Evidence map›Paper›PMID 39858155›Full record

ArticleAnimals : an open access journal from MDPI2025

Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle.

Vladimir Kolpakov, Elena Bukareva, Dianna Kosyan, Alexey Ruchay, Vitaly Ryazanov

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Vladimir KolpakovFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0001-9658-7034
Elena BukarevaFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, Russia.
Dianna KosyanFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0002-2621-108X
Alexey RuchayFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0002-5996-669X
Vitaly RyazanovFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0003-0903-9561

Funding

Federal Scientific Center for Biological Systems and Agricultural Technologies of the Russian Academy of Sciences FNWZ-2024-0003
6 · The paper itself

Abstract

The use of GWASs in agriculture allows associations between SNPs and quantitative or qualitative traits in cattle to be estimated. This study investigated the relationships among a number of economically useful carcass traits (slaughter weight, meat yield, and meat marbling) with a group of SNPs that can act as DNA markers. Blood samples from Aberdeen Angus bulls (n = 260) were used as material for SNP genotyping. Genetic architecture for the kill yield trait showed the presence of 31 SNPs. Three SNPs were found to be the most reliable: BTB-00197584 (

Indexed as

Aberdeen Angus breedcattlegenome-wide associative studiesgenomic architectureproactive qualities

Identifiers

PMID39858155
PMCPMC11758604

What Socratic 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 Socratic graph.