| Title: | Exposome, Disease Trajectories and Multimorbidity Networks |
| Lead Institution: | Peking University |
| Principal investigator: |
Application 124348
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About
Diseases are not random events that happen to people. They are often influenced by many factors, such as age, lifestyle, genetics, environment, etc. Some diseases may also affect or be affected by other diseases, creating complex patterns of disease occurrence and development over time. For example, some people may develop diabetes before they get heart disease, while others may have the opposite order.Large population cohorts like UK Biobank are ideal for studying disease trajectories and comorbidity networks, potentially identifying critical pathways leading to health deterioration.In this three-year project, we employ trajectory analyses, an emergent method for identifying patterns of disease progression over time, to map the complex network of multimorbidity. By exploring associations between diseases and their progression sequences, our goals are as follows:1)To understand the dynamics of disease trajectories throughout individual's life. 2)To clarify connections between demographic factors and lifestyle factors, imaging data, omics-level data, and disease trajectories, along with the the influence of the onset of individual diseases on these trajectories.3)To use multidimensional data to predict individual disease trajectories. The scientific rationale for this project is that by understanding the patterns and factors of disease progression, we can better prevent and treat diseases. We can also provide more personalized and effective health care and interventions for different groups of people based on their disease trajectories. We would like to request access to the full cohort. After we get the data, we need 6 months to do the data cleaning, 10 months for data analysis, 12 months for developing models and tools to predict and intervene in disease outcomes , 4 months for paper drafting and 4 months for paper submitting and revising. The total period is 36 months. The public health impact of this project is potentially significant. It can help us to understand the burden and complexity of multimorbidity in the population, and to identify the exposure-omits that need more attention and support. It can also help us to design and evaluate more effective strategies and policies to prevent and manage multimorbidity, and to improve the health outcomes and quality of life of people with multimorbidity.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 15779 | Increased risk of multisystem comorbidities and disease trajectories following hyperthyroidism: evidence from the 0.5 million UK Biobank population | Qiuyuan Chen (+12) | 2025 | Endocrine Connections |
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