Evidence map›Paper›PMID 41740444›Full record

ArticlePoultry science2026

Identification and Characterization of sQTLs and eQTLs Associated with Growth Traits in Yellow-Feathered Broilers.

Genghua Chen, Junqi Cai, Changbin Zhao, Chuang Hu, Lin Qi, Xiquan Zhang, Wen Luo

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Genghua ChenCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Junqi CaiCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Changbin ZhaoCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Chuang HuCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Lin QiCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Xiquan ZhangCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Wen LuoCollege of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China. Electronic address: luowen729@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-depth investigation of genetic variants influencing muscle yield in chickens is crucial for maximizing the efficiency of improving production performance in local chicken breeding programs. To identify variants and genes affecting muscle yield in Chinese indigenous chickens, we performed a genome-wide association study (GWAS) on growth traits using genomic variants from Xinghua chickens. Subsequently, we mapped expression quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs) by integrating genotypic variation and transcriptomic data from muscle tissue. We identified a co-expression module comprising 348 genes associated with protein synthesis and ribosome biogenesis. Additionally, we detected 7948 eQTL-related genes and 1526 sQTL-related genes. Among the identified e/sQTLs, approximately 60% were located within gene bodies and were enriched in regions flanking transcription start sites or splice sites. Integrated analysis revealed that the overlap between eQTLs and sQTLs, as well as between eGenes and sGenes, was less than 5%, suggesting their distinct roles in gene expression and transcript splicing. Interestingly, the overlapping eGenes and sGenes were significantly enriched in pathways related to protein synthesis and translation, highlighting the potential importance of genes and variants involved in these processes for muscle growth in yellow-feathered broilers. In conclusion, this study provides novel insights and a valuable resource for understanding the genetic regulation of gene expression and alternative splicing in muscle tissue of yellow-feathered broilers.

Indexed as

ChickensQuantitative Trait LociAnimalsGenome-Wide Association StudyChickenExpression quantitative trait locusGrowth traitSplicing quantitative trait locusWhole genome sequencing

Identifiers

PMID41740444
PMCPMC12974106

What Socratic 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 Socratic graph.