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Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

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dc.contributor.authorPegolo, Saraen
dc.contributor.authorMomen, Mehdien
dc.contributor.authorMorota, Gotaen
dc.contributor.authorRosa, Gullherme J. M.en
dc.contributor.authorGianola, Danielen
dc.contributor.authorBittante, Giovannien
dc.contributor.authorCecchinato, Alessioen
dc.contributor.departmentAnimal and Poultry Sciencesen
dc.date.accessioned2021-09-24T16:40:31Zen
dc.date.available2021-09-24T16:40:31Zen
dc.date.issued2020-05-08en
dc.date.updated2021-09-24T16:40:27Zen
dc.description.abstractMastitis is one of the most prevalent and costly diseases in dairy cattle. It results in changes in milk composition and quality which are indicators of udder inflammation in absence of clinical signs. We applied structural equation modeling (SEM) - GWAS aiming to explore interrelated dependency relationships among phenotypes related to udder health, including milk yield (MY), somatic cell score (SCS), lactose (%, LACT), pH and non-casein N (NCN, % of total milk N), in a cohort of 1,158 Brown Swiss cows. The phenotypic network inferred via the Hill-Climbing algorithm was used to estimate SEM parameters. Integration of multi-trait models-GWAS and SEM-GWAS identified six significant SNPs for SCS, and quantified the contribution of MY and LACT acting as mediator traits to total SNP effects. Functional analyses revealed that overrepresented pathways were often shared among traits and were consistent with biological knowledge (e.g., membrane transport activity for pH and MY or Wnt signaling for SCS and NCN). In summary, SEM-GWAS offered new insights on the relationships among udder health phenotypes and on the path of SNP effects, providing useful information for genetic improvement and management strategies in dairy cattle.en
dc.description.versionPublished versionen
dc.format.extent15 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 7751 (Article number)en
dc.identifier.doihttps://doi.org/10.1038/s41598-020-64575-3en
dc.identifier.eissn2045-2322en
dc.identifier.issn2045-2322en
dc.identifier.issue1en
dc.identifier.orcidMorota, Gota [0000-0002-3567-6911]en
dc.identifier.other10.1038/s41598-020-64575-3 (PII)en
dc.identifier.pmid32385377en
dc.identifier.urihttp://hdl.handle.net/10919/105055en
dc.identifier.volume10en
dc.language.isoenen
dc.publisherNature Publishing Groupen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000560352200004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectcheese-making traitsen
dc.subjectsomatic-cell scoreen
dc.subjectmilk-yielden
dc.subjectinferring relationshipsen
dc.subjectprotein-compositionen
dc.subjectbrown swissen
dc.subjectcoagulation propertiesen
dc.subjectquantitative geneticsen
dc.subjectmammary-glanden
dc.subjectmastitisen
dc.subject.meshMammary Glands, Animalen
dc.subject.meshMilken
dc.subject.meshAnimalsen
dc.subject.meshCattleen
dc.subject.meshLactoseen
dc.subject.meshPolymorphism, Single Nucleotideen
dc.subject.meshHydrogen-Ion Concentrationen
dc.subject.meshModels, Geneticen
dc.subject.meshHealthen
dc.subject.meshFemaleen
dc.titleStructural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattleen
dc.title.serialScientific Reportsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2020-04-15en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Animal and Poultry Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen

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