Evidence map›Paper›PMID 29255117›Full record

ArticleG3 (Bethesda, Md.)2018

Genomic Prediction Accuracy for Resistance Against

Grazyella M Yoshida, Rama Bangera, Roberto Carvalheiro, Katharina Correa, René Figueroa, Jean P Lhorente, José M Yáñez

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
12.8field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 126 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024
    Review
  9. Estimation of Genetic Parameters for Growth and WSSV Resistance Traits inAnimals : an open access journal from MDPI · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022
    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

7 authors at 4 institutions in 3 countries.

Grazyella M YoshidaFacultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago 8820808, Chile.ORCID 0000-0002-6788-7369
Rama BangeraAkvaforsk Genetics, 6600 Sunndalsora, Norway.ORCID 0000-0002-5394-2427
Roberto CarvalheiroAnimal Science Department, School of Agricultural and Veterinarian Sciences, São Paulo State University, Campus of Jaboticabal, 14884-900, Brazil.ORCID 0000-0002-4506-0555
Katharina CorreaAquainnovo, Puerto Montt, Chile.ORCID 0000-0003-1386-8522
René FigueroaAquainnovo, Puerto Montt, Chile.ORCID 0000-0002-1645-9399
Jean P LhorenteAquainnovo, Puerto Montt, Chile.ORCID 0000-0002-9157-4231
José M YáñezFacultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago 8820808, Chile jmayanez@uchile.cl.ORCID 0000-0002-6612-4087
Instituto Tecnológico del Salmón · CLUniversidade Estadual Paulista (Unesp) · BRAkvaforsk Genetics Center (Norway) · NOUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonid rickettsial syndrome (SRS), caused by the intracellular bacterium

Indexed as

AnimalsBayes TheoremDisease ResistanceFish DiseasesGenome-Wide Association StudyGenomicsGenotypeOncorhynchus mykissPhenotypePiscirickettsiaPiscirickettsiaceae InfectionsPolymorphism, Single Nucleotidedisease resistancegenomic selectionGenPredOncorhynchus mykissreliabilityShared Data Resources

Identifiers

PMID29255117
PMCPMC5919750
OpenAlexW2781257652

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.