Multi-omics approaches to understand respiratory disease

The main scope of this thesis is to improve our understanding of the biological mechanisms of allergic disease, in particular asthma and rhinitis, by applying multi-omics approaches. We collected multi-omics data from the genome, epigenome, bulk and single-cell transcriptome, and the exposome. By applying association and machine learning approaches, we investigated epigenetic mechanisms of the development of allergic disease, revealed cell-type specific molecular regulation of asthma risk variants, identified biomarkers of allergy, and provided a prediction tool for allergic disease