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dc.contributor.authorRing, S. C.
dc.contributor.authorPurfield, D. C.
dc.contributor.authorGood, M.
dc.contributor.authorBreslin, P.
dc.contributor.authorRyan, E.
dc.contributor.authorBlom, A.
dc.contributor.authorEvans, R. D.
dc.contributor.authorDoherty, M. L.
dc.contributor.authorBradley, D. G.
dc.contributor.authorBerry, Donagh
dc.date.accessioned2020-07-31T11:02:08Z
dc.date.available2020-07-31T11:02:08Z
dc.date.issued2019-02-14
dc.identifier.citationRing SC, Purfield DC, Good M, Breslin P, Ryan E, Blom A, et al. (2019) Variance components for bovine tuberculosis infection and multi-breed genome-wide association analysis using imputed whole genome sequence data. PLoS ONE 14(2): e0212067. https://doi.org/10.1371/journal.pone.0212067en_US
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11019/2213
dc.descriptionpeer-revieweden_US
dc.description.abstractBovine tuberculosis (bTB) is an infectious disease of cattle generally caused by Mycobacterium bovis, a bacterium that can elicit disease humans. Since the 1950s, the objective of the national bTB eradication program in Republic of Ireland was the biological extinction of bTB; that purpose has yet to be achieved. Objectives of the present study were to develop the statistical methodology and variance components to undertake routine genetic evaluations for resistance to bTB; also of interest was the detection of regions of the bovine genome putatively associated with bTB infection in dairy and beef breeds. The novelty of the present study, in terms of research on bTB infection, was the use of beef breeds in the genome-wide association and the utilization of imputed whole genome sequence data. Phenotypic bTB data on 781,270 animals together with imputed whole genome sequence data on 7,346 of these animals’ sires were available. Linear mixed models were used to quantify variance components for bTB and EBVs were validated. Within-breed and multi-breed genome-wide associations were undertaken using a single-SNP regression approach. The estimated genetic standard deviation (0.09), heritability (0.12), and repeatability (0.30) substantiate that genetic selection help to eradicate bTB. The multi-breed genome-wide association analysis identified 38 SNPs and 64 QTL regions associated with bTB infection; two QTL regions (both on BTA23) identified in the multi-breed analysis overlapped with the within-breed analyses of Charolais, Limousin, and Holstein-Friesian. Results from the association analysis, coupled with previous studies, suggest bTB is controlled by an infinitely large number of loci, each having a small effect. The methodology and results from the present study will be used to develop national genetic evaluations for bTB in the Republic of Ireland. In addition, results can also be used to help uncover the biological architecture underlying resistance to bTB infection in cattle.en_US
dc.language.isoenen_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.ispartofseriesPLoS One;14
dc.rightsAttribution-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.subjectbovine tuberculosis infectionen_US
dc.subjectassociation analysisen_US
dc.subjectwhole genome sequence dataen_US
dc.subjectgenomicsen_US
dc.subjectgenome analysisen_US
dc.subjectcattleen_US
dc.titleVariance components for bovine tuberculosis infection and multi-breed genome-wide association analysis using imputed whole genome sequence dataen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0212067
dc.contributor.sponsorDepartment of Agriculture, Food and the Marineen_US
dc.contributor.sponsorScience Foundation Irelanden_US
dc.contributor.sponsorGrantNumber14/IA/2576en_US
dc.contributor.sponsorGrantNumber16/RC/3835en_US
dc.source.volume14
dc.source.issue2
dc.source.beginpagee0212067
refterms.dateFOA2020-07-31T11:02:09Z


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