Refined DNA sequencing tool reveals hidden mutations behind aging and cancer

Researchers have refined a powerful DNA sequencing tool that can uncover hidden mutations that occur naturally in our bodies as we age. In the largest study to date, they have used the tool to provide insights into the earliest steps of cancer development and the role of mutations in healthy tissue.

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 aging 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, 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. 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 aging, 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. 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.

“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 aging and different diseases.”

Dr. Andrew Lawson, co-first author at the Wellcome Sanger Institute

“This is the largest study to date on how somatic mutations accumulate in a human tissue, as a result of aging, 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. Federico Abascal, co-first author at the Wellcome Sanger Institute 

“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. Pantelis Nicola, co-first author at the Wellcome Sanger Institute

“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.”

Dr Iñigo Martincorena, senior author at the Wellcome Sanger Institute 

Source:
Journal reference:

Lawson, A. R. J., et al. (2025) Somatic mutation and selection at population scale. Nature. doi.org/10.1038/s41586-025-09584-w

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Highly targeted gene therapy could revolutionize treatment for cancers linked to herpesvirus