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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 > 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:

Date	Event
May 2019	Published
6 March 2019	Available
5 March 2019	Accepted

Date of first compliant deposit:

6 March 2019

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 ID	RIOXX Funder Name	Funder ID
BL1105/3-2 as part of SPP Priority Programme 1590	[DFG] Deutsche Forschungsgemeinschaft	http://dx.doi.org/10.13039/501100001659
EP/R044732/1	[EPSRC] Engineering and Physical Sciences Research Council	http://dx.doi.org/10.13039/501100000266
BL 1105/5-1 as part of SPP Priority Programme 1590	[DFG] Deutsche Forschungsgemeinschaft	http://dx.doi.org/10.13039/501100001659
SPP Priority Programme 1819 start-up module	[DFG] Deutsche Forschungsgemeinschaft	http://dx.doi.org/10.13039/501100001659