| Title: | Investigating various exposure factors in relation to major diseases by integrating multi-omics data |
| Lead Institution: | Fudan University |
| Principal investigator: |
Application 798517
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About
Research Outline Research Title: Investigating Multi-Omics Data to Unravel Exposure Factors Associated with Major Diseases in the UK Biobank Cohort Research Questions: 1. What environmental and lifestyle exposure factors are significantly associated with the incidence of major diseases such as cardiovascular disease, diabetes, and cancer? 2. How do genetic predispositions interact with these exposure factors to influence disease risk? 3. Can integrated multi-omics analyses provide insights into the biological pathways that link exposure factors to disease outcomes? Objectives: - To identify key exposure factors linked to major diseases using multi-omics data from the UK Biobank. - To analyze the interactions between genetic factors and environmental/lifestyle exposures. - To elucidate the biological mechanisms underlying disease associations through pathway analyses. Scientific Rationale: Major diseases are complex and multifaceted, influenced by a combination of genetic, environmental, and lifestyle factors. Understanding these interactions is critical for developing effective prevention and treatment strategies. Previous research has often been limited by small sample sizes and fragmented data, which restricts the ability to draw robust conclusions. The UK Biobank offers a unique opportunity to leverage a large, diverse cohort with comprehensive health data and biological samples, enabling more powerful analyses. By employing a multi-omics approach, this research seeks to bridge existing knowledge gaps and provide insights into the etiology of major diseases. The findings could lead to targeted public health interventions and personalized medical approaches, ultimately improving health outcomes. Through this project, we aim to generate new knowledge that will not only enhance our understanding of disease mechanisms but also contribute valuable data fields that other researchers can utilize, fostering further investigations in the field1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 19089 | Comprehensive risk factor control in Type 2 diabetes and incident peripheral artery disease | Xiaohui Yu (+4) | 2025 | European Journal of Preventive Cardiology |
Enabling scientific discoveries that improve human health