This research integrates multi-omics data (genomics, proteomics, and metabolomics) with epidemiological data from large-scale cohorts, particularly the UK Biobank, to investigate the genetic and molecular underpinnings of complex human traits and diseases. The focus will be on identifying key genetic variants and molecular pathways that contribute to the phenotypic variability of diseases such as gastrointestinal disorders, cardiovascular diseases, and endocrine/metabolic diseases. By exploring the interaction between different omics layers, we aim to uncover novel biomarkers and potential therapeutic targets that could inform precision medicine strategies. The study will employ advanced computational tools, network analysis, and experimental validation (e.g., gene editing techniques) to confirm the functional relevance of identified biomarkers. Ultimately, the findings from this project will contribute to the development of personalized approaches to disease prevention, diagnosis, and treatment, improving overall health outcomes.
