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Tractable diffusion and coalescent processes for weakly correlated loci

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Tractable diffusion and coalescent processes for weakly correlated loci. / A. Jenkins, Paul; Fearnhead, Paul; S. Song, Yun.
In: Electronic Journal of Probability, Vol. 20, 58, 29.05.2015.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

A. Jenkins, P, Fearnhead, P & S. Song, Y 2015, 'Tractable diffusion and coalescent processes for weakly correlated loci', Electronic Journal of Probability, vol. 20, 58. https://doi.org/10.1214/EJP.v20-3564

APA

A. Jenkins, P., Fearnhead, P., & S. Song, Y. (2015). Tractable diffusion and coalescent processes for weakly correlated loci. Electronic Journal of Probability, 20, Article 58. https://doi.org/10.1214/EJP.v20-3564

Vancouver

A. Jenkins P, Fearnhead P, S. Song Y. Tractable diffusion and coalescent processes for weakly correlated loci. Electronic Journal of Probability. 2015 May 29;20:58. doi: 10.1214/EJP.v20-3564

Author

A. Jenkins, Paul ; Fearnhead, Paul ; S. Song, Yun. / Tractable diffusion and coalescent processes for weakly correlated loci. In: Electronic Journal of Probability. 2015 ; Vol. 20.

Bibtex

@article{30f373fc3f08485d9c82e994e97ca215,
title = "Tractable diffusion and coalescent processes for weakly correlated loci",
abstract = "Widely used models in genetics include the Wright-Fisher diffusion and its moment dual, Kingman{\textquoteright}s coalescent. Each has a multilocus extension but under neither extension is the sampling distribution available in closed-form, and their computation is extremely difficult. In this paper we derive two new multilocus population genetic models, one a diffusion and the other a coalescent process, which are much simpler than the standard models, but which capture their key properties for large recombination rates. The diffusion model is based on a central limit theorem for density dependent population processes, and we show that the sampling distribution is a linear combination of moments of Gaussian distributions and hence available in closed form.The coalescent process is based on a probabilistic coupling of the ancestralrecombination graph to a simpler genealogical process which exposes the leading dynamics of the former. We further demonstrate that when we consider the sampling distribution as an asymptotic expansion in inverse powers of the recombination parameter, the sampling distributions of the new models agree with the standard ones up to the first two orders.",
keywords = "math.PR, q-bio.PE, 92D15 (Primary) 65C50, 92D10 (Secondary)",
author = "{A. Jenkins}, Paul and Paul Fearnhead and {S. Song}, Yun",
note = "Supersedes arXiv:1405.6863v2",
year = "2015",
month = may,
day = "29",
doi = "10.1214/EJP.v20-3564",
language = "English",
volume = "20",
journal = "Electronic Journal of Probability",
issn = "1083-6489",
publisher = "Institute of Mathematical Statistics",

}

RIS

TY - JOUR

T1 - Tractable diffusion and coalescent processes for weakly correlated loci

AU - A. Jenkins, Paul

AU - Fearnhead, Paul

AU - S. Song, Yun

N1 - Supersedes arXiv:1405.6863v2

PY - 2015/5/29

Y1 - 2015/5/29

N2 - Widely used models in genetics include the Wright-Fisher diffusion and its moment dual, Kingman’s coalescent. Each has a multilocus extension but under neither extension is the sampling distribution available in closed-form, and their computation is extremely difficult. In this paper we derive two new multilocus population genetic models, one a diffusion and the other a coalescent process, which are much simpler than the standard models, but which capture their key properties for large recombination rates. The diffusion model is based on a central limit theorem for density dependent population processes, and we show that the sampling distribution is a linear combination of moments of Gaussian distributions and hence available in closed form.The coalescent process is based on a probabilistic coupling of the ancestralrecombination graph to a simpler genealogical process which exposes the leading dynamics of the former. We further demonstrate that when we consider the sampling distribution as an asymptotic expansion in inverse powers of the recombination parameter, the sampling distributions of the new models agree with the standard ones up to the first two orders.

AB - Widely used models in genetics include the Wright-Fisher diffusion and its moment dual, Kingman’s coalescent. Each has a multilocus extension but under neither extension is the sampling distribution available in closed-form, and their computation is extremely difficult. In this paper we derive two new multilocus population genetic models, one a diffusion and the other a coalescent process, which are much simpler than the standard models, but which capture their key properties for large recombination rates. The diffusion model is based on a central limit theorem for density dependent population processes, and we show that the sampling distribution is a linear combination of moments of Gaussian distributions and hence available in closed form.The coalescent process is based on a probabilistic coupling of the ancestralrecombination graph to a simpler genealogical process which exposes the leading dynamics of the former. We further demonstrate that when we consider the sampling distribution as an asymptotic expansion in inverse powers of the recombination parameter, the sampling distributions of the new models agree with the standard ones up to the first two orders.

KW - math.PR

KW - q-bio.PE

KW - 92D15 (Primary) 65C50, 92D10 (Secondary)

U2 - 10.1214/EJP.v20-3564

DO - 10.1214/EJP.v20-3564

M3 - Journal article

VL - 20

JO - Electronic Journal of Probability

JF - Electronic Journal of Probability

SN - 1083-6489

M1 - 58

ER -