An alternative derivation of the stationary distribution of the multivariate neutral Wright–Fisher model for low mutation rates with a view to mutation rate estimation from site frequency data

Dominik Schrempf and Asger Hobolth

Theoretical Population Biology, 2017, vol. 114, issue C, 88-94

Abstract: Recently, Burden and Tang (2016) provided an analytical expression for the stationary distribution of the multivariate neutral Wright–Fisher model with low mutation rates. In this paper we present a simple, alternative derivation that illustrates the approximation. Our proof is based on the discrete multivariate boundary mutation model which has three key ingredients. First, the decoupled Moran model is used to describe genetic drift. Second, low mutation rates are assumed by limiting mutations to monomorphic states. Third, the mutation rate matrix is separated into a time-reversible part and a flux part, as suggested by Burden and Tang (2016). An application of our result to data from several great apes reveals that the assumption of stationarity may be inadequate or that other evolutionary forces like selection or biased gene conversion are acting. Furthermore we find that the model with a reversible mutation rate matrix provides a reasonably good fit to the data compared to the one with a non-reversible mutation rate matrix.

Keywords: Wright–Fisher model; Moran model; Diffusion equation; Stationary distribution; Boundary mutation model (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:114:y:2017:i:c:p:88-94

DOI: 10.1016/j.tpb.2016.12.001

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