Math @ Duke

Publications [#243522] of Richard T. Durrett
Papers Published
 Durrett, R; Mayberry, J, Traveling waves of selective sweeps,
The Annals of Applied Probability, vol. 21 no. 2
(April, 2011),
pp. 699744, Institute of Mathematical Statistics, ISSN 10505164 [MR2807971], [doi]
(last updated on 2019/04/26)
Abstract: The goal of cancer genome sequencing projects is to determine the genetic alterations that cause common cancers. Many malignancies arise during the clonal expansion of a benign tumor which motivates the study of recurrent selective sweeps in an exponentially growing population. To better understand this process, Beerenwinkel et al. [PLoS Comput. Biol. 3 (2007) 2239 2246] consider a WrightFisher model in which cells from an exponentially growing population accumulate advantageous mutations. Simulations show a traveling wave in which the time of the first kfold mutant, Tk, is approximately linear in k and heuristics are used to obtain formulas for ETk. Here, we consider the analogous problem for the Moran model and prove that as the mutation rate μ →0, Tk ∼ ck log(1/μ), where the ck can be computed explicitly. In addition, we derive a limiting result on a log scale for the size of Xk(t) = the number of cells with k mutations at time t . © Institute of Mathematical Statistics, 2011.


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