Evidence map›Paper›PMID 40452020›Full record

ArticleGenetics, selection, evolution : GSE2025

Genome-wide association studies and genetic architecture of carcass traits in Angus beef cattle using imputed whole-genome sequences data.

Hasan Baneh, Nikolay Elatkin, Laurent Gentzbittel

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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4 · The record

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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.

Hasan BanehProject Center for Agro Technologies, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia. hasanbaneh@gmail.com.ORCID http://orcid.org/0000-0003-2437-6005
Nikolay ElatkinLLC "Miratorg-Genetika", Moscow, Russia.
Laurent GentzbittelProject Center for Agro Technologies, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarcass related traits are economically important traits for the beef industry, which affect quantity, quality and pricing of meat and farmers profitability. The current study was carried out to identify genomic regions associated with carcass traits including carcass weight (CW), marbling score (MS), rib-eye area (REA), and back fat thickness (BFT). Genome-wide association studies (GWAS) were performed using linear mixed models on 6,511,978 imputed whole genome sequence (WGS) variants in a population of 13,241 Angus beef cattle. The genetic architecture of the traits was evaluated based on the GWAS results.

resultsWith a threshold of p-value < 3.96 × 10

conclusionsOur findings highlight the power of using imputation to perform GWAS and provide some valuable information for a better understanding of the underlying genetic background and architecture of carcass traits in beef cattle.

Indexed as

Genome-Wide Association StudyRed MeatAnimalsCattlePhenotypePolymorphism, Single NucleotideQuantitative Trait LociWhole Genome Sequencing

Identifiers

PMID40452020
PMCPMC12128320

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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.