Association analysis, causal inference, and modeling of genetic, environmental, lifestyle, and clinical determinants in the occurrence, progression, and prognosis of age-related diseases

Diseases associated with aging, such as coronary heart disease, hypertension, heart failure, arrhythmia, diabetes, metabolic syndrome, chronic obstructive pulmonary disease, chronic kidney diseases, stroke and dementia, have become major challenges to global public health, and there is an urgent need to accurately identify their risk factors and develop personalized prevention and control strategies. Previous studies have pointed out that genetic factors, environmental exposure, lifestyle and clinical factors can affect the occurrence, development and prognosis of age-related diseases. However, whether these factors are really related to age-related diseases and how they affect the occurrence and development of diseases still needs large-scale research. Our research aims to analyze the associations of genetic, environmental, lifestyle, and clinical determinants with the occurrence, progression, and prognosis of aging-related diseases, explore their causal relationships, and construct comprehensive models to predict the occurrence, progression, and prognosis of aging-related diseases.
The three-year project contributes to the diagnosis, treatment and prognosis of age-related diseases and to inform public health strategies. The implementation of this project will help to clarify the mechanism of the occurrence and development of age-related diseases, discover the high-risk groups of age-related diseases, realize early prevention and early treatment, so as to reduce the occurrence of age-related diseases and improve their prognosis.