Research Questions:
Otolaryngologic disorders show remarkable heterogeneity, yet most studies examine single conditions in isolation with limited sample sizes. Current gaps include: fragmented understanding of shared mechanisms, insufficient power for genetic discovery, lack of causal evidence for systemic associations, and absence of integrated multi-omics characterization. Key questions: What genetic/molecular pathways unite diverse ENT conditions? How do immune-metabolic profiles associate with disease development? What causal relationships exist with systemic diseases?
Objectives:
– Comprehensively characterize the epidemiology of ENT disorders including prevalence, incidence, risk factors, and disease trajectories
– Identify genetic susceptibility loci through genome-wide association studies and construct polygenic risk scores
– Exploring the genetic, immune, and metabolic characteristics of ENT disorders
– Characterize metabolic perturbations associated with ENT disease subtypes
– Establish causal relationships between ENT disorders and cardiovascular, neurological, metabolic, and autoimmune diseases
– Develop integrated multi-omics models for disease prediction and stratification
Scientific Rationale:
Existing ENT research is limited by single-disease focus and small samples, preventing comprehensive understanding of disease mechanisms. We will leverage multi-omics (genomics, proteomics, metabolomics) and epidemiological data to explore the pathogenic mechanisms and clinical characteristics of ENT disorders. This approach enables discovery of risk factors, biomarkers, and biological disease subtypes. Machine learning will identify patterns and develop predictive models. Where relevant, systemic associations will be explored to contextualize findings. This comprehensive analysis will advance understanding of ENT disease biology and clinical management.