ArticleAnimals : an open access journal from MDPI2025
Identification of Resistance Loci to Avian Leukosis via Genome-Wide Association Analysis in Chengkou Mountain Chickens.
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 3 papers.
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Research Progress on Pathogenesis and Prevention of Avian Leukosis Virus J Subgroup (ALV-J).Veterinary sciences · 2026Review
- Multidimensional regulatory mechanisms of chicken immunity: focus on viral infection, intestinal microbiota and heat stress.Frontiers in veterinary science · 2026Review
- Deciphering host-virus interaction networks in ALV infection: an integrative multi-omics perspective.Frontiers in immunology · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Avian leukosis (AL), a major vertically transmitted infectious disease, poses a significant challenge to the conservation and industrial development of indigenous chicken breeds in China. In this study, Chengkou mountain chickens were used as a model to systematically identify genetic markers associated with resistance to avian leukosis virus subgroup J (ALV-J) through a genome-wide association study (GWAS). Genomic DNA was extracted from 500 hens at 300 days of age, and cloacal swabs, plasma, and egg white samples were collected to assess the ALV-J infection status. A total of 325 ALV-positive (ALV+) and 175 ALV-negative (ALV-) individuals were identified. Based on 10× whole-genome resequencing and stringent quality control, 12,644,463 high-quality SNPs were obtained. GWAS revealed a significant enrichment of SNPs on chromosome 6 (Chr6), from which 218 SNPs significantly associated with ALV-J resistance and 49 candidate genes were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that many of these genes, including
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Registered trials
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