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dc.contributor.authorSelle, Maria Lie
dc.contributor.authorSteinsland, Ingelin
dc.contributor.authorLindgren, Finn
dc.contributor.authorBrajkovic, Vladimir
dc.contributor.authorCubric-Curik, Vlatka
dc.contributor.authorGorjanc, Gregor
dc.date.accessioned2022-09-23T12:41:51Z
dc.date.available2022-09-23T12:41:51Z
dc.date.created2021-02-11T21:40:18Z
dc.date.issued2020
dc.identifier.citationFrontiers in Genetics. 2020, 11 .en_US
dc.identifier.issn1664-8021
dc.identifier.urihttps://hdl.handle.net/11250/3020934
dc.description.abstractWe introduce a hierarchical model to estimate haplotype effects based on phylogenetic relationships between haplotypes and their association with observed phenotypes. In a population there are many, but not all possible, distinct haplotypes and few observations per haplotype. Further, haplotype frequencies tend to vary substantially. Such data structure challenge estimation of haplotype effects. However, haplotypes often differ only due to few mutations, and leveraging similarities can improve the estimation of effects. We build on extensive literature and develop an autoregressive model of order one that models haplotype effects by leveraging phylogenetic relationships described with a directed acyclic graph. The phylogenetic relationships can be either in a form of a tree or a network, and we refer to the model as the haplotype network model. The model can be included as a component in a phenotype model to estimate associations between haplotypes and phenotypes. Our key contribution is that we obtain a sparse model, and by using hierarchical autoregression, the flow of information between similar haplotypes is estimated from the data. A simulation study shows that the hierarchical model can improve estimates of haplotype effects compared to an independent haplotype model, especially with few observations for a specific haplotype. We also compared it to a mutation model and observed comparable performance, though the haplotype model has the potential to capture background specific effects. We demonstrate the model with a study of mitochondrial haplotype effects on milk yield in cattle. We provide R code to fit the model with the INLA package.en_US
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleHierarchical Modelling of Haplotype Effects on a Phylogenyen_US
dc.title.alternativeHierarchical Modelling of Haplotype Effects on a Phylogenyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber16en_US
dc.source.volume11en_US
dc.source.journalFrontiers in Geneticsen_US
dc.identifier.doi10.3389/fgene.2020.531218
dc.identifier.cristin1889010
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal