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Cited by 65

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Frequentist estimation of coalescence times from nucleotide sequence data using a tree-based partition.

Tang, Hua, Siegmund, David O, Shen, Peidong, Oefner, Peter J, Feldman, Marcus W·2002·Genetics
DOI 10.1093/genetics/161.1.447
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Abstract

This article proposes a method of estimating the time to the most recent common ancestor (TMRCA) of a sample of DNA sequences. The method is based on the molecular clock hypothesis, but avoids assumptions about population structure. Simulations show that in a wide range of situations, the point estimate has small bias and the confidence interval has at least the nominal coverage probability. We discuss conditions that can lead to biased estimates. Performance of this estimator is compared with existing methods based on the coalescence theory. The method is applied to sequences of Y chromosomes and mtDNAs to estimate the coalescent times of human male and female populations.

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Research works printed but not linked: 21

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Metadata

Authors
Tang, H., Siegmund, D. O., Shen, P., Oefner, P. J., & Feldman, M. W.
Affiliations
  • Department of Statistics, Stanford Genome Technology Center
  • Stanford Genome Technology Center and
  • Department of Biological Sciences, Stanford University, Stanford, California 94305
Venue
Genetics
Publisher
Oxford University Press (OUP)
Published
2002-05-01
Volume
161
Issue
1
Pages
447-459
ISSN
1943-2631
DOI
10.1093/genetics/161.1.447
Cited by
65
References
0
Language
en
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)

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CoChat. (2026). Citation check: Frequentist estimation of coalescence times from nucleotide sequence data using a tree-based partition. https://app.cochat.ai/papers/10.1093/genetics/161.1.447
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Tang, H., Siegmund, D. O., Shen, P., Oefner, P. J., & Feldman, M. W. (2002). Frequentist estimation of coalescence times from nucleotide sequence data using a tree-based partition. Genetics. https://doi.org/10.1093/genetics/161.1.447