A unified framework for association analysis with multiple related phenotypes.

ABSTRACT: We consider the problem of assessing associations between multiple related outcome variables, and a single explanatory variable of interest. This problem arises in many settings, including genetic association studies, where the explanatory variable is genotype at a genetic variant. We outline a framework for conducting this type of analysis, based on Bayesian model comparison and model averaging for multivariate regressions. This framework unifies several common approaches to this problem, and includes both standard univariate and standard multivariate association tests as special cases. The framework also unifies the problems of testing for associations and explaining associations - that is, identifying which outcome variables are associated with genotype. This provides an alternative to

SUBMITTER: Stephens M 

PROVIDER: S-EPMC3702528 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature