Evidence map›Paper›PMID 22016070›Full record

ReviewMutation research2012

Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants.

Michael Gundry, Jan Vijg

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Trial
  2. Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Investigating low frequency somatic mutations inbioRxiv : the preprint server for biology · 2024
    Article
  8. Methods to improve the accuracy of next-generation sequencing.Frontiers in bioengineering and biotechnology · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael GundryAlbert Einstein College of Medicine, Department of Genetics, New York, NY 10461, United States.
Jan Vijg

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Stochastic aspects of aging (5 of 11)RL1AG032117 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI VIJG, JAN · 2007 to 2011
$2.0M
Single-Cell Functional GenomicsR01AG034421 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI VIJG, JAN · 2009 to 2012
$1.4M
Direct Somatic Mutation Analysis Through SequencingR21ES019520 · NIEHS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI VIJG, JAN · 2011 to 2012
$457k
Single-cell gene expression profiling of transcriptional noise in agingR21AG030567 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI VIJG, JAN · 2007 to 2008
$404k
NIA NIH HHS AG034421NIA NIH HHS AG17242NIA NIH HHS P01 AG017242NIA NIH HHS R01 AG034421NIA NIH HHS R21 AG030567NIA NIH HHS RL1 AG032117NIEHS NIH HHS ES019520NIEHS NIH HHS R21 ES019520
6 · The paper itself

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.

Indexed as

AnimalsDNA Mutational AnalysisGenetic VariationGenome, HumanGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMutation RateNeoplasmsSequence Alignment

Identifiers

PMID22016070
PMCPMC3237897

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.