Advantages and pitfalls in the application of mixed-model association methods.

ABSTRACT: Mixed linear models are emerging as a method of choice for conducting genetic association studies in humans and other organisms. The advantages of the mixed-linear-model association (MLMA) method include the prevention of false positive associations due to population or relatedness structure and an increase in power obtained through the application of a correction that is specific to this structure. An underappreciated point is that MLMA can also increase power in studies without sample structure by implicitly conditioning on associated loci other than the candidate locus. Numerous variations on the standard MLMA approach have recently been published, with a focus on reducing computational cost. These advances provide researchers applying MLMA methods with many options to choose from, but

SUBMITTER: Yang J 

PROVIDER: S-EPMC3989144 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature