
Dr Raha Pazoki
Senior Lecturer in Biomedical Sciences
Summary
Raha Pazok MD PhD FHEA is a medical doctor and an epidemiologist. She studied Epidemiology at the Netherlands Institute for Health Sciences (NIHES) and in the University of Amsterdam. She worked with various cohort and case control studies such as the Arrhythmia Genetics in the Netherlands (AGNES), the Rotterdam Study, the Airwave Health Monitoring Study and the UK Bio bank. In 2016, she joined the Department of Epidemiology and Bio-statistics at Imperial College London as a Research Associate. In 2020, she started a Teaching & Research academic position at Brunel University London.
Dr Pazoki specializes in the field of health data research, with a primary focus on the epidemiology of cardiometabolic diseases. She holds a particular interest in exploring causal inference and precision medicine by leveraging genomics and extensive health data sets with sample sizes exceeding 500,000 individuals. Her expertise spans various domains, including precision medicine, global health, interventions, and the application of artificial intelligence for predicting health outcomes.
She harbors a keen interest in identification of the relationship between circulating molecules and biomarkers, nutrition, lifestyle choices, genetic factors, and their collective contribution to the modulation of health risk factors and outcomes.
She was the first to identify 517 novel genetic loci associated with liver enzymes and the first to show the causal effect of liver dysfunction on cardiovascular diseases. In addition, she is the first to show the effect of the alcohol consumption WDPCP gene in lipid metabolism, and liver cirrhosis.
Newest selected publications
Karkia, R., Maccarthy, G., Payne, A., Karteris, E., Pazoki, R. and Chatterjee, J. (2025) 'The Association Between Metabolic Syndrome and the Risk of Endometrial Cancer in Pre- and Post-Menopausal Women: A UK Biobank Study'. Journal of Clinical Medicine, 14 (3). pp. 1 - 15. ISSN: 2077-0383
MacCarthy, G. and Pazoki, R. (2024) 'Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank'. Journal of Clinical Medicine, 13 (10). pp. 1 - 20. ISSN: 2077-0383
Hezekiah, C., Blakemore, AI., Bailey, DP. and Pazoki, R. (2024) 'Physical activity alters the effect of genetic determinants of adiposity on hypertension among individuals of European ancestry in the UKB'. Scandinavian Journal of Medicine and Science in Sports, 34 (5). pp. 1 - 13. ISSN: 0905-7188
O’Farrell, F., Aleyakpo, B., Mustafa, R., Jiang, X., Pinto, RC., Elliott, P., (2023) 'Evidence for involvement of the alcohol consumption WDPCP gene in lipid metabolism, and liver cirrhosis'. Scientific Reports, 13 (1). pp. 1 - 13. ISSN: 2045-2322
et al.Roa-Díaz, ZM., Teuscher, J., Gamba, M., Bundo, M., Grisotto, G., Wehrli, F., (2022) 'Gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials'. BMC Cardiovascular Disorders, 22 (1). pp. 1 - 22. ISSN: 1471-2261
et al.