Expression profiling by high throughput sequencing
Summary
Bovine respiratory disease (BRD) is the most common and costly infectious disease affecting the well-being 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 utilized multi-omics data (genomics, transcriptomics, and metabolomics) analyses to study the associations between genome, transcriptome, metabolome, and BRD phenotype of feedlot crossbred cattle. The findings may be useful for the development of genomic selection strategies for BRD susceptibility, and for the development of new diagnostic and therapeutic tools.
Overall design
143 samples were collected from 80 cattle diagnosed with BRD and 63 pen matched controls at one time point. 43 of the samples are a re-analysis from a previous submission (GSE162156).
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