An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
نویسندگان
چکیده
We present an approach for genome-wide association analysis with improved power on the Wellcome Trust data consisting of seven common phenotypes and shared controls. We achieved improved power by expanding the control set to include other disease cohorts, multiple races, and closely related individuals. Within this setting, we conducted exhaustive univariate and epistatic interaction association analyses. Use of the expanded control set identified more known associations with Crohn's disease and potential new biology, including several plausible epistatic interactions in several diseases. Our work suggests that carefully combining data from large repositories could reveal many new biological insights through increased power. As a community resource, all results have been made available through an interactive web server.
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CORRIGENDUM: An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
The authors have noticed that the original version of this Article contained a typographical error in the spelling of the author Hoifung Poon which was incorrectly given as Hoifung Poong. Furthermore, the author Jeff Baxter was incorrectly listed as Scott Baxter. These changes have now been corrected in both the PDF and HTML versions of the Article. SUBJECT AREAS: STATISTICAL METHODS MACHINE LE...
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