A Comparison Study of Fixed and Mixed Effect Models for Gene Level Association Studies of Complex Traits.

ABSTRACT: In association studies of complex traits, fixed-effect regression models are usually used to test for association between traits and major gene loci. In recent years, variance-component tests based on mixed models were developed for region-based genetic variant association tests. In the mixed models, the association is tested by a null hypothesis of zero variance via a sequence kernel association test (SKAT), its optimal unified test (SKAT-O), and a combined sum test of rare and common variant effect (SKAT-C). Although there are some comparison studies to evaluate the performance of mixed and fixed models, there is no systematic analysis to determine when the mixed models perform better and when the fixed models perform better. Here we evaluated, based on extensive simulations, the perform

SUBMITTER: Fan R 

PROVIDER: S-EPMC5567849 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature