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- W3197132289 abstract "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." @default.
- W3197132289 created "2021-09-13" @default.
- W3197132289 creator A5059079638 @default.
- W3197132289 date "2021-09-20" @default.
- W3197132289 modified "2023-09-24" @default.
- W3197132289 title "Multi-omics approaches to understand respiratory disease" @default.
- W3197132289 doi "https://doi.org/10.33612/diss.178888560" @default.
- W3197132289 hasPublicationYear "2021" @default.
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