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Post-genomic applications in IBD: exploitation of genetic information towards improved diagnosis and therapy. PI Mauro D'Amato, Department of Biosciences and Nutrition. Objectives Advance our understanding of inflammatory bowel disease pathogenesis by
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Post-genomic applications in IBD: exploitation of genetic information towards improved diagnosis and therapy PIMauro D'Amato, Department of Biosciences and Nutrition Objectives Advance our understanding of inflammatory bowel disease pathogenesis by • Studying expression profiles of all 170 known IBD risk genes and relevant pathways in different tissues from patients and controls (focus on IL23R, IL13, NOD2) • Correlating these profiles with genotype at all corresponding loci Establish disease diagnostic and predictive scores via computational integration of • Phenotype data (at recruitment and follow-up for patients) • Genotype data for all 170 known IBD risk loci • “Omics” profiles (RNA/protein expression) for all 170 known IBD risk loci Pave the way for personalized therapeutic approaches based on • Multilayer data integration (genotype, eQTL, GEX, drug targets and properties) for the identification of drug repositioning candidates or new compounds • In vitro and ex vivo preliminary validation of novel drug indications Clinical cohorts Swedish Interception Cohort for IBD ~1000 newly diagnosed, treatment naive patients followed for 10 years (recruitment ongoing) blood, serum and intestinal biopsies Technologies DNA/RNA/protein profiling, data integration and predictive modelling AZ contributions Jan Kilhamn (CVGI), Magnus Ivarsson (TSC)