Literature DB >> 12433578

Variation in recombination rate across the genome: evidence and implications.

Michael W Nachman1.   

Abstract

Recent data from humans and other species provide convincing evidence of variation in recombination rate in different genomic regions. Comparison of physical and genetic maps reveals variation on a scale of megabases, with substantial differences between sexes. Recombination is often suppressed near centromeres and elevated near telomeres, but neither of these observations is true for all chromosomes. In humans, patterns of linkage disequilibrium and experimental measures of recombination from sperm-typing reveal dramatic hotspots of recombination on a scale of kilobases. Genome-wide variation in the amount of crossing-over may be due to variation in the density of hotspots, the intensity of hotspots, or both. Theoretical models of selection and linkage predict that genetic variation will be reduced in regions of low recombination, and this prediction is supported by data from several species. Heterogeneity in rates of crossing-over provides both an opportunity and a challenge for identifying disease genes: as associations occur in blocks, genomic regions containing disease loci may be identified with relatively few markers, yet identifying the causal mutations is unlikely to be achieved through associations alone.

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Year:  2002        PMID: 12433578     DOI: 10.1016/s0959-437x(02)00358-1

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


  100 in total

Review 1.  Hot and cold spots of recombination in the human genome: the reason we should find them and how this can be achieved.

Authors:  Norman Arnheim; Peter Calabrese; Magnus Nordborg
Journal:  Am J Hum Genet       Date:  2003-05-22       Impact factor: 11.025

2.  Application of coalescent methods to reveal fine-scale rate variation and recombination hotspots.

Authors:  Paul Fearnhead; Rosalind M Harding; Julie A Schneider; Simon Myers; Peter Donnelly
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

Review 3.  Mutation and the evolution of recombination.

Authors:  N H Barton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

4.  The Impact of Recombination Hotspots on Genome Evolution of a Fungal Plant Pathogen.

Authors:  Daniel Croll; Mark H Lendenmann; Ethan Stewart; Bruce A McDonald
Journal:  Genetics       Date:  2015-09-21       Impact factor: 4.562

5.  Genetic and evolutionary correlates of fine-scale recombination rate variation in Drosophila persimilis.

Authors:  Laurie S Stevison; Mohamed A F Noor
Journal:  J Mol Evol       Date:  2010-10-02       Impact factor: 2.395

6.  Differential activation of M26-containing meiotic recombination hot spots in Schizosaccharomyces pombe.

Authors:  David W Pryce; Alexander Lorenz; Julia B Smirnova; Josef Loidl; Ramsay J McFarlane
Journal:  Genetics       Date:  2005-03-02       Impact factor: 4.562

7.  Nonsense-mediated mRNA decay factors act in concert to regulate common mRNA targets.

Authors:  Jan Rehwinkel; Ivica Letunic; Jeroen Raes; Peer Bork; Elisa Izaurralde
Journal:  RNA       Date:  2005-10       Impact factor: 4.942

8.  Variation in crossing-over rates across chromosome 4 of Arabidopsis thaliana reveals the presence of meiotic recombination "hot spots".

Authors:  Jan Drouaud; Christine Camilleri; Pierre-Yves Bourguignon; Aurélie Canaguier; Aurélie Bérard; Daniel Vezon; Sandra Giancola; Dominique Brunel; Vincent Colot; Bernard Prum; Hadi Quesneville; Christine Mézard
Journal:  Genome Res       Date:  2005-12-12       Impact factor: 9.043

9.  Effects of trans-acting genetic modifiers on meiotic recombination across the a1-sh2 interval of maize.

Authors:  Marna D Yandeau-Nelson; Basil J Nikolau; Patrick S Schnable
Journal:  Genetics       Date:  2006-07-02       Impact factor: 4.562

10.  Chromosome complement of the fungal plant pathogen Fusarium graminearum based on genetic and physical mapping and cytological observations.

Authors:  L R Gale; J D Bryant; S Calvo; H Giese; T Katan; K O'Donnell; H Suga; M Taga; T R Usgaard; T J Ward; H C Kistler
Journal:  Genetics       Date:  2005-08-03       Impact factor: 4.562

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