Literature DB >> 3668395

The population genealogy of the infinitely--many neutral alleles model.

P Donnelly1, S Tavaré.   

Abstract

A process analogous to Kingman's coalescent is introduced to describe the genealogy of populations evolving according to the infinitely- many neutral alleles model. The process records population frequencies in old and new classes, and labels the new classes in order of decreasing age. Its marginal distribution is characterized in a form which is amenable to explicit calculations and the transition densities of the associated K-allele models follow readily from this representation.

Mesh:

Year:  1987        PMID: 3668395     DOI: 10.1007/bf00277163

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  4 in total

1.  Partition structures, Polya urns, the Ewens sampling formula, and the ages of alleles.

Authors:  P Donnelly
Journal:  Theor Popul Biol       Date:  1986-10       Impact factor: 1.570

2.  Line-of-descent and genealogical processes, and their applications in population genetics models.

Authors:  S Tavaré
Journal:  Theor Popul Biol       Date:  1984-10       Impact factor: 1.570

3.  Simulating allele frequencies in a population and the genetic differentiation of populations under mutation pressure.

Authors:  R C Griffiths; W H Li
Journal:  Theor Popul Biol       Date:  1983-02       Impact factor: 1.570

4.  Lines of descent in the diffusion approximation of neutral Wright-Fisher models.

Authors:  R C Griffiths
Journal:  Theor Popul Biol       Date:  1980-02       Impact factor: 1.570

  4 in total
  3 in total

1.  Likelihoods and simulation methods for a class of nonneutral population genetics models.

Authors:  P Donnelly; M Nordborg; P Joyce
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

2.  The coalescent and the genealogical process in geographically structured population.

Authors:  M Notohara
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

3.  Genealogical-tree probabilities in the infinitely-many-site model.

Authors:  R C Griffiths
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

  3 in total

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