USING THE AMOVA FRAMEWORK TO ESTIMATE A STANDARDIZED GENETIC DIFFERENTIATION MEASURE
Comparison of population structure between studies can be difficult, because the value of the often-used FST-statistic depends on the amount of genetic variation within populations. Recently, a standardized measure of genetic differentiation was developed based on GST, which addressed this problem,...
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| Veröffentlicht in: | Evolution 2006-11, Vol.60 (11), p.2399-2402 |
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| container_title | Evolution |
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| creator | Meirmans, Patrick G |
| description | Comparison of population structure between studies can be difficult, because the value of the often-used FST-statistic depends on the amount of genetic variation within populations. Recently, a standardized measure of genetic differentiation was developed based on GST, which addressed this problem, though no method was provided to estimate this standardized measure without bias. Here I present a method to estimate a standardized measure of population differentiation based on the analysis of molecular variance framework. One advantage of the method is that it can be readily expanded to include different hierarchical levels in the tested population structure. |
| doi_str_mv | 10.1554/05-631.1 |
| format | Article |
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Recently, a standardized measure of genetic differentiation was developed based on GST, which addressed this problem, though no method was provided to estimate this standardized measure without bias. Here I present a method to estimate a standardized measure of population differentiation based on the analysis of molecular variance framework. One advantage of the method is that it can be readily expanded to include different hierarchical levels in the tested population structure.</abstract><cop>United States</cop><pub>Society for the Study of Evolution</pub><pmid>17236430</pmid><doi>10.1554/05-631.1</doi><tpages>4</tpages></addata></record> |
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| ispartof | Evolution, 2006-11, Vol.60 (11), p.2399-2402 |
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| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; BioOne Complete; Access via Wiley Online Library; JSTOR Archive Collection A-Z Listing; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Alleles Analysis of molecular variance Animal populations BRIEF COMMUNICATIONS Covariance Datasets Estimation methods F ST Gene Frequency Genetic diversity Genetic loci Genetic mutation Genetic Variation Genetics microsatellites Models, Genetic Molecular genetics mutation rate Population structure Statistical variance |
| title | USING THE AMOVA FRAMEWORK TO ESTIMATE A STANDARDIZED GENETIC DIFFERENTIATION MEASURE |
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