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Cited by 660

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

USING THE AMOVA FRAMEWORK TO ESTIMATE A STANDARDIZED GENETIC DIFFERENTIATION MEASURE

Meirmans, Patrick G.·2006·Evolution

Abstract

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.

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Crossref · 10.1111/j.0014-3820.2006.tb01874.x

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Metadata

Authors
Meirmans, P. G.
Venue
Evolution
Published
2006-11
Volume
60
Issue
11
Pages
2399-2402
ISSN
  • 0014-3820 (ISSN-L)
  • 1558-5646
OpenAlex
W2158156543
Cited by
660
References
1
FWCI
14.84
Type
journal article
Language
en
Open access
closed

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