Evidence map›Paper›PMID 39831199›Full record

ArticleFrontiers in genetics2024

Genomic selection for resistance to one pathogenic strain of

Munusamy Ajithkumar, Jonathan D'Ambrosio, Marie-Agnès Travers, Romain Morvezen, Lionel Degremont

Abstract read
In one paragraph

Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

5 authors.

Munusamy AjithkumarIfremer, Ressources Biologiques et Environnement (RBE)-ASIM, La Tremblade, France.
Jonathan D'AmbrosioSYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Marie-Agnès TraversIHPE, CNRS, Ifremer, Université de Montpellier, University Perpignan Via Domitia, Montpellier, France.
Romain Morvezen *SYSAAF, Station LPGP/INRAE, Campus de Beaulieu, Rennes, France.
Lionel Degremont *Ifremer, Ressources Biologiques et Environnement (RBE)-ASIM, La Tremblade, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The blue mussel is one of the major aquaculture species worldwide. In France, this species faces a significant threat from infectious disease outbreaks in both mussel farms and the natural environment over the past decade. Diseases caused by various pathogens, particularly Methods: In this work, we tested genomic selection in the blue mussel ( Results: From potentially 23.5K SNPs for Discussion: GWAS revealed the polygenic architecture of the resistance trait in the blue mussel. The genomic selection models studied showed overall better performance than the pedigree-based model in terms of accuracy of breeding values prediction. This work provides insights into the genetic basis of resistance to

Indexed as

breeding programGWASlinkage disequilibriummortalitymusselsprediction accuracyVibrio

Identifiers

PMID39831199
PMCPMC11739312

What Socratic holds

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LicenceCC BY
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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 Socratic graph.