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基于贝叶斯统计的基因连锁分析方法

[Bayesian statistics-based method for genetic linkage analysis].

作者信息

Tang Zai-Xiang, Wang Xue-Feng, Wu Wen-Wen, Xu Chen-Wu

机构信息

Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China.

出版信息

Yi Chuan. 2006 Sep;28(9):1117-22. doi: 10.1360/yc-006-1117.

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.

摘要

贝叶斯学派作为重要的统计学派之一,与经典统计学不同,贝叶斯方法已在现代科学的许多领域中得到广泛应用。在本文中,我们讨论了贝叶斯方法在连锁分析中的应用,包括重组率的贝叶斯估计、基于贝叶斯因子的连锁检验以及通过马尔可夫链蒙特卡罗算法构建遗传连锁图谱的贝叶斯方法。使用SAS/IML软件进行了模拟研究和实际数据分析,从而验证了贝叶斯方法在遗传连锁分析中的有效性和实用性。

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