Literature DB >> 17049225

Insights into recombination from population genetic variation.

Garrett Hellenthal1, Matthew Stephens.   

Abstract

Patterns of genetic variation in natural populations are shaped by, and hence carry valuable information about, the underlying recombination process. In the past five years, the increasing availability of large-scale population genetic data on dense sets of markers, coupled with advances in statistical methods for extracting information from these data, have led to several important advances in our understanding of the recombination process in humans. These advances include the identification of large numbers of 'hotspots', where recombination appears to take place considerably more frequently than in the surrounding sequence, and the identification of DNA sequence motifs that are associated with the locations of these hotspots.

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Year:  2006        PMID: 17049225     DOI: 10.1016/j.gde.2006.10.001

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  17 in total

1.  Estimating meiotic gene conversion rates from population genetic data.

Authors:  J Gay; S Myers; G McVean
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

2.  Bayesian inference of fine-scale recombination rates using population genomic data.

Authors:  Ying Wang; Bruce Rannala
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

3.  Population genomic inference of recombination rates and hotspots.

Authors:  Ying Wang; Bruce Rannala
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-02       Impact factor: 11.205

4.  Fraction of informative recombinations: a heuristic approach to analyze recombination rates.

Authors:  J-F Lefebvre; D Labuda
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

5.  X chromosomal recombination--a family study analysing 39 STR markers in German three-generation pedigrees.

Authors:  Sandra Hering; Jeanett Edelmann; Christa Augustin; Eberhard Kuhlisch; Reinhard Szibor
Journal:  Int J Legal Med       Date:  2009-11-20       Impact factor: 2.686

6.  Biased gene conversion skews allele frequencies in human populations, increasing the disease burden of recessive alleles.

Authors:  Joseph Lachance; Sarah A Tishkoff
Journal:  Am J Hum Genet       Date:  2014-10-02       Impact factor: 11.025

Review 7.  Contrasting methods of quantifying fine structure of human recombination.

Authors:  Andrew G Clark; Xu Wang; Tara Matise
Journal:  Annu Rev Genomics Hum Genet       Date:  2010       Impact factor: 8.929

Review 8.  Evolution and population genomics of the Lyme borreliosis pathogen, Borrelia burgdorferi.

Authors:  Stephanie N Seifert; Camilo E Khatchikian; Wei Zhou; Dustin Brisson
Journal:  Trends Genet       Date:  2015-03-09       Impact factor: 11.639

Review 9.  Variation in patterns of human meiotic recombination.

Authors:  P P Khil; R D Camerini-Otero
Journal:  Genome Dyn       Date:  2009

Review 10.  Meiotic recombination in mammals: localization and regulation.

Authors:  Frédéric Baudat; Yukiko Imai; Bernard de Massy
Journal:  Nat Rev Genet       Date:  2013-11       Impact factor: 53.242

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