Literature DB >> 17660571

On the choice of genetic distance in spatial-genetic studies.

Paul Fearnhead1.   

Abstract

We look at how to choose genetic distance so as to maximize the power of detecting spatial structure. We answer this question through analyzing two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial structure, can be characterized by a separation of timescales: the history of the sample can be split into a scattering and a collecting phase, and it is only during the scattering phase that the spatial locations of the sample affect the coalescence times. Our results suggest that the optimal choice of genetic distance is based upon splitting a DNA sequence into segments and counting the number of segments at which two sequences differ. The size of these segments depends on the length of the scattering phase for the population genetic model.

Mesh:

Year:  2007        PMID: 17660571      PMCID: PMC2013702          DOI: 10.1534/genetics.107.072538

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  13 in total

1.  Neutral evolution in spatially continuous populations.

Authors:  Nick H Barton; Frantz Depaulis; Alison M Etheridge
Journal:  Theor Popul Biol       Date:  2002-02       Impact factor: 1.570

2.  The coalescent in a continuous, finite, linear population.

Authors:  Jon F Wilkins; John Wakeley
Journal:  Genetics       Date:  2002-06       Impact factor: 4.562

3.  The structured ancestral selection graph and the many-demes limit.

Authors:  Paul F Slade; John Wakeley
Journal:  Genetics       Date:  2004-11-01       Impact factor: 4.562

4.  Isolation by Distance.

Authors:  S Wright
Journal:  Genetics       Date:  1943-03       Impact factor: 4.562

5.  Heterozygosity and relationship in regularly subdivided populations.

Authors:  G Malécot
Journal:  Theor Popul Biol       Date:  1975-10       Impact factor: 1.570

6.  Genealogies and geography.

Authors:  N H Barton; I Wilson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1995-07-29       Impact factor: 6.237

7.  Analysis of recombination in Campylobacter jejuni from MLST population data.

Authors:  Paul Fearnhead; Nick G C Smith; Mishele Barrigas; Andrew Fox; Nigel French
Journal:  J Mol Evol       Date:  2005-07-21       Impact factor: 2.395

8.  Spatial epidemiology and natural population structure of Campylobacter jejuni colonizing a farmland ecosystem.

Authors:  Nigel French; Mishele Barrigas; Patrick Brown; Paulo Ribiero; Nicola Williams; Howard Leatherbarrow; Richard Birtles; Eric Bolton; Paul Fearnhead; Andrew Fox
Journal:  Environ Microbiol       Date:  2005-08       Impact factor: 5.491

9.  Analysis of population structure. II. Two-dimensional stepping stone models of finite length and other geographically structured populations.

Authors:  T Maruyama
Journal:  Ann Hum Genet       Date:  1971-10       Impact factor: 1.670

10.  The fine-scale structure of recombination rate variation in the human genome.

Authors:  Gilean A T McVean; Simon R Myers; Sarah Hunt; Panos Deloukas; David R Bentley; Peter Donnelly
Journal:  Science       Date:  2004-04-23       Impact factor: 47.728

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  1 in total

1.  Likelihood-based inference in isolation-by-distance models using the spatial distribution of low-frequency alleles.

Authors:  John Novembre; Montgomery Slatkin
Journal:  Evolution       Date:  2009-07-16       Impact factor: 3.694

  1 in total

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