| Title: | Study on the Impact of Genetic Variation, Environmental Exposure, and Lifestyle Behaviors on Disease Progression and Health Outcomes in Patients with Chronic Infectious Diseases |
| Lead Institution: | Hangzhou Medical College |
| Principal investigator: |
Application 545732
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About
Research Question: Does genetic variation, environmental exposure, and lifestyle behavior influence the disease progression and health outcomes in patients with chronic infectious diseases? Aims: 1. Conduct genome-wide association studies (GWAS) to identify the impact of genetic factors and environments on various chronic non-communicable diseases and discover potential gene targets and specific mutations. 2. Develop risk prediction models for disease progression and mortality in chronic non-communicable diseases using machine learning, aiding early prevention, diagnosis, and providing more precise public health strategies for targeted treatment. 3. Investigate the factors influencing the progression and health outcomes of specific non-communicable diseases, such as cardiovascular, kidney, and metabolic diseases (CKM), with a special focus on identifying potential intervention points to reverse or slow the progression of CKM-related diseases. scientific rationale for the research: In recent years, despite growing awareness of the harmful effects of chronic non-communicable diseases (NCDs) and efforts to reduce risk through lifestyle changes such as smoking cessation and reduced alcohol consumption, the incidence and impact of NCDs continue to rise. Additionally, shifts in the social environment, such as the COVID-19 pandemic, as well as adverse living conditions like air pollution and noise, have further contributed to the high incidence of NCDs. With the rapid advancements in omics sequencing technologies, various omics levels provide a multidimensional analysis of disease risk: whole-genome sequencing reveals genetic risk factors, proteomics reflects changes in blood protein levels, and metabolomics reveals the metabolic characteristics of the human body.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16973 | Accelerometer-derived physical activity patterns and risk of incident gout: a prospective cohort study of 97,387 UK Biobank participants | Qiang Wang (+2) | 2025 | Arthritis Research & Therapy |
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