Exploring population genetic models with recombination using efficient forward-time simulations.
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.
Padhukasahasram
Badri
B
Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14850, USA. bp85@cornell.edu
Marjoram
Paul
P
Wall
Jeffrey D
JD
Bustamante
Carlos D
CD
Nordborg
Magnus
M
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