Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle

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dc.contributor.authorBaba, Toshimien
dc.contributor.authorMorota, Gotaen
dc.contributor.authorKawakami, Junpeien
dc.contributor.authorGotoh, Yusakuen
dc.contributor.authorOka, Taroen
dc.contributor.authorMasuda, Yutakaen
dc.contributor.authorBrito, Luiz F.en
dc.contributor.authorCockrum, Rebecca R.en
dc.contributor.authorKawahara, Takayoshien
dc.date.accessioned2024-01-22T17:51:17Zen
dc.date.available2024-01-22T17:51:17Zen
dc.date.issued2023-07-13en
dc.description.abstractGrowth traits, such as body weight and height, are essential in the design of genetic improvement programs of dairy cattle due to their relationship with feeding efficiency, longevity, and health. We investigated genomic regions influencing height across growth stages in Japanese Holstein cattle using a single-step random regression model. We used 72,921 records from birth to 60 mo of age with 4,111 animals born between 2000 and 2016. The analysis included 1,410 genotyped animals with 35,319 single nucleotide polymorphisms, consisting of 883 females with records and 527 bulls, and 30,745 animals with pedigree information. A single genomic region at the 58.4 megabase pair on chromosome 18 was consistently identified across 6 age points of 10, 20, 30, 40, 50, and 60 mo after multiple testing corrections for the significance threshold. Twelve candidate genes, previously reported for longevity and gestation length, were found near the identified genomic region. Another location near the identified region was also previously associated with body conformation, fertility, and calving difficulty. Functional Gene Ontology enrichment analysis suggested that the candidate genes regulate dephosphorylation and phosphatase activity. Our findings show that further study of the identified candidate genes will contribute to a better understanding of the genetic basis of height in Japanese Holstein cattle.en
dc.description.versionPublished versionen
dc.format.extentPages 363-368en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3168/jdsc.2022-0347en
dc.identifier.eissn2666-9102en
dc.identifier.issn2666-9102en
dc.identifier.issue5en
dc.identifier.orcidMorota, Gota [0000-0002-3567-6911]en
dc.identifier.orcidCockrum, Rebecca [0000-0002-0040-238X]en
dc.identifier.otherPMC10505781en
dc.identifier.otherS2666-9102(23)00053-4 (PII)en
dc.identifier.pmid37727246en
dc.identifier.urihttps://hdl.handle.net/10919/117549en
dc.identifier.volume4en
dc.language.isoenen
dc.publisherAmerican Dairy Science Associationen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/37727246en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleLongitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattleen
dc.title.serialJDS Communicationsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherbrief-reporten
dc.type.otherJournal Articleen
dcterms.dateAccepted2023-03-22en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/School of Animal 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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