Literature DB >> 12750351

A coalescent model of recombination hotspots.

Carsten Wiuf1, David Posada.   

Abstract

Recent experimental findings suggest that the assumption of a homogeneous recombination rate along the human genome is too naive. These findings point to block-structured recombination rates; certain regions (called hotspots) are more prone than other regions to recombination. In this report a coalescent model incorporating hotspot or block-structured recombination is developed and investigated analytically as well as by simulation. Our main results can be summarized as follows: (1) The expected number of recombination events is much lower in a model with pure hotspot recombination than in a model with pure homogeneous recombination, (2) hotspots give rise to large variation in recombination rates along the genome as well as in the number of historical recombination events, and (3) the size of a (nonrecombining) block in the hotspot model is likely to be overestimated grossly when estimated from SNP data. The results are discussed with reference to the current debate about block-structured recombination and, in addition, the results are compared to genome-wide variation in recombination rates. A number of new analytical results about the model are derived.

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Year:  2003        PMID: 12750351      PMCID: PMC1462539     

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


  18 in total

1.  The coalescent with gene conversion.

Authors:  C Wiuf; J Hein
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  Estimating recombination rates from population genetic data.

Authors:  P Fearnhead; P Donnelly
Journal:  Genetics       Date:  2001-11       Impact factor: 4.562

3.  A dynamic programming algorithm for haplotype block partitioning.

Authors:  Kui Zhang; Minghua Deng; Ting Chen; Michael S Waterman; Fengzhu Sun
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-28       Impact factor: 11.205

4.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

5.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

6.  A Markov Chain Model of Coalescence with Recombination

Authors: 
Journal:  Theor Popul Biol       Date:  1997-08       Impact factor: 1.570

7.  Modeling interference in genetic recombination.

Authors:  M S McPeek; T P Speed
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

8.  Properties of a neutral allele model with intragenic recombination.

Authors:  R R Hudson
Journal:  Theor Popul Biol       Date:  1983-04       Impact factor: 1.570

9.  Statistical properties of the number of recombination events in the history of a sample of DNA sequences.

Authors:  R R Hudson; N L Kaplan
Journal:  Genetics       Date:  1985-09       Impact factor: 4.562

10.  The use of sample genealogies for studying a selectively neutral m-loci model with recombination.

Authors:  N Kaplan; R R Hudson
Journal:  Theor Popul Biol       Date:  1985-12       Impact factor: 1.570

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  11 in total

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Authors:  Stephen F Schaffner; Catherine Foo; Stacey Gabriel; David Reich; Mark J Daly; David Altshuler
Journal:  Genome Res       Date:  2005-11       Impact factor: 9.043

2.  Recombination hotspots as a point process.

Authors:  Maria De Iorio; Eric de Silva; Michael P H Stumpf
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

3.  A population genetics model with recombination hotspots that are heterogeneous across the population.

Authors:  Peter Calabrese
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-05       Impact factor: 11.205

4.  Coalescent simulation of intracodon recombination.

Authors:  Miguel Arenas; David Posada
Journal:  Genetics       Date:  2009-11-23       Impact factor: 4.562

5.  Protein evolution along phylogenetic histories under structurally constrained substitution models.

Authors:  Miguel Arenas; Helena G Dos Santos; David Posada; Ugo Bastolla
Journal:  Bioinformatics       Date:  2013-09-12       Impact factor: 6.937

6.  CoaSim: a flexible environment for simulating genetic data under coalescent models.

Authors:  Thomas Mailund; Mikkel H Schierup; Christian N S Pedersen; Peter J M Mechlenborg; Jesper N Madsen; Leif Schauser
Journal:  BMC Bioinformatics       Date:  2005-10-14       Impact factor: 3.169

7.  Computer programs and methodologies for the simulation of DNA sequence data with recombination.

Authors:  Miguel Arenas
Journal:  Front Genet       Date:  2013-02-01       Impact factor: 4.599

8.  Recodon: coalescent simulation of coding DNA sequences with recombination, migration and demography.

Authors:  Miguel Arenas; David Posada
Journal:  BMC Bioinformatics       Date:  2007-11-20       Impact factor: 3.169

9.  Phylogenetic detection of recombination with a Bayesian prior on the distance between trees.

Authors:  Leonardo de Oliveira Martins; Elcio Leal; Hirohisa Kishino
Journal:  PLoS One       Date:  2008-07-09       Impact factor: 3.240

10.  Simulation of genome-wide evolution under heterogeneous substitution models and complex multispecies coalescent histories.

Authors:  Miguel Arenas; David Posada
Journal:  Mol Biol Evol       Date:  2014-02-19       Impact factor: 16.240

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