Professor David Van Heel

Profile

David Van Heel is a Professor of Genetics at Queen Mary University of London, Honorary Consultant Physician at Barts Health NHS Trust. He trained in clinical research with a Medical Research Council Clinical Training Fellowship and a Wellcome Trust Clinician Scientist Fellowship.

Prof. Van Heel's current research interests are population genomic medicine of British Bangladeshi and British Pakistani communities, with genetics, NHS health data and recall for further studies based on genotype/phenotype. David is the Chief Investigator for the Genes & Health longitudinal population study: www.genesandhealth.org

Prof. Van Heel is a member of the Medical Research Council Population and Systems Medicine Board (2016-2022), and was deputy Chief Clinical Information Officer for Barts Health NHS Trust (2013-2024).

Research

Publications

• Spreckley M, Raza M, Islam K et al. (2024). Advancing health and fostering community involvement in medical research through the Genes & Health study. nameOfConference

  
  

  DOI: 10.1016/j.tem.2024.11.002

  
  

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

  
  

  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. nameOfConference

  
  

  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. (publicationYear). Genetic architecture of routinely acquired blood tests in a British South Asian cohort. nameOfConference

  
  

  DOI: 10.1038/s41467-024-53091-x

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100687
• 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. nameOfConference

  
  

  DOI: 10.1182/blood.2023021826

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/98892
• Monti R, Eick L, Hudjashov G et al. (2024). Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning. nameOfConference

  
  

  DOI: 10.1016/j.ajhg.2024.06.003

  
  

  QMRO: qmroHref
• Jermy B, Läll K, Wolford BN et al. (publicationYear). A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk. nameOfConference

  
  

  DOI: 10.1038/s41467-024-48938-2

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100470
• Lincoln MR, Connally N, Axisa P-P et al. (2024). Genetic mapping across autoimmune diseases reveals shared associations and mechanisms. nameOfConference

  
  

  DOI: 10.1038/s41588-024-01732-8

  
  

  QMRO: qmroHref
• Truong B, Hull LE, Ruan Y et al. (2024). Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases. nameOfConference

  
  

  DOI: 10.1016/j.xgen.2024.100523

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100340
• Suzuki K, Hatzikotoulas K, Southam L et al. (2024). Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. nameOfConference

  
  

  DOI: 10.1038/s41586-024-07019-6

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/95027