Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach.
Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach.
复制标题
使用合并方法对两个种群的迁移率和有效种群数量进行最大似然估计。
DOI：
10.1093/genetics/152.2.763
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发表时间：
1999
期刊：
影响因子：
3.3
通讯作者：
Felsenstein,J
中科院分区：
文献类型：
--
作者：
Beerli,P;Felsenstein,J
本文提出了一种估计迁移率和有效种群大小的新方法。它使用基于合并理论的最大似然框架。采用Metropolis-Hastings重要性抽样方法估计参数。在两种群模型中，该方法估计四个参数：有效种群大小和每个种群相对于突变率的移民率。对基因座的总结可以通过假设突变率对于所有基因座都是相同的或者突变率在基因座之间是伽马分布的但对于基因座的所有位点都是相同的来完成。这些估计值与基于优化FST的测量值一样好或更好。该程序可在万维网http://evolution.genetics.washington.edu/lamarc.html/上获得。
A new method for the estimation of migration rates and effective population sizes is described. It uses a maximum-likelihood framework based on coalescence theory. The parameters are estimated by Metropolis-Hastings importance sampling. In a two-population model this method estimates four parameters: the effective population size and the immigration rate for each population relative to the mutation rate. Summarizing over loci can be done by assuming either that the mutation rate is the same for all loci or that the mutation rates are gamma distributed among loci but the same for all sites of a locus. The estimates are as good as or better than those from an optimized FST-based measure. The program is available on the World Wide Web at http://evolution.genetics.washington.edu/lamarc.html/.