P-value based analysis for shared controls design in genome-wide association studies.

ABSTRACT: An appealing genome-wide association study design compares one large control group against several disease samples. A pioneering study by the Wellcome Trust Case Control Consortium that employed such a design has identified multiple susceptibility regions, many of which have been independently replicated. While reusing a control sample provides effective utilization of data, it also creates correlation between association statistics across diseases. An observation of a large association statistic for one of the diseases may greatly increase chances of observing a spuriously large association for a different disease. Accounting for the correlation is also particularly important when screening for SNPs that might be involved in a set of diseases with overlapping etiology. We describe methods

SUBMITTER: Zaykin DV 

PROVIDER: S-EPMC3190645 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature