The Cardiovascular Epidemiology Unit conducts powerful and detailed studies to identify and evaluate genetic, biochemical, lifestyle, and environmental risk factors for cardiovascular disease (CVD). The unit’s goals are: to understand the causes of CVD worldwide; to inform medicines development; to improve population screening and risk prediction. The unit leads several research programmes:
Collaborative meta-analysis based on pooling individual participant data: An example is the Emerging Risk Factors Collaboration, which involves data on 2.2 million people in 125 longitudinal studies worldwide
Epidemiology for therapeutics: An example is the Pfizer Centre for Translational Studies, which is embedded in the CEU and involves industry and academic scientists working together to accelerate medicines development by using molecular epidemiology
Risk factors for CVD in South Asia: Examples include the Pakistan Risk of Myocardial Infarction Study (PROMIS), which is investigating genetic factors, and the Bangladesh Risk of Acute Vascular Events Study (BRAVE), which is investigating environmental contaminants such as heavy metals
Gene-lifestyle interplay in coronary disease: An example is EPIC-Heart, a case-cohort study embedded in the 520,000-person prospective EPIC cohort, with detailed data on genes, dietary intake, and biomarkers
Interdisciplinary studies to optimise CVD screening: An example is EPIC-CVD, which aims to provide a menu of evidence-based options for clinicians and policy-makers related to stratified (or “personalised”) screening approaches across Europe, by conducting biomarker, health economic, and randomised intervention studies
Creation of bioresources for detailed CVD studies: An example is a 50,000-person study of blood donors inEnglandunder recruitment, which aims to create a scalable longitudinal study of volunteers who agree to periodic re-surveys and detailed sub-studies.
Two other important strands of the unit’s work relate to: 1) development of biostatistical methods to support the research programmes and 2) capacity-building in epidemiology, biostatistics, and public health through post-graduate training programmes.
Director: Professor John Danesh