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Convergence of genetic distances in a migration matrix model

Bibliographic Data

ID8320136
AuthorsJames W Wood (University of Wisconsin–Madison, corresponding author)
Year1986
Volume71
Issue2
Pages209-219
Publication date1986-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.1330710208
PMID3799824
OpenAlexW2055786593
LanguageEN
Citations received10
References cited33

A recurring problem with the use of migration matrix models of genetic differentiation has to do with their convergence properties. In practice, predictions can be drawn from these models only at equilibrium; but in the case of the standard predictors (most of which are modifications of Wright's F ST ), it can take an unrealistically large number of generations to approach equilibrium. An alternative set of predictors, the set of all pairwise genetic distances among the populations that define the rows and columns of the migration matrix, is investigated here. These distances are shown analytically to converge much more rapidly than the more commonly used predictors. In an application of the model to migration data on a human population from Papua New Guinea, it takes only about three to four generations for the pairwise distances to converge, in contrast to more than 100 generations for one of the standard predictors. In this case, moreover, the distances predicted by the model at equilibrium are similar to those calculated from the available genetic data

Convergence (economics) · Economics · Matrix (chemical analysis) · Applied Mathematics · Evolution and Genetic Dynamics · Genetic Associations and Epidemiology · Genetic Mapping and Diversity in Plants and Animals · Materials Science · Mathematics

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Unique citing works10
Citations per year0,25
Citation span1986 - 2003 (18)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 10

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