Literature DB >> 33483865

A dual process for the coupled Wright-Fisher diffusion.

Martina Favero1, Henrik Hult2, Timo Koski2.   

Abstract

The coupled Wright-Fisher diffusion is a multi-dimensional Wright-Fisher diffusion for multi-locus and multi-allelic genetic frequencies, expressed as the strong solution to a system of stochastic differential equations that are coupled in the drift, where the pairwise interaction among loci is modelled by an inter-locus selection. In this paper, an ancestral process, which is dual to the coupled Wright-Fisher diffusion, is derived. The dual process corresponds to the block counting process of coupled ancestral selection graphs, one for each locus. Jumps of the dual process arise from coalescence, mutation, single-branching, which occur at one locus at the time, and double-branching, which occur simultaneously at two loci. The coalescence and mutation rates have the typical structure of the transition rates of the Kingman coalescent process. The single-branching rate not only contains the one-locus selection parameters in a form that generalises the rates of an ancestral selection graph, but it also contains the two-locus selection parameters to include the effect of the pairwise interaction on the single loci. The double-branching rate reflects the particular structure of pairwise selection interactions of the coupled Wright-Fisher diffusion. Moreover, in the special case of two loci, two alleles, with selection and parent independent mutation, the stationary density for the coupled Wright-Fisher diffusion and the transition rates of the dual process are obtained in an explicit form.

Entities:  

Keywords:  Ancestral graphs; Duality; Markov processes; Population genetics; Wright–Fisher diffusion

Mesh:

Year:  2021        PMID: 33483865      PMCID: PMC7822808          DOI: 10.1007/s00285-021-01555-9

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  9 in total

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Journal:  Theor Popul Biol       Date:  1997-06       Impact factor: 1.570

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Authors:  Chen-Yi Gao; Fabio Cecconi; Angelo Vulpiani; Hai-Jun Zhou; Erik Aurell
Journal:  Phys Biol       Date:  2019-01-29       Impact factor: 2.583

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Journal:  Theor Popul Biol       Date:  2016-09-01       Impact factor: 1.570

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Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

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Authors:  Marcin J Skwark; Nicholas J Croucher; Santeri Puranen; Claire Chewapreecha; Maiju Pesonen; Ying Ying Xu; Paul Turner; Simon R Harris; Stephen B Beres; James M Musser; Julian Parkhill; Stephen D Bentley; Erik Aurell; Jukka Corander
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  9 in total

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