Evidence map›Paper›PMID 25505486›Full record

ReviewFrontiers in genetics2014

Genetics and genomics of disease resistance in salmonid species.

José M Yáñez, Ross D Houston, Scott Newman

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
9.1field-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

68 citing papers in PubMed, 200 citations in OpenAlex.

  1. Article
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  13. What Can Genetics Do for the Control of Infectious Diseases in Aquaculture?Animals : an open access journal from MDPI · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Potential of genomic technologies to improve disease resistance in molluscan aquaculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  20. Article

8 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

José M YáñezFaculty of Veterinary and Animal Sciences, University of Chile Santiago, Chile ; Aquainnovo, Puerto Montt Chile.
Ross D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh Midlothian, UK.
Scott NewmanGenus plc, Hendersonville TN, USA.
Genus (United States) · USRoslin Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H022007/1
6 · The paper itself

Abstract

Infectious and parasitic diseases generate large economic losses in salmon farming. A feasible and sustainable alternative to prevent disease outbreaks may be represented by genetic improvement for disease resistance. To include disease resistance into the breeding goal, prior knowledge of the levels of genetic variation for these traits is required. Furthermore, the information from the genetic architecture and molecular factors involved in resistance against diseases may be used to accelerate the genetic progress for these traits. In this regard, marker assisted selection and genomic selection are approaches which incorporate molecular information to increase the accuracy when predicting the genetic merit of selection candidates. In this article we review and discuss key aspects related to disease resistance in salmonid species, from both a genetic and genomic perspective, with emphasis in the applicability of disease resistance traits into breeding programs in salmonids.

Indexed as

breeding programsdisease resistancegenomic selectionQTLsalmon

Identifiers

PMID25505486
PMCPMC4245001
OpenAlexW2080690656

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.