| Title: | The value of risk scores to predict in the UK biobank population to predict clinical outcome, with a focus on atherosclerotic and thrombotic vascular events. |
| Lead Institution: | University Medical Center Groningen |
| Principal investigator: | Professor Pim van der Harst |
Application 12006
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About
Atherosclerotic disease, is an important cause of premature death and disability in industralized countries. Identification of subjects at risk is important to design strategies to prevent disease, or intervene early. In small studies traditional non-genetic risk scores have been proven to be effective in healthy subjects in predicting events. Independently from non-genetic risk scores, genetic risk scores have been developed. The value of combining both scores has not been well studied. We aim to determine the role of risk scores in the UK biobank population to predict clinical outcome, with a focus on atherosclerotic and thrombotic vascular events. The purpose of UK Biobank is to build a major resource supporting a diverse range of research intended to improve the prevention, diagnosis and treatment of illness and the promotion of health throughout society. This proposal may lead to the identification of new groups of subjects at risk for an atherosclerotic vascular event, which would provide us with the opportunity to design strategies to prevent these events, or to early intervene. In the first phase we will describe the baseline parameters and history of each participant. We will study potential risk factors, including environmental parameters, exercise (ECG changes), physical activity (acceleration data) and existing risk scores and determine its genetic correlates for the full cohort and relate them to cardiovascular disease prevalence and incidence. In the second phase we will evaluate the prognostic value of adding novel risk factors to existing risk scores for future clinical outcomes. All subjects of whom the baseline parameters and history are available will be included (full cohort).3 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 9313 | Associations of Observational and Genetically Determined Caffeine Intake With Coronary Artery Disease and Diabetes Mellitus | M. Abdullah Said (+3) | 2020 | Journal of the American Heart Association |
| 8502 | Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease | Pim van der Harst (+1) | 2017 | Circulation Research |
| 9413 | Phenotypic but not genetically predicted heart rate variability associated with all-cause mortality | Balewgizie S. Tegegne (+9) | 2023 | Communications Biology |
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