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基于贝叶斯统计的遗传连锁分析方法
引用本文:汤在祥,王学枫,吴雯雯,徐辰武.基于贝叶斯统计的遗传连锁分析方法[J].遗传,2006,28(9):1117-1122.
作者姓名:汤在祥  王学枫  吴雯雯  徐辰武
作者单位:扬州大学江苏省作物遗传生理重点实验室, 扬州225009
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。

关 键 词:马尔可夫链蒙特卡罗  Metropolis-Hastings算法  重组率  贝叶斯统计  
文章编号:0253-9772(2006)09-1117-06
收稿时间:2005-10-31
修稿时间:2006-02-21

Bayesian Statistics-Based Method for Genetic Linkage Analysis
TANG Zai-Xiang,WANG Xue-Feng,WU Wen-Wen,XU Chen-Wu.Bayesian Statistics-Based Method for Genetic Linkage Analysis[J].Hereditas,2006,28(9):1117-1122.
Authors:TANG Zai-Xiang  WANG Xue-Feng  WU Wen-Wen  XU Chen-Wu
Institution:Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
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.
Keywords:Bayesian statistics  recombination fraction  Markov chain Monte Carlo  Metropolis-Hastings algorithm
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