Using RNAseq data to improve genomic selection in dairy cattle

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dc.contributor.author Lopdell, Thomas en
dc.contributor.author Tiplady, K en
dc.contributor.author Littlejohn, M en
dc.coverage.spatial Auckland en
dc.date.accessioned 2018-10-09T22:51:52Z en
dc.date.issued 2018 en
dc.identifier.citation World Congress on Genetics Applied to Livestock Production, Auckland, 11 Feb 2018 - 16 Feb 2018. Proceedings of the World Congress on Genetics Applied to Livestock Production. 11 Method and Tools - Prediction 1: 5 pages. 2018 en
dc.identifier.uri http://hdl.handle.net/2292/40101 en
dc.description.abstract Genomic selection is playing an increasingly important role in animal breeding worldwide. For reasons of cost and computational feasibility, it is useful to select variant sets of maximum predictive ability, while minimising the number of variants required. RNA sequencing has the potential to aid variant selection in two ways: first, by enabling the discovery of variants of strong biological relevance (by virtue of their expression in tissues of interest); and second, by empowering the discovery of expression QTL, enabling enrichment of variant data with loci of demonstrable, modulatory effect. In this study, RNAseq was performed on lactating mammary gland from 373 New Zealand dairy cattle, followed by variant calling and eQTL discovery. Significant eQTL were identified at 3,738 genes, yielding 3,695 distinct tag variants, which were subsequently tested for their ability to predict milk volume, fat and protein phenotypes in a genomic selection context. We show that variants selected in this manner show good predictive abilities for these phenotypes, and that RNAseq is a potentially useful approach for enhancing variant selection. en
dc.description.uri http://www.wcgalp.org/system/files/proceedings/2018/using-rnaseq-data-improve-genomic-selection-dairy-cattle.pdf en
dc.relation.ispartof World Congress on Genetics Applied to Livestock Production en
dc.relation.ispartofseries Proceedings of the World Congress on Genetics Applied to Livestock Production en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.title Using RNAseq data to improve genomic selection in dairy cattle en
dc.type Conference Item en
pubs.volume 11 Method and Tools - Prediction 1 en
dc.rights.holder Copyright: The authors en
pubs.author-url http://www.wcgalp.org/proceedings/2018/using-rnaseq-data-improve-genomic-selection-dairy-cattle en
pubs.finish-date 2018-02-16 en
pubs.start-date 2018-02-11 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 740331 en
pubs.record-created-at-source-date 2018-05-16 en
pubs.online-publication-date 2018-05-09 en


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https://creativecommons.org/licenses/by-nc-nd/4.0/ Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/

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