Taylor group: Translational Genomics
Translation of genetics research into clinical practice
Research overview
Oxford Biomedical Research Centre – Genomic Medicine Theme

Professor Jenny Taylor is Co-Theme Leader of the Genomic Medicine Theme of the Oxford Biomedical Research Centre (BRC), one of several such centres in the UK funded by the National Institute of Health Research with the overarching aim of translating advances in biomedical research into NHS practice.
The aims of the Genomic Medicine Theme are to:
- apply next-generation sequencing technologies (NGS) to the discovery of novel disease genes
- evaluate and develop these technologies for rapid translation into the clinic, resulting in new NHS-based genetics services
- provide genetics and genomics infrastructure (platforms and expertise) to support other translational research projects
Our research is truly multi-disciplinary, integrating researchers and clinicians (particularly those based at the Centre) from a range of medical specialities, with clinical scientists from the diagnostic laboratories, and others, including specialists in health economics, informatics, and ethics.
The activities of the Genomic Medicine Theme are divided into three sub-themes, each with a specific programme of collaborative projects. Members of the Taylor group are involved across all three sub-themes, either running projects of their own or as collaborators in wider programmes.
Clinical applications of sequencing
Latest publications
CleanCTG: A deep learning model for multi-artefact detection and reconstruction in Cardiotocography
Journal article
Wong S. et al, (2026), Biomedical Signal Processing and Control, 123, 110654 - 110654
Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer
Journal article
Wesselink E. et al, (2026), Cancer Epidemiology, 103
Stem-like CD8+ T cells preserve HBV-specific responses in HBV/HIV co-infection
Journal article
Preechanukul A. et al, (2026), Gut, 75, 1397 - 1410
ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models
Journal article
Kiourlappou M. et al, (2026), GigaScience
Digital twin reconstruction of ventricular repolarisation identifies regional causes of T-wave abnormalities in hypertrophic cardiomyopathy
Preprint
Coleman JA. et al, (2026)
Cardiac Energetics in Health and Disease: A Meta-Analysis
Journal article
Bray JJH. et al, (2026), European Heart Journal - Imaging Methods and Practice
Ethical issues in the clinical use of diagnostic technologies for rare causes of psychosis
Journal article
Baum ML. et al, (2026), The British Journal of Psychiatry, 1 - 6
Saturation editing of RNU4-2 reveals distinct dominant and recessive disorders
Journal article
De Jonghe J. et al, (2026), Nature, 654, 429 - 436
MYB activity drives emergent enhancer activation and enhancer-promoter interactions in acute lymphoblastic leukemia
Journal article
Lau I-J. et al, (2026), Blood, 147, 2865 - 2878