2021
DOI: 10.1007/s00285-021-01555-9
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A dual process for the coupled Wright–Fisher diffusion

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 ancestra… Show more

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Cited by 6 publications
(6 citation statements)
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References 26 publications
(46 reference statements)
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“…This formula is a consequence of the duality relationship between the ASG and the diffusion, in fact, when such relationship is proved, it is also shown that the right hand side of (2.4) solves the recursion formula that defines the sampling probability, see for example [18,10]. Furthermore, since the sample is exchangeable, the formula can also be explained by de Finetti's representation theorem.…”
Section: Frameworkmentioning
confidence: 87%
See 2 more Smart Citations
“…This formula is a consequence of the duality relationship between the ASG and the diffusion, in fact, when such relationship is proved, it is also shown that the right hand side of (2.4) solves the recursion formula that defines the sampling probability, see for example [18,10]. Furthermore, since the sample is exchangeable, the formula can also be explained by de Finetti's representation theorem.…”
Section: Frameworkmentioning
confidence: 87%
“…[25,6,8], and when selection is included, a weighted Dirichlet density, see e.g. [8,10]. Unfortunately, the PIM case is the only case where the stationary distribution is explicitly known.…”
Section: Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…• Create microbe as one agent type in the microenvironment and cancer cell as another agent type • Allow clonal evolution of cancer cells and separate evolution of microbes in equations • Create biophysical rules accounting for spatial movement of microbes (e.g., quorum sensing) and effect of microbes on evolutionary rates, such as proliferation or death of cancer cells during drug delivery [204][205][206][207] Wright-Fisher type model • Microbial species could undergo distinct Wright-Fisher evolutionary dynamics that are independent of, or, in turn, affect cancer cell evolution • Effects of microbes present could also be interwoven into cancer cell fitness evolving under Wright-Fisher dynamics • Fitness parameter of certain cancer cell genotypes may depend on metabolites, proteins, and antigens from intracellular bacteria, which in certain cases may drive differential immunoediting between cancer cell-bearing bacteria [176,[208][209][210] Moran-type model…”
Section: Examples Of Potentialincorporation Of Host-microbe Cancer In...mentioning
confidence: 99%
“…For a more thorough interpretation of the transition density g(x, •, t) and its one-dimensional counterpart, it is worth noting that the expansion in (3.2) is derived via a duality principle for Markov processes [16], that is, from the moment dual process of the Wright-Fisher diffusion, which is also a pure death process representing lineages backwards in time; see for example [15] or [29] for a complete derivation and details. The corresponding dual (coalescent) process for coupled Wright-Fisher diffusions is derived in [19].…”
mentioning
confidence: 99%