Literature DB >> 17353024

The genetical bandwidth mapping: a spatial and graphical representation of population genetic structure based on the Wombling method.

A Cercueil1, O François, S Manel.   

Abstract

Characterizing the spatial variation of allele frequencies in a population has a wide range of applications in population genetics. This article introduces a new nonparametric method, which provides a two-dimensional representation of a structural parameter called the genetical bandwidth, which describes genetic structure around arbitrary spatial locations in a study area. This parameter corresponds to the shortest distance to areas of significant allele variation, and its computation is based on the Womble's systemic function. A simulation study and application to data sets taken from the literature give evidence that the method is particularly demonstrative when the fine-scale structure is stronger than the large-scale structure, and that it is generally able to locate genetic boundaries or clines precisely.

Mesh:

Year:  2007        PMID: 17353024     DOI: 10.1016/j.tpb.2007.01.007

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


  7 in total

1.  Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.

Authors:  Harald Ringbauer; Alexander Kolesnikov; David L Field; Nicholas H Barton
Journal:  Genetics       Date:  2018-01-08       Impact factor: 4.562

2.  A new eigenfunction spatial analysis describing population genetic structure.

Authors:  José Alexandre Felizola Diniz-Filho; João Vitor Barnez P L Diniz; Thiago Fernando Rangel; Thannya Nascimento Soares; Mariana Pires de Campos Telles; Rosane Garcia Collevatti; Luis Mauricio Bini
Journal:  Genetica       Date:  2013-10-27       Impact factor: 1.082

Review 3.  Ecogeographic genetic epidemiology.

Authors:  Chantel D Sloan; Eric J Duell; Xun Shi; Rebecca Irwin; Angeline S Andrew; Scott M Williams; Jason H Moore
Journal:  Genet Epidemiol       Date:  2009-05       Impact factor: 2.135

4.  Comparison of Bayesian clustering and edge detection methods for inferring boundaries in landscape genetics.

Authors:  Toni Safner; Mark P Miller; Brad H McRae; Marie-Josée Fortin; Stéphanie Manel
Journal:  Int J Mol Sci       Date:  2011-01-25       Impact factor: 5.923

5.  Population structure in a comprehensive genomic data set on human microsatellite variation.

Authors:  Trevor J Pemberton; Michael DeGiorgio; Noah A Rosenberg
Journal:  G3 (Bethesda)       Date:  2013-05-20       Impact factor: 3.154

6.  Inferring Population Genetic Structure in Widely and Continuously Distributed Carnivores: The Stone Marten (Martes foina) as a Case Study.

Authors:  María Vergara; Mafalda P Basto; María José Madeira; Benjamín J Gómez-Moliner; Margarida Santos-Reis; Carlos Fernandes; Aritz Ruiz-González
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

7.  Nonstationary patterns of isolation-by-distance: inferring measures of local genetic differentiation with Bayesian kriging.

Authors:  Nicolas Duforet-Frebourg; Michael G B Blum
Journal:  Evolution       Date:  2014-01-26       Impact factor: 3.694

  7 in total

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