| Title: | Development of personalized models for lifetime risk of chronic disease using detailed phenotypic data in the UK Biobank |
| Lead Institution: | University of Colorado, Anschutz Medical Campus |
| Principal investigator: |
Application 176948
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About
Over 70% of people die from chronic disease, such as cancer, coronary artery disease, or dementia. Healthcare systems are designed to treat chronic disease once it is found, but chronic disease often starts developing much earlier. Current widely-accepted prevention and screening recommendations for chronic diseases are typically based on what makes the most sense for the average person in the entire population. However, most people have a higher or lower risk for chronic disease compared to the average person. Currently, there is very little attention given to making prevention and screening recommendations personalized to individuals. We hope to use the detailed information in the UK Biobank to come up with a way to estimate the risk of developing different chronic diseases over the entire lifetime based on a variety of factors. These models can help people determine if their risk of developing a chronic disease is higher or lower than average. These models can then be used to guide personalized recommendations for screening tests (such as an early colonoscopy or a more detailed lipid panel) to catch chronic diseases early depending on an individual's particular risk. Furthermore, these models can also help people determine which factors are contributing to their own risk and can guide them to make lifestyle changes to reduce their risk of developing chronic disease in the first place.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18127 | Projecting Individualized Probabilities of Lifetime Total Cancer Risk Across a Population | Neel M. Butala (+7) | 2026 | JCO Oncology Advances |
Enabling scientific discoveries that improve human health