Linear mixed models for association analysis of quantitative traits with next-generation sequencing data.

ABSTRACT: We develop linear mixed models (LMMs) and functional linear mixed models (FLMMs) for gene-based tests of association between a quantitative trait and genetic variants on pedigrees. The effects of a major gene are modeled as a fixed effect, the contributions of polygenes are modeled as a random effect, and the correlations of pedigree members are modeled via inbreeding/kinship coefficients. F -statistics and χ ² likelihood ratio test (LRT) statistics based on the LMMs and FLMMs are constructed to test for association. We show empirically that the F -distributed statistics provide a good control of the type I erro

SUBMITTER: Chiu CY 

PROVIDER: S-EPMC6375753 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature