A robust distribution-free test for genetic association studies of quantitative traits.

ABSTRACT: In association studies of quantitative traits, the association of each genetic marker with the trait of interest is typically tested using the F-test assuming an additive genetic model. In practice, the true model is rarely known, and specifying an incorrect model can lead to a loss of power. For case-control studies, the maximum of test statistics optimal for additive, dominant, and recessive models has been shown to be robust to model misspecification. The approach has later been extended to quantitative traits. However, the existing procedures assume that the trait is normally distributed and may not maintain correct type I error rates and can also have reduced power when the assumption of normality is violated. Here, we introduce a maximum (MAX3) test that is based on ranks and is ther

SUBMITTER: Kozlitina J 

PROVIDER: S-EPMC4788466 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature