Literature DB >> 24269333

A path integral formulation of the Wright-Fisher process with genic selection.

Joshua G Schraiber1.   

Abstract

The Wright-Fisher process with selection is an important tool in population genetics theory. Traditional analysis of this process relies on the diffusion approximation. The diffusion approximation is usually studied in a partial differential equations framework. In this paper, I introduce a path integral formalism to study the Wright-Fisher process with selection and use that formalism to obtain a simple perturbation series to approximate the transition density. The perturbation series can be understood in terms of Feynman diagrams, which have a simple probabilistic interpretation in terms of selective events. The perturbation series proves to be an accurate approximation of the transition density for weak selection and is shown to be arbitrarily accurate for any selection coefficient.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion theory; Path Integral; Perturbation theory; Wright–Fisher

Mesh:

Year:  2013        PMID: 24269333      PMCID: PMC3932315          DOI: 10.1016/j.tpb.2013.11.002

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  21 in total

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Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1965-09       Impact factor: 11.205

6.  Evolutionary processes acting on candidate cis-regulatory regions in humans inferred from patterns of polymorphism and divergence.

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Journal:  PLoS Genet       Date:  2009-08-07       Impact factor: 5.917

7.  Population genetics of polymorphism and divergence.

Authors:  S A Sawyer; D L Hartl
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

8.  Inferring the joint demographic history of multiple populations from multidimensional SNP frequency data.

Authors:  Ryan N Gutenkunst; Ryan D Hernandez; Scott H Williamson; Carlos D Bustamante
Journal:  PLoS Genet       Date:  2009-10-23       Impact factor: 5.917

9.  Estimating selection coefficients in spatially structured populations from time series data of allele frequencies.

Authors:  Iain Mathieson; Gil McVean
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

10.  Assessing the evolutionary impact of amino acid mutations in the human genome.

Authors:  Adam R Boyko; Scott H Williamson; Amit R Indap; Jeremiah D Degenhardt; Ryan D Hernandez; Kirk E Lohmueller; Mark D Adams; Steffen Schmidt; John J Sninsky; Shamil R Sunyaev; Thomas J White; Rasmus Nielsen; Andrew G Clark; Carlos D Bustamante
Journal:  PLoS Genet       Date:  2008-05-30       Impact factor: 5.917

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  3 in total

1.  Bayesian Inference of Natural Selection from Allele Frequency Time Series.

Authors:  Joshua G Schraiber; Steven N Evans; Montgomery Slatkin
Journal:  Genetics       Date:  2016-03-23       Impact factor: 4.562

Review 2.  Statistical Inference in the Wright-Fisher Model Using Allele Frequency Data.

Authors:  Paula Tataru; Maria Simonsen; Thomas Bataillon; Asger Hobolth
Journal:  Syst Biol       Date:  2017-01-01       Impact factor: 15.683

3.  MPL resolves genetic linkage in fitness inference from complex evolutionary histories.

Authors:  Muhammad Saqib Sohail; Raymond H Y Louie; Matthew R McKay; John P Barton
Journal:  Nat Biotechnol       Date:  2020-11-30       Impact factor: 54.908

  3 in total

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