| Title: | Associations of Genetic Variants, Environmental Exposures, and Clinical Risk Factors with Disease Progression and Health Outcomes in Patients with Chronic Non-Communicable Diseases |
| Lead Institution: | The First Affiliated Hospital of Zhejiang Chinese Medical University |
| Principal investigator: |
Application 957249
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About
Chronic non-communicable diseases (NCDs)-including cardiovascular disease, chronic kidney disease, and type 2 diabetes-are leading global health challenges that frequently co-occur and share overlapping risk profiles. Despite preventive efforts, their incidence and burden continue to rise. This project aims to investigate which genetic variants, clinical risk factors, and environmental exposures contribute to disease progression and health outcomes in individuals with NCDs, with a focus on cardiorenal-metabolic (CKM) conditions. The main objectives are: (1) To evaluate emerging biomarkers (e.g., metabolic, immune, genetic) associated with NCD onset and progression; (2) To identify novel susceptibility loci through genome-wide association studies (GWAS), polygenic risk scoring (PRS), and rare variant analysis; (3) To assess the role of environmental exposures and gene-environment interactions in shaping disease phenotypes and prognosis; (4) To uncover key drivers of CKM progression and identify modifiable targets for intervention. The scientific rationale is based on advances in multi-omics and genetic epidemiology, including the use of Mendelian randomization (MR) to infer causality, and PRS for individual-level risk stratification. UK Biobank's rich dataset presents a unique opportunity to integrate clinical, environmental, and genomic data at scale, helping clarify disease mechanisms and improve personalized prevention strategies for NCDs.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18098 | Five lipid-inflammation composite indices and obesity-related metabolic disorders, cardiovascular and renal diseases A multi-state trajectory analysis using data from the UK Biobank cohort | Ran He (+7) | 2026 | Diabetes Research and Clinical Practice |
Enabling scientific discoveries that improve human health