Linked Life Data

8978076

Source:http://linkedlifedata.com/resource/pubmed/id/8978076

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1997-3-31
pubmed:abstractText
We examine the power of different exact tests of differentiation for diploid populations. Since there is not necessarily random mating within populations, the appropriate hypothesis to construct exact tests is that of independent sampling of genotypes. There are two categories of tests, FST-estimator tests and goodness of fit tests. In this latter category, we distinguish "allelic statistics", which account for the nature of alleles within genotypes, from "genotypic statistics" that do not. We show that the power of FST-estimator tests and of allelic goodness of fit tests are similar when sampling is balanced, and higher than the power of genotypic goodness of fit tests. When sampling is unbalanced, the most powerful tests are shown to belong to the allelic goodness of fit group.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0016-6731
pubmed:author
pubmed:issnType
Print
pubmed:volume
144
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1933-40
pubmed:dateRevised
2010-9-10
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Testing differentiation in diploid populations.
pubmed:affiliation
Institute de Zoologie et d'Ecologie Animale, Université de Lausanne, Switzerland. jerome.goudet@izea.unil.ch
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't