Tom Lumbers is UKRI Rutherford Fellow at Health Data Research UK, co-lead Genomics Group at the UCL Institute of Health Informatics, Honorary Consultant Cardiologist at Barts Heart Centre, and a Visiting Scientist at the Broad Institute of Harvard and MIT. He received his Ph.D. in Molecular Biology at Imperial College London and subsequently completed training in Genetic Epidemiology at University College London. Tom’s research focuses on defining the genetic architecture of heart failure and left ventricular dysfunction to generate insights into causal factors and molecular disease mechanisms. He leads the HERMES Consortium, an international collaboration in heart failure genetics. He has received grant funding from the Medical Research Council, National Institute of Health Research, American Heart Association Precision Medicine Initiative. He co-leads the phenotype working group at BigData@Heart, an EU public-private consortium.
Tom’s research focuses on defining the genetic architecture of heart failure and left ventricular dysfunction to generate insights into causal factors and molecular disease mechanisms. His team and HERMES collaborators have delivered the first in a series of large genome-wide association studies of heart failure which will help to unravel the underlying complex causal basis for this disorder in press Nature Communications, pre-print DOI: 10.1101/682013. These analyses are complemented Mendelian randomisation analysis for causal inference and drug target validation, with a particular focus on gene products, such as proteins, as the inferencial target integrating genetic data from multiplexed affinity and aptamer based proteomic assay platforms Sci. Trans. Med. 2018, DOI: 10.1126/scitranslmed.aag1166. To leverage healthcare data for research, his team are developing tools to deliver scalable and computable disease phenotypes for heart failure JAMIA 2019, DOI: 10.1093/jamia/ocz105. These tools are used to identify heart failure disease subtypes in multi-modal healthcare records with the eventual aim of supporting clinical care and quality improvement initiatives and facilitating the integration of genomic information into the clinic.