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Genomic Risk Prediction of Coronary Artery Disease in Adults

last modified Oct 23, 2018 10:41 AM

A recent study by Dr Mike Inouye, Prof John Danesh and collaborators has described the development and evaluation of a new genomic risk score to predict the risk of coronary artery disease (CAD) in adults. The work used data from 500,000 participants and greatly advances the concept of using genomic information to stratify individuals with different trajectories of CAD risk.

Dr Michael Inouye, of the Baker Heart and Diabetes Institute and University of Cambridge, said:

“While roughly half of coronary heart disease is down to genetics or is inherited, the other half is lifestyle or environmental. The availability of cost-efficient genetic testing for future heart attacks is imminent and has the potential to transform primary prevention of disease as we know it.”
 
The study was published in the Journal of the American College of Cardiology and highlights the potential for genomic screening in early life to complement conventional risk prediction.

This work also highlights the activities of a new international collaboration at the Clinical School - the Cambridge Baker Systems Genomics Initiative - which Dr Inouye leads.
 
More coverage of the article can be found at:  BBC, The Guardian, The Telegraph and The Sydney Morning Herald 

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