Literature DB >> 17277372

Test of genetical isochronism for longitudinal samples of DNA sequences.

Xiaoming Liu1, Yun-Xin Fu.   

Abstract

Longitudinal samples of DNA sequences, the DNA sequences sampled from the same population at different time points, have increasingly been used to study the evolutionary process of fast-evolving organisms, e.g., RNA virus, in recent years. We propose in this article several methods for testing genetical isochronism or detecting significant genetical heterochronism in this type of sample. These methods can be used to determine the necessary sample size and sampling interval in experimental design or to combine genetically isochronic samples for better data analysis. We investigate the properties of these test statistics, including their powers of detecting heterochronism, assuming different evolutionary processes using simulation. The possible choices and usages of these test statistics are discussed.

Mesh:

Year:  2007        PMID: 17277372      PMCID: PMC1893063          DOI: 10.1534/genetics.106.065037

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


  19 in total

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3.  Reconstructing genealogies of serial samples under the assumption of a molecular clock using serial-sample UPGMA.

Authors:  A Drummond; A G Rodrigo
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4.  Estimating effective population size from samples of sequences: a bootstrap Monte Carlo integration method.

Authors:  J Felsenstein
Journal:  Genet Res       Date:  1992-12       Impact factor: 1.588

5.  Coalescent estimates of HIV-1 generation time in vivo.

Authors:  A G Rodrigo; E G Shpaer; E L Delwart; A K Iversen; M V Gallo; J Brojatsch; M S Hirsch; B D Walker; J I Mullins
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-02       Impact factor: 11.205

6.  A statistical test for detecting geographic subdivision.

Authors:  R R Hudson; D D Boos; N L Kaplan
Journal:  Mol Biol Evol       Date:  1992-01       Impact factor: 16.240

7.  Estimating ancestral population parameters.

Authors:  J Wakeley; J Hey
Journal:  Genetics       Date:  1997-03       Impact factor: 4.562

8.  Estimating effective population size and mutation rate from sequence data using Metropolis-Hastings sampling.

Authors:  M K Kuhner; J Yamato; J Felsenstein
Journal:  Genetics       Date:  1995-08       Impact factor: 4.562

9.  Statistical properties of segregating sites.

Authors:  Y X Fu
Journal:  Theor Popul Biol       Date:  1995-10       Impact factor: 1.570

10.  Estimating mutation rate and generation time from longitudinal samples of DNA sequences.

Authors:  Y X Fu
Journal:  Mol Biol Evol       Date:  2001-04       Impact factor: 16.240

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  2 in total

1.  The perils of plenty: what are we going to do with all these genes?

Authors:  Allen Rodrigo; Frederic Bertels; Joseph Heled; Raphael Noder; Helen Shearman; Peter Tsai
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

2.  Summary statistics of neutral mutations in longitudinal DNA samples.

Authors:  Xiaoming Liu; Yun-Xin Fu
Journal:  Theor Popul Biol       Date:  2008-05-05       Impact factor: 1.570

  2 in total

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