UCL Institute of Cardiovascular Science
- Myocardial disease
- Structural heart disease
- Vascular disease
- Cardiovascular genetics
- Regenerative medicine
- Genetic epidemiology and translational cardiovascular genomics
- Preventions and outcomes
- News & events
- For staff
- Contact us
Risk of heart disease often runs in families, suggesting a genetic influence. These may be single gene defects or many genes which together increase risk of heart disease. To identify precisely the genes involved, a consortium has been established at UCL which enables us to study more than 25,000 healthy individuals followed over many years for the development of heart disease. In the future this may lead to the development of genetic tests that will help identify those at risk of early heart disease so they can be offered lifestyle and therapeutic measures to reduce their risk.
Key research activities
Conventional heart disease risk factors, such as cholesterol levels, blood pressure etc. only explains part of an individual’s risk, but we can add genetic information to these factors and improve risk prediction.
More than 40 genes have been identified that influence an individual’s risk and we are measuring them in large groups of healthy people and people with heart disease to work out how they cause disease, and the best combination to use to identify those at risk.
Identifying the exact change in the gene that can explain these associations is our ultimate goal. This may help develop new drugs used to treat people at high risk. New methodologies and the novel use of Bioinformatics are being developed in our Centre to achieve this.
In the UK an estimated
120,000 individuals have FH, caused by a single gene defect, resulting in high
blood cholesterol and increased early heart disease. FH patients respond well
to cholesterol-lowering by statins making early identification important and
life-saving. We have shown that it is cost-effective to use a genetic test in
these families to identify new FH cases. We are using state of the art “Deep-Sequencing” technology to identify the
genetic basis of FH in those patients where no mutation can currently be found.