Translational population science

Exploiting new genetic and epigenetic technologies

Our Translational Population Science researchers work across the BRC, using sophisticated techniques to analyse the genetic and non-genetic profiles of many thousands of people participating in our studies. This includes the microorganisms that live on their bodies, the proteins their bodies make and changes to their DNA molecules, all of which may be important factors in predicting disease. 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.



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.

Get in touch

Academic Lead

Theme Manager

Hazel Phillips

Latest research news

Pfizer-BioNTech and AstraZeneca vaccines offer high protection against severe COVID-19, 6 months after second doses, finds study of over 7 million adults

21 July 2022

Protection against severe COVID-19 by two doses of Pfizer-BioNTech and AstraZeneca COVID-19 vaccines remained high ...

New population-wide health data resource to accelerate research on COVID-19 and cardiovascular disease in England

20 April 2021

For the first time, a new linked health data resource covering 54.4 million people – ...