John Francis O'Grady

The paper identifies cis-eQTL and reQTL in TB patients during treatment using RNA-seq data and variant imputation, showing changes in cell type proportions and gene expression.

This study uses multi-omics approaches to analyze how M. bovis infection reprograms the epigenome of bovine alveolar macrophages, identifying key genes and pathways involved in the host response.

The paper presents CattleGTEx, a resource characterizing regulatory effects in cattle, resolving GWAS signals and providing insights into adaptive evolution and selection.

The paper presents a multi-tissue sheep atlas identifying regulatory variants and their effects on molecular phenotypes, revealing allelic heterogeneity and evolutionary patterns.

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

The paper constructs a cattle cell-type-specific regulatory variant atlas by integrating bulk and single-cell RNA-seq data, identifying eQTL and linking them to GWAS loci for breeding insights.

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.

This study uses whole-genome sequencing and SNP arrays to analyze Criollo cattle from Colombia and Venezuela, revealing African and Asian admixture and selection signatures linked to adaptive traits.