Evidence map›Paper›PMID 36243688›Full record

ArticleGenetics, selection, evolution : GSE2022

New insights into the genetic resistance to paratuberculosis in Holstein cattle via single-step genomic evaluation.

Marie-Pierre Sanchez, Thierry Tribout, Sébastien Fritz, Raphaël Guatteo, Christine Fourichon, Laurent Schibler, Arnaud Delafosse, Didier Boichard

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025
    Review
  7. Article
  8. Article
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  10. Article
  11. Effects of SilirumAnimals : an open access journal from MDPI · 2023
    Article
  12. Evaluation ofFrontiers in cellular and infection microbiology · 2023
    Article
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

8 authors at 2 institutions in 1 country.

Marie-Pierre SanchezUniversité Paris Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France. marie-pierre.sanchez@inrae.fr.ORCID http://orcid.org/0000-0002-1371-5342
Thierry TriboutUniversité Paris Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
Sébastien FritzUniversité Paris Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
Raphaël GuatteoOniris, INRAE, BIOEPAR, 44300, Nantes, France.
Christine FourichonOniris, INRAE, BIOEPAR, 44300, Nantes, France.
Laurent SchiblerEliance, 149 Rue de Bercy, 75012, Paris, France.
Arnaud DelafosseGDS Orne, 61000, Alençon, France.
Didier BoichardUniversité Paris Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
AgroParisTech · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FR

Funding

APIS-GENE PARADIGMGDS France PARADIGMINRAE GISA-PICSAR
6 · The paper itself

Abstract

backgroundBovine paratuberculosis, or Johne's disease (JD), is a contagious and incurable disease caused by Mycobacterium avium subsp. paratuberculosis (MAP). It has adverse effects on animal welfare and is very difficult to control, leading to serious economic consequences. An important line of defense to this disease is host genetic resistance to MAP, which, when it will be more fully understood, could be improved through selective breeding. Using a large dataset of Holstein cows (161,253 animals including 56,766 cows with ELISA serological phenotypes and 12,431 animals with genotypes), we applied a single-step single nucleotide polymorphism (SNP) best linear unbiased prediction approach to investigate the genetic determinism underlying resistance to this disease (heritability estimate and identification of relevant genomic regions) and estimated genetic trends, reliability, and relative risk factors associated with genomic predictions.

resultsResistance to JD was moderately heritable (0.14) and 16 genomic regions were detected that accounted for at least 0.05% of the breeding values variance (GV) in resistance to JD, and were located on chromosomes 1, 3, 5, 6, 7, 19, 20, 21, 23, 25, and 27, with the highest percentage of variance explained by regions on chromosomes 23 (0.36% GV), 5 (0.22% GV), 1 (0.14% GV), and 3 (0.13% GV). When estimated for the whole chromosomes, the autosomes with the largest overall contributions were chromosomes 3 (5.3% GV), 10 (4.8%), 23 (4.7%), 1 (3.6%), 7 (3.4%), 5 (2.9%), 12 (2.5%), 11 (2.2%), and 13 (2%). We estimated a slightly favorable genetic trend in resistance to JD over the last two decades, which can be explained by a low positive genetic correlation between resistance to JD and total merit index (+ 0.06). Finally, in a validation population of 907 cows, relatively reliable genomic predictions (reliability = 0.55) were obtained, which allowed the identification of cows at high risk of infection.

conclusionsThis study provides new insights into the genetic determinism of resistance to JD and shows that this trait can be predicted from SNP genotypes. It has led to the implementation of a single-step genomic evaluation that should rapidly become an effective tool for controlling paratuberculosis on French Holstein farms.

Indexed as

Cattle DiseasesMycobacterium avium subsp. paratuberculosisParatuberculosisAnimalsCattleFemaleGenomicsReproducibility of Results

Identifiers

PMID36243688
PMCPMC9569073
OpenAlexW4306292147

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.