Associate Professor Jemma Hopewell
BSc (Hons) MSc PhD (Cantab)
Associate Professor & Senior Scientist in Genetic Epidemiology and Clinical Trials
- BHF Intermediate Basic Science Research Fellow
- MSc in Global Health Science Module Lead: Genetic Epidemiology
Associate Professor Jemma leads a medical statistics and genetic epidemiology team in a programme of research focusing on the use of genetic and clinical trial-based studies to investigate the causes and treatments for cardiovascular disease and arrhythmias. She has particular interests in determining predictors of patient response to therapy, using genetics to improve our understanding of drug targets and disease mechanisms, and genomic characterisation of vascular disease and its risk factors, particularly Lp(a). Jemma leads and collaborates on numerous projects involving CTSU's vascular mega-trials (e.g. HPS, SEARCH, THRIVE, REVEAL), large-scale studies and biobanks (e.g. PROCARDIS, UK Biobank), and international consortia (e.g. METASTROKE, CARDIoGRAMplusC4D, GoLEAD, CATCH-ME). She is a member of the Lp(a) Foundation Scientific Advisory Board, of various clinical trial and genetic study Steering and Analysis Committees, and is currently the Chair of METASTROKE (a collaboration of the International Stroke Genetics Consortium), as well as co-ordinating the MSc in Global Health Science Genetic Epidemiology module.
New method for non-invasive detection of coronary inflammation using computed tomography angiography predicts residual cardiovascular risk
OIKONOMOU E. et al, (2018), Lancet
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.
Oikonomou EK. et al, (2018), Lancet
Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer’s disease
Grace PC. et al, (2018), Scientific Reports
Plasma cytokines and risk of coronary heart disease in the PROCARDIS study
Clarke RJ. et al, (2018), Open Heart, 5, e000807 - e000807
Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.
Malik R. et al, (2018), Nature genetics