A Bayesian Approach to the Overlap Analysis of Epidemiologically Linked Traits.

ABSTRACT: Diseases often cooccur in individuals more often than expected by chance, and may be explained by shared underlying genetic etiology. A common approach to genetic overlap analyses is to use summary genome-wide association study data to identify single-nucleotide polymorphisms (SNPs) that are associated with multiple traits at a selected P-value threshold. However, P-values do not account for differences in power, whereas Bayes' factors (BFs) do, and may be approximated using summary statistics. We use simulation studies to compare the power of frequentist and Bayesian approaches with overlap analyses, and to decide on appropriate thresholds for comparison between the two methods. It is empirically illustrated that BFs have the advantage over P-values of a decreasing type I error rate as st

SUBMITTER: Asimit JL 

PROVIDER: S-EPMC4832282 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature