Maximum-Likelihood Estimation of Migration Rates and Effective Population Numbers in Two Populations Using a Coalescent Approach

Peter Beerli; Joseph Felsenstein

doi:10.1093/genetics/152.2.763

Abstract

Abstract 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/.

Keywords

Coalescent theoryBiologyMaximum likelihoodEstimationGeneticsPopulationEvolutionary biologyStatisticsDemographyMathematicsGenePhylogenetic tree

Affiliated Institutions

University of Washington US

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Publication Info

Year: 1999
Type: article
Volume: 152
Issue: 2
Pages: 763-773
Citations: 1023
Access: Closed

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APA Style

                            
                                    Peter Beerli, 
                                
                                    Joseph Felsenstein
                                
                            (1999). 
                            Maximum-Likelihood Estimation of Migration Rates and Effective Population Numbers in Two Populations Using a Coalescent Approach. 
                            Genetics
                            , 152
                            (2)
                            , 763-773.
                            https://doi.org/10.1093/genetics/152.2.763

Identifiers

DOI: 10.1093/genetics/152.2.763