作者
1958 Birth Cohort Controls Jones Richard W. 18 McArdle Wendy L. 18 Ring Susan M. 18 Strachan David P. 19 Pembrey Marcus 18 20, Type 1 Diabetes Clayton David G. 2 Dunger David B. 2 41 Nutland Sarah 2 Stevens Helen E. 2 Walker Neil M. 2 Widmer Barry 2 41 Todd John A. 2, Tuberculosis Newport Melanie 47 Sirugo Giorgio (Gambia) 47 Lyons Emily 3 Vannberg Fredrik 3 Hill Adrian VS (Oxford) 3, Ankylosing Spondylitis Bradbury Linda A. 48 Farrar Claire 49 Pointon Jennifer J. 48 Wordsworth Paul 49 Brown Matthew A. 48 49, Autoimmune Thyroid Disease Franklyn Jayne A. 50 Heward Joanne M. 50 Simmonds Matthew J. 50 Gough Stephen CL 50, Breast Cancer Seal Sheila 51 Susceptibility Collaboration (UK) Breast Cancer 55 Stratton Michael R. 51 52 Rahman Nazneen 51, Multiple Sclerosis Ban Maria 53 Goris An 53 Sawcer Stephen J. 53 Compston Alastair 53, Gambian Controls Conway David 47 Jallow Muminatou 47 Newport Melanie 47 Sirugo Giorgio (Gambia) 47 Rockett Kirk A. 3 Kwiatkowski Dominic P.(Oxford) 3 5
发表日期
2007/6/7
期刊
Nature
卷号
447
期号
7145
页码范围
661-678
出版商
Nature Publishing Group UK
简介
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 ∼2,000 individuals for each of 7 major diseases and a shared set of ∼3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 × 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 replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the …
引用总数
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