Evidence map›Paper›PMID 32385377›Full record

ArticleScientific reports2020

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

Sara Pegolo, Mehdi Momen, Gota Morota, Guilherme J M Rosa, Daniel Gianola, Giovanni Bittante, Alessio Cecchinato

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

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  5. Quantitative omnigenic model discovers interpretable genome-wide associations.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  14. Genomic structural equation modelling provides a whole-system approach for the future crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Sara PegoloDepartment of Agronomy, Food Natural resources, Animals and Environment, University of Padua, Legnaro, (PD), Italy. sara.pegolo@unipd.it.ORCID http://orcid.org/0000-0001-6390-9826
Mehdi MomenDepartment of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Gota MorotaDepartment of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0002-3567-6911
Guilherme J M RosaDepartment of Animal Sciences, University of Wisconsin, Madison, WI, USA.ORCID http://orcid.org/0000-0001-9172-6461
Daniel GianolaDepartment of Animal Sciences, University of Wisconsin, Madison, WI, USA.
Giovanni BittanteDepartment of Agronomy, Food Natural resources, Animals and Environment, University of Padua, Legnaro, (PD), Italy.
Alessio CecchinatoDepartment of Agronomy, Food Natural resources, Animals and Environment, University of Padua, Legnaro, (PD), Italy.ORCID http://orcid.org/0000-0003-3518-720X
University of Padua · ITUniversity of Wisconsin–Madison · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

HealthModels, GeneticAnimalsCattleFemaleHydrogen-Ion ConcentrationLactoseMammary Glands, AnimalMilkPolymorphism, Single NucleotideLactose

Identifiers

PMID32385377
PMCPMC7210309
OpenAlexW3023071677

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.