Formal properties of the probability of fixation: Identities, inequalities and approximations
David M. McCandlish,
Charles L. Epstein and
Joshua B. Plotkin
Theoretical Population Biology, 2015, vol. 99, issue C, 98-113
Abstract:
The formula for the probability of fixation of a new mutation is widely used in theoretical population genetics and molecular evolution. Here we derive a series of identities, inequalities and approximations for the exact probability of fixation of a new mutation under the Moran process (equivalent results hold for the approximate probability of fixation under the Wright–Fisher process, after an appropriate change of variables). We show that the logarithm of the fixation probability has particularly simple behavior when the selection coefficient is measured as a difference of Malthusian fitnesses, and we exploit this simplicity to derive inequalities and approximations. We also present a comprehensive comparison of both existing and new approximations for the fixation probability, highlighting those approximations that induce a reversible Markov chain when used to describe the dynamics of evolution under weak mutation. To demonstrate the power of these results, we consider the classical problem of determining the total substitution rate across an ensemble of biallelic loci and prove that, at equilibrium, a strict majority of substitutions are due to drift rather than selection.
Keywords: Weak mutation; Reversibility; Log-concavity; Molecular clock; Shift model; Partially-reversed model (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004058091400094X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:99:y:2015:i:c:p:98-113
DOI: 10.1016/j.tpb.2014.11.004
Access Statistics for this article
Theoretical Population Biology is currently edited by Jeremy Van Cleve
More articles in Theoretical Population Biology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().