The ages of mutations in gene trees

成果类型:
Article
署名作者:
Griffiths, RC; Tavaré, S
署名单位:
University of Oxford; University of Southern California
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
1999
页码:
567-590
关键词:
many-sites model dna-sequences ancestral inference neutral alleles sampling theory population recombination probabilities
摘要:
Under the infinitely many sites mutation model, the mutational history of a sample of DNA sequences can be described by a unique gene tree. We show how to find the conditional distribution of the ages of the mutations and the time to the most recent common ancestor of the sample, given this gene tree. Explicit expressions for such distributions seem impossible to find for the sample sizes of interest in practice. We resort to a Monte Carlo method to approximate these distributions. We use this method to study the effects of variable population size and variable mutation rates, the distribution of the time to the most recent common ancestor of the population and the distribution of other functionals of the underlying coalescent process, conditional on the sample gene tree.