Pazoki
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. available phd projects: exploring artificial intelligence for precision medicine, focusing on the interplay between gene and environemnt cardiovascular diseases, including hypertension, myocardial infarction, heart failure, and stroke, remain the leading causes of mortality worldwide and their prevalence continues to rise. these conditions are influenced by a combination of modifiable (e.g., diet, physical inactivity, smoking) and non‑modifiable (e.g., age, sex, genetic background) risk factors. genetic variation, in particular, plays an important role in differentiating individuals at high and low risk, enabling more precise and targeted prevention strategies. as precision medicine advances, artificial intelligence (ai) and data‑driven approaches offer powerful tools for integrating genetic, environmental, and lifestyle information to better predict disease risk and improve population health outcomes.this umbrella project brings together a series of phd opportunities focused on applying ai‑enabled precision‑medicine approaches to understand how genetic and environmental factors, such as alcohol consumption, smoking, mental‑health‑related exposures, and other lifestyle variables, contribute to cardiovascular diseases. using data from the uk biobank comprising 500,000 participants, students will employ statistical and machine‑learning methods to conduct advanced analyses at scale. (genetic) epidemiology of cardiovascular diseases big data genome-wide association studies genetic risk scores mendelian randomization machine learning dr. raha pazoki’s research focuses on health data science with a strong emphasis on cardiometabolic and ageing-related diseases. her work integrates genomics, epidemiology, and artificial intelligence to uncover genetic and environmental determinants of conditions such as hypertension, diabetes, liver dysfunction, and cardiovascular disease. she was the first to identify 517 novel genetic loci linked to liver enzymes and demonstrated their causal role in heart disease. using mendelian randomization, she clarifies causal pathways between biomarkers (e.g., liver enzymes, lipid levels) and age-related conditions, improving understanding of how genetic predispositions interact with lifestyle factors like diet, alcohol, and physical activity. her studies also show that lifestyle interventions, such as exercise, can mitigate genetic risk, offering actionable insights for prevention and healthy ageing. the impact of her work spans clinical and societal domains. clinically, she advances precision medicine by integrating genetic risk scores with lifestyle and clinical data to enable personalized treatment strategies, particularly for ageing populations with complex health profiles. her research supports early detection of stroke, liver cirrhosis, and metabolic syndrome, and informs screening guidelines for at-risk individuals. societally, her findings guide public health campaigns promoting healthy behaviours tailored to genetic risk, reduce health inequities through inclusive genomic research, and leverage ai to predict health outcomes in ageing populations. by bridging big data with clinical practice, dr. pazoki’s work not only addresses global challenges in cardiometabolic and ageing diseases but also shapes the future of personalized medicine, prevention strategies, and wellbeing across diverse populations. scorll down this page for full detail of her research. dr paozki is a founder and director of the cardiovascular and metabolic research group hosting researchers and academics across brunel university with direct or indirect research interest involving cardiometabolic aetiology, prevention, and health. we work in various areas to identify causes of cardiometabolic diseases (environmental, lifestyle, molecular, and clinical) and provide insight into how they interplay. we use the information for better prevention of cardiometabolic diseases in the community. if you are a msc graduates (with upper second class degree or higher) in the relevant field to the above research area, please contact dr raha pazoki (raha.pazoki@brunel.ac.uk). postgraduate fees and funding | brunel university london or scholarships and bursaries | brunel university london and other funding | brunel university london selected list of publications by dr raha pazoki karkia, r., maccarthy, g., payne, a., karteris, e., pazoki, r., & chatterjee, j. (n.d.). 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), 751. doi:10.3390/jcm14030751 hezekiah, c., & pazoki, r. (2024). physical activity and favourable adiposity genetic liability reduce the risk of hypertension among high body mass individuals. doi:10.1101/2024.12.18.24319295 maccarthy, g., & 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), 1-20. doi:10.3390/jcm13102955 hezekiah, c., blakemore, a. i., bailey, d. p., & 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), 1-13. doi:10.1111/sms.14636 o’farrell, f., aleyakpo, b., mustafa, r., jiang, x., pinto, r. c., elliott, p., . . . pazoki, r. (2023). evidence for involvement of the alcohol consumption wdpcp gene in lipid metabolism, and liver cirrhosis. scientific reports, 13(1), 1-13. doi:10.1038/s41598-023-47371-7 hezekiah, c., blakemore, a. i., bailey, d. p., & pazoki, r. (2023). physical activity reduces the effect of adiposity genetic liability on hypertension risk in the uk biobank cohort. doi:10.1101/2023.09.22.23295992 roa-díaz, z. m., teuscher, j., gamba, m., bundo, m., grisotto, g., wehrli, f., . . . muka, t. (2022). gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials. bmc cardiovascular disorders, 22(1), 1-22. doi:10.1186/s12872-022-02808-1 o'farrell, f., jiang, x., aljifri, s., & pazoki, r. (2022). molecular alterations caused by alcohol consumption in the uk biobank: a mendelian randomisation study. nutrients, 14(14), 1-14. doi:10.3390/nu14142943 jiang, x., anasanti, m. d., drenos, f., blakemore, a. i., & pazoki, r. (2022). urinary sodium excretion enhances the effect of alcohol on blood pressure. healthcare, 10(7), 1-13. doi:10.3390/healthcare10071296 jiang, x., anasanti, m., drenos, f., blakemore, a., & pazoki, r. (2022). urinary sodium excretion enhances the effect of alcohol on blood pressure. doi:10.20944/preprints202205.0385.v1 said, s., pazoki, r., karhunen, v., võsa, u., ligthart, s., bodinier, b., . . . dehghan, a. (2022). genetic analysis of over half a million people characterises c-reactive protein loci. nature communications, 13(1), 1-10. doi:10.1038/s41467-022-29650-5 roa-díaz, z. m., asllanaj, e., amin, h. a., rojas, l. z., nano, j., ikram, m. a., . . . muka, t. (2021). age at natural menopause and blood pressure traits: mendelian randomization study. journal of clinical medicine, 10(19), 1-13. doi:10.3390/jcm10194299 jiang, x., gao, h., elliott, p., & pazoki, r. (2022). percentage of explained variance in alcohol consumption by genetic risk score in the uk biobank. in european journal of human genetics vol. 30 (pp. 528-529). online. doi:10.1038/s41431-021-01026-1 evangelou, e., suzuki, h., bai, w., pazoki, r., gao, h., matthews, p. m., & elliott, p. (2021). alcohol consumption in the general population is associated with structural changes in multiple organ systems. elife, 10. doi:10.7554/elife.65325 pazoki, r., vujkovic, m., elliott, j., evangelou, e., gill, d., mohsen, g., . . . elliott, p. (2021). genetic analysis in european ancestry individuals identifies 517 loci associated with liver enzymes. nature communications, 12, 1-12. doi:10.1038/s41467-021-22338-2 pazoki, r., lin, b. d., van eijk, k. r., schijven, d., de zwarte, s., guloksuz, s., & luykx, j. j. (2020). phenome-wide and genome-wide analyses of quality of life in schizophrenia. bjpsych open, 7(1), 1-7. doi:10.1192/bjo.2020.140 cabrera, c. p., pazoki, r., giri, a., hellwege, j. n., evangelou, e., ramirez, j., . . . warren, h. r. (2020). multi-trait genome-wide association analysis of blood pressure identifies 45 additional loci. in european journal of human genetics vol. 28 (pp. 105). virtual conference. doi:10.1038/s41431-020-00740-6 elliott, p., muller, d. c., schneider-luftman, d., pazoki, r., evangelou, e., dehghan, a., . . . tzoulaki, i. (2020). estimated 24-hour urinary sodium excretion and incident cardiovascular disease and mortality among 398628 individuals in uk biobank. hypertension, 76(3), 683-691. doi:10.1161/hypertensionaha.119.14302 robinson, o., chadeau hyam, m., karaman, i., climaco pinto, r., ala-korpela, m., handakas, e., . . . vineis, p. (2020). determinants of accelerated metabolomic and epigenetic aging in a uk cohort. aging cell, 19(6), 1-13. doi:10.1111/acel.13149 schmidt, a. f., holmes, m. v., preiss, d., swerdlow, d. i., denaxas, s., fatemifar, g., . . . dehghan, a. (2019). phenome-wide association analysis of ldl-cholesterol lowering genetic variants in pcsk9. bmc cardiovascular disorders, 19(1). doi:10.1186/s12872-019-1187-z pazoki, r., lin, b. d., van eijk, k. r., schijven, d., guloksuz, s., & luykx, j. j. (2019). phenome-wide and genome-wide analyses of quality of life in schizophrenia. biorxiv, preprint. doi:10.1101/744045 pazoki, r., evangelou, e., mosen-ansorena, d., pinto, r., karaman, i., blakeley, p., . . . dehghan, a. (2019). pathways underlying urinary sodium and potassium excretion and the link to blood pressure and cardiovascular disease. in journal of hypertension vol. 37 (pp. e74). ovid technologies (wolters kluwer health). doi:10.1097/01.hjh.0000571108.82708.c0 pazoki, r., evangelou, e., mosen-ansorena, d., pinto, r. c., karaman, i., blakeley, p., . . . dehghan, a. (2019). gwas for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits. nature communications, 10(1), 1-11. doi:10.1038/s41467-019-11451-y evangelou, e., gao, h., chu, c., ntritsos, g., blakeley, p., butts, a. r., . . . elliott, p. (2019). new alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. nature human behaviour, 3(9), 950-961. doi:10.1038/s41562-019-0653-z luykx, j., pazoki, r., lin, b., guloksuz, s., schijven, d., van eijk, k., & group collaborators. (2019). t168. phenome-wide and genome-wide analyses of quality of life in patients with psychosis. in biological psychiatry vol. 85 (pp. s194). elsevier bv. doi:10.1016/j.biopsych.2019.03.491 pazoki, r. (2019). cardiovascular disease, abo locus, and markers of platelet functionality. international journal of cardiology, 286(1 july 2019), 162-163. doi:10.1016/j.ijcard.2019.03.061 de vries, p. s., brown, m. r., bentley, a. r., sung, y. j., winkler, t. w., ntalla, i., . . . giulianini, f. (2019). multiancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. american journal of epidemiology, 188(6), 1033-1054. doi:10.1093/aje/kwz005 robinson, o., hyam, m. c., karaman, i., pinto, r. c., fiorito, g., gao, h., . . . vineis, p. (2018). determinants of accelerated metabolomic and epigenetic ageing in a uk cohort. biorxiv, preprint. doi:10.1101/411603 kilpeläinen, t. o., bentley, a. r., noordam, r., sung, y. j., schwander, k., winkler, t. w., . . . krieger, j. e. (2019). multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. nature communications, 10(1). doi:10.1038/s41467-018-08008-w ashar, f. n., mitchell, r. n., albert, c. m., newton-cheh, c., brody, j. a., müller-nurasyid, m., . . . sotoodehnia, n. (2018). a comprehensive evaluation of the genetic architecture of sudden cardiac arrest. european heart journal, 39(44), 3961-3969. doi:10.1093/eurheartj/ehy474 evangelou, e., warren, h. r., mosen-ansorena, d., mifsud, b., pazoki, r., gao, h., . . . gandin, i. (2018). genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. nature genetics, 50(10), 1412-1425. doi:10.1038/s41588-018-0205-x davies, g., lam, m., harris, s. e., trampush, j. w., luciano, m., hill, w. d., . . . kleineidam, l. (2018). study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. nature communications, 9(1). doi:10.1038/s41467-018-04362-x pazoki, r., dehghan, a., evangelou, e., warren, h., gao, h., caulfield, m., . . . tzoulaki, i. (2018). genetic predisposition to high blood pressure and lifestyle factors: associations with midlife blood pressure levels and cardiovascular events. in circulation vol. 137 (pp. 653-661). doi:10.1161/circulationaha.117.030898 pazoki, r. (2018). methods for polygenic traits. international journal of cardiology, 1793, 145-156. doi:10.1007/978-1-4939-7868-7_10 code and academic year title level credits % teaching contribution bb3711-2022/3 introduction to epidemiology and disease prevention (block leading and delivery) 6 20 95 bb3711-2023/4 introduction to epidemiology and disease prevention (block leading and delivery) 6 20 100 bb3711-2024/5 introduction to epidemiology and disease prevention (block leading and delivery) 6 20 100 bb3804-2023/4 synoptic examinations 3 (leading and marking) 6 20 75 bb3804-2024/5 synoptic examinations 3 (leading and marking) 6 20 75 bb3804-2021/22 synoptic examination 3 (marking, cross moderating) 6 20 5 bb1719-2021/22 introduction to data analysis (leading, delivering, marking) 4 20 90 bb3091-2021/22 final year project (leading, delivering, marking) 6 40 50 bb3091-2022/23 final year project (support of leading, marking, delivering, supervision) 6 40 20 bb3091-2023/24 final year project (marking, delivering, supervision) 6 40 6 bb3091-2024/25 final year project (marking, delivering, supervision) 6 40 6 bb3803-2022/23 biomedical sciences examinations 3 (marking, question design) 6 20 20 bb3803-2023/24 biomedical sciences examinations 3 (marking, question design) 6 20 20 bb3803-2024/25 biomedical sciences examinations 3 (marking, question design) 6 20 20 bb1804-2023/24 practical skills 3: molecular analysis (marking) 4 20 20 bb1804-2022/23 practical skills 3: molecular analysis (marking) 4 20 20 bb2710-2021/22 analytical biochemistry (moderation) 5 20 3 bb2709-2021/22 genetics, genomics and human health 5 20 15 bb2709-2024/5 genetics, genomics and human health 5 20 15 bb3801-2022/3 scientific communication -essay (coursework design & delivery, marking) 6 20 20 bb3801-2023/4 scientific communication -essay (coursework design & delivery, marking) 6 20 20 bb3801-2024/5 scientific communication -essay (coursework design & delivery, marking) 6 20 20 bb2801-2021/22 career skills 5 20 5 bb2555-2022/23 placement 5 20 5 bb2555-2023/24 placement 5 20 5 bb2555-2021/22 placement 5 20 5 bb1801a-2023/24 research and communication skills - presentation 4 20 3 bb1801a-2024/25 research and communication skills - presentation 4 20 3 bb1801c-2023/24 research and communication skills - portfolio 4 20 3 bb1806-2023/24 synoptic examination 1 (marking) 4 20 3 bb1806-2022/23 synoptic examination 1 (marking) 4 20 3 bb2802-2021/22 primary literature interrogation and synthesis (supervision, marking) 5 20 3 bb2802-2022/23 primary literature interrogation and synthesis (supervision, marking) 5 20 3 bb2802-2023/24 primary literature interrogation and synthesis (supervision, marking) 5 20 3 bb2804-2023/24 data analysis, interpretation and presentation (poster, marking) 5 20 3 bb2804-2021/22 data analysis, interpretation and presentation (poster, marking) 5 20 3 bb2805-2021/22 biomedical sciences examinations 2 (moderation) 5 20 3 bb2805-2022/23 biomedical sciences examinations 2 (moderation) 5 20 3 bb2805-2023/24 biomedical sciences examinations 2 (moderation) 5 20 3 bb3801-2021/22 scientific communication – presentation (marking) 6 20 3 bb3801b (term 1)-2022/23 scientific communication – presentation (marking) 6 20 3 bb3801b (term 1)-2023/24 scientific communication – presentation (marking) 6 20 3 bb3802b (term 2)-2023/24 problem solving and data analysis – reflection (marking) 6 20 3 bb3802b (term 2)-2022/23 problem solving and data analysis – reflection (marking) 6 20 3 bb1801a-2022/23 research and communication skills - presentation 4 20 3 bb1801-2021/22 research and communication skills - presentation 4 20 3 pgt modules: code and academic year title credits core/option (c/o) module leader (y/n) % teaching contribution (excluding pgt dissertation supervision) bb5716-2024/2025 vaccines and treatment for infection and inflammation 7 20 n 10 bb5716-2023/2024 vaccines and treatment for infection and inflammation 7 20 n 10 bb5713-2022/2023 radiation, toxicology and pollution 7 20 n 10 bb5713-2021/2022 radiation, toxicology and pollution 7 20 n 10 bb5804-2024/25 scientific communication 7 20 n 10 bb5804-2021/22 scientific communication 7 20 n 10 pgt dissertation supervision: code and academic year title number primary supervisions number of secondary supervisions 2024/25-bb5604 mendelian randomisation study of lipid levels on alcohol consumption using mr-base 1 0 2022/23-bb5604 genetic risk score of alcohol consumption and risk of type 2 diabetes 1 0
Dr Raha Pazoki
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. Available PhD projects: Exploring artificial Intelligence for precision medicine, focusing on the interplay between gene and environemnt Cardiovascular diseases, including hypertension, myocardial infarction, heart failure, and stroke, remain the leading causes of mortality worldwide and their prevalence continues to rise. These conditions are influenced by a combination of modifiable (e.g., diet, physical inactivity, smoking) and non‑modifiable (e.g., age, sex, genetic background) risk factors. Genetic variation, in particular, plays an important role in differentiating individuals at high and low risk, enabling more precise and targeted prevention strategies. As precision medicine advances, artificial intelligence (AI) and data‑driven approaches offer powerful tools for integrating genetic, environmental, and lifestyle information to better predict disease risk and improve population health outcomes.This umbrella project brings together a series of PhD opportunities focused on applying AI‑enabled precision‑medicine approaches to understand how genetic and environmental factors, such as alcohol consumption, smoking, mental‑health‑related exposures, and other lifestyle variables, contribute to cardiovascular diseases. Using data from the UK Biobank comprising 500,000 participants, students will employ statistical and machine‑learning methods to conduct advanced analyses at scale. (Genetic) Epidemiology of Cardiovascular Diseases Big Data Genome-wide Association Studies Genetic risk scores Mendelian Randomization Machine Learning Dr. Raha Pazoki’s research focuses on health data science with a strong emphasis on cardiometabolic and ageing-related diseases. Her work integrates genomics, epidemiology, and artificial intelligence to uncover genetic and environmental determinants of conditions such as hypertension, diabetes, liver dysfunction, and cardiovascular disease. She was the first to identify 517 novel genetic loci linked to liver enzymes and demonstrated their causal role in heart disease. Using Mendelian randomization, she clarifies causal pathways between biomarkers (e.g., liver enzymes, lipid levels) and age-related conditions, improving understanding of how genetic predispositions interact with lifestyle factors like diet, alcohol, and physical activity. Her studies also show that lifestyle interventions, such as exercise, can mitigate genetic risk, offering actionable insights for prevention and healthy ageing. The impact of her work spans clinical and societal domains. Clinically, she advances precision medicine by integrating genetic risk scores with lifestyle and clinical data to enable personalized treatment strategies, particularly for ageing populations with complex health profiles. Her research supports early detection of stroke, liver cirrhosis, and metabolic syndrome, and informs screening guidelines for at-risk individuals. Societally, her findings guide public health campaigns promoting healthy behaviours tailored to genetic risk, reduce health inequities through inclusive genomic research, and leverage AI to predict health outcomes in ageing populations. By bridging big data with clinical practice, Dr. Pazoki’s work not only addresses global challenges in cardiometabolic and ageing diseases but also shapes the future of personalized medicine, prevention strategies, and wellbeing across diverse populations. Scorll down this page for full detail of her research. Dr Paozki is a founder and director of the Cardiovascular and Metabolic Research Group hosting researchers and academics across Brunel university with direct or indirect research interest involving cardiometabolic aetiology, prevention, and health. We work in various areas to identify causes of cardiometabolic diseases (environmental, lifestyle, molecular, and clinical) and provide insight into how they interplay. We use the information for better prevention of cardiometabolic diseases in the community. If you are a MSc graduates (with upper second class degree or higher) in the relevant field to the above research area, please contact Dr Raha Pazoki (raha.pazoki@brunel.ac.uk). Postgraduate fees and funding | Brunel University London or Scholarships and Bursaries | Brunel University London and Other funding | Brunel University London Selected list of publications by Dr Raha Pazoki Karkia, R., Maccarthy, G., Payne, A., Karteris, E., Pazoki, R., & Chatterjee, J. (n.d.). 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), 751. doi:10.3390/jcm14030751 Hezekiah, C., & Pazoki, R. (2024). Physical activity and favourable adiposity genetic liability reduce the risk of hypertension among high body mass individuals. doi:10.1101/2024.12.18.24319295 MacCarthy, G., & 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), 1-20. doi:10.3390/jcm13102955 Hezekiah, C., Blakemore, A. I., Bailey, D. P., & 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), 1-13. doi:10.1111/sms.14636 O’Farrell, F., Aleyakpo, B., Mustafa, R., Jiang, X., Pinto, R. C., Elliott, P., . . . Pazoki, R. (2023). Evidence for involvement of the alcohol consumption WDPCP gene in lipid metabolism, and liver cirrhosis. Scientific Reports, 13(1), 1-13. doi:10.1038/s41598-023-47371-7 Hezekiah, C., Blakemore, A. I., Bailey, D. P., & Pazoki, R. (2023). Physical activity reduces the effect of adiposity genetic liability on hypertension risk in the UK Biobank cohort. doi:10.1101/2023.09.22.23295992 Roa-Díaz, Z. M., Teuscher, J., Gamba, M., Bundo, M., Grisotto, G., Wehrli, F., . . . Muka, T. (2022). Gene-diet interactions and cardiovascular diseases: a systematic review of observational and clinical trials. BMC Cardiovascular Disorders, 22(1), 1-22. doi:10.1186/s12872-022-02808-1 O'Farrell, F., Jiang, X., Aljifri, S., & Pazoki, R. (2022). Molecular Alterations Caused by Alcohol Consumption in the UK Biobank: A Mendelian Randomisation Study. Nutrients, 14(14), 1-14. doi:10.3390/nu14142943 Jiang, X., Anasanti, M. D., Drenos, F., Blakemore, A. I., & Pazoki, R. (2022). Urinary Sodium Excretion Enhances the Effect of Alcohol on Blood Pressure. Healthcare, 10(7), 1-13. doi:10.3390/healthcare10071296 Jiang, X., Anasanti, M., Drenos, F., Blakemore, A., & Pazoki, R. (2022). Urinary Sodium Excretion Enhances the Effect of Alcohol on Blood Pressure. doi:10.20944/preprints202205.0385.v1 Said, S., Pazoki, R., Karhunen, V., Võsa, U., Ligthart, S., Bodinier, B., . . . Dehghan, A. (2022). Genetic analysis of over half a million people characterises C-reactive protein loci. Nature Communications, 13(1), 1-10. doi:10.1038/s41467-022-29650-5 Roa-Díaz, Z. M., Asllanaj, E., Amin, H. A., Rojas, L. Z., Nano, J., Ikram, M. A., . . . Muka, T. (2021). Age at natural menopause and blood pressure traits: Mendelian randomization study. Journal of Clinical Medicine, 10(19), 1-13. doi:10.3390/jcm10194299 Jiang, X., Gao, H., Elliott, P., & Pazoki, R. (2022). Percentage of explained variance in alcohol consumption by genetic risk score in the UK Biobank. In EUROPEAN JOURNAL OF HUMAN GENETICS Vol. 30 (pp. 528-529). Online. doi:10.1038/s41431-021-01026-1 Evangelou, E., Suzuki, H., Bai, W., Pazoki, R., Gao, H., Matthews, P. M., & Elliott, P. (2021). Alcohol consumption in the general population is associated with structural changes in multiple organ systems. eLife, 10. doi:10.7554/eLife.65325 Pazoki, R., Vujkovic, M., Elliott, J., Evangelou, E., Gill, D., Mohsen, G., . . . elliott, P. (2021). Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes. Nature Communications, 12, 1-12. doi:10.1038/s41467-021-22338-2 Pazoki, R., Lin, B. D., van Eijk, K. R., Schijven, D., de Zwarte, S., Guloksuz, S., & Luykx, J. J. (2020). Phenome-wide and genome-wide analyses of quality of life in schizophrenia. BJPsych Open, 7(1), 1-7. doi:10.1192/bjo.2020.140 Cabrera, C. P., Pazoki, R., Giri, A., Hellwege, J. N., Evangelou, E., Ramirez, J., . . . Warren, H. R. (2020). Multi-trait genome-wide association analysis of blood pressure identifies 45 additional loci. In EUROPEAN JOURNAL OF HUMAN GENETICS Vol. 28 (pp. 105). Virtual Conference. doi:10.1038/s41431-020-00740-6 Elliott, P., Muller, D. C., Schneider-Luftman, D., Pazoki, R., Evangelou, E., Dehghan, A., . . . Tzoulaki, I. (2020). Estimated 24-Hour Urinary Sodium Excretion and Incident Cardiovascular Disease and Mortality among 398628 Individuals in UK Biobank. Hypertension, 76(3), 683-691. doi:10.1161/HYPERTENSIONAHA.119.14302 Robinson, O., Chadeau Hyam, M., Karaman, I., Climaco Pinto, R., Ala-Korpela, M., Handakas, E., . . . Vineis, P. (2020). 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International journal of cardiology, 1793, 145-156. doi:10.1007/978-1-4939-7868-7_10 Code and Academic Year Title Level Credits % teaching contribution BB3711-2022/3 Introduction to Epidemiology and Disease Prevention (Block leading and delivery) 6 20 95 BB3711-2023/4 Introduction to Epidemiology and Disease Prevention (Block leading and delivery) 6 20 100 BB3711-2024/5 Introduction to Epidemiology and Disease Prevention (Block leading and delivery) 6 20 100 BB3804-2023/4 Synoptic Examinations 3 (Leading and marking) 6 20 75 BB3804-2024/5 Synoptic Examinations 3 (Leading and marking) 6 20 75 BB3804-2021/22 Synoptic Examination 3 (marking, cross moderating) 6 20 5 BB1719-2021/22 Introduction to Data Analysis (Leading, delivering, marking) 4 20 90 BB3091-2021/22 Final Year Project (Leading, delivering, marking) 6 40 50 BB3091-2022/23 Final Year Project (support of leading, marking, delivering, supervision) 6 40 20 BB3091-2023/24 Final Year Project (marking, delivering, supervision) 6 40 6 BB3091-2024/25 Final Year Project (marking, delivering, supervision) 6 40 6 BB3803-2022/23 Biomedical Sciences Examinations 3 (marking, question design) 6 20 20 BB3803-2023/24 Biomedical Sciences Examinations 3 (marking, question design) 6 20 20 BB3803-2024/25 Biomedical Sciences Examinations 3 (marking, question design) 6 20 20 BB1804-2023/24 Practical Skills 3: Molecular Analysis (marking) 4 20 20 BB1804-2022/23 Practical Skills 3: Molecular Analysis (marking) 4 20 20 BB2710-2021/22 Analytical Biochemistry (moderation) 5 20 3 BB2709-2021/22 Genetics, Genomics and Human Health 5 20 15 BB2709-2024/5 Genetics, Genomics and Human Health 5 20 15 BB3801-2022/3 Scientific Communication -Essay (Coursework design & delivery, marking) 6 20 20 BB3801-2023/4 Scientific Communication -Essay (Coursework design & delivery, marking) 6 20 20 BB3801-2024/5 Scientific Communication -Essay (Coursework design & delivery, marking) 6 20 20 BB2801-2021/22 Career Skills 5 20 5 BB2555-2022/23 Placement 5 20 5 BB2555-2023/24 Placement 5 20 5 BB2555-2021/22 Placement 5 20 5 BB1801a-2023/24 Research and Communication Skills - Presentation 4 20 3 BB1801a-2024/25 Research and Communication Skills - Presentation 4 20 3 BB1801c-2023/24 Research and Communication Skills - Portfolio 4 20 3 BB1806-2023/24 Synoptic Examination 1 (marking) 4 20 3 BB1806-2022/23 Synoptic Examination 1 (marking) 4 20 3 BB2802-2021/22 Primary Literature Interrogation and Synthesis (supervision, marking) 5 20 3 BB2802-2022/23 Primary Literature Interrogation and Synthesis (supervision, marking) 5 20 3 BB2802-2023/24 Primary Literature Interrogation and Synthesis (supervision, marking) 5 20 3 BB2804-2023/24 Data Analysis, Interpretation and Presentation (poster, marking) 5 20 3 BB2804-2021/22 Data Analysis, Interpretation and Presentation (poster, marking) 5 20 3 BB2805-2021/22 Biomedical Sciences Examinations 2 (moderation) 5 20 3 BB2805-2022/23 Biomedical Sciences Examinations 2 (moderation) 5 20 3 BB2805-2023/24 Biomedical Sciences Examinations 2 (moderation) 5 20 3 BB3801-2021/22 Scientific Communication – Presentation (marking) 6 20 3 BB3801b (term 1)-2022/23 Scientific Communication – Presentation (marking) 6 20 3 BB3801b (term 1)-2023/24 Scientific Communication – Presentation (marking) 6 20 3 BB3802b (term 2)-2023/24 Problem Solving and Data Analysis – Reflection (marking) 6 20 3 BB3802b (term 2)-2022/23 Problem Solving and Data Analysis – Reflection (marking) 6 20 3 BB1801a-2022/23 Research and Communication Skills - Presentation 4 20 3 BB1801-2021/22 Research and Communication Skills - Presentation 4 20 3 PGT Modules: Code and Academic Year Title Credits Core/Option (C/O) Module leader (Y/N) % teaching Contribution (excluding PGT dissertation supervision) BB5716-2024/2025 Vaccines and Treatment for Infection and Inflammation 7 20 N 10 BB5716-2023/2024 Vaccines and Treatment for Infection and Inflammation 7 20 N 10 BB5713-2022/2023 Radiation, Toxicology and Pollution 7 20 N 10 BB5713-2021/2022 Radiation, Toxicology and Pollution 7 20 N 10 BB5804-2024/25 Scientific Communication 7 20 N 10 BB5804-2021/22 Scientific Communication 7 20 N 10 PGT Dissertation Supervision: Code and Academic Year Title Number Primary supervisions Number of Secondary supervisions 2024/25-BB5604 Mendelian Randomisation study of lipid levels on alcohol consumption using MR-Base 1 0 2022/23-BB5604 Genetic Risk score of Alcohol Consumption and Risk of Type 2 Diabetes 1 0