遗传 ›› 2006, Vol. 28 ›› Issue (9): 1117-1122.

• 技术与方法 • 上一篇    下一篇

基于贝叶斯统计的遗传连锁分析方法

汤在祥; 王学枫; 吴雯雯; 徐辰武   

  1. 扬州大学江苏省作物遗传生理重点实验室, 扬州225009
  • 收稿日期:2005-10-31 修回日期:2006-02-21 出版日期:2006-09-01 发布日期:2006-09-01
  • 通讯作者: 汤在祥

Bayesian Statistics-Based Method for Genetic Linkage Analysis

TANG Zai-Xiang; WANG Xue-Feng; WU Wen-Wen; XU Chen-Wu

  

  1. Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
  • Received:2005-10-31 Revised:2006-02-21 Online:2006-09-01 Published:2006-09-01
  • Contact: TANG Zai-Xiang

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

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.

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