Evidence map›Paper›PMID 30584415›Full record

ArticleJournal of Korean medical science2018

Detection of Innate and Artificial Mitochondrial DNA Heteroplasmy by Massively Parallel Sequencing: Considerations for Analysis.

Moon-Young Kim, Sohee Cho, Ji Hyun Lee, Hee Jin Seo, Soong Deok Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Moon-Young KimDepartment of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6381-9377
Sohee ChoInstitute of Forensic Science, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5764-5705
Ji Hyun LeeDepartment of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9128-3215
Hee Jin SeoDepartment of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9108-3942
Soong Deok LeeDepartment of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4270-4279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial heteroplasmy, the co-existence of different mitochondrial polymorphisms within an individual, has various forensic and clinical implications. But there is still no guideline on the application of massively parallel sequencing (MPS) in heteroplasmy detection. We present here some critical issues that should be considered in heteroplasmy studies using MPS.

methodsAmong five samples with known innate heteroplasmies, two pairs of mixture were generated for artificial heteroplasmies with target minor allele frequencies (MAFs) ranging from 50% to 1%. Each sample was amplified by two-amplicon method and sequenced by Ion Torrent system. The outcomes of two different analysis tools, Torrent Suite Variant Caller (TVC) and mtDNA-Server (mDS), were compared.

resultsAll the innate heteroplasmies were detected correctly by both analysis tools. Average MAFs of artificial heteroplasmies correlated well to the target values. The detection rates were almost 90% for high-level heteroplasmies, but decreased for low-level heteroplasmies. TVC generally showed lower detection rates than mDS, which seems to be due to their own computation algorithms which drop out some reference-dominant heteroplasmies. Meanwhile, mDS reported several unintended low-level heteroplasmies which were suggested as nuclear mitochondrial DNA sequences. The average coverage depth of each sample placed on the same chip showed considerable variation. The increase of coverage depth had no effect on the detection rates.

conclusionIn addition to the general accuracy of the MPS application on detecting heteroplasmy, our study indicates that the understanding of the nature of mitochondrial DNA and analysis algorithm would be crucial for appropriate interpretation of MPS results.

Indexed as

Genome, MitochondrialDNA, MitochondrialGene FrequencyHigh-Throughput Nucleotide SequencingHumansMitochondriaSequence Analysis, DNADNA, MitochondrialComputational BiologyDNA Sequence AnalysisHeteroplasmyMassively Parallel SequencingMitochondrial DNA

Identifiers

PMID30584415
PMCPMC6300661

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.