Literature DB >> 7608640

The distribution of rare alleles.

P Joyce1, S Tavaré.   

Abstract

Population geneticists have long been interested in the behavior of rare variants. The definition of a rare variant has been the subject of some debate, centered mainly on whether alleles with small relative frequency should be considered rare, or whether alleles with small numbers should be. We study the behavior of the counts of rare alleles in samples taken from a population genetics model that allows for selection and infinitely-many-alleles mutation structure. We show that in large samples the counts of rare alleles--those represented once, twice, ...--are approximately distributed as a Poisson process, with a parameter that depends on the total mutation rate, but not on the selection parameters. This result is applied to the problem of estimating the fraction of neutral mutations.

Mesh:

Year:  1995        PMID: 7608640     DOI: 10.1007/BF00298645

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


  7 in total

1.  Microevolution of the Chibcha-speaking peoples of lower Central America: rare genes in an Amerindian complex.

Authors:  E A Thompson; J V Neel; P E Smouse; R Barrantes
Journal:  Am J Hum Genet       Date:  1992-09       Impact factor: 11.025

2.  The homozygosity test of neutrality.

Authors:  G A Watterson
Journal:  Genetics       Date:  1978-02       Impact factor: 4.562

3.  Estimating the proportion of neutral mutants.

Authors:  G A Watterson
Journal:  Genet Res       Date:  1987-10       Impact factor: 1.588

4.  The sampling theory of selectively neutral alleles.

Authors:  W J Ewens
Journal:  Theor Popul Biol       Date:  1972-03       Impact factor: 1.570

5.  Allele frequencies with genic selection.

Authors:  R C Griffiths
Journal:  J Math Biol       Date:  1983       Impact factor: 2.259

6.  Maintenance of genetic variability under the pressure of neutral and deleterious mutations in a finite population.

Authors:  W H Li
Journal:  Genetics       Date:  1979-06       Impact factor: 4.562

7.  Rare variant alleles in the light of the neutral theory.

Authors:  M Kimura
Journal:  Mol Biol Evol       Date:  1983-12       Impact factor: 16.240

  7 in total
  12 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.  Power of deep, all-exon resequencing for discovery of human trait genes.

Authors:  Gregory V Kryukov; Alexander Shpunt; John A Stamatoyannopoulos; Shamil R Sunyaev
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-06       Impact factor: 11.205

3.  Association studies for next-generation sequencing.

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Journal:  Genome Res       Date:  2011-04-26       Impact factor: 9.043

4.  The genealogy of samples in models with selection.

Authors:  C Neuhauser; S M Krone
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

5.  On the association analysis of genome-sequencing data: A spatial clustering approach for partitioning the entire genome into nonoverlapping windows.

Authors:  Heide Loehlein Fier; Dmitry Prokopenko; Julian Hecker; Michael H Cho; Edwin K Silverman; Scott T Weiss; Rudolph E Tanzi; Christoph Lange
Journal:  Genet Epidemiol       Date:  2017-03-20       Impact factor: 2.135

6.  The structure of allelic diversity in the presence of purifying selection.

Authors:  Michael M Desai; Lauren E Nicolaisen; Aleksandra M Walczak; Joshua B Plotkin
Journal:  Theor Popul Biol       Date:  2011-12-16       Impact factor: 1.570

7.  Quantitative trait locus analysis for next-generation sequencing with the functional linear models.

Authors:  Li Luo; Yun Zhu; Momiao Xiong
Journal:  J Med Genet       Date:  2012-08       Impact factor: 6.318

8.  Genome-wide gene-gene interaction analysis for next-generation sequencing.

Authors:  Jinying Zhao; Yun Zhu; Momiao Xiong
Journal:  Eur J Hum Genet       Date:  2015-07-15       Impact factor: 4.246

9.  Integrated analysis of mutations, miRNA and mRNA expression in glioblastoma.

Authors:  Hua Dong; Li Luo; Shengjun Hong; Hoicheong Siu; Yanghua Xiao; Li Jin; Rui Chen; Momiao Xiong
Journal:  BMC Syst Biol       Date:  2010-11-29

10.  Epistasis analysis for quantitative traits by functional regression model.

Authors:  Futao Zhang; Eric Boerwinkle; Momiao Xiong
Journal:  Genome Res       Date:  2014-05-06       Impact factor: 9.043

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