Estimating time to the common ancestor for a beneficial allele
Joel Smith Graham Coop Matthew Stephens John Novembre
Molecular Biology and Evolution, msy006,
Joel Smith Graham Coop Matthew Stephens John Novembre
Molecular Biology and Evolution, msy006,
https://doi.org/10.1093/molbev/msy006
Published: 18 January 2018
Article history
Received: 10 August 2017 Revision Received: 02 January 2018
Accepted: 13 January 2018
Published: 18 January 2018
Article history
Received: 10 August 2017 Revision Received: 02 January 2018
Accepted: 13 January 2018
Abstract
The haplotypes of a beneficial allele carry information about its history that can shed light on its age and the putative cause for its increase in frequency. Specifically, the signature of an allele’s age is contained in the pattern of variation that mutation and recombination impose on its haplotypic background. We provide a method to exploit this pattern and infer the time to the common ancestor of a positively selected allele following a rapid increase in frequency. We do so using a hidden Markov model which leverages the length distribution of the shared ancestral haplotype, the accumulation of derived mutations on the ancestral background, and the surrounding background haplotype diversity. Using simulations, we demonstrate how the inclusion of information from both mutation and recombination events increases accuracy relative to approaches that only consider a single type of event. We also show the behavior of the estimator in cases where data do not conform to model assumptions, and provide some diagnostics for assessing and improving inference. Using the method, we analyze population-specific patterns in the 1000 Genomes Project data to estimate the timing of adaptation for several variants which show evidence of recent selection and functional relevance to diet, skin pigmentation, and morphology in humans.
Issue Section: Article
© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License
(http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
FREE PDF GRATIS: Molecular Biology Evolution