Publications
medRxivNov 2024 DOI:
10.1101/2024.10.30.24316422

Somatic mutation and selection at epidemiological scale

Lawson, Andrew R. J.; Abascal, Federico; Nicola, Pantelis A.; Lensing, Stefanie V.; Roberts, Amy L.; Kalantzis, Georgios; Baez-Ortega, Adrian; Brzozowska, Natalia; El-Sayed Moustafa, Julia S.; Vaitkute, Dovile; Jakupovic, Belma; Nessa, Ayrun; Wadge, Samuel; Paterson, Anna L.; Rassl, Doris M.; Alcantara, Raul E.; O’Neill, Laura; Widaa, Sara; Austin-Guest, Siobhan; Neville, Matthew D. C.; Przybilla, Moritz J.; Cheng, Wei; Morra, Maria; Sykes, Lucy; Mayho, Matthew; Müller-Sienerth, Nicole; Williams, Nick; Alexander, Diana; Harvey, Luke M. R.; Clarke, Thomas; Byrne, Alex; Blundell, Jamie R.; Young, Matthew D.; Mahbubani, Krishnaa T. A.; Saeb-Parsy, Kourosh; Martin, Hilary C.; Stratton, Michael R.; Campbell, Peter J.; Rahbari, Raheleh; Small, Kerrin S.; Martincorena, Iñigo
Abstract
As we age, many tissues become colonised by microscopic clones carrying somatic driver mutations (1-10. Some of these clones represent a first step towards cancer whereas others may contribute to ageing and other diseases. However, our understanding of the clonal landscapes of human tissues, and their impact on cancer risk, ageing and disease, remains limited due to the challenge of detecting somatic mutations present in small numbers of cells. Here, we introduce a new version of nanorate sequencing (NanoSeq)11, a duplex sequencing method with error rates

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