Translational population science
Exploiting new genetic and epigenetic technologies
We use this data to work out which factors might help prevent illness, which treatments are most effective, and to predict how a disease might affect an individual.
Workstreams
Biomarkers
Using biological markers to study health and disease
Biosample management
Processing, governance and management of biosamples
Bioinformatics and causal analyses
Application of Mendelian randomization techniques
Research case studies
Biomarkers for screening lung cancer
Finding blood-based biomarkers to help diagnose lung cancer earlier.
Data driven approaches to drug target prioritisation
Drug design using genetic information.
Mendelian randomization impacts public health policy on alcohol use
Informing alcohol policy using evidence driven methods.
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Latest research news
New population-wide health data resource to accelerate research on COVID-19 and cardiovascular disease in England
For the first time, a new linked health data resource covering 54.4 million people – ...
NIHR Bristol BRC to benefit from internship programme to tackle underrepresentation of Black people in science
The National Institute for Health Research Bristol Biomedical Research Centre (NIHR Bristol BRC), a partnership ...