A comparison of Bayesian methods for haplotype reconstruction from population genotype data
A comparison of Bayesian methods for haplotype reconstruction from population genotype data
复制标题
DOI：
10.1086/379378
复制
发表时间：
2003-11-01
影响因子：
9.8
通讯作者：
Donnelly, P
中科院分区：
文献类型：
--
作者：
Stephens, M;Donnelly, P
在这份报告中，我们比较和对比三个以前发表的贝叶斯方法推断单倍型的基因型数据在人口样本。我们审查的方法，强调他们之间的差异，他们使用的模型（“先验”）和他们采用的计算策略。我们引入了一种新的算法，结合了一种方法的建模策略与另一种方法的计算策略。在使用真实的和模拟数据的比较中，新算法优于所有现有的三种方法。新算法已列入PHASE软件包2.0版，可在线查阅（http：//www.stat.washington.edu/stephens/software.html）。
In this report, we compare and contrast three previously published Bayesian methods for inferring haplotypes from genotype data in a population sample. We review the methods, emphasizing the differences between them in terms of both the models ("priors") they use and the computational strategies they employ. We introduce a new algorithm that combines the modeling strategy of one method with the computational strategies of another. In comparisons using real and simulated data, this new algorithm outperforms all three existing methods. The new algorithm is included in the software package PHASE, version 2.0, available online( http://www.stat.washington.edu/stephens/software.html).