Powerful and robust cross-phenotype association test for case-parent trios.

ABSTRACT: There has been increasing interest in identifying genes within the human genome that influence multiple diverse phenotypes. In the presence of pleiotropy, joint testing of these phenotypes is not only biologically meaningful but also statistically more powerful than univariate analysis of each separate phenotype accounting for multiple testing. Although many cross-phenotype association tests exist, the majority of such methods assume samples composed of unrelated subjects and therefore are not applicable to family-based designs, including the valuable case-parent trio design. In this paper, we describe a robust gene-based association test of multiple phenotypes collected in a case-parent trio study. Our method is based on the kernel distance covariance (KDC) method, where we first construc

SUBMITTER: Fischer ST 

PROVIDER: S-EPMC6013339 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature