title: [Bayesian statistics-based method for genetic linkage analysis].
abstract: Bayesian School as one of the important statistical schools is different from the Classical Statistics, and the Bayesian methods have been widely used in many fields of modern sciences. In the present paper, we discussed the application of Bayesian method in linkage analysis, including the Bayesian estimation of recombination fraction, linkage testing based on the Bayes Factor and the Bayesian approach for genetic linkage map construction via Markov chain Monte Carlo algorithm. Simulation study and real data analysis were performed using SAS/IML software, and the validity and practicability of Bayesian method in genetic linkage analysis were thus verified.
authors.affiliation: Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China.
authors.forename: Zai-Xiang
authors.initials: ZX
authors.lastname: Tang
authors.forename: Xue-Feng
authors.initials: XF
authors.lastname: Wang
authors.forename: Wen-Wen
authors.initials: WW
authors.lastname: Wu
authors.forename: Chen-Wu
authors.initials: CW
authors.lastname: Xu
mesh_terms: D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000379:methods*; D008040:Genetic Linkage; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D011995:Recombination, Genetic