Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models.

ABSTRACT: In genetics, pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. A common approach is to analyze the phenotypic traits separately using univariate analyses and combine the test results through multiple comparisons. This approach may lead to low power. Multivariate functional linear models are developed to connect genetic variant data to multiple quantitative traits adjusting for covariates for a unified analysis. Three types of approximate F-distribution tests based on Pillai-Bartlett trace, Hotelling-Lawley trace, and Wilks's Lambda are introduced to test for association between multiple quantitative traits and multiple genetic variants in one genetic region. The approximate F-distribution tests provide much more significant results than those of F-test

SUBMITTER: Wang Y 

PROVIDER: S-EPMC4443751 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature