title: Exploring population genetic models with recombination using efficient forward-time simulations.
abstract: We present an exact forward-in-time algorithm that can efficiently simulate the evolution of a finite population under the Wright-Fisher model. We used simulations based on this algorithm to verify the accuracy of the ancestral recombination graph approximation by comparing it to the exact Wright-Fisher scenario. We find that the recombination graph is generally a very good approximation for models with complete outcrossing, whereas, for models with self-fertilization, the approximation becomes slightly inexact for some combinations of selfing and recombination parameters.
authors.affiliation: Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14850, USA. bp85@cornell.edu
authors.forename: Badri
authors.initials: B
authors.lastname: Padhukasahasram
authors.forename: Paul
authors.initials: P
authors.lastname: Marjoram
authors.forename: Jeffrey D
authors.initials: JD
authors.lastname: Wall
authors.forename: Carlos D
authors.initials: CD
authors.lastname: Bustamante
authors.forename: Magnus
authors.initials: M
authors.lastname: Nordborg
mesh_terms: D000465:Algorithms; D002875:Chromosomes; D003198:Computer Simulation; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D011157:Population Dynamics; D011995:Recombination, Genetic / Q000235:genetics*; D013997:Time Factors