Literature DB >> 11701640

Methods to detect selection in populations with applications to the human.

M Kreitman1.   

Abstract

The development of statistical tests of natural selection at the DNA level in population samples has been ongoing for the past 13 years. The current state of the field is reviewed, and the available tests of selection are described. All tests use predictions from the theory of neutrally evolving sites as a null hypothesis. Departures from equilibrium-neutral expectations can indicate the presence of natural selection acting either at one or more of the sites under investigation or at a sufficiently tightly linked site. Complications can arise in the interpretation of departures from neutrality if populations are not at equilibrium for mutation and genetic drift or if populations are subdivided, both of which are likely scenarios for humans. Attempts to understand the nonequilibrium configuration of silent polymorphism in human mitochondrial DNA illustrate the difficulty of distinguishing between selection and alternative demographic hypotheses. The range of plausible alternatives to selection will become better defined, however, as additional population genetic data sets become available, allowing better null models to be constructed.

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Year:  2000        PMID: 11701640     DOI: 10.1146/annurev.genom.1.1.539

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  115 in total

1.  Common 5' beta-globin RFLP haplotypes harbour a surprising level of ancestral sequence mosaicism.

Authors:  Matthew T Webster; John B Clegg; Rosalind M Harding
Journal:  Hum Genet       Date:  2003-05-08       Impact factor: 4.132

2.  Comparative genomics and the evolution of human mitochondrial DNA: assessing the effects of selection.

Authors:  J L Elson; D M Turnbull; Neil Howell
Journal:  Am J Hum Genet       Date:  2004-01-07       Impact factor: 11.025

3.  Pattern of diversity in the genomic region near the maize domestication gene tb1.

Authors:  Richard M Clark; Eric Linton; Joachim Messing; John F Doebley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-30       Impact factor: 11.205

4.  Extensive linkage disequilibrium, a common 16.7-kilobase deletion, and evidence of balancing selection in the human protocadherin alpha cluster.

Authors:  James P Noonan; Jun Li; Loan Nguyen; Chenier Caoile; Mark Dickson; Jane Grimwood; Jeremy Schmutz; Marcus W Feldman; Richard M Myers
Journal:  Am J Hum Genet       Date:  2003-02-07       Impact factor: 11.025

5.  The impact of genomics on the study of natural variation in Arabidopsis.

Authors:  Justin O Borevitz; Magnus Nordborg
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

6.  Effects of inbreeding on the genetic diversity of populations.

Authors:  Deborah Charlesworth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-06-29       Impact factor: 6.237

7.  Contrasting effects of selection on sequence diversity and linkage disequilibrium at two phytoene synthase loci.

Authors:  Kelly A Palaisa; Michele Morgante; Mark Williams; Antoni Rafalski
Journal:  Plant Cell       Date:  2003-08       Impact factor: 11.277

8.  Evidence for abundant slightly deleterious polymorphisms in bacterial populations.

Authors:  Austin L Hughes
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

9.  The coalescent with selection on copy number variants.

Authors:  Kosuke M Teshima; Hideki Innan
Journal:  Genetics       Date:  2011-12-14       Impact factor: 4.562

10.  Identification of genes subject to positive selection in uropathogenic strains of Escherichia coli: a comparative genomics approach.

Authors:  Swaine L Chen; Chia-Seui Hung; Jian Xu; Christopher S Reigstad; Vincent Magrini; Aniko Sabo; Darin Blasiar; Tamberlyn Bieri; Rekha R Meyer; Philip Ozersky; Jon R Armstrong; Robert S Fulton; J Phillip Latreille; John Spieth; Thomas M Hooton; Elaine R Mardis; Scott J Hultgren; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-03       Impact factor: 11.205

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