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Jemma Hopewell

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Jemma Hopewell

Associate Professor & Senior Scientist, Genetic Epidemiology and Clinical Trials, University of Oxford

Email: jemma.hopewell@ndph.ox.ac.uk
Phone: +44 (0)1865 743661

Dr. Jemma Hopewell leads a team of genetic epidemiologists, clinical fellows, medical statisticians and bioinformaticians 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.

Recent Publications

  • Oster, J, Hopewell, JC, Ziberna, K, Wijesurendra, R, Camm, CF, Casadei, B et al.. Identification of patients with atrial fibrillation: a big data exploratory analysis of the UK Biobank. Physiol Meas. 2020;41 (2):025001. doi: 10.1088/1361-6579/ab6f9a. PubMed PMID:31978903 .
  • Georgakis, MK, Malik, R, Anderson, CD, Parhofer, KG, Hopewell, JC, Dichgans, M et al.. Genetic determinants of blood lipids and cerebral small vessel disease: role of high-density lipoprotein cholesterol. Brain. 2020;143 (2):597-610. doi: 10.1093/brain/awz413. PubMed PMID:31968102 PubMed Central PMC7009571.
  • Schmidt, AF, Holmes, MV, Preiss, D, Swerdlow, DI, Denaxas, S, Fatemifar, G et al.. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovasc Disord. 2019;19 (1):240. doi: 10.1186/s12872-019-1187-z. PubMed PMID:31664920 PubMed Central PMC6820948.
  • Doehner, W, Mazighi, M, Hofmann, BM, Lautsch, D, Hindricks, G, Bohula, EA et al.. Cardiovascular care of patients with stroke and high risk of stroke: The need for interdisciplinary action: A consensus report from the European Society of Cardiology Cardiovascular Round Table. Eur J Prev Cardiol. 2020;27 (7):682-692. doi: 10.1177/2047487319873460. PubMed PMID:31569966 PubMed Central PMC7227126.
  • Oikonomou, EK, Williams, MC, Kotanidis, CP, Desai, MY, Marwan, M, Antonopoulos, AS et al.. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography. Eur. Heart J. 2019;40 (43):3529-3543. doi: 10.1093/eurheartj/ehz592. PubMed PMID:31504423 PubMed Central PMC6855141.
  • Haynes, R, Valdes-Marquez, E, Hopewell, JC, Chen, F, Li, J, Parish, S et al.. Serious Adverse Effects of Extended-release Niacin/Laropiprant: Results From the Heart Protection Study 2-Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2-THRIVE) Trial. Clin Ther. 2019;41 (9):1767-1777. doi: 10.1016/j.clinthera.2019.06.012. PubMed PMID:31447131 .
  • Magosi, LE, Goel, A, Hopewell, JC, Farrall, M. Identifying small-effect genetic associations overlooked by the conventional fixed-effect model in a large-scale meta-analysis of coronary artery disease. Bioinformatics. 2020;36 (2):552-557. doi: 10.1093/bioinformatics/btz590. PubMed PMID:31350884 PubMed Central PMC7223261.
  • Hopewell, JC, Ibrahim, M, Hill, M, Shaw, PM, Braunwald, E, Blaustein, RO et al.. Impact of ADCY9 Genotype on Response to Anacetrapib. Circulation. 2019; :. doi: 10.1161/CIRCULATIONAHA.119.041546. PubMed PMID:31331193 PubMed Central PMC6749971.
  • Malik, R, Chauhan, G, Traylor, M, Sargurupremraj, M, Okada, Y, Mishra, A et al.. Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat. Genet. 2019;51 (7):1192-1193. doi: 10.1038/s41588-019-0449-0. PubMed PMID:31160810 .
  • Safarova, MS, Fan, X, Austin, EE, van Zuydam, N, Hopewell, J, Schaid, DJ et al.. Targeted Sequencing Study to Uncover Shared Genetic Susceptibility Between Peripheral Artery Disease and Coronary Heart Disease-Brief Report. Arterioscler. Thromb. Vasc. Biol. 2019;39 (6):1227-1233. doi: 10.1161/ATVBAHA.118.312128. PubMed PMID:31070467 PubMed Central PMC6531315.
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