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

Abstract Mastitis 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 depen...

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Autores principales:	Sara Pegolo, Mehdi Momen, Gota Morota, Guilherme J. M. Rosa, Daniel Gianola, Giovanni Bittante, Alessio Cecchinato
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ed8f41cefe1e4dd5b9701f1d5a936cf3
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spelling	oai:doaj.org-article:ed8f41cefe1e4dd5b9701f1d5a936cf32021-12-02T14:49:43ZStructural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle10.1038/s41598-020-64575-32045-2322https://doaj.org/article/ed8f41cefe1e4dd5b9701f1d5a936cf32020-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-64575-3https://doaj.org/toc/2045-2322Abstract Mastitis 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.Sara PegoloMehdi MomenGota MorotaGuilherme J. M. RosaDaniel GianolaGiovanni BittanteAlessio CecchinatoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sara Pegolo Mehdi Momen Gota Morota Guilherme J. M. Rosa Daniel Gianola Giovanni Bittante Alessio Cecchinato Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
description	Abstract Mastitis 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.
format	article
author	Sara Pegolo Mehdi Momen Gota Morota Guilherme J. M. Rosa Daniel Gianola Giovanni Bittante Alessio Cecchinato
author_facet	Sara Pegolo Mehdi Momen Gota Morota Guilherme J. M. Rosa Daniel Gianola Giovanni Bittante Alessio Cecchinato
author_sort	Sara Pegolo
title	Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
title_short	Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
title_full	Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
title_fullStr	Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
title_full_unstemmed	Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
title_sort	structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ed8f41cefe1e4dd5b9701f1d5a936cf3
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Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

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