Professor Panos (Panagiotis) Deloukas

Director of the WHRI and Professor of Cardiovascular Genomics

Centre: Clinical Pharmacology and Precision Medicine

Email: p.deloukas@qmul.ac.uk
Telephone: +44(0) 20 7882 2103; +44 207 882 7098 (Jo Odetola - PA to Prof Panos Deloukas)

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Profile

Panos Deloukas obtained his BSc in Chemistry from the Aristotelian University of Thessaloniki, Greece and MSc in Microbiology from University Paris 7, France. He received his PhD from the Biozentrum University of Basel, Switzerland in 1991. He joined the Sanger Centre in 1994 where he set up a high-throughput pipeline for radiation hybrid mapping, leading an effort to map 30,000 gene markers, GeneMap98. Panos was an active member of the Human Genome Project coordinating the sequencing and analysis of chromosomes 10 and 20. After the completion of the HGP he joined the International HapMap project constructing SNP maps of the human genome. Since 2005 he is studying the molecular basis of common disease and variable response to drugs in humans through large-scale genetic studies. He joined the William Harvey Research Institute at Queen Mary University London in September 2013 working on the genomics of coronary artery disease and lipid levels. Panos is a member of many consortia including CARDIoGRAMplusC4D, Global Lipids Genetics Consortium, GIANT, the UK Biobank Cardiometabolic Consortium, and the Cardiovascular Genomics England Clinical Interpretation Partnership. He has authored over 400 publications (H-index 121) and is listed by Thomson Reuters among the 1% highly cited researchers in Molecular Biology & Genetics since 2012.

Memberships and awards

Executive member of the CARDIoGRAMplusC4D consortium
Member of the Steering Committee of the GIANT consortium
Member of the Steering Committee and Co-chair of the lipids working group of the UK CardioMetabolic Consortium
Member of the Cardiovascular GeCIP and lead of the functional subgroup since 2015

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Highly Cited Researchers - top 200 influential scientists in Molecular Biology & Genetics for the period 2002-2012
Highly Cited Researchers 2014, 2015 and 2016 (top 1% in Molecular Biology & Genetics)

Research

Group members

Dr Stavroula Kanoni (Statistical Geneticist); Dr Andrew Smith (BHF Research Fellow); Dr Stephane Bourgeois (Lab Manager and Analyst); Dr Ioanna Ntalla (Post-doctoral fellow, genetic analyses); Dr Eirini Marouli (Post-doctoral fellow, genetic analyses); Mrs Kawah Li (Technical Assistant); Ms Olga Giannakopoulou (BHF PhD student)

Summary

Our group investigates the molecular basis of complex traits in humans focusing on coronary heart disease (CHD) and related cardiometabolic traits.

CHD and its main complication, myocardial infarction (MI), is the leading cause of death worldwide. Through large scale trans-ethnic genetic studies we have identified thus far 70 loci robustly associated with CHD /MI risk and are currently undertaking further analyses in UK Biobank including gene-gene and gene-environment interactions. In parallel, we are investigating the genetic architecture of CHD risk factors such as lipid levels, blood pressure, haematological traits, and height through QTL analyses in large, well-phenotyped cohorts. To identify the functional variants underlying CHD risk we are integrating genetic findings with gene expression and DNA methylation QTL maps as well as open chromatin maps in relevant cell types.

Though age-standardized death rates from CHD are falling, the ageing of the population and the absence of effective therapeutic interventions/cures indicate that the burden of CHD will continue to increase. Among patients surviving a first MI event, circa 17% will experience a second event within 18 months. However, after five years the risk of an MI event is the same between MI patients and the general population. To identify biomarkers that will allow us to improve the stratification of MI patients for recurrent events we are assessing gene expression and DNA methylation in the blood. We hypothesise that such biomarkers may capture relevant environmental factors which in concert with genetic factors underscore bad prognosis. The ultimate goal is to develop a risk model for recurrent MI and test its clinical utility.

Publications

Hodgson S, Williamson A, Bigossi M et al. (2024). Genetic basis of early onset and progression of type 2 diabetes in South Asians.

DOI: 10.1038/s41591-024-03317-8

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101920
Hamilton F, Schurz H, Yates TA et al. (2024). Altered IL-6 signalling and risk of tuberculosis: a multi-ancestry mendelian randomisation study.

DOI: 10.1016/s2666-5247(24)00162-9

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/103475
Jacobs BM, Stow D, Hodgson S et al. . Genetic architecture of routinely acquired blood tests in a British South Asian cohort.

DOI: 10.1038/s41467-024-53091-x

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100687
Shore CJ, Villicaña S, Moustafa JSE-S et al. (2024). Genetic effects on the skin methylome in healthy older twins.

DOI: 10.1016/j.ajhg.2024.07.010

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100548
Gomez EA, De Matteis R, Udomjarumanee P et al. (2024). An LGR6 frameshift variant abrogates receptor expression on select leukocyte subsets and is associated with viral infections.

DOI: 10.1182/blood.2023021826

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/98892
Papadopoulou A, Harding D, Slabaugh G et al. (2024). Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank.

DOI: 10.1016/j.heliyon.2024.e28034

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95921
Babajide O, Kjaergaard AD, Deng W et al. . The role of thyroid function in borderline personality disorder and schizophrenia: a Mendelian Randomisation study.

DOI: 10.1186/s40479-024-00246-3

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95724
Slabaugh G, Beltran L, Rizvi H et al. . Applications of machine and deep learning to thyroid cytology and histopathology: a review.

DOI: 10.3389/fonc.2023.958310

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/94545
Papadopoulou A, Åsvold BO, Burgess S et al. (2023). Height, Autoimmune Thyroid Disease, and Thyroid Cancer: A Mendelian Randomization Study.

DOI: 10.1089/thy.2023.0272

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93832
Quaye LNK, Dalzell CE, Deloukas P et al. . The Genetics of Coronary Artery Disease: A Vascular Perspective.

DOI: 10.3390/cells12182232

QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95715

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