基于贝叶斯统计的遗传连锁分析方法  

Bayesian Statistics-Based Method for Genetic Linkage Analysis

作　　者：汤在祥[1] 王学枫[1] 吴雯雯[1] 徐辰武[1] 

机构地区：[1]扬州大学江苏省作物遗传生理重点实验室,扬州225009

出　　处：《遗传》2006年第9期1117-1122,共6页Hereditas（Beijing)

基　　金：国家自然科学基金项目资助(编号:30270724)~~

摘　　要：贝叶斯学派是不同于经典数理统计的一个重要学派,其发展的贝叶斯统计方法在现代科学的许多领域已有着广泛的应用。探讨了贝叶斯统计在遗传连锁分析中的应用,包括遗传重组率的贝叶斯估计、遗传连锁的贝叶斯因子检验和基于马尔可夫链蒙特卡罗理论的遗传连锁图谱构建。用编制的SAS/IML程序进行了模拟研究和实例分析,验证了贝叶斯方法在遗传连锁分析中的有效性和实用性。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.

关 键 词：贝叶斯统计 重组率 马尔可夫链蒙特卡罗 Metropolis-Hastings算法 

分 类 号：Q343-3[生物学—遗传学]