The fixation of advantageous mutations in a population has the effect of reducing variation in the DNA sequence near that mutation. Kaplan et al. (1989) used a three-phase simulation model to study the effect of selective sweeps on genealogies. However, most subsequent work has simplified their approach by assuming that the number of individuals with the advantageous allele follows the logistic differential equation. We show that the impact of a selective sweep can be accurately approximated by a random partition created by a stick-breaking process. Our simulation results show that ignoring the randomness when the number of individuals with the advantageous allele is small can lead to substantial errors.
%0 Journal Article
%1 durrett-schweinsberg
%A Schweinsberg, Jason
%A Durret, Richard
%D 2004
%J Theoretical Population Biology
%K branching_process_approximation hitchhiking logistic_growth selective_sweep
%N 2
%P 129-138
%T Approximating selective sweeps
%U http://dx.doi.org/10.1016/j.tpb.2004.04.002
%V 66
%X The fixation of advantageous mutations in a population has the effect of reducing variation in the DNA sequence near that mutation. Kaplan et al. (1989) used a three-phase simulation model to study the effect of selective sweeps on genealogies. However, most subsequent work has simplified their approach by assuming that the number of individuals with the advantageous allele follows the logistic differential equation. We show that the impact of a selective sweep can be accurately approximated by a random partition created by a stick-breaking process. Our simulation results show that ignoring the randomness when the number of individuals with the advantageous allele is small can lead to substantial errors.
@article{durrett-schweinsberg,
abstract = {The fixation of advantageous mutations in a population has the effect of reducing variation in the DNA sequence near that mutation. Kaplan et al. (1989) used a three-phase simulation model to study the effect of selective sweeps on genealogies. However, most subsequent work has simplified their approach by assuming that the number of individuals with the advantageous allele follows the logistic differential equation. We show that the impact of a selective sweep can be accurately approximated by a random partition created by a stick-breaking process. Our simulation results show that ignoring the randomness when the number of individuals with the advantageous allele is small can lead to substantial errors.},
added-at = {2010-03-29T08:18:29.000+0200},
author = {Schweinsberg, Jason and Durret, Richard},
biburl = {https://www.bibsonomy.org/bibtex/2de159986e4a073c1140229f52f43fdb0/peter.ralph},
interhash = {444cc101a50ec62848c38aacf0b1b597},
intrahash = {de159986e4a073c1140229f52f43fdb0},
journal = {Theoretical Population Biology},
keywords = {branching_process_approximation hitchhiking logistic_growth selective_sweep},
month = {September},
number = 2,
pages = {129-138},
timestamp = {2010-03-29T08:18:29.000+0200},
title = {Approximating selective sweeps},
url = {http://dx.doi.org/10.1016/j.tpb.2004.04.002},
volume = 66,
year = 2004
}