Using Maximum Likelihood to Estimate Population Size From Temporal Changes in Allele Frequencies | Zendy

E. G. Williamson | Zendy; Montgomery Slatkin | Zendy

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Using Maximum Likelihood to Estimate Population Size From Temporal Changes in Allele Frequencies

Author(s) -

E. G. Williamson,

Montgomery Slatkin

Publication year - 1999

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1093/genetics/152.2.755

Subject(s) - statistics , estimator , biology , allele frequency , statistic , population , population size , allele , maximum likelihood , variance (accounting) , sample size determination , effective population size , mathematics , genetics , genetic variation , demography , accounting , sociology , business , gene

We develop a maximum-likelihood framework for using temporal changes in allele frequencies to estimate the number of breeding individuals in a population. We use simulations to compare the performance of this estimator to an F-statistic estimator of variance effective population size. The maximum-likelihood estimator had a lower variance and smaller bias. Taking advantage of the likelihood framework, we extend the model to include exponential growth and show that temporal allele frequency data from three or more sampling events can be used to test for population growth.

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