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Likelihood analysis of geographic variation in allelic frequencies

dc.contributor.authorSmouse, Peter E.en_US
dc.date.accessioned2006-09-11T17:15:31Z
dc.date.available2006-09-11T17:15:31Z
dc.date.issued1974-01en_US
dc.identifier.citationSmouse, Peter E.; (1974). "Likelihood analysis of geographic variation in allelic frequencies." Theoretical and Applied Genetics 45(2): 52-58. <http://hdl.handle.net/2027.42/46000>en_US
dc.identifier.issn1432-2242en_US
dc.identifier.issn0040-5752en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46000
dc.description.abstractLikelihood estimation and testing procedures are described for treating geographic variation in allelic frequencies as a logistic function of environmental variables. The basic response curve is sigmoidal, and avoids the necessity of invoking environmental thresholds imposed by a linear response model. The one-locus two-allele, one-locus three-alleles, and two-locus two-allele cases are explicitly treated, and the extensions to multiple alleles and loci are indicated. Three cases of geographic variation in gametic frequencies are analyzed to illustrate the utility of these techniques. A biological rationale is given for a sigmoidal response curve, and the utility of the logit model for univariate and multivariate “analysis of variance” is indicated.en_US
dc.format.extent536202 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherPlant Sciencesen_US
dc.subject.otherBiotechnologyen_US
dc.subject.otherBiochemistry, Generalen_US
dc.subject.otherLife Sciencesen_US
dc.subject.otherAgricultureen_US
dc.subject.otherPlant Biochemistryen_US
dc.subject.otherPlant Genetics & Genomicsen_US
dc.titleLikelihood analysis of geographic variation in allelic frequenciesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid24419275en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46000/1/122_2004_Article_BF00283476.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00283476en_US
dc.identifier.sourceTheoretical and Applied Geneticsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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