Imperial College London


Faculty of MedicineSchool of Public Health

Reader in Cardiometabolic Disease Epidemiology



+44 (0)20 7594 3347a.dehghan CV




157Norfolk PlaceSt Mary's Campus





 Abbas Dehghan MD PhD FESCis a medical doctor and an epidemiologist. He studied Epidemiology at Netherlands Institute for Health Sciences (NIHES) and worked with the Rotterdam Study at the department of epidemiology, Erasmus Medical Center, the Netherlands for more than 10 years. In 2016, he joined the Department of Epidemiology and Biostatistics at Imperial College London as a reader in cardiometabolic disorders.

 Dr Dehghan is a member of the steering committee of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and has led or been involved in many genome-wide association (GWAS) studies. He has been co-PI of COMBI-BIO, an FP7 EU funded project on the metabolomics of atherosclerosis.

 Dr Dehghan is working on the genetics of omics, in particular metabolomics, and applying Mendelian Randomisation approach to investigate causal determinants of complex traits and diseases including cardiometabolic disorders, dementia and cancers.

Since January 2020, Dr Dehghan is the director of postgraduate research at the school of public health.



Mazidi M, Dehghan A, Mikhailidis D, et al., 2021, The Association between Coffee and Caffeine Consumption and Renal Function: Insight from Individual-Level Data, Mendelian Randomization, and Meta-Analysis, Archives of Medical Science, ISSN:1734-1922

Al-Jafar R, Elliott P, Tsilidis KK, et al., 2021, London Ramadan Fasting Study (LORANS): Rationale, design, and methods

Portilla-Fernandez E, Hwang S-J, Wilson R, et al., 2021, Meta-analysis of epigenome-wide association studies of carotid intima-media thickness, European Journal of Epidemiology, Vol:36, ISSN:0393-2990, Pages:1143-1155

Garcia-Segura ME, Durainayagam BR, Liggi S, et al., 2021, Pathway-based integration of multi-omics data reveals lipidomics alterations validated in an Alzheimer’s Disease mouse model and risk loci carriers

Karabegović I, Dehghan A, Elliott P, et al., 2021, Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption, Nature Communications, Vol:12, ISSN:2041-1723

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