Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation.

ABSTRACT: The large amount and high quality of genomic data available today enable, in principle, accurate inference of evolutionary histories of observed populations. The Wright-Fisher model is one of the most widely used models for this purpose. It describes the stochastic behavior in time of allele frequencies and the influence of evolutionary pressures, such as mutation and selection. Despite its simple mathematical formulation, exact results for the distribution of allele frequency (DAF) as a function of time are not available in closed analytical form. Existing approximations build on the computationally intensive diffusion limit or rely on matching moments of the DAF. One of the moment-based approximations relies on the beta distribution, which can accurately describe the DAF when the allele

SUBMITTER: Tataru P 

PROVIDER: S-EPMC4649640 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature