Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4107
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dc.contributor.authorLee, Sang Hongen
dc.contributor.authorVan Der Werf, Julius Hermanen
local.source.editorEditor(s): AAABG: Association for the Advancement of Animal Breeding and Geneticsen
dc.date.accessioned2010-01-12T16:04:00Z-
dc.date.issued2007-
dc.identifier.citationProceedings of the Association for the Advancement of Animal Breeding and Genetics, p. 376-382en
dc.identifier.isbn1921208139en
dc.identifier.issn1328-3227en
dc.identifier.urihttps://hdl.handle.net/1959.11/4107-
dc.description.abstractLinkage disequilibrium (LD) information from closely linked markers has been widely used to fine-map quantitative trait loci (QTL). Steps needed for fine-mapping of QTL include inferring inheritance state of markers (haplotyping), estimating identity by descent (IBD) at QTL, and implementing the covariance structure based on IBD into a statistical model. Appropriate pedigree-genotype analysis can estimate more accurate inheritance state and haplotype configuration, which results in more accurate IBD probabilities. A variance component approach can implement covariance coefficients based on IBD probabilities in a mixed linear model to fit additive, dominance and epistasis QTL effects. We have also implemented a reversible jump Markov chain Monte Carlo (MCMC) method for multiple QTL mapping to account for confounding effects between closely linked QTL. Simulation results have shown that this method can improve the precision of mapping QTL.en
dc.languageenen
dc.publisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)en
dc.relation.ispartofProceedings of the Association for the Advancement of Animal Breeding and Geneticsen
dc.titleFine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage with general pedigreesen
dc.typeConference Publicationen
dc.relation.conferenceAAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Geneticsen
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameSang Hongen
local.contributor.firstnameJulius Hermanen
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo2008830302 Dairy Cattleen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailslee38@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:5815en
local.date.conference23rd - 26th September, 2007en
local.conference.placeArmidale, Australiaen
local.publisher.placeArmidale, Australiaen
local.format.startpage376en
local.format.endpage382en
local.peerreviewedYesen
local.identifier.volume17en
local.contributor.lastnameLeeen
local.contributor.lastnameVan Der Werfen
dc.identifier.staffune-id:slee38en
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:4206en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleFine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage with general pedigreesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.aaabg.org/livestocklibrary/2007/lee376.pdfen
local.conference.detailsAAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23rd - 26th September, 2007en
local.search.authorLee, Sang Hongen
local.search.authorVan Der Werf, Julius Hermanen
local.uneassociationUnknownen
local.conference.venueUniversity of New Englanden
local.year.published2007en
local.date.start2007-09-23-
local.date.end2007-09-26-
Appears in Collections:Conference Publication
School of Environmental and Rural Science
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