The coalescent with recombination describes the distribution of genealogical histories and resulting patterns of genetic variation in samples of DNA sequences from natural populations. However, using the model as the basis for inference is currently severely restricted by the computational challenge of estimating the likelihood. We discuss why the coalescent with recombination is so challenging to work with and explore whether simpler models, under which inference is more tractable, may prove useful for genealogy-based inference. We introduce a simplification of the coalescent process in which coalescence between lineages with no overlapping ancestral material is banned. The resulting process has a simple Markovian structure when generating genealogies sequentially along a sequence, yet has very similar properties to the full model, both in terms of describing patterns of genetic variation and as the basis for statistical inference.

Original publication

DOI

10.1098/rstb.2005.1673

Type

Journal article

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Publication Date

07/2005

Volume

360

Pages

1387 - 1393

Addresses

Department of Statistics, University of Oxford, 1 South Parks Road, Oxford, OX1 3TG, UK. mcvean@stats.ox.ac.uk

Keywords

Chromosomes, Likelihood Functions, Markov Chains, Evolution, Molecular, Recombination, Genetic, Linkage Disequilibrium, Models, Genetic, Computer Simulation, Genetic Variation