Analyze multivariate phenotypes in genetic association studies by combining univariate association tests.

ABSTRACT: Multivariate phenotypes are frequently encountered in genome-wide association studies (GWAS). Such phenotypes contain more information than univariate phenotypes, but how to best exploit the information to increase the chance of detecting genetic variant of pleiotropic effect is not always clear. Moreover, when multivariate phenotypes contain a mixture of quantitative and qualitative measures, limited methods are applicable. In this paper, we first evaluated the approach originally proposed by O'Brien and by Wei and Johnson that combines the univariate test statistics and then we proposed two extensions to that approach. The original and proposed approaches are applicable to a multivariate phenotype containing any type of components including continuous, categorical and survival phenotypes

SUBMITTER: Yang Q 

PROVIDER: S-EPMC3090041 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature