ArticleGenetics, selection, evolution : GSE2017
A genome-wide association study in a large F2-cross of laying hens reveals novel genomic regions associated with feather pecking and aggressive pecking behavior.
Article in Genetics, selection, evolution : GSE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Genome-wide association studies and QTL mapping for traits deviating from normal distribution.National science review · 2026Article
- Development of a comprehensive GWAS atlas for chicken breeds.BMC bioinformatics · 2026Article
- RNA-Seq of Chicken Embryo Liver Reveals Transcriptional Pathways Influenced by Egg Formaldehyde Treatment.Genes · 2025Article
- Analysis of Risk Factors of Feather Pecking Injurious Behavior in Experimentally Raised Yangzhou Goslings in China.Animals : an open access journal from MDPI · 2025Article
- Transcriptomic and metabolomic analysis based on different aggressive pecking phenotype in duck.Scientific reports · 2024Article
- Identifying feature genes of chickens with different feather pecking tendencies based on three machine learning algorithms and WGCNA.Frontiers in veterinary science · 2024Article
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- Welfare issues and potential solutions for laying hens in free range and organic production systems: A review based on literature and interviews.Frontiers in veterinary science · 2022Review
- eQTL analysis of laying hens divergently selected for feather pecking identifies KLF14 as a potential key regulator for this behavioral disorder.Frontiers in genetics · 2022Article
- Meta-analyses of genome wide association studies in lines of laying hens divergently selected for feather pecking using imputed sequence level genotypes.BMC genetics · 2020Article
- Analysis of the brain transcriptome in lines of laying hens divergently selected for feather pecking.BMC genomics · 2020Article
- Smaller brains in laying hens: New insights into the influence of pure breeding and housing conditions on brain size and brain composition.Poultry science · 2020Article
- Genomewide Mapping of Selection Signatures and Genes for Extreme Feather Pecking in Two Divergently Selected Laying Hen Lines.Animals : an open access journal from MDPI · 2020Article
- Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking.Animals : an open access journal from MDPI · 2019Review
- Feather colour affects the aggressive behaviour of chickens with the same genotype on the dominant white (I) locus.PloS one · 2019Article
- Differences in cecal microbiome of selected high and low feather-pecking laying hens.Poultry science · 2018Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFeather pecking and aggressive pecking in laying hens are serious economic and welfare issues. In spite of extensive research on feather pecking during the last decades, the motivation for this behavior is still not clear. A small to moderate heritability has frequently been reported for these traits. Recently, we identified several single-nucleotide polymorphisms (SNPs) associated with feather pecking by mapping selection signatures in two divergent feather pecking lines. Here, we performed a genome-wide association analysis (GWAS) for feather pecking and aggressive pecking behavior, then combined the results with those from the recent selection signature experiment, and linked them to those obtained from a differential gene expression study.
methodsA large F2 cross of 960 F2 hens was generated using the divergent lines as founders. Hens were phenotyped for feather pecks delivered (FPD), aggressive pecks delivered (APD), and aggressive pecks received (APR). Individuals were genotyped with the Illumina 60K chicken Infinium iSelect chip. After data filtering, 29,376 SNPs remained for analyses. Single-marker GWAS was performed using a Poisson model. The results were combined with those from the selection signature experiment using Fisher's combined probability test.
resultsNumerous significant SNPs were identified for all traits but with low false discovery rates. Nearly all significant SNPs were located in clusters that spanned a maximum of 3 Mb and included at least two significant SNPs. For FPD, four clusters were identified, which increased to 13 based on the meta-analysis (FPD
conclusionsCombining the results from the GWAS with those of the selection signature experiment substantially increased the statistical power. The behavioral traits were controlled by many genes with small effects and no single SNP had effects large enough to justify its use in marker-assisted selection.
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