Literature DB >> 21342589

A minimal descriptor of an ancestral recombinations graph.

Laxmi Parida1, Pier Francesco Palamara, Asif Javed.   

Abstract

BACKGROUND: Ancestral Recombinations Graph (ARG) is a phylogenetic structure that encodes both duplication events, such as mutations, as well as genetic exchange events, such as recombinations: this captures the (genetic) dynamics of a population evolving over generations.
RESULTS: In this paper, we identify structure-preserving and samples-preserving core of an ARG G and call it the minimal descriptor ARG of G. Its structure-preserving characteristic ensures that all the branch lengths of the marginal trees of the minimal descriptor ARG are identical to that of G and the samples-preserving property asserts that the patterns of genetic variation in the samples of the minimal descriptor ARG are exactly the same as that of G. We also prove that even an unbounded G has a finite minimal descriptor, that continues to preserve certain (graph-theoretic) properties of G and for an appropriate class of ARGs, our estimate (Eqn 8) as well as empirical observation is that the expected reduction in the number of vertices is exponential.
CONCLUSIONS: Based on the definition of this lossless and bounded structure, we derive local properties of the vertices of a minimal descriptor ARG, which lend itself very naturally to the design of efficient sampling algorithms. We further show that a class of minimal descriptors, that of binary ARGs, models the standard coalescent exactly (Thm 6).

Entities:  

Mesh:

Year:  2011        PMID: 21342589      PMCID: PMC3044314          DOI: 10.1186/1471-2105-12-S1-S6

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  14 in total

1.  Recombination as a point process along sequences.

Authors:  C Wiuf; J Hein
Journal:  Theor Popul Biol       Date:  1999-06       Impact factor: 1.570

2.  Generating samples under a Wright-Fisher neutral model of genetic variation.

Authors:  Richard R Hudson
Journal:  Bioinformatics       Date:  2002-02       Impact factor: 6.937

3.  Calibrating a coalescent simulation of human genome sequence variation.

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

4.  Approximating the coalescent with recombination.

Authors:  Gilean A T McVean; Niall J Cardin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

5.  Fast and flexible simulation of DNA sequence data.

Authors:  Gary K Chen; Paul Marjoram; Jeffrey D Wall
Journal:  Genome Res       Date:  2008-11-24       Impact factor: 9.043

6.  Estimating the ancestral recombinations graph (ARG) as compatible networks of SNP patterns.

Authors:  Laxmi Parida; Marta Melé; Francesc Calafell; Jaume Bertranpetit
Journal:  J Comput Biol       Date:  2008-11       Impact factor: 1.479

7.  Exploring population genetic models with recombination using efficient forward-time simulations.

Authors:  Badri Padhukasahasram; Paul Marjoram; Jeffrey D Wall; Carlos D Bustamante; Magnus Nordborg
Journal:  Genetics       Date:  2008-04       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.  A new method to reconstruct recombination events at a genomic scale.

Authors:  Marta Melé; Asif Javed; Marc Pybus; Francesc Calafell; Laxmi Parida; Jaume Bertranpetit
Journal:  PLoS Comput Biol       Date:  2010-11-24       Impact factor: 4.475

10.  Fast "coalescent" simulation.

Authors:  Paul Marjoram; Jeff D Wall
Journal:  BMC Genet       Date:  2006-03-15       Impact factor: 2.797

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  2 in total

1.  Recombination networks as genetic markers in a human variation study of the Old World.

Authors:  Asif Javed; Marta Melé; Marc Pybus; Pierre Zalloua; Marc Haber; David Comas; Mihai G Netea; Oleg Balanovsky; Elena Balanovska; Li Jin; Yajun Yang; Ganeshprasad Arunkumar; Ramasamy Pitchappan; Jaume Bertranpetit; Francesc Calafell; Laxmi Parida
Journal:  Hum Genet       Date:  2011-10-18       Impact factor: 4.132

2.  Sum of parts is greater than the whole: inference of common genetic history of populations.

Authors:  Filippo Utro; Marc Pybus; Laxmi Parida
Journal:  BMC Genomics       Date:  2013-01-21       Impact factor: 3.969

  2 in total

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