Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation. / Nielsen, Rasmus; Mountain, Joanna L.; Huelsenbeck, John P.; Slatkin, Montgomery.

In: Evolution, Vol. 52, No. 3, 01.01.1998, p. 669-677.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nielsen, R, Mountain, JL, Huelsenbeck, JP & Slatkin, M 1998, 'Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation', Evolution, vol. 52, no. 3, pp. 669-677.

APA

Nielsen, R., Mountain, J. L., Huelsenbeck, J. P., & Slatkin, M. (1998). Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation. Evolution, 52(3), 669-677.

Vancouver

Nielsen R, Mountain JL, Huelsenbeck JP, Slatkin M. Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation. Evolution. 1998 Jan 1;52(3):669-677.

Author

Nielsen, Rasmus ; Mountain, Joanna L. ; Huelsenbeck, John P. ; Slatkin, Montgomery. / Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation. In: Evolution. 1998 ; Vol. 52, No. 3. pp. 669-677.

Bibtex

@article{2dcb72f7aaaa436588312f26a6cd3682,
title = "Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation",
abstract = "In this paper we present a method for estimating population divergence times by maximum likelihood in models without mutation. The maximum-likelihood estimator is compared to a commonly applied estimator based on Wright's F(ST) statistic. Simulations suggest that the maximum-likelihood estimator is less biased and has a lower variance than the F(ST)-based estimator. The maximum-likelihood estimator provides a statistical framework for the analysis of population history given genetic data. We demonstrate how maximum-likelihood estimates of the branching pattern of divergence of multiple populations may be obtained. We also describe how the method may be applied to test hypotheses such as whether populations have maintained equal population sizes. We illustrate the method by applying it to two previously published sets of human restriction fragment length polymorphism (RFLP) data.",
keywords = "F(ST), Maximum likelihood, Phylogeny, Population divergence, Population history, Population size, Population subdivision",
author = "Rasmus Nielsen and Mountain, {Joanna L.} and Huelsenbeck, {John P.} and Montgomery Slatkin",
year = "1998",
month = jan,
day = "1",
language = "English",
volume = "52",
pages = "669--677",
journal = "Evolution; international journal of organic evolution",
issn = "0014-3820",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Maximum-likelihood estimation of population divergence times and population phylogeny in models without mutation

AU - Nielsen, Rasmus

AU - Mountain, Joanna L.

AU - Huelsenbeck, John P.

AU - Slatkin, Montgomery

PY - 1998/1/1

Y1 - 1998/1/1

N2 - In this paper we present a method for estimating population divergence times by maximum likelihood in models without mutation. The maximum-likelihood estimator is compared to a commonly applied estimator based on Wright's F(ST) statistic. Simulations suggest that the maximum-likelihood estimator is less biased and has a lower variance than the F(ST)-based estimator. The maximum-likelihood estimator provides a statistical framework for the analysis of population history given genetic data. We demonstrate how maximum-likelihood estimates of the branching pattern of divergence of multiple populations may be obtained. We also describe how the method may be applied to test hypotheses such as whether populations have maintained equal population sizes. We illustrate the method by applying it to two previously published sets of human restriction fragment length polymorphism (RFLP) data.

AB - In this paper we present a method for estimating population divergence times by maximum likelihood in models without mutation. The maximum-likelihood estimator is compared to a commonly applied estimator based on Wright's F(ST) statistic. Simulations suggest that the maximum-likelihood estimator is less biased and has a lower variance than the F(ST)-based estimator. The maximum-likelihood estimator provides a statistical framework for the analysis of population history given genetic data. We demonstrate how maximum-likelihood estimates of the branching pattern of divergence of multiple populations may be obtained. We also describe how the method may be applied to test hypotheses such as whether populations have maintained equal population sizes. We illustrate the method by applying it to two previously published sets of human restriction fragment length polymorphism (RFLP) data.

KW - F(ST)

KW - Maximum likelihood

KW - Phylogeny

KW - Population divergence

KW - Population history

KW - Population size

KW - Population subdivision

UR - http://www.scopus.com/inward/record.url?scp=0031879154&partnerID=8YFLogxK

M3 - Journal article

AN - SCOPUS:0031879154

VL - 52

SP - 669

EP - 677

JO - Evolution; international journal of organic evolution

JF - Evolution; international journal of organic evolution

SN - 0014-3820

IS - 3

ER -

ID: 222645692