Literature DB >> 16048782

Approximating the coalescent with recombination.

Gilean A T McVean1, Niall J Cardin.   

Abstract

The coalescent with recombination describes the distribution of genealogical histories and resulting patterns of genetic variation in samples of DNA sequences from natural populations. However, using the model as the basis for inference is currently severely restricted by the computational challenge of estimating the likelihood. We discuss why the coalescent with recombination is so challenging to work with and explore whether simpler models, under which inference is more tractable, may prove useful for genealogy-based inference. We introduce a simplification of the coalescent process in which coalescence between lineages with no overlapping ancestral material is banned. The resulting process has a simple Markovian structure when generating genealogies sequentially along a sequence, yet has very similar properties to the full model, both in terms of describing patterns of genetic variation and as the basis for statistical inference.

Mesh:

Year:  2005        PMID: 16048782      PMCID: PMC1569517          DOI: 10.1098/rstb.2005.1673

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  26 in total

1.  Two-locus sampling distributions and their application.

Authors:  R R Hudson
Journal:  Genetics       Date:  2001-12       Impact factor: 4.562

2.  A coalescent-based method for detecting and estimating recombination from gene sequences.

Authors:  Gil McVean; Philip Awadalla; Paul Fearnhead
Journal:  Genetics       Date:  2002-03       Impact factor: 4.562

3.  Usefulness of single nucleotide polymorphism data for estimating population parameters.

Authors:  M K Kuhner; P Beerli; J Yamato; J Felsenstein
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

Review 4.  Estimating recombination rates from population-genetic data.

Authors:  Michael P H Stumpf; Gilean A T McVean
Journal:  Nat Rev Genet       Date:  2003-12       Impact factor: 53.242

5.  Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data.

Authors:  Na Li; Matthew Stephens
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

6.  Approximate Bayesian computation in population genetics.

Authors:  Mark A Beaumont; Wenyang Zhang; David J Balding
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

7.  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

8.  Estimating the recombination parameter of a finite population model without selection.

Authors:  R R Hudson
Journal:  Genet Res       Date:  1987-12       Impact factor: 1.588

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 fine-scale structure of recombination rate variation in the human genome.

Authors:  Gilean A T McVean; Simon R Myers; Sarah Hunt; Panos Deloukas; David R Bentley; Peter Donnelly
Journal:  Science       Date:  2004-04-23       Impact factor: 47.728

View more
  123 in total

Review 1.  Computer simulations: tools for population and evolutionary genetics.

Authors:  Sean Hoban; Giorgio Bertorelle; Oscar E Gaggiotti
Journal:  Nat Rev Genet       Date:  2012-01-10       Impact factor: 53.242

2.  Linkage disequilibrium under recurrent bottlenecks.

Authors:  E Schaper; A Eriksson; M Rafajlovic; S Sagitov; B Mehlig
Journal:  Genetics       Date:  2011-11-02       Impact factor: 4.562

3.  Blockwise HMM computation for large-scale population genomic inference.

Authors:  Joshua S Paul; Yun S Song
Journal:  Bioinformatics       Date:  2012-05-28       Impact factor: 6.937

4.  A principled approach to deriving approximate conditional sampling distributions in population genetics models with recombination.

Authors:  Joshua S Paul; Yun S Song
Journal:  Genetics       Date:  2010-06-30       Impact factor: 4.562

5.  Inference of homologous recombination in bacteria using whole-genome sequences.

Authors:  Xavier Didelot; Daniel Lawson; Aaron Darling; Daniel Falush
Journal:  Genetics       Date:  2010-10-05       Impact factor: 4.562

6.  The Effects of Background and Interference Selection on Patterns of Genetic Variation in Subdivided Populations.

Authors:  Kai Zeng; Pádraic Corcoran
Journal:  Genetics       Date:  2015-10-04       Impact factor: 4.562

7.  Partitioning, duality, and linkage disequilibria in the Moran model with recombination.

Authors:  Mareike Esser; Sebastian Probst; Ellen Baake
Journal:  J Math Biol       Date:  2015-11-06       Impact factor: 2.259

8.  On the importance of being structured: instantaneous coalescence rates and human evolution--lessons for ancestral population size inference?

Authors:  O Mazet; W Rodríguez; S Grusea; S Boitard; L Chikhi
Journal:  Heredity (Edinb)       Date:  2015-12-09       Impact factor: 3.821

9.  Cosi2: an efficient simulator of exact and approximate coalescent with selection.

Authors:  Ilya Shlyakhter; Pardis C Sabeti; Stephen F Schaffner
Journal:  Bioinformatics       Date:  2014-08-22       Impact factor: 6.937

10.  Bayesian inference of local trees along chromosomes by the sequential Markov coalescent.

Authors:  Chaozhi Zheng; Mary K Kuhner; Elizabeth A Thompson
Journal:  J Mol Evol       Date:  2014-05-11       Impact factor: 2.395

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.