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Genetics, Vol 138, 1375-1386, Copyright © 1994
INVESTIGATIONS |
Estimating Effective Population Size or Mutation Rate Using the Frequencies of Mutations of Various Classes in a Sample of DNA Sequences
Y. X. Fu
Center for Demographic and Population Genetics, University of Texas, Houston, Texas 77225
Mutations resulting in segregating sites of a sample of DNA sequences can be classified by size and type and the frequencies of mutations of different sizes and types can be inferred from the sample. A framework for estimating the essential parameter {theta} = 4Nu utilizing the frequencies of mutations of various sizes and types is developed in this paper, where N is the effective size of a population and {mu} is mutation rate per sequence per generation. The framework is a combination of coalescent theory, general linear model and Monte-Carlo integration, which leads to two new estimators {theta}({xi}) and {theta}({eta}) as well as a general Watterson's estimator {theta}(K) and a general Tajima's estimator {theta}({pi}). The greatest strength of the framework is that it can be used under a variety of population models. The properties of the framework and the four estimators {theta}(K), {theta}({pi}), {theta}({xi}) and {theta}({eta}) are investigated under three important population models: the neutral Wright-Fisher model, the neutral model with recombination and the neutral Wright's finite-islands model. Under all these models, it is shown that {theta}({xi}) is the best estimator among the four even when recombination rate or migration rate has to be estimated. Under the neutral Wright-Fisher model, it is shown that the new estimator {theta}({xi}) has a variance close to a lower bound of variances of all unbiased estimators of {theta} which suggests that {theta}({xi}) is a very efficient estimator.
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