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Literature DB >> 4071443

The use of sample genealogies for studying a selectively neutral m-loci model with recombination.

Abstract

A selectively neutral m-loci model with recombination is studied. A general method is developed to calculate the variance of the number of segregating sites in samples of arbitrary size and the m-loci homozygosity. The method is based on properties of the genealogy of the sample rather than diffusion approximations. To demonstrate the scope of the method several calculations are presented.

Mesh：

Year: 1985 PMID： 4071443 DOI： 10.1016/0040-5809(85)90036-x

Source DB: PubMed Journal: Theor Popul Biol ISSN： 0040-5809 Impact factor: 1.570

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Cited

27 in total

1. Evaluation of methods for detecting recombination from DNA sequences: computer simulations.

Authors: D Posada; K A Crandall
Journal: Proc Natl Acad Sci U S A Date: 2001-11-20 Impact factor: 11.205

2. Estimating recombination rates from population genetic data.

Authors: P Fearnhead; P Donnelly
Journal: Genetics Date: 2001-11 Impact factor: 4.562

3. Nuclear gene genealogies reveal historical, demographic and selective factors associated with speciation in field crickets.

Authors: Richard E Broughton; Richard G Harrison
Journal: Genetics Date: 2003-04 Impact factor: 4.562

The use of sample genealogies for studying a selectively neutral m-loci model with recombination.

1. Evaluation of methods for detecting recombination from DNA sequences: computer simulations.

2. Estimating recombination rates from population genetic data.

3. Nuclear gene genealogies reveal historical, demographic and selective factors associated with speciation in field crickets.

4. Haplotype block structure and its applications to association studies: power and study designs.

5. HIV-1 continues to replicate and evolve in patients with natural control of HIV infection.

6. A genealogical interpretation of linkage disequilibrium.

7. A coalescent model of recombination hotspots.

8. Maximum-likelihood estimation of rates of recombination within mating-type regions.

9. Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies.

10. The ancestry of a sample of sequences subject to recombination.