Evidence map›Paper›PMID 26066488›Full record

ArticlePloS one2015

A Systematic Assessment of Accuracy in Detecting Somatic Mosaic Variants by Deep Amplicon Sequencing: Application to NF2 Gene.

Elisa Contini, Irene Paganini, Roberta Sestini, Luisa Candita, Gabriele Lorenzo Capone, Lorenzo Barbetti, Serena Falconi, Sabrina Frusconi, Irene Giotti, Costanza Giuliani and 3 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Incidence of mosaicism in 1055 de novo NF2 cases: much higher than previous estimates with high utility of next-generation sequencing.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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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

13 authors.

Elisa ContiniDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Irene PaganiniDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.
Roberta SestiniDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.
Luisa CanditaDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.
Gabriele Lorenzo CaponeDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.
Lorenzo BarbettiDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.
Serena FalconiDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Sabrina FrusconiDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Irene GiottiDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Costanza GiulianiDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Francesca TorricelliDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Matteo BenelliDiagnostic Genetics Unit, Careggi University Hospital, Florence, Italy.
Laura PapiDepartment of Biomedical Experimental and Clinical Sciences, Medical Genetics, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate detection of low-allelic variants is still challenging, particularly for the identification of somatic mosaicism, where matched control sample is not available. High throughput sequencing, by the simultaneous and independent analysis of thousands of different DNA fragments, might overcome many of the limits of traditional methods, greatly increasing the sensitivity. However, it is necessary to take into account the high number of false positives that may arise due to the lack of matched control samples. Here, we applied deep amplicon sequencing to the analysis of samples with known genotype and variant allele fraction (VAF) followed by a tailored statistical analysis. This method allowed to define a minimum value of VAF for detecting mosaic variants with high accuracy. Then, we exploited the estimated VAF to select candidate alterations in NF2 gene in 34 samples with unknown genotype (30 blood and 4 tumor DNAs), demonstrating the suitability of our method. The strategy we propose optimizes the use of deep amplicon sequencing for the identification of low abundance variants. Moreover, our method can be applied to different high throughput sequencing approaches to estimate the background noise and define the accuracy of the experimental design.

Indexed as

Genes, Neurofibromatosis 2MosaicismPolymorphism, Single NucleotideGene FrequencyHumansMultiplex Polymerase Chain ReactionMutationNeurofibromatosis 2Sensitivity and Specificity

Identifiers

PMID26066488
PMCPMC4466335

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Registered trials

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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.