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.
Assessement of Vascular Event Prevention and Cognitive Function Among Older Adults With Preexisting Vascular Disease or Diabetes: A Secondary Analysis of 3 Randomized Clinical Trials.
Offer A. et al, (2019), JAMA Netw Open, 2
Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.
Chauhan G. et al, (2019), Neurology
Genetically Determined Levels of Circulating Cytokines and Risk of Stroke.
Georgakis MK. et al, (2019), Circulation, 139, 256 - 268
GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.
Franceschini N. et al, (2018), Nat Commun, 9
Genome-Wide Meta-analysis identifies three novel loci associated with stroke.
Malik R. et al, (2018), Ann Neurol