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Department of Public Health and Primary Care (PHPC)

 

Cardiovascular Epidemiology Unit (CEU)

The CEU is an internationally renowned centre of excellence for the study of the causes and prevention of cardiovascular disease.  The CEU addresses strategic areas of unmet need with impact on scientific understanding, healthcare and industry; this involves improving knowledge of causal risk factors, medicines development, public health interventions, population screening and global health.

Read more at: Global Health

Global Health

In 2016, Cambridge University’s Cardiovascular Epidemiology partnered with three research centres operating across rural, urban and slum sites in Bangladesh to launch the BangladEsh Longitudinal Investigation of Emerging Vascular Events (BELIEVE) study: a large-scale prospective cohort investigation.

Read more at: Open-science resources
DNA - variations are used for risk scores

Open-science resources

Polygenic risk scores show promise for preventative medicine and improving health by targeting preventative treatments or earlier screening to those at the highest risk.

Read more at: Clinical Epidemiology

Clinical Epidemiology

Genetic determinants of cardiovascular disease and high-dimensional traits EPIC-CVD: the EPIC-Heart/EPIC-CVD study, a pan-European study of incident coronary disease and stroke including participants from 23 Centres across 10 European countries. This project has a wealth of genetic, biochemical and...

Read more at: Health Data Science

Health Data Science

Overview Our health data science research is at the forefront of big data and epidemiology, addressing key population health questions that may beneficially impact the health and well-being of individuals . Our multidisciplinary team brings together a rich blend of expertise in mathematics...

Read more at: Molecular Epidemiology

Molecular Epidemiology

The CEU has a major focus on studying domains of molecular traits of relevance to CVD and other common, complex diseases, including transcriptomics, proteomics, metabolomics/lipidomics and haematological traits. By conducting large-scale genetic discovery analyses, we can understand the genetic...

Read more at: Systems Genomics

Systems Genomics

Technological advances have continued to drive the study of biology towards the statistical and computational sciences. We are now able to differentiate and quantify biomolecules at levels previously unimaginable, allowing us to study their interactions and relationships to health and disease in an...

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