Meta-analysis of genome-wide association from genomic prediction models.

ABSTRACT: Genome-wide association (GWA) studies based on GBLUP models are a common practice in animal breeding. However, effect sizes of GWA tests are small, requiring larger sample sizes to enhance power of detection of rare variants. Because of difficulties in increasing sample size in animal populations, one alternative is to implement a meta-analysis (MA), combining information and results from independent GWA studies. Although this methodology has been used widely in human genetics, implementation in animal breeding has been limited. Thus, we present methods to implement a MA of GWA, describing the proper approach to compute weights derived from multiple genomic evaluations based on animal-centric GBLUP models. Application to real datasets shows that MA increases power of detection of associati

SUBMITTER: Bernal Rubio YL 

PROVIDER: S-EPMC4738412 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature