In many cases, Bayesian methods can solve problems of interest more directly than a classical approach. Its utility lies on the incorporation of prior information. In recent years, with the development of high-speed computer and advances of MCMC algorithm, Bayesian methods have been employed in many genetic areas, such as population genetics, molecular evolution, linkage mapping, and quantitative genetics and so on. In this review, we reviewed the development of Bayesian approaches for quantitative trait locus (QTL) mapping in quantitative genetics.