Literature DB >> 17246079

Linkage disequilibrium with the island model.

T Ohta1.   

Abstract

Linkage disequilibrium between two linked loci was studied for a finite population with a subdivided population structure. Wright's island model was used; extinction and replacement of colonies were also incorporated. Two alleles (A(1) and A(2) at the first locus, and B(1) and B(2) at the second locus) with symmetric mutation rates were assumed, and equilibrium properties of linkage disequilibrium coefficients were analyzed. In terms of analogy with the subdivision of inbreeding coefficient, the variance of linkage disequilibrium is divided into several components: D(2) (IS) (variance of within-colony disequilibrium), D(2) (ST) (variance of correlation of A(1) and B(1) of different gametes of one colony relative to that of the total population), and D(2) (IT) (total variance of disequilibrium). Other subdivisions are D'(2) (IS) (variance of correlation of A(1) and B(1) of one gamete of a colony relative to that of the average gamete of the population) and D'(2) (ST) (variance of the ordinary disequilibrium of the whole population). When migration is limited, the variance becomes large if the correlation of A(1) and B(1) of one colony is taken relative to that of the whole population (D(2) (ST) and D'(2) (IS)). Also, when the rate of extinction-replacement of colonies is high, the whole-population disequilibrium coefficient (D'(2) (ST)) can become fairly large. Observed linkage disequilibria, such as those among markers in the major histocompatibility complex of man and mouse, may well be explained by limited migration, without assuming epistatic natural selection.

Entities:  

Year:  1982        PMID: 17246079      PMCID: PMC1201847     

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


  17 in total

Review 1.  The association between genes in the major histocompatibility complex and disease susceptibility,.

Authors:  T Sasazuki; H O McDevitt; F C Grumet
Journal:  Annu Rev Med       Date:  1977       Impact factor: 13.739

2.  Genetic variability and effective population size when local extinction and recolonization of subpopulations are frequent.

Authors:  T Maruyama; M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1980-11       Impact factor: 11.205

3.  Population genetics of marine pelecypods. 3. Epistasis between functionally related isoenzymes of Mytilus edulis.

Authors:  J B Mitton; R K Koehn
Journal:  Genetics       Date:  1973-03       Impact factor: 4.562

4.  Linkage disequilibrium between amino acid sites in immunoglobulin genes and other multigene families.

Authors:  T Ohta
Journal:  Genet Res       Date:  1980-10       Impact factor: 1.588

Review 5.  Polymorphism of the mouse H-2 loci.

Authors:  J Klein; F Figueroa
Journal:  Immunol Rev       Date:  1981       Impact factor: 12.988

6.  The genetic structure of natural populations of Drosophila melanogaster. XII. Linkage disequilibrium in a large local population.

Authors:  T Muki; T K Watanabe; O Yamaguchi
Journal:  Genetics       Date:  1974-08       Impact factor: 4.562

7.  Linkage disequilibrium in natural populations of Drosophila melanogaster.

Authors:  C H Langley; Y N Tobari; K I Kojima
Journal:  Genetics       Date:  1974-11       Impact factor: 4.562

8.  Effect of mating structure on variation in linkage disequilibrium.

Authors:  B S Weir; W G Hill
Journal:  Genetics       Date:  1980-06       Impact factor: 4.562

9.  Analysis of multilocus genetic systems in Tecumseh, Michigan. II. Consideration of the correlation between nonalleles in gametes.

Authors:  P Sinnock; C F Sing
Journal:  Am J Hum Genet       Date:  1972-07       Impact factor: 11.025

10.  Genetic diversity and structure in Escherichia coli populations.

Authors:  R K Selander; B R Levin
Journal:  Science       Date:  1980-10-31       Impact factor: 47.728

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  37 in total

1.  Estimation of effective population size and migration rate from one- and two-locus identity measures.

Authors:  R Vitalis; D Couvet
Journal:  Genetics       Date:  2001-02       Impact factor: 4.562

2.  Joint linkage and linkage disequilibrium mapping in natural populations.

Authors:  R Wu; Z B Zeng
Journal:  Genetics       Date:  2001-02       Impact factor: 4.562

3.  Molecular evolution of two linked genes, Est-6 and Sod, in Drosophila melanogaster.

Authors:  E S Balakirev; E I Balakirev; F Rodríguez-Trelles; F J Ayala
Journal:  Genetics       Date:  1999-11       Impact factor: 4.562

4.  A genealogical interpretation of linkage disequilibrium.

Authors:  Gilean A T McVean
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

5.  Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens.

Authors:  T M Beissinger; M Gholami; M Erbe; S Weigend; A Weigend; N de Leon; D Gianola; H Simianer
Journal:  Heredity (Edinb)       Date:  2015-09-09       Impact factor: 3.821

6.  Population genomics in bacteria: a case study of Staphylococcus aureus.

Authors:  Shohei Takuno; Tomoyuki Kado; Ryuichi P Sugino; Luay Nakhleh; Hideki Innan
Journal:  Mol Biol Evol       Date:  2011-10-17       Impact factor: 16.240

7.  On the association of restriction fragment length polymorphisms across species boundaries.

Authors:  Y X Fu; J Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  1991-05-01       Impact factor: 11.205

8.  Extensive linkage disequilibrium and parallel adaptive divergence across threespine stickleback genomes.

Authors:  Paul A Hohenlohe; Susan Bassham; Mark Currey; William A Cresko
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-02-05       Impact factor: 6.237

9.  A covariance structure model for the admixture of binary genetic variation.

Authors:  Mark N Grote
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

10.  Using classical population genetics tools with heterochroneous data: time matters!

Authors:  Frantz Depaulis; Ludovic Orlando; Catherine Hänni
Journal:  PLoS One       Date:  2009-05-14       Impact factor: 3.240

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