Evidence map›Paper›PMID 35002460›Full record

ArticleSaudi journal of biological sciences2022

Association study between relative expression levels of eight genes and growth rate in Hungarian common carp (

Katalin Balog, Zoltán Bagi, Bianka Tóth, Bettina Hegedűs, Milán Fehér, László Stündl, Szilvia Kusza

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 88% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Katalin BalogFaculty of Science and Technology, University of Debrecen, 4032 Debrecen Egyetem tér 1., Hungary.
Zoltán BagiCentre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, PO. 400., Hungary.
Bianka TóthCentre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, PO. 400., Hungary.
Bettina HegedűsHungarian University of Agriculture and Life Sciences, Institute of Genetics and Biotechnology, 2100 Gödöllő, Páter Károly utca 1, Hungary.
Milán FehérLaboratory of Aquaculture, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen Böszörményi út 138., Hungary.
László StündlInstitute of Food Technology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen Böszörményi út 138., Hungary.
Szilvia KuszaCentre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, PO. 400., Hungary.
University of Debrecen · HUInstitute of Genetics · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important issues in improving the competitiveness of the fish production sector is to improve the growth rate of fish. The genetic background to this trait is at present poorly understood. In this study, we compared the relative gene expression levels of the Akt1s1, FGF, GH, IGF1, MSTN, TLR2, TLR4 and TLR5 genes in blood in groups of common carps (

Indexed as

Common carp (Cyprinus carpio)Growth ratemRNAPhenotypesRelative gene expression

Identifiers

PMID35002460
PMCPMC8716967
OpenAlexW3201469895

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.