Genetic drift in populations governed by a Galton–Watson branching process

Conrad J. Burden and Helmut Simon

Theoretical Population Biology, 2016, vol. 109, issue C, 63-74

Abstract: Most population genetics studies have their origins in a Wright–Fisher or some closely related fixed-population model in which each individual randomly chooses its ancestor. Populations which vary in size with time are typically modelled via a coalescent derived from Wright–Fisher, but use a nonlinear time-scaling driven by a deterministically imposed population growth. An alternate, arguably more realistic approach, and one which we take here, is to allow the population size to vary stochastically via a Galton–Watson branching process.

Keywords: Genetic drift; Galton–Watson; Branching process; Mitochondrial Eve (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:109:y:2016:i:c:p:63-74

DOI: 10.1016/j.tpb.2016.03.002

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