McVeigh, TP; Hanson, H; Burghel, GJ; Turnbull, C; Snape, K
(2025)
Proposed framework for triage of putative germline variants detected via tumour genomic testing in UK oncology practice.
Journal of Medical Genetics, 62 (11).
pp. 709-719.
ISSN 0022-2593
https://doi.org/10.1136/jmg-2025-110947
SGUL Authors: Snape, Katie Mairwen Greenwood
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Abstract
In the UK, most patients receive publicly funded medical care through the National Health Service (NHS), which funds tumour and/or germline testing for eligible patients with cancer to inform clinical management. Testing on tumour-derived DNA may identify putative heritable variants, with implications for the proband and their wider family, but is not a reliable substitute for germline genetic testing when hereditary cancer predisposition is suspected. The likelihood that a variant identified through tumour testing is of germline origin depends on multiple clinical and technical factors. Certain genotypes significantly influence a patient’s cancer risk, and intervention in those carriers may facilitate cancer prevention or early detection, while other genotypes are associated with lower cancer risk, and associated intervention in such cases have limited clinical utility. We convened a national meeting of clinical cancer genetics and scientific leads to rationalise germline follow-up testing of variants identified through tumour-based testing. After contrasting potential approaches, implementation of an NHS-contextualised ‘intermediate conservative’ approach was agreed and refined by the authors, with the final pathway recirculated to the UK clinical and scientific community for consensus agreement and publication. We outline relevant patient, genetic and technical considerations informing likely origin of variants, a review of current relevant guidance and NHS laboratory practices and a workflow for laboratory and clinical teams to triage tumour-detected variants requiring onward germline follow-up. This approach aims to direct limited resources towards identifying germline variants associated with the greatest potential clinical impact, with a view to supporting more efficient and equitable delivery of genomic medicine in oncology.
| Item Type: | Article | ||||||||
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| Additional Information: | © Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. | ||||||||
| Keywords: | Clinical Decision-Making, Genetics, Health Care Quality, Access, and Evaluation, Heredity, Mutation | ||||||||
| SGUL Research Institute / Research Centre: | Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE) | ||||||||
| Journal or Publication Title: | Journal of Medical Genetics | ||||||||
| ISSN: | 0022-2593 | ||||||||
| Language: | en | ||||||||
| Media of Output: | Print-Electronic | ||||||||
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| Publisher License: | Creative Commons: Attribution-Noncommercial 4.0 | ||||||||
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| PubMed ID: | 40750343 | ||||||||
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| URI: | https://openaccess.sgul.ac.uk/id/eprint/117912 | ||||||||
| Publisher's version: | https://doi.org/10.1136/jmg-2025-110947 |
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