An approximate Bayesian significance test for genomic evaluations.

ABSTRACT: Genomic information can be used to study the genetic architecture of some trait. Not only the size of the genetic effect captured by molecular markers and their position on the genome but also the mode of inheritance, which might be additive or dominant, and the presence of interactions are interesting parameters. When searching for interacting loci, estimating the effect size and determining the significant marker pairs increases the computational burden in terms of speed and memory allocation dramatically. This study revisits a rapid Bayesian approach (fastbayes). As a novel contribution, a measure of evidence is derived to select markers with effect significantly different from zero. It is based on the credibility of the highest posterior density interval next to zero in a marginalized

SUBMITTER: Wittenburg D 

PROVIDER: S-EPMC6282823 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature