Bayesian refinement of association signals for 14 loci in 3 common diseases.
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ABSTRACT:
SUBMITTER: Wellcome Trust Case Control Consortium
PROVIDER: S-EPMC3791416 | biostudies-literature | 2012 Dec
REPOSITORIES: biostudies-literature
Publications
Bayesian refinement of association signals for 14 loci in 3 common diseases.
Maller Julian B JB McVean Gilean G Byrnes Jake J Vukcevic Damjan D Palin Kimmo K Su Zhan Z Howson Joanna M M JM Auton Adam A Myers Simon S Morris Andrew A Pirinen Matti M Brown Matthew A MA Burton Paul R PR Caulfield Mark J MJ Compston Alastair A Farrall Martin M Hall Alistair S AS Hattersley Andrew T AT Hill Adrian V S AV Mathew Christopher G CG Pembrey Marcus M Satsangi Jack J Stratton Michael R MR Worthington Jane J Craddock Nick N Hurles Matthew M Ouwehand Willem W Parkes Miles M Rahman Nazneen N Duncanson Audrey A Todd John A JA Kwiatkowski Dominic P DP Samani Nilesh J NJ Gough Stephen C L SC McCarthy Mark I MI Deloukas Panagiotis P Donnelly Peter P
Nature genetics 20121028 12
To further investigate susceptibility loci identified by genome-wide association studies, we genotyped 5,500 SNPs across 14 associated regions in 8,000 samples from a control group and 3 diseases: type 2 diabetes (T2D), coronary artery disease (CAD) and Graves' disease. We defined, using Bayes theorem, credible sets of SNPs that were 95% likely, based on posterior probability, to contain the causal disease-associated SNPs. In 3 of the 14 regions, TCF7L2 (T2D), CTLA4 (Graves' disease) and CDKN2A- ...[more]
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