The proposed research aims to investigate the integrated impact of social factors, lifestyle choices, genetic predispositions, environmental exposures, and plasma biomarkers on both the incidence and prognosis of common non-communicable chronic diseases (NCD), including cardiovascular disease, diabetes, and cancer. This study will utilize UK Biobank’s extensive data to achieve the following objectives:
1. Data Integration and Analysis: We will conduct a comprehensive analysis of UK Biobank’s data to explore how social determinants (such as socioeconomic status and education), lifestyle factors (including diet, physical activity, and smoking), genetic markers, environmental exposures (such as air pollution and occupational hazards), and plasma biomarkers interact to influence the risk of developing NCD. Advanced statistical models and machine learning techniques will be employed to identify significant associations and interactions.
2. Assessment of Disease Progression: Using longitudinal data, we will assess how these factors contribute to the progression and prognosis of NCD. This will involve evaluating the impact of early-life exposures and current risk factors on disease outcomes, including disease severity, complications, and mortality rates.
3. Identification of Predictive Biomarkers and Risk Profiles: We will focus on identifying biomarkers and risk profiles that can predict disease onset and progression. This will include analyzing plasma biomarker data to uncover potential diagnostic and prognostic markers. The study aims to develop risk prediction models that integrate genetic, environmental, and biological factors to inform personalized prevention and treatment strategies.
The findings from this research will provide valuable insights into the multifaceted causes of NCD and could lead to more effective public health interventions and personalized medical approaches.
