Literature DB >> 15039702

Recent developments in genetic data analysis: what can they tell us about human demographic history?

M A Beaumont1.   

Abstract

Over the last decade, a number of new methods of population genetic analysis based on likelihood have been introduced. This review describes and explains the general statistical techniques that have recently been used, and discusses the underlying population genetic models. Experimental papers that use these methods to infer human demographic and phylogeographic history are reviewed. It appears that the use of likelihood has hitherto had little impact in the field of human population genetics, which is still primarily driven by more traditional approaches. However, with the current uncertainty about the effects of natural selection, population structure and ascertainment of single-nucleotide polymorphism markers, it is suggested that likelihood-based methods may have a greater impact in the future. March 2004

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Year:  2004        PMID: 15039702     DOI: 10.1038/sj.hdy.6800447

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  18 in total

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Authors:  Lounès Chikhi; Vitor C Sousa; Pierre Luisi; Benoit Goossens; Mark A Beaumont
Journal:  Genetics       Date:  2010-08-25       Impact factor: 4.562

2.  Likelihoods from summary statistics: recent divergence between species.

Authors:  Scotland C Leman; Yuguo Chen; Jason E Stajich; Mohamed A F Noor; Marcy K Uyenoyama
Journal:  Genetics       Date:  2005-09-02       Impact factor: 4.562

3.  Characterization of demographic expansions from pairwise comparisons of linked microsatellite haplotypes.

Authors:  Miguel Navascués; Olivier J Hardy; Concetta Burgarella
Journal:  Genetics       Date:  2008-12-22       Impact factor: 4.562

4.  Generation time and effective population size in Polar Eskimos.

Authors:  Shuichi Matsumura; Peter Forster
Journal:  Proc Biol Sci       Date:  2008-07-07       Impact factor: 5.349

5.  Inferring population decline and expansion from microsatellite data: a simulation-based evaluation of the Msvar method.

Authors:  Christophe Girod; Renaud Vitalis; Raphaël Leblois; Hélène Fréville
Journal:  Genetics       Date:  2011-03-08       Impact factor: 4.562

6.  Combining markers into haplotypes can improve population structure inference.

Authors:  Lucie M Gattepaille; Mattias Jakobsson
Journal:  Genetics       Date:  2011-08-25       Impact factor: 4.562

7.  Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes.

Authors:  Simona Grusea; Willy Rodríguez; Didier Pinchon; Lounès Chikhi; Simon Boitard; Olivier Mazet
Journal:  J Math Biol       Date:  2018-07-20       Impact factor: 2.259

8.  Formulating a historical and demographic model of recent human evolution based on resequencing data from noncoding regions.

Authors:  Guillaume Laval; Etienne Patin; Luis B Barreiro; Lluís Quintana-Murci
Journal:  PLoS One       Date:  2010-04-22       Impact factor: 3.240

9.  Demographic estimates from Y chromosome microsatellite polymorphisms: analysis of a worldwide sample.

Authors:  J Michael Macpherson; Sohini Ramachandran; Lisa Diamond; Marcus W Feldman
Journal:  Hum Genomics       Date:  2004-08       Impact factor: 4.639

10.  Signature of a pre-human population decline in the critically endangered Reunion Island endemic forest bird Coracina newtoni.

Authors:  Jordi Salmona; Marc Salamolard; Damien Fouillot; Thomas Ghestemme; Jerry Larose; Jean-François Centon; Vitor Sousa; Deborah A Dawson; Christophe Thebaud; Lounès Chikhi
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

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