[Advances in researches on application of Bayesian methods to QTL mapping].
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.
Ao
Yan
Y
Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China.
Zhu
Ming-Xing
MX
Xu
Chen-Wu
CW
D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000379:methods* / Q000639:trends; D040641:Quantitative Trait Loci