Somatic mutations drive cancer development and may contribute to ageing and other diseases. Yet, the di culty of detecting mutations present only in single cells or small clones has limited our knowledge of somatic mutagenesis to a minority of tissues. To overcome these limitations, we introduce nanorate sequencing (NanoSeq), a new duplex sequencing protocol with error rates <5 errors per billion base pairs in single DNA molecules from cell populations. The version of the protocol described here uses clean genome fragmentation with a restriction enzyme to prevent end-repair-associated errors and ddBTPs/dATPs during A-tailing to prevent nick extension. Both changes reduce the error rate of standard duplex sequencing protocols by preventing the xation of DNA damage into both strands of DNA molecules during library preparation. We also use qPCR quanti cation of the library prior to ampli cation to optimise the complexity of the sequencing library given the desired sequencing coverage, maximising duplex coverage. The sample preparation protocol takes between 1 and 2 days, depending on the number of samples processed. The bioinformatic protocol is described in:

The colorectal adenoma-carcinoma sequence has provided a paradigmatic framework for understanding the successive somatic genetic changes and consequent clonal expansions leading to cancer. As for most cancer types, however, understanding of the earliest phases of colorectal neoplastic change, which may occur in morphologically normal tissue, is comparatively limited. Here, we whole genome sequenced hundreds of normal crypts from 42 individuals. Signatures of multiple mutational processes were revealed, some ubiquitous and continuous, others only found in some individuals, in some crypts or during certain periods of life. Likely driver mutations were present in ~1% of normal colorectal crypts in middle-aged individuals, indicating that adenomas and carcinomas are rare outcomes of a pervasive process of neoplastic change across morphologically normal colorectal epithelium. Colorectal cancers exhibit substantially elevated mutation burdens relative to normal cells. Sequencing normal colorectal cells provides quantitative insights into the genomic and clonal evolution of cancerdriver mutations, which conceivably are morphologically indistinguishable from normal cells, are similarly unclear. In large part, these deficiencies are due to the technical challenge of identifying somatic mutations in normal tissues, which are composed of myriad microscopic cell clones. Several different approaches have been adopted to address this 4-14 , revealing signatures of common somatic mutational processes in normal cells of the small and large intestine, liver, blood, skin, and nervous system. Thus far, however, studies have not been of sufficient scale to characterise variation in signature activity or detect less frequent processes 4-14. Remarkably high proportions of normal skin, oesophageal, and endometrial epithelial cells have been shown to be members of clones already carrying driver mutations 10,11,15,16 , and large mutant clones have been detected in blood 17-20. The extent of this phenomenon in the colon, an organ with a high cancer incidence, has not been investigated. Colonic epithelium is a contiguous cell sheet organised into ~15,000,000 crypts each composed of ~2,000 cells 21. Towards the base of each crypt resides a small number of stem cells ancestral to the maturing and differentiated cells in the crypt 22. These stem cells stochastically replace one another through a process of neutral drift 23,24 such that all stem cells, and thus all cells, in a crypt derive from a single ancestor stem cell that existed in recent years 25-27. The somatic mutations that were present in this ancestor are thus found in all ~2,000 descendant cells and can be revealed by DNA sequencing of an individual crypt. These stem cells are thought to be the cells of origin of colorectal cancers 28. To characterise the earliest stages of colorectal carcinogenesis, somatic mutation burdens, mutational signatures, clonal dynamics, and the frequency of driver mutations in normal colorectal epithelium were explored by sequencing individual colorect...

Sequencing data have been deposited at the European Genome-Phenome Archive (http://www.ebi.ac.uk/ega/) under accession numbers EGAD00001005193. Somatic mutation calls, including single base substitutions, indels and structural variants, from all 632 samples have been deposited on Mendeley Data with the identifier: http://dx.doi.org/10.17632/b53h2kwpyy.2. Code Availability Detailed method and custom R scripts for the analysis of mutational burden in bronchial epithelium are available in Supplementary Code. Other packages used in the analysis are listed below:

All normal somatic cells are thought to acquire mutations. However, characterisation of the patterns and consequences of somatic mutation in normal tissues is limited. Uterine endometrium is a dynamic tissue that undergoes cyclical shedding and reconstitution and is lined by a gland-forming epithelium. Whole genome sequencing of normal endometrial glands showed that most are clonal cell populations derived from a recent common ancestor with mutation burdens differing from other normal cell types and manyfold lower than endometrial cancers. Mutational signatures found ubiquitously account for most mutations.Many, in some women potentially all, endometrial glands are colonised by cell clones carrying driver mutations in cancer genes, often with multiple drivers. Total and driver mutation burdens increase with age but are also influenced by other factors including body mass index and parity. Clones with drivers often originate during early decades of life. The somatic mutational landscapes of normal cells differ between cell types and are revealing the procession of neoplastic change leading to cancer.

Age-related change in human haematopoiesis causes reduced regenerative capacity1, cytopenias2, immune dysfunction3 and increased risk of blood cancer4–6, but the reason for such abrupt functional decline after 70 years of age remains unclear. Here we sequenced 3,579 genomes from single cell-derived colonies of haematopoietic cells across 10 human subjects from 0 to 81 years of age. Haematopoietic stem cells or multipotent progenitors (HSC/MPPs) accumulated a mean of 17 mutations per year after birth and lost 30 base pairs per year of telomere length. Haematopoiesis in adults less than 65 years of age was massively polyclonal, with high clonal diversity and a stable population of 20,000–200,000 HSC/MPPs contributing evenly to blood production. By contrast, haematopoiesis in individuals aged over 75 showed profoundly decreased clonal diversity. In each of the older subjects, 30–60% of haematopoiesis was accounted for by 12–18 independent clones, each contributing 1–34% of blood production. Most clones had begun their expansion before the subject was 40 years old, but only 22% had known driver mutations. Genome-wide selection analysis estimated that between 1 in 34 and 1 in 12 non-synonymous mutations were drivers, accruing at constant rates throughout life, affecting more genes than identified in blood cancers. Loss of the Y chromosome conferred selective benefits in males. Simulations of haematopoiesis, with constant stem cell population size and constant acquisition of driver mutations conferring moderate fitness benefits, entirely explained the abrupt change in clonal structure in the elderly. Rapidly decreasing clonal diversity is a universal feature of haematopoiesis in aged humans, underpinned by pervasive positive selection acting on many more genes than currently identified.