Approved research
Unravelling the Multi-Omics and Environmental Dynamics in Aging Diseases of osteoarthritis, back pain, osteoporosis, and hip fractures: An Integrated Analysis with UK Biobank Data
Lay summary
Primary Goal:
This research is dedicated to deepening our understanding of aging-related diseases, particularly osteoarthritis, back pain, osteoporosis, hip fractures, etc., which significantly impair the quality of life in older adults. The project's specific aims are to:
Identify Genetic and Omics-Based Factors: Determine the genetic markers and omics profiles (including genomic, proteomic, metabolomic data) that increase susceptibility to these diseases.
Explore Gene-Environment-Omics Interactions: Investigate how lifestyle choices and environmental factors interact with genetic and omics data to influence the development and progression of these diseases.
Develop Comprehensive Risk Prediction Models: Create models incorporating genetic, omics, clinical, and environmental data to identify individuals at higher risk of these conditions.
Identify Targets for Interventions: Discover potential biomarkers and pathways for new treatments or preventive strategies based on genetic and omics findings.
Scientific Rationale:
With the global population aging, the prevalence of diseases like osteoarthritis, osteoporosis, and hip fractures is rising. Aging brings about physiological changes that can lead to these health issues. While the role of genetics and environment in these diseases is recognized, the comprehensive interplay involving omics data is not fully understood. This research will leverage the extensive UK Biobank's resources to explore these multifaceted relationships.
Project Duration:
The research is planned to span 36 months, allowing sufficient time for detailed data analysis, synthesis of findings, and dissemination of results to the scientific community and public.
Public Health Impact:
This research has the potential for substantial public health benefits:
Early Detection: Enhanced understanding of risk factors will enable earlier identification of individuals at risk, facilitating timely intervention.
Personalized Medicine: Insights into genetic and omics profiles will allow for more personalized, effective treatments with reduced side effects.
Prevention Strategies: A better grasp of how lifestyle interacts with genetic and omics factors will inform more effective prevention guidelines.
Reducing Healthcare Costs: Effective prevention and early treatment strategies could significantly reduce the financial burden on healthcare systems.