| Title: | Decoding Multimorbidity: A Pathway to Personalised Prevention. |
| Lead Institution: | University of Manchester |
| Principal investigator: |
Application 435869
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1. Explore the role of established risk factors and pathways for multimorbidity (e.g., cardiovascular disease, diabetes, hypertension, chronic respiratory diseases, cancer, osteoarthritis, chronic kidney disease, mental health disorders, neurological disorders, and dementia) in the UK population. 2. Discover the non-modifiable risks, lifestyle-related risk factors, medical history-related risk factors, imaging-related risks, genetic predispositions and metabolomic profiles, and explore the causal risks and pathways in multimorbidity (e.g., cardiovascular disease, diabetes, hypertension, chronic respiratory diseases, cancer, osteoarthritis, chronic kidney disease, mental health disorders, neurological disorders, and dementia) in the UK population. 3. Establish a comprehensive network analysis in the UK Biobank cohort by integrating current risk factors, genomic biomarkers and metabolomic profiles-related risks for multimorbidity (e.g., cardiovascular disease, diabetes, hypertension, chronic respiratory diseases, cancer, osteoarthritis, chronic kidney disease, mental health disorders, neurological disorders, and dementia).1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16767 | Physical activity and Alzheimer's disease risk across genetic susceptibility: a prospective UK Biobank study using accelerometer data | Seunghee Na (+4) | 2025 | Journal of Neurology |
Enabling scientific discoveries that improve human health