Imperial College London

DrAbbasDehghan

Faculty of MedicineSchool of Public Health

Reader in Cardiometabolic Disease Epidemiology
 
 
 
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Contact

 

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

 
 
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Location

 

157Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

 

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. 



Publications

Journals

Palaniswamy S, Gill D, De Silva NM, et al., 2020, Could vitamin D reduce obesity-associated inflammation? Observational and Mendelian randomization study., Am J Clin Nutr

Nazarzadeh M, Pinho-Gomes A-C, Bidel Z, et al., Plasma lipids and risk of aortic valve stenosis: a Mendelian randomization study, European Heart Journal, ISSN:0195-668X

Pazoki R, Evangelou E, Mosen-Ansorena D, et al., 2019, GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits, Nature Communications, Vol:10, ISSN:2041-1723

Gill D, Benyamin B, Moore LSP, et al., 2019, Associations of genetically determined iron status across the phenome: a mendelian randomization study, Plos Medicine, Vol:16, ISSN:1549-1277

Liu J, Carnero-Montoro E, van Dongen J, et al., 2019, An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis, Nature Communications, Vol:10, ISSN:2041-1723

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