strachan, L Heaney, BAH Al-Momani, AH Mansur, S Manney, NC Thomson, R Chaudhuri, CE Brightling, M Bafadhel, A Singapuri, R Niven Show all

THORAX | B M J PUBLISHING GROUP | Published : 2012


BACKGROUND: The genetic basis for developing asthma has been extensively studied. However, association studies to date have mostly focused on mild to moderate disease and genetic risk factors for severe asthma remain unclear. OBJECTIVE: To identify common genetic variants affecting susceptibility to severe asthma. METHODS: A genome-wide association study was undertaken in 933 European ancestry individuals with severe asthma based on Global Initiative for Asthma (GINA) criteria 3 or above and 3346 clean controls. After standard quality control measures, the association of 480 889 genotyped single nucleotide polymorphisms (SNPs) was tested. To improve the resolution of the association signals ..

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Awarded by Medical Research Council

Awarded by Wellcome Trust

Awarded by MRC

Awarded by National Health and Medical Research Council of Australia

Awarded by Asthma UK


Funding Acknowledgements

We acknowledge support of Asthma UK, the Wellcome Trust and the Medical Research Council. Specifically, we acknowledge use of phenotype and genotype data from the British 1958 Birth Cohort DNA collection, funded by the Medical Research Council grant G0000934 and the Wellcome Trust grant 068545/Z/02 ( Genotyping for the B58C-WTCCC subset was funded by the Wellcome Trust grant 076113/B/04/Z. The B58C-T1DGC genotyping utilised resources provided by the Type 1 Diabetes Genetics Consortium, a collaborative clinical study sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Allergy and Infectious Diseases (NIAID), National Human Genome Research Institute (NHGRI), National Institute of Child Health and Human Development (NICHD), and Juvenile Diabetes Research Foundation International (JDRF) and supported by U01 DK062418. B58C-T1DGC GWAS data were deposited by the Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research (CIMR), University of Cambridge, which is funded by Juvenile Diabetes Research Foundation International, the Wellcome Trust and the National Institute for Health Research Cambridge Biomedical Research Centre; the CIMR is in receipt of a Wellcome Trust Strategic Award (079895). CEB is funded as a Wellcome Trust Senior Clinical Fellow. MDT has been supported by MRC fellowships G0501942 and G0902313. The Australian Asthma Genetics Consortium is funded by the National Health and Medical Research Council of Australia (613627).