Abstract

Abstract A new statistic for detecting genetic differentiation of subpopulations is described. The statistic can be calculated when genetic data are collected on individuals sampled from two or more localities. It is assumed that haplotypic data are obtained, either in the form of DNA sequences or data on many tightly linked markers. Using a symmetric island model, and assuming an infinite-sites model of mutation, it is found that the new statistic is as powerful or more powerful than previously proposed statistics for a wide range of parameter values.

Keywords

StatisticBiologyRange (aeronautics)Genetic dataStatisticsGeneticsMutationSummary statisticsEvolutionary biologyMathematicsGeneDemographyPopulation

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Publication Info

Year
2000
Type
article
Volume
155
Issue
4
Pages
2011-2014
Citations
643
Access
Closed

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Richard R. Hudson (2000). A New Statistic for Detecting Genetic Differentiation. Genetics , 155 (4) , 2011-2014. https://doi.org/10.1093/genetics/155.4.2011

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DOI
10.1093/genetics/155.4.2011