The new study, published today (8 October) in Nature, was led by researchers from the Wellcome Sanger Institute, in collaboration with the TwinsUK study at King’s College London. The researchers introduce an improved version of nanorate sequencing (NanoSeq) – an ultra-accurate DNA sequencing technique.
By applying targeted NanoSeq to cheek swabs and blood samples from more than 1,000 volunteers, the team uncovered a rich landscape of mutations in healthy tissues, giving the most detailed picture so far of how tissues mutate over time.
As people age, their cells naturally acquire DNA mutations which are known as somatic mutations. Most are harmless, but some can provide a growth advantage, leading to ‘clones’ of cells that carry the same mutations. As they multiply, some patches of clones have the potential to become the earliest stage in cancer development, but they may also contribute to ageing and other diseases.
Whilst detecting mutations in tumours is straightforward, historically, locating rarer mutations in normal tissues has been extremely challenging. This is because most sequencing methods do not have the accuracy to distinguish real mutations from errors in biopsies composed of thousands of clones, like most non-invasive biopsies.
To overcome this, researchers from the Sanger Institute and their collaborators refined NanoSeq,1 so that it can precisely measure mutation rates, identify mutation patterns, and detect key driver mutations in any tissue.
In this new study and for the first time, the researchers used targeted NanoSeq to analyse non-invasive human samples – cheek swabs – from 1,042 participants in the TwinsUK cohort, alongside 371 blood samples.2 The volunteers ranged in age from 21 to 91, and included smokers and non-smokers, people with different histories of alcohol consumption, and varied lifestyles and exposures to cancer.
The researchers discovered over 340,000 mutations in cheek cells, including over 62,000 in genes known to drive cancer. They identified 49 genes under positive selection, which means they have mutations that give cells a growth advantage, including many well-known cancer genes such as TP53.
The study also revealed clear mutational signatures – patterns of mutations in the genome – linked to ageing, tobacco smoking and alcohol consumption. For example, smoking was associated with more mutations in the NOTCH1 gene and more growth of mutant clones, while heavy drinking left a distinctive pattern of DNA changes. Importantly, most mutated clones in normal tissue were found to be very small and did not continuously grow over time. This suggests that while mutations are common, most mutated cells are prevented from expanding and progressing to cancer.
By combining sampling on a large scale with an improved, highly accurate sequencing tool, this research provides the most detailed picture yet of how normal tissues mutate and evolve over time. The findings open the door to using NanoSeq to directly measure how lifestyle, environment and inherited factors influence DNA.
The improved version of NanoSeq is also being used more widely and is now the workhorse of other cancer and human genetics research at the Sanger Institute. Also announced today in Nature, researchers at the Sanger Institute, in collaboration with the TwinsUK study at King’s College London, used NanoSeq to comprehensively map how harmful DNA changes in sperm cells can increase across the genome as men age.3 From using the ultra-high accuracy of Nanoseq, they hope this will open new opportunities to study how environmental and lifestyle factors impact genetic risks in future generations.
Dr Andrew Lawson, co-first author at the Wellcome Sanger Institute, said: “We’re proud to present targeted NanoSeq, a new method that has completely transformed our ability to study somatic mutations in normal and diseased tissues. We’ve used NanoSeq to begin to understand the earliest steps in cancer development and uncover the role of somatic mutations in ageing and different diseases.”
Dr Federico Abascal, co-first author at the Wellcome Sanger Institute, said: “This is the largest study to date on how somatic mutations accumulate in a human tissue, as a result of ageing, smoking, alcohol, biological sex and other risk factors. Mutational landscapes could one day be used as measurable indicators of cancer risk, allowing earlier and more precise interventions.”
Dr Pantelis Nicola, co-first author at the Wellcome Sanger Institute, said: “Although managing such a large cohort was a huge endeavour, now that we have tools like NanoSeq to detect all types of somatic mutations, soon this study will be seen as a pilot of even larger scale epidemiological studies.”
Dr Iñigo Martincorena, senior author at the Wellcome Sanger Institute, said: “With NanoSeq, we are able to measure the genetic consequences of certain lifestyle factors in normal tissues, meaning we can better understand why and how they cause cancer. We hope that this new ability to study somatic mutations in non-invasive tissue biopsies from healthy individuals becomes a useful tool for cancer prevention, by improving our ability to identify exposures in the population that could be mutagenic and carcinogenic, and by helping in the discovery of cancer preventive drugs.”
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Contact details:
Susannah Young
Press Office
Wellcome Sanger Institute
Cambridge, CB10 1SA
Email: press.office@sanger.ac.uk
Notes to Editors:
Launched in 2021 by the Wellcome Sanger Institute, NanoSeq is a method that makes it possible to study how genetic changes occur in human tissue whilst maintaining a high level of accuracy. The TwinsUK study contains around 16,000 participants. From this group, researchers invited a subset of donors to take part based on several criteria and received cheek swab samples in return. To strengthen the study, researchers prioritised older individuals, complete twin pairs, smokers, people with obesity, and those with available genetic information. They also aimed to reduce demographic bias by including more men and participants of non-white ethnicity. To explore links between mutations and health, they favoured participants with a history of cancer or those who had taken certain medications. Some samples were later excluded because of quality issues. From the final 1,042 donors in the study, 380 individuals with available material in the TwinsUK BioBank were selected for sequencing of archival whole-blood DNA. 371 samples passed quality controls for study inclusion. Neville, M. et al. (2025) ‘Sperm sequencing reveals extensive positive selection in the male germline.’ Nature. DOI: 10.1038/s41586-025-09448-3
Publication:
Lawson, A. Abascal, F. et al. (2025) ‘Somatic mutation and selection at population scale'. Nature. DOI: 10.1038/s41586-025-09584-w
Funding:
This research was supported in part by Wellcome. A full list of funders can be found in the acknowledgements of the paper.
Selected websites:
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