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Robust model selection between population growth and multiple merger coalescents

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Koskela, Jere and Wilke Berenguer, Maite (2019) Robust model selection between population growth and multiple merger coalescents. Mathematical Biosciences, 311 . pp. 1-12. doi:10.1016/j.mbs.2019.03.004

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Official URL: https://doi.org/10.1016/j.mbs.2019.03.004

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Abstract

We study the effect of biological confounders on the model selection problem between Kingman coalescents with population growth, and Xi-coalescents involving simultaneous multiple mergers. We use a low dimensional, computationally tractable summary statistic, dubbed the singleton-tail statistic, to carry out approximate likelihood ratio tests between these model classes. The singleton-tail statistic has been shown to distinguish between them with high power in the simple setting of neutrally evolving, panmictic populations without recombination. We extend this work by showing that cryptic recombination and selection do not diminish the power of the test, but that misspecifying population structure does. Furthermore, we demonstrate that the singleton-tail statistic can also solve the more challenging model selection problem between multiple mergers due to selective sweeps, and multiple mergers due to high fecundity with moderate power of up to 30%.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Natural selection , Population genetics, Genetic recombination
Journal or Publication Title: Mathematical Biosciences
Publisher: Elsevier Science Inc.
ISSN: 0025-5564
Official Date: May 2019
Dates:
DateEvent
May 2019Published
6 March 2019Available
5 March 2019Accepted
Volume: 311
Page Range: pp. 1-12
DOI: 10.1016/j.mbs.2019.03.004
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
BL1105/3-2 as part of SPP Priority Programme 1590[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
EP/R044732/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
BL 1105/5-1 as part of SPP Priority Programme 1590[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
SPP Priority Programme 1819 start-up module[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
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