dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorRosa, Guilherme J. M.
dc.creatorYandell, Brian S.
dc.creatorGianola, Daniel
dc.date2014-05-27T11:20:29Z
dc.date2016-10-25T18:17:53Z
dc.date2014-05-27T11:20:29Z
dc.date2016-10-25T18:17:53Z
dc.date2002-07-25
dc.date.accessioned2017-04-06T01:02:53Z
dc.date.available2017-04-06T01:02:53Z
dc.identifierGenetics Selection Evolution, v. 34, n. 3, p. 353-369, 2002.
dc.identifier0999-193X
dc.identifierhttp://hdl.handle.net/11449/66939
dc.identifierhttp://acervodigital.unesp.br/handle/11449/66939
dc.identifier10.1186/1297-9686-34-3-353
dc.identifierWOS:000176561700004
dc.identifier2-s2.0-0035983153.pdf
dc.identifier2-s2.0-0035983153
dc.identifierhttp://dx.doi.org/10.1186/1297-9686-34-3-353
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/888442
dc.descriptionThe advent of molecular markers has created opportunities for a better understanding of quantitative inheritance and for developing novel strategies for genetic improvement of agricultural species, using information on quantitative trait loci (QTL). A QTL analysis relies on accurate genetic marker maps. At present, most statistical methods used for map construction ignore the fact that molecular data may be read with error. Often, however, there is ambiguity about some marker genotypes. A Bayesian MCMC approach for inferences about a genetic marker map when random miscoding of genotypes occurs is presented, and simulated and real data sets are analyzed. The results suggest that unless there is strong reason to believe that genotypes are ascertained without error, the proposed approach provides more reliable inference on the genetic map.
dc.languageeng
dc.relationGenetics Selection Evolution
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBayesian inference
dc.subjectGenetic map construction
dc.subjectMiscoded genotypes
dc.subjectmolecular marker
dc.subjectBayesian analysis
dc.subjectgenetics
dc.subjectselective breeding
dc.subjectBayes theorem
dc.subjectbiological model
dc.subjectbrassica napus
dc.subjectchromosome map
dc.subjectcomputer simulation
dc.subjectdata analysis
dc.subjectgene mapping
dc.subjectgenetic database
dc.subjectgenetic marker
dc.subjectgenetic recombination
dc.subjectgenotype
dc.subjectmethodology
dc.subjectmultifactorial inheritance
dc.subjectnonhuman
dc.subjectphenotype
dc.subjectquantitative trait
dc.subjectquantitative trait locus
dc.subjectreliability
dc.subjectstatistical analysis
dc.subjectrapeseed
dc.subjectBrassica
dc.subjectBrassica napus
dc.subjectBayes Theorem
dc.subjectChromosome Mapping
dc.subjectComputer Simulation
dc.subjectDatabases, Genetic
dc.subjectGenetic Markers
dc.subjectGenotype
dc.subjectModels, Genetic
dc.subjectQuantitative Trait, Heritable
dc.subjectRecombination, Genetic
dc.titleA Bayesian approach for constructing genetic maps when markers are miscoded
dc.typeOtro


Este ítem pertenece a la siguiente institución