Evidence map›Paper›PMID 28832570›Full record

ArticleEuropean journal of human genetics : EJHG2017

Accurate and comprehensive analysis of single nucleotide variants and large deletions of the human mitochondrial genome in DNA and single cells.

Filippo Zambelli, Kim Vancampenhout, Dorien Daneels, Daniel Brown, Joke Mertens, Sonia Van Dooren, Ben Caljon, Luca Gianaroli, Karen Sermon, Thierry Voet and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Unraveling heteroplasmy patterns with NOVOPlasty.NAR genomics and bioinformatics · 2020
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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

12 authors at 4 institutions in 2 countries.

Filippo ZambelliResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Kim VancampenhoutResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Dorien DaneelsBrussels Interuniversity Genomics High Throughput Core (BRIGHTcore), UZ Brussel, Vrije Universiteit Brussel (VUB)-Université Libre de Bruxelles (ULB), Brussels, Belgium.
Daniel BrownDepartment of Human Genetics, KU Leuven, Leuven, Belgium.
Joke MertensResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Sonia Van DoorenBrussels Interuniversity Genomics High Throughput Core (BRIGHTcore), UZ Brussel, Vrije Universiteit Brussel (VUB)-Université Libre de Bruxelles (ULB), Brussels, Belgium.
Ben CaljonBrussels Interuniversity Genomics High Throughput Core (BRIGHTcore), UZ Brussel, Vrije Universiteit Brussel (VUB)-Université Libre de Bruxelles (ULB), Brussels, Belgium.
Luca GianaroliS.I.S.Me.R. Reproductive Medicine Unit, Bologna, Italy.
Karen SermonResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Thierry VoetDepartment of Human Genetics, KU Leuven, Leuven, Belgium.
Sara SenecaResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Claudia SpitsResearch Group Reproduction and Genetics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Vrije Universiteit Brussel · BEKU Leuven · BEUniversité Libre de Bruxelles · BEVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive parallel sequencing (MPS) can accurately quantify mitochondrial DNA (mtDNA) single nucleotide variants (SNVs), but no MPS methods are currently validated to simultaneously and accurately establish the breakpoints and frequency of large deletions at low heteroplasmic loads. Here we present the thorough validation of an MPS protocol to quantify the load of very low frequency, large mtDNA deletions in bulk DNA and single cells, along with SNV calling by standard methods. We used a set of well-characterized DNA samples, DNA mixes and single cells to thoroughly control the study. We developed a custom script for the detection of mtDNA rearrangements that proved to be more accurate in detecting and quantifying deletions than pre-existing tools. We also show that PCR conditions and primersets must be carefully chosen to avoid biases in the retrieved variants and an increase in background noise, and established a lower detection limit of 0.5% heteroplasmic load for large deletions, and 1.5 and 2% for SNVs, for bulk DNA and single cells, respectively. Finally, the analysis of different single cells provided novel insights into mtDNA cellular mosaicism.

Indexed as

Gene DeletionGenome, MitochondrialPolymorphism, Single NucleotideCells, CulturedFibroblastsGenome-Wide Association StudyHumansPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID28832570
PMCPMC5643964
OpenAlexW2745864432

What OpenQuestion holds

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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.