ReviewMutation research2012
Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants.
Review in Mutation research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed.
- Trial
- Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026Review
- The MFα signal sequence in yeast-based protein secretion: challenges and innovations'.Applied microbiology and biotechnology · 2025Review
- Exploring the Relationship Between Gene Expression and Low-Frequency Somatic Mutations in Arabidopsis with Duplex Sequencing.Genome biology and evolution · 2024Article
- Concurrent analysis of genome and transcriptome in one single cell.BMC research notes · 2024Article
- Measurable (Minimal) Residual Disease in Myelodysplastic Neoplasms (MDS): Current State and Perspectives.Cancers · 2024Review
- Investigating low frequency somatic mutations inbioRxiv : the preprint server for biology · 2024Article
- Methods to improve the accuracy of next-generation sequencing.Frontiers in bioengineering and biotechnology · 2023Review
- Next-Generation Sequencing (NGS) in the Prediction of Pancreatic Malignancy: Does Cell Free Mean Error Free?Digestive diseases and sciences · 2020Article
- Dual Deep Sequencing Improves the Accuracy of Low-Frequency Somatic Mutation Detection in Cancer Gene Panel Testing.International journal of molecular sciences · 2020Article
- A new primer construction technique that effectively increases amplification of rare mutant templates in samples.BMC biotechnology · 2019Article
- Single-cell whole-genome sequencing reveals the functional landscape of somatic mutations in B lymphocytes across the human lifespan.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- PCR-free whole exome sequencing: Cost-effective and efficient in detecting rare mutations.PloS one · 2019Article
- Somatic Mutagenesis in Mammals and Its Implications for Human Disease and Aging.Annual review of genetics · 2018Review
- Systematic evaluation of error rates and causes in short samples in next-generation sequencing.Scientific reports · 2018Article
- Bartender: a fast and accurate clustering algorithm to count barcode reads.Bioinformatics (Oxford, England) · 2018Article
- Precision Medicine in Hormone Receptor-Positive Breast Cancer.Frontiers in oncology · 2018Review
- Characterization of background noise in capture-based targeted sequencing data.Genome biology · 2017Article
- Genome instability: a conserved mechanism of ageing?Essays in biochemistry · 2017Review
- A high-fidelity method for genomic sequencing of single somatic cells reveals a very high mutational burden.Experimental biology and medicine (Maywood, N.J.) · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
DNA mutations are the source of genetic variation within populations. The majority of mutations with observable effects are deleterious. In humans mutations in the germ line can cause genetic disease. In somatic cells multiple rounds of mutations and selection lead to cancer. The study of genetic variation has progressed rapidly since the completion of the draft sequence of the human genome. Recent advances in sequencing technology, most importantly the introduction of massively parallel sequencing (MPS), have resulted in more than a hundred-fold reduction in the time and cost required for sequencing nucleic acids. These improvements have greatly expanded the use of sequencing as a practical tool for mutation analysis. While in the past the high cost of sequencing limited mutation analysis to selectable markers or small forward mutation targets assumed to be representative for the genome overall, current platforms allow whole genome sequencing for less than $5000. This has already given rise to direct estimates of germline mutation rates in multiple organisms including humans by comparing whole genome sequences between parents and offspring. Here we present a brief history of the field of mutation research, with a focus on classical tools for the measurement of mutation rates. We then review MPS, how it is currently applied and the new insight into human and animal mutation frequencies and spectra that has been obtained from whole genome sequencing. While great progress has been made, we note that the single most important limitation of current MPS approaches for mutation analysis is the inability to address low-abundance mutations that turn somatic tissues into mosaics of cells. Such mutations are at the basis of intra-tumor heterogeneity, with important implications for clinical diagnosis, and could also contribute to somatic diseases other than cancer, including aging. Some possible approaches to gain access to low-abundance mutations are discussed, with a brief overview of new sequencing platforms that are currently waiting in the wings to advance this exploding field even further.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.