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Inferring Coalescence Times From DNA Sequence Data

Tavaré, Simon, Balding, David J, Griffiths, R C, Donnelly, Peter·1997·Genetics

Abstract

The paper is concerned with methods for the estimation of the coalescence time (time since the most recent common ancestor) of a sample of intraspecies DNA sequences. The methods take advantage of prior knowledge of population demography, in addition to the molecular data. While some theoretical results are presented, a central focus is on computational methods. These methods are easy to implement, and, since explicit formulae tend to be either unavailable or unilluminating, they are also more useful and more informative in most applications. Extensions are presented that allow for the effects of uncertainty in our knowledge of population size and mutation rates, for variability in population sizes, for regions of different mutation rate, and for inference concerning the coalescence time of the entire population. The methods are illustrated using recent data from the human Y chromosome.

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Metadata

Authors
Tavaré, S., Balding, D. J., Griffiths, R. C., & Donnelly, P.
Venue
Genetics
Published
1997-02-01
Volume
145
Issue
2
Pages
505-518
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W1793259860
Cited by
940
References
0
FWCI
5.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inferring Coalescence Times From DNA Sequence Data. https://app.cochat.ai/papers/10.1093/genetics/145.2.505
The paper
Tavaré, S., Balding, D. J., Griffiths, R. C., & Donnelly, P. (1997). Inferring Coalescence Times From DNA Sequence Data. Genetics. https://doi.org/10.1093/genetics/145.2.505

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.