Comparison of methods to account for relatedness in genome-wide association studies with family-based data.

ABSTRACT: Approaches based on linear mixed models (LMMs) have recently gained popularity for modelling population substructure and relatedness in genome-wide association studies. In the last few years, a bewildering variety of different LMM methods/software packages have been developed, but it is not always clear how (or indeed whether) any newly-proposed method differs from previously-proposed implementations. Here we compare the performance of several LMM approaches (and software implementations, including EMMAX, GenABEL, FaST-LMM, Mendel, GEMMA and MMM) via their application to a genome-wide association study of visceral leishmaniasis in 348 Brazilian families comprising 3626 individuals (1972 genotyped). The implementations differ in precise details of methodology implemented and through various

SUBMITTER: Eu-Ahsunthornwattana J 

PROVIDER: S-EPMC4102448 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature