Evidence map›Paper›PMID 24667782›Full record

ArticleEuropean journal of human genetics : EJHG2015

Analysis of the whole mitochondrial genome: translation of the Ion Torrent Personal Genome Machine system to the diagnostic bench?

Sara Seneca, Kim Vancampenhout, Rudy Van Coster, Joél Smet, Willy Lissens, Arnaud Vanlander, Boel De Paepe, An Jonckheere, Katrien Stouffs, Linda De Meirleir

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  9. eKLIPse: a sensitive tool for the detection and quantification of mitochondrial DNA deletions from next-generation sequencing data.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
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  13. Review
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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

10 authors.

Sara Seneca1] Center for Medical Genetics, UZ Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium [2] Research Group Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Kim VancampenhoutResearch Group Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Rudy Van CosterDepartment of Pediatrics, Division of Neurology and Metabolism, University Hospital Ghent, Ghent University, Ghent, Belgium.
Joél SmetDepartment of Pediatrics, Division of Neurology and Metabolism, University Hospital Ghent, Ghent University, Ghent, Belgium.
Willy Lissens1] Center for Medical Genetics, UZ Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium [2] Research Group Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Arnaud VanlanderDepartment of Pediatrics, Division of Neurology and Metabolism, University Hospital Ghent, Ghent University, Ghent, Belgium.
Boel De PaepeDepartment of Pediatrics, Division of Neurology and Metabolism, University Hospital Ghent, Ghent University, Ghent, Belgium.ORCID 0000000194034401
An JonckheereDepartment of Pediatric Neurology, UZ Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Katrien Stouffs1] Center for Medical Genetics, UZ Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium [2] Research Group Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Linda De Meirleir1] Research Group Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Brussels, Belgium [2] Department of Pediatric Neurology, UZ Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS), an innovative sequencing technology that enables the successful analysis of numerous gene sequences in a massive parallel sequencing approach, has revolutionized the field of molecular biology. Although NGS was introduced in a rather recent past, the technology has already demonstrated its potential and effectiveness in many research projects, and is now on the verge of being introduced into the diagnostic setting of routine laboratories to delineate the molecular basis of genetic disease in undiagnosed patient samples. We tested a benchtop device on retrospective genomic DNA (gDNA) samples of controls and patients with a clinical suspicion of a mitochondrial DNA disorder. This Ion Torrent Personal Genome Machine platform is a high-throughput sequencer with a fast turnaround time and reasonable running costs. We challenged the chemistry and technology with the analysis and processing of a mutational spectrum composed of samples with single-nucleotide substitutions, indels (insertions and deletions) and large single or multiple deletions, occasionally in heteroplasmy. The output data were compared with previously obtained conventional dideoxy sequencing results and the mitochondrial revised Cambridge Reference Sequence (rCRS). We were able to identify the majority of all nucleotide alterations, but three false-negative results were also encountered in the data set. At the same time, the poor performance of the PGM instrument in regions associated with homopolymeric stretches generated many false-positive miscalls demanding additional manual curation of the data.

Indexed as

Genome, MitochondrialGenomicsGenetic TestingGenetic VariationHigh-Throughput Nucleotide SequencingHumansMitochondrial DiseasesReproducibility of ResultsSensitivity and SpecificitySequence Deletion

Identifiers

PMID24667782
PMCPMC4266735

What OpenQuestion holds

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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.