Research Questions:
1.How do cumulative exposome factors (e.g., environmental toxins, diet, stress, exercise) interact with genetic susceptibility to jointly influence ageing, cardiovascular disease (CVD) and related chronic disorders?
2.Which multi-omics features (genomics, epigenomics, transcriptomics, proteomics) mediate the effects of exposome-genetic and exposome-aging interactions on the pathogenesis of cardiovascular disease?
3.Can models integrating exposome-genetic-omics data improve risk prediction for CVD and related chronic diseases compared to traditional approaches?
Research Objectives:
1.Leverage geospatial data, biometric data (e.g., blood sample data, imaging data), and questionnaire data to quantify lifelong exposome exposure levels.
2.Identify exposome-genetic interactions by integrating genome-wide association studies (GWAS) with exposome-wide association analyses (EWAS).
3.Develop improved risk prediction models for CVD and related chronic diseases using multi-omics biomarkers (e.g., epigenetic clocks, inflammatory proteomic profiles) that link exposome-genetic interactions with accelerated aging.
Scientific Rationale:
The exposome-encompassing lifelong external and internal environmental exposures-interacts with genetic susceptibility, potentially driving disease through omics-level mechanisms such as epigenetic dysregulation and chronic inflammation. Therefore, integrating exposome, genetic, and multi-omics data may uncover novel disease pathways, identify high-risk populations for CVD and related chronic conditions, and enable precision prevention strategies for cardiovascular comorbidities.
Scientific Review:
Our findings will be disseminated through peer-reviewed publications, international conferences, and public genetic databases. We will share prediction models openly and communicate key results via public summaries and engagement with health organizations to support prevention policies.
