Kieran G. Meade

This study identifies candidate genes for trypanotolerance in African cattle by integrating genomic and transcriptomic data from hybrid populations.

The paper develops mRNA-based classifiers using RNA-seq and machine learning to accurately distinguish bTB-positive from bTB-negative cattle and other pathogens.

This study compares gene expression in trypanotolerant and trypanosusceptible cattle during trypanosome infection across multiple tissues and time points, identifying immune-related and coagulation genes associated with trypanotolerance.

This study integrates transcriptomic, genomic, and GWAS data to identify genes and eQTLs associated with the PB transcriptome response to M. bovis infection in cattle.

The paper uses local ancestry inference tools to analyze admixture in African and European cattle populations, identifying functional consequences of ancestry on disease resistance and physiological traits.

This study identifies extensive β-defensin gene copy number variation in cattle, particularly DEFB103, and links it to fertility-related traits.

The paper associates DEFB103 copy number variation with sperm motility, oviduct epithelium binding, and uterine gene expression, potentially affecting fertility outcomes in cattle.