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 FESC is a medical doctor and an epidemiologist. His main research interest is molecular determinants of complex disorders; mainly cardiovascular diseases and type 2 diabetes. He 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 in cardiovascular diseases and its risk factors. He has been collaborating with Professor Paul Elliott on a FP7 project, COMBI-BIO, to investigate metabolomics signatures of coronary artery calcification and he has joined the department of epidemiology and biostatistics at Imperial College London since September 2016 as a reader in cardiometabolic disorders. He is aiming to continue working in this field and his ambition is to integrate different omics namely genomics, epigenomics and metabolomics to unravel pathways involved in complex disorders. 



Greene T, Chen T, Chalmers J, et al., 2019, Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium, American Journal of Kidney Diseases, Vol:73, ISSN:0272-6386, Pages:206-217

Sabater-Lleal M, Huffman JE, de Vries PS, et al., 2019, Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels., Circulation, Vol:139, Pages:620-635

Franceschini N, Giambartolomei C, de Vries PS, et al., 2018, GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes., Nat Commun, Vol:9

't Hart LM, Vogelzangs N, Mook-Kanamori DO, et al., 2018, Blood Metabolomic Measures Associate With Present and Future Glycemic Control in Type 2 Diabetes., J Clin Endocrinol Metab, Vol:103, Pages:4569-4579

Iotchkova V, Huang J, Morris JA, et al., 2018, Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps (vol 48, pg 1303, 2016), Nature Genetics, Vol:50, ISSN:1061-4036, Pages:1752-1752

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