Unified Framework to Evaluate Panmixia and Migration Direction among Multiple Sampling Locations
Beerli, Peter, Palczewski, Michal, Genetics
ABSTRACT
For many biological investigations, groups of individuals are genetically sampled from several geographic locations. These sampling locations often do not reflect the genetic population structure. We describe a framework using marginal likelihoods to compare and order structured population models, such as testing whether the sampling locations belong to the same randomly mating population or comparing unidirectional and multidirectional gene flow models. In the context of inferences employing Markov chain Monte Carlo methods, the accuracy of the marginal likelihoods depends heavily on the approximation method used to calculate the marginal likelihood. Two methods, …
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Publication information:
Article title: Unified Framework to Evaluate Panmixia and Migration Direction among Multiple Sampling Locations.
Contributors: Beerli, Peter - Author, Palczewski, Michal - Author.
Journal title: Genetics.
Volume: 185.
Issue: 1
Publication date: May 2010.
Page number: 313+.
© Genetics Society of America Feb 2009.
Provided by ProQuest LLC. All Rights Reserved.
This material is protected by copyright and, with the exception of fair use, may not be further copied, distributed or transmitted in any form or by any means.
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