ArticleFrontiers in genetics2022
Applying multi-omics data to study the genetic background of bovine respiratory disease infection in feedlot crossbred cattle.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 20 citations in OpenAlex.
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Genome-wide association study reveals key genomic regions underlying colostrability in Italian Holstein cattle.Genetics, selection, evolution : GSE · 2026Article
- Mapping Variability in Bovine Respiratory Disease Risk Factors in Beef Production Systems: A Scoping Review.Animals : an open access journal from MDPI · 2026Review
- Gene expression links consistent immune and inflammatory pathways to bovine respiratory disease in high-risk stocker cattle.Scientific reports · 2026Article
- moiraine: an R package to construct reproducible pipelines for the application and comparison of multi-omics integration methods.Bioinformatics (Oxford, England) · 2026Article
- Detection of viruses associated with bovine respiratory disease complex in samples collected from Albanian cattle during 2022/2023.Access microbiology · 2026Article
- Host-Microbe Interactions: Prospects of Machine Learning and Deep Learning Technologies in Animal Viral Disease Management.Veterinary sciences · 2025Review
- Integrative genomics sheds light on the immunogenetics of tuberculosis in cattle.Communications biology · 2025Article
- Mapping genomic regions affecting sensitivity to bovine respiratory disease on chromosome X using selective DNA pooling.Scientific reports · 2025Article
- Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025Review
- Article
- Weighted gene co-expression network analysis identifies functional modules related to bovine respiratory disease.PloS one · 2025Article
- Multi-omics investigation into long-distance road transportation effects on respiratory health and immunometabolic responses in calves.Microbiome · 2024Article
- Identification of DNA methylation markers for age and Bovine Respiratory Disease in dairy cattle: A pilot study based on Reduced Representation Bisulfite Sequencing.Communications biology · 2024Article
- Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle.Scientific reports · 2024Article
- Comprehensive time-course gene expression evaluation of high-risk beef cattle to establish immunological characteristics associated with undifferentiated bovine respiratory disease.Frontiers in immunology · 2024Article
- Article
- Influence of the At-Arrival Host Transcriptome on Bovine Respiratory Disease Incidence during Backgrounding.Veterinary sciences · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bovine respiratory disease (BRD) is the most common and costly infectious disease affecting the wellbeing and productivity of beef cattle in North America. BRD is a complex disease whose development is dependent on environmental factors and host genetics. Due to the polymicrobial nature of BRD, our understanding of the genetic and molecular mechanisms underlying the disease is still limited. This knowledge would augment the development of better genetic/genomic selection strategies and more accurate diagnostic tools to reduce BRD prevalence. Therefore, this study aimed to utilize multi-omics data (genomics, transcriptomics, and metabolomics) analyses to study the genetic and molecular mechanisms of BRD infection. Blood samples of 143 cattle (80 BRD; 63 non-BRD animals) were collected for genotyping, RNA sequencing, and metabolite profiling. Firstly, a genome-wide association study (GWAS) was performed for BRD susceptibility using 207,038 SNPs. Two SNPs (Chr5:25858264 and BovineHD1800016801) were identified as associated (
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