Associate Professor Jemma Hopewell
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- Genetic epidemiology of Lp(a), kidney function and vascular disease Research Group
- Using population biobanks and pharmacogenomics to enhance clinical trial design Research Group
- Investigating genetic and non-genetic determinants of heart rhythm Research Group
- Genetic determinants of chronic kidney disease and vascular risk Research Group
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
Jemma is a senior scientist leading a genetic epidemiology and statistics team in a programme of research focusing on pharmacogenomics, cardiovascular genetic epidemiology, and clinical trial-based studies. She has particular interests in determining predictors of patient response to cardiovascular therapies such as statins, using genetics to improve our understanding of drug targets and disease mechanisms, and genomic characterisation of risk factors for vascular disease such as Lp(a). Her research involves CTSU's vascular mega-trials, large-scale biobank studies, and international consortia, for which she also serves on various Steering and Analysis Committees. In addition, she leads the Genetic Epidemiology module for the MSc in Global Health Science.
No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis.
Loley C. et al, (2016), Sci Rep, 6, 35278 - 35278
Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration.
Malik R. et al, (2016), Neurology, 86, 1217 - 1226
Causal Assessment of Serum Urate Levels in Cardiometabolic Diseases Through a Mendelian Randomization Study.
Keenan T. et al, (2016), J Am Coll Cardiol, 67, 407 - 416
Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2.
Cheng YC. et al, (2016), Stroke, 47, 307 - 316
Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation.
Kato N. et al, (2015), Nat Genet, 47, 1282 - 1293