Evidence map›Paper›PMID 40005876›Full record

ArticleVeterinary sciences2025

Genome-Wide Association Integrating a Transcriptomic Meta-Analysis Suggests That Genes Related to Fat Deposition and Muscle Development Are Closely Associated with Growth in Huaxi Cattle.

Cheng-Li Liu, Tao Ren, Peng-Cheng Ruan, Yong-Fu Huang, Simone Ceccobelli, De-Jun Huang, Lu-Pei Zhang, Guang-Xin E

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Cheng-Li LiuCollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.
Tao RenCollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.
Peng-Cheng RuanCollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.
Yong-Fu HuangCollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.
Simone CeccobelliDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-0416-5748
De-Jun HuangChongqing Academy of Animal Science, Chongqing 402460, China.
Lu-Pei ZhangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7701-2331
Guang-Xin ECollege of Animal Science and Technology, Southwest University, Chongqing 400715, China.ORCID 0000-0001-7116-5177

Funding

Fundamental Research Funds for the Central University SWU-XDJH202301Open Project of State Key Laboratory of Animal Biotech Breeding Grant No. 2024SKLAB6-111
6 · The paper itself

Abstract

Growth traits are among the most important economic phenotypes targeted in the genetic improvement of beef cattle. To understand the genetic basis of growth traits in Huaxi cattle, we performed a genome-wide association study (GWAS) on body weight, eye muscle area, and back fat thickness across five developmental stages in a population of 202 Huaxi cattle. Additionally, publicly available RNA-seq data from the longissimus dorsi muscle of both young and adult cattle were analyzed to identify key genes and genetic markers associated with growth in Huaxi cattle. In total, 7.19 million high-quality variant loci (SNPs and INDELs) were identified across all samples. In the GWAS, the three multilocus models (FarmCPU, MLMM, and BLINK) outperformed the conventional single-locus models (CMLM, GLM, and MLM). Consequently, GWAS analysis was conducted using multilocus models, which identified 99 variant loci significantly associated with growth traits and annotated a total of 83 candidate genes (CDGs). Additionally, 23 of the 83 CDGs overlapped with significantly differentially expressed genes identified from public RNA-seq datasets of longissimus dorsi muscle between young and adult cattle. Furthermore, gene functional enrichment (KEGG and GO) analyses revealed that over 30% of the pathways and GO terms were associated with muscle development and fat deposition, crucial factors for beef production. Specifically, key genes identified included

Indexed as

fat depositionGWASHuaxi cattlemuscle developmentRNA-seq

Identifiers

PMID40005876
PMCPMC11860805

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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.