Evidence map›Paper›PMID 33575563›Full record

ArticleNAR genomics and bioinformatics2020

Unraveling heteroplasmy patterns with NOVOPlasty.

Nicolas Dierckxsens, Patrick Mardulyn, Guillaume Smits

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Article
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  13. Complete mitochondrial genome of the worm snailMitochondrial DNA. Part B, Resources · 2024
    Article
  14. The complete chloroplast genome sequence ofMitochondrial DNA. Part B, Resources · 2024
    Article
  15. Article
  16. Multichromosomal Mitochondrial Genome ofInternational journal of molecular sciences · 2023
    Article
  17. Article
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  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Nicolas DierckxsensInteruniversity Institute of Bioinformatics in Brussels (IB2), Université Libre de Bruxelles and Vrije Universiteit Brussel, Triomflaan CP 263, 1050 Brussels, Belgium.
Patrick MardulynInteruniversity Institute of Bioinformatics in Brussels (IB2), Université Libre de Bruxelles and Vrije Universiteit Brussel, Triomflaan CP 263, 1050 Brussels, Belgium.
Guillaume SmitsInteruniversity Institute of Bioinformatics in Brussels (IB2), Université Libre de Bruxelles and Vrije Universiteit Brussel, Triomflaan CP 263, 1050 Brussels, Belgium.
Université Libre de Bruxelles · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heteroplasmy, the existence of multiple mitochondrial haplotypes within an individual, has been studied across different scientific fields. Mitochondrial genome polymorphisms have been linked to multiple severe disorders and are of interest to evolutionary studies and forensic science. Before the development of massive parallel sequencing (MPS), most studies of mitochondrial genome variation were limited to short fragments and to heteroplasmic variants associated with a relatively high frequency (>10%). By utilizing ultra-deep sequencing, it has now become possible to uncover previously undiscovered patterns of intra-individual polymorphisms. Despite these technological advances, it is still challenging to determine the origin of the observed intra-individual polymorphisms. We therefore developed a new method that not only detects intra-individual polymorphisms within mitochondrial and chloroplast genomes more accurately, but also looks for linkage among polymorphic sites by assembling the sequence around each detected polymorphic site. Our benchmark study shows that this method is capable of detecting heteroplasmy more accurately than any method previously available and is the first tool that is able to completely or partially reconstruct the sequence for each mitochondrial haplotype (allele). The method is implemented in our open source software NOVOPlasty that can be downloaded at https://github.com/ndierckx/NOVOPlasty.

Identifiers

PMID33575563
PMCPMC7671380
OpenAlexW2981634347

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.