| Title: | Gene-environment interaction and its differential pathogenicity in chronic respiratory diseases across various behavioral lifestyles. |
| Lead Institution: | China-Japan Friendship Hospital |
| Principal investigator: |
Application 277441
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About
Chronic Respiratory Disease (CRD) causes a significant disease burden worldwide. Although environmental factors (e.g., air pollution) and genetic factors are recognized as important determinants in the pathogenesis of chronic respiratory diseases, previous studies have often focused on investigating the independent associations of either environmental or genetic factors with disease risk, while paying less attention to their interaction. It has been demonstrated that the influence of genetic factors can be modified by environmental factors. Moreover, different behavioral lifestyles (such as smoking, dietary patterns, etc.) may lead to variations in the impact of gene-environment interaction on disease, this study aims to delve into gene-environment interaction and examine its differential effects on the pathogenicity of chronic respiratory diseases across various behavioral lifestyles. In this study, our primary aim is to comprehensively investigate the impact of gene-environment interaction on various chronic respiratory diseases. We aim to integrate clinical data, such as imaging data and biochemical indicators, to explore potential molecular mechanisms. Additionally, we intend to further analyze the effects of gene-environment interactions on different chronic respiratory diseases under various lifestyle conditions using different statistical models. Furthermore, based on the results of gene-environment interaction analysis, we will explore the comorbidity relationships and genetic risks between CRD and other chronic non-communicable diseases. Data analysis and the publication of the findings will be completed within 36 months. This research will better estimate the roles of genes and environment in the development and progression of CRD. Besides, it will enhance our understanding of CRD patients, thereby providing a basis for the prediction, prevention, and management of CRD.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21401 | Borderline Forced Expiratory Volume in 1 Second to Forced Vital Capacity and Low Forced Expiratory Volume in 1 Second Predict Disease Progression in High-Risk Populations With COPD. | Xingyao Tang (+15) | 2026 | Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation |
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