Review ArticleScales and mechanisms of somatic mutation rate variation across the human genome☆,☆☆
Introduction
The large-scale sequencing of tumors and healthy somatic cells presents a unique opportunity to learn about somatic mutation processes and how mutation rates vary across the human genome. The primary motivation for tumor genome sequencing was to identify the ‘driver’ mutations that cause cancer. Driver mutations are selected because they promote the expansion or survival of tumor clones. However, most somatic mutations in cancer genomes are inconsequential ‘passenger’ mutations that are under very weak or no selection and statistical analyses of these passenger mutations have provided many fundamental insights into the mutation processes that operate in human cells and how these processes vary across the genome, cell types and individuals.
Absolute mutation rates are difficult to determine for tumor cells, primarily because the number of cell divisions that a tumor cell has undergone is hard to establish. However, it has long been appreciated that many tumors have have an elevated mutation rate, for example because of inactivated DNA repair pathways [[1], [2], [3]]. In this review, we will not focus on the general acceleration in mutation rates in a cancer cell. Instead, we focus on relative mutation rates, which are more straightforward to quantify from regional densities of mutations in the genome. We provide an overview of the patterns of mutations that are observed across regions of the human genome and our current understanding about their mechanistic underpinnings when this is known (although often a detailed mechanistic understanding is still lacking). We place an emphasis on the insight and the novel hypotheses that cancer genomes have yielded about the organization of mutation processes. Our primary focus is on single nucleotide substitutions and short insertions and deletions. The reasons for this are pragmatic: structural variation is much more challenging to precisely infer using short-read sequencing and although progress is being made in both identifying and understanding structural variation, the influences on its regional rates in the soma are far less well understood [4].
Variability in mutation rates across the genome may result from two broad causes: differential accrual of DNA damage and also base mispairing during DNA replication (variation in mutation supply) or differential repair of damage and mispairs (variation in DNA repair). These influences are, of course, not mutually exclusive. Recent work has suggested, however, that the latter – differential DNA repair – appears to play a quantitatively more important role in shaping the mutation landscape in the human soma. This is consistent with the expectation that mutation rates are more sensitive to changes in repair rates than to changes in damage rates because the vast majority of instances of damage are repaired [5].
Section snippets
Somatic mutation rates vary at multiple resolutions
As we discuss below, mutation rates in the human genome vary at multiple different scales from single nucleotides to megabase-sized domains. Importantly, the mechanisms underlying variation at these different genomic resolutions may be quite different and this often confounds statistical analyses performed at a certain resolution. For instance, at the resolution of a single nucleotide, mutation rates are highly dependant on the 5′ and 3′ neighboring nucleotides. For example, in the human
Features and mechanisms associated with mutation rate variation
In the following sections we provide an overview of genomic and epigenomic variables known to be statistically associated with mutation rates at various resolutions. We also highlight examples where the underlying molecular mechanisms are known or suspected.
The redistribution of mutations in cancer
It is well expected that exposures to DNA damaging agents and failing DNA repair increase overall mutation rates. However genome sequencing of cancers has also provided evidence of another, less appreciated, but similarly widespread phenomenon: that exposure to mutagens and DNA repair failures also cause changes in the relative mutation rates of chromosomal regions. Such ‘redistribution’ of mutations across the genome due to mutagenic exposures is likely to have important functional
Outlook: challenges in genomic studies of mutation patterns
Statistical analyses of mutation distributions across the genomes of somatic cells – including not only tumors but also healthy cells [96,97] and cell lines [26,98,99] – have provided valuable insights into the mechanisms that underlie mutation rate variation. The approaches that have been used can, however, likely still be improved to provide deeper insights into mechanisms of DNA repair and mutagenesis.
First, of course, there is a need for more data. A larger number of whole genome sequences
Acknowledgements
This work was funded by the ERC Starting Grant “HYPER-INSIGHT” (to F.S.) and the ERC Consolidator Grant “IR-DC” (to B.L.). F.S. and B.L. are funded by the ICREA Research Professor programme. F.S. acknowledges support of the Severo Ochoa Centres of Excellence programme to the IRB Barcelona, and B.L. to CRG.
References (109)
- et al.
Somatic mutations in aging, cancer and neurodegeneration
Mech. Ageing Dev.
(2012) - et al.
Functional mutations form at CTCF-Cohesin binding sites in melanoma due to uneven nucleotide excision repair across the motif
Cell Rep.
(2016) - et al.
The histone mark H3K36me3 regulates human DNA mismatch repair through its interaction with MutSα
Cell.
(2013) - et al.
SETD2-dependent histone H3K36 trimethylation is required for homologous recombination repair and genome stability
Cell Rep.
(2014) - et al.
Involvement of specialized DNA polymerases in mutagenesis by 8-hydroxy-dGTP in human cells
DNA Repair (Amst.)
(2009) - et al.
Transcription restores DNA repair to heterochromatin, determining regional mutation rates in cancer genomes
Cell Rep.
(2014) - et al.
Seeing mutations in living cells
Curr. Biol.
(2010) - et al.
Visualization of eukaryotic DNA mismatch repair reveals distinct recognition and repair intermediates
Cell.
(2011) - et al.
H3K36me3-mediated mismatch repair preferentially protects actively transcribed genes from mutation
J. Biol. Chem.
(2018) - et al.
Mutational strand asymmetries in cancer genomes reveal mechanisms of DNA damage and repair
Cell
(2016)
Transcription Factor Binding in Human Cells Occurs in Dense Clusters Formed around Cohesin Anchor Sites
Cell
Noncanonical mismatch repair as a source of genomic instability in human cells
Mol. Cell
The hMsh2-hMsh6 complex acts in concert with monoubiquitinated PCNA and Pol η in response to oxidative DNA damage in human cells
Mol. Cell
A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal squamous cell carcinoma
Ann. Oncol.
APOBEC-induced cancer mutations are uniquely enriched in early-replicating, gene-dense, and active chromatin regions
Cell Rep.
Mutational landscape of a chemically-induced mouse model of liver cancer
J. Hepatol.
Human cancers express a mutator phenotype: hypothesis, origin, and consequences
Cancer Res.
Human cancers express mutator phenotypes: origin, consequences and targeting
Nat. Rev. Cancer
Hypermutation in human cancer genomes: footprints and mechanisms
Nat. Rev. Cancer
Patterns and mechanisms of structural variations in human cancer
Exp. Mol. Med.
Heterogeneous polymerase fidelity and mismatch repair bias genome variation and composition
Genome Res.
The interaction between cytosine methylation and processes of DNA replication and repair shape the mutational landscape of cancer genomes
Nucleic Acids Res.
5-hydroxymethylcytosine marks regions with reduced mutation frequency in human DNA
ELife.
Differential DNA mismatch repair underlies mutation rate variation across the human genome
Nature
Mutational biases drive elevated rates of substitution at regulatory sites across Cancer types
PLoS Genet.
CTCF/cohesin-binding sites are frequently mutated in cancer
Nat. Genet.
Clustered mutation signatures reveal that error-prone DNA repair targets mutations to active genes
Cell.
The large-scale distribution of somatic mutations in cancer genomes
Hum. Mutat.
Chromatin organization is a major influence on regional mutation rates in human cancer cells
Nature.
DNA replication timing and selection shape the landscape of nucleotide variation in cancer genomes
Nat. Commun.
Loss of G9a preserves mutation patterns but increases chromatin accessibility, genomic instability and aggressiveness in skin tumours
Nat. Cell Biol.
DNA replication timing and higher-order nuclear organization determine single-nucleotide substitution patterns in cancer genomes
Nat. Commun.
Reduced local mutation density in regulatory DNA of cancer genomes is linked to DNA repair
Nat. Biotechnol.
A chromatin structure‐based model accurately predicts DNA replication timing in human cells
Mol. Syst. Biol.
Cell-of-origin chromatin organization shapes the mutational landscape of cancer
Nature.
Use of CRISPR-modified human stem cell organoids to study the origin of mutational signatures in cancer
Science
Validating the concept of mutational signatures with isogenic cell models
Nat. Commun.
Mutational signature distribution varies with DNA replication timing and strand asymmetry
Genome Biol.
Lambrechts, Mismatch repair deficiency endows tumors with a unique mutation signature and sensitivity to DNA double-strand breaks
ELife.
Variation in efficiency of DNA mismatch repair at different sites in the yeast genome
Proc. Natl. Acad. Sci.
DNA mismatch repair preferentially protects genes from mutation
Genome Res.
Mismatch repair protein MSH2 regulates translesion DNA synthesis following exposure of cells to UV radiation
Nucleic Acids Res.
Signatures of mutational processes in human cancer
Nature
A comprehensive catalogue of somatic mutations from a human cancer genome
Nature
A small-cell lung cancer genome with complex signatures of tobacco exposure
Nature
Somatic mutation in single human neurons tracks developmental and transcriptional history
Science
Insertions and deletions target lineage-defining genes in human cancers
Cell
H3K36 methylation promotes longevity by enhancing transcriptional fidelity
Genes Dev.
Human genes with CpG island promoters have a distinct transcription-associated chromatin organization
Genome Biol.
Reduced mutation rate in exons due to differential mismatch repair
Nat. Genet.
Cited by (39)
Tumour mutational burden is overestimated by target cancer gene panels
2023, Journal of the National Cancer CenterCitation Excerpt :Many of these mutations would undergo positive selection during cancer development.11 On the other hand, mutational processes in cancer genomes are substantially affected by local determinants, such as gene expression, replication timing, tri-nucleotide context and CpG content.12 The regions selected for panel design might show great heterogeneity for these factors compared to exome-wide regions.
Mutation and evolution: Conceptual possibilities
2024, BioEssaysHotspot propensity across mutational processes
2024, Molecular Systems BiologyCancer Evolution: A Multifaceted Affair
2024, Cancer DiscoveryGenomic mutation landscape of skin cancers from DNA repair-deficient xeroderma pigmentosum patients
2023, Nature Communications
- ☆
This Special Issue is edited by Philip C. Hanawalt.
- ☆☆
This article is part of the special issue Cutting-edge Perspectives in Genomic Maintenance VI.