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dc.contributor.authorLarsen, Camilla Thorrud
dc.contributor.authorHoland, Anna Marie
dc.contributor.authorJensen, Henrik
dc.contributor.authorSteinsland, Ingelin
dc.contributor.authorRoulin, Alexandre
dc.date.accessioned2017-10-30T13:17:46Z
dc.date.available2017-10-30T13:17:46Z
dc.date.created2014-04-25T20:30:06Z
dc.date.issued2014
dc.identifier.citationEcology and Evolution. 2014, 4 (9), 1555-1566.nb_NO
dc.identifier.issn2045-7758
dc.identifier.urihttp://hdl.handle.net/11250/2462906
dc.description.abstractGenetic evaluation using animal models or pedigree-based models generally assume only autosomal inheritance. Bayesian animal models provide a flexible framework for genetic evaluation, and we show how the model readily can accommodate situations where the trait of interest is influenced by both autosomal and sex-linked inheritance. This allows for simultaneous calculation of autosomal and sex-chromosomal additive genetic effects. Inferences were performed using integrated nested Laplace approximations (INLA), a nonsampling-based Bayesian inference methodology. We provide a detailed description of how to calculate the inverse of the X- or Z-chromosomal additive genetic relationship matrix, needed for inference. The case study of eumelanic spot diameter in a Swiss barn owl (Tyto alba) population shows that this trait is substantially influenced by variation in genes on the Z-chromosome (math formula and math formula). Further, a simulation study for this study system shows that the animal model accounting for both autosomal and sex-chromosome-linked inheritance is identifiable, that is, the two effects can be distinguished, and provides accurate inference on the variance components.nb_NO
dc.language.isoengnb_NO
dc.publisherWiley Open Accessnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOn estimation and identifiability issues of sex-linked inheritance with a case study of pigmentation in Swiss barn owl (Tyto alba)nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1555-1566nb_NO
dc.source.volume4nb_NO
dc.source.journalEcology and Evolutionnb_NO
dc.source.issue9nb_NO
dc.identifier.doi10.1002/ece3.1032
dc.identifier.cristin1129987
dc.relation.projectNorges forskningsråd: 221956nb_NO
dc.relation.projectNorges forskningsråd: 223257nb_NO
dc.description.localcode© 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.nb_NO
cristin.unitcode194,63,15,0
cristin.unitcode194,63,20,0
cristin.unitcode194,66,10,0
cristin.unitnameInstitutt for matematiske fag
cristin.unitnameInstitutt for elkraftteknikk
cristin.unitnameInstitutt for biologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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