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Improving the accuracy of multi-breed prediction in admixed populations by accounting for the breed origin of haplotype segments

dc.contributor.authorSchmid, Markus
dc.contributor.authorStock, Joana
dc.contributor.authorBennewitz, Jörn
dc.contributor.authorWellmann, Robin
dc.date.accessioned2024-10-23T12:25:50Z
dc.date.available2024-10-23T12:25:50Z
dc.date.issued2022de
dc.description.abstractNumerically small breeds have often been upgraded with mainstream breeds. This historic introgression predisposes the breeds for joint genomic evaluations with mainstream breeds. The linkage disequilibrium structure differs between breeds. The marker effects of a haplotype segment may, therefore, depend on the breed from which the haplotype segment originates. An appropriate method for genomic evaluation would account for this dependency. This study proposes a method for the computation of genomic breeding values for small admixed breeds that incorporate phenotypic and genomic information from large introgressed breeds by considering the breed origin of alleles (BOA) in the evaluation. The proposed BOA model classifies haplotype segments according to their origins and assumes different but correlated SNP effects for the different origins. The BOA model was compared in a simulation study to conventional within-breed genomic best linear unbiased prediction (GBLUP) and conventional multi-breed GBLUP models. The BOA model outperformed within-breed GBLUP as well as multi-breed GBLUP in most cases.en
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16810
dc.identifier.urihttps://doi.org/10.3389/fgene.2022.840815
dc.language.isoengde
dc.rights.licensecc_byde
dc.source1664-8021de
dc.sourceFrontiers in genetics; Vol. 13 (2022) 840815de
dc.subjectAdmixed population
dc.subjectMulti-breed genomic prediction
dc.subjectBOA model
dc.subjectCattle
dc.subjectAllele origin
dc.subject.ddc630
dc.titleImproving the accuracy of multi-breed prediction in admixed populations by accounting for the breed origin of haplotype segmentsen
dc.type.diniArticle
dcterms.bibliographicCitationFrontiers in genetics, 13 (2022), 840815. https://doi.org/10.3389/fgene.2022.840815. ISSN: 1664-8021
dcterms.bibliographicCitation.issn1664-8021
dcterms.bibliographicCitation.journaltitleFrontiers in genetics
dcterms.bibliographicCitation.volume13
local.export.bibtex@article{Schmid2022, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16810}, doi = {10.3389/fgene.2022.840815}, author = {Schmid, Markus and Stock, Joana and Bennewitz, Jörn et al.}, title = {Improving the Accuracy of Multi-Breed Prediction in Admixed Populations by Accounting for the Breed Origin of Haplotype Segments}, journal = {Frontiers in genetics}, year = {2022}, volume = {13}, }
local.export.bibtexAuthorSchmid, Markus and Stock, Joana and Bennewitz, Jörn et al.
local.export.bibtexKeySchmid2022
local.export.bibtexType@article

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