Evidence map›Paper›PMID 14573777›Full record

ReviewThe Journal of molecular diagnostics : JMD2003

Techniques and pitfalls in the detection of pathogenic mitochondrial DNA mutations.

Carlos T Moraes, David P Atencio, Jose Oca-Cossio, Francisca Diaz

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of molecular diagnostics : JMD, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. mitoTALEN reduces the mutant mtDNA load in neurons.Molecular therapy. Nucleic acids · 2024
    Article
  4. Article
  5. Article
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  8. Article
  9. Review
  10. Article
  11. 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
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Diagnosis and management of mitochondrial disease: a consensus statement from the Mitochondrial Medicine Society.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Carlos T MoraesDepartment of Neurology, University of Miami School of Medicine, Miami, Florida 33136, USA. cmoraes@med.miami.edu
David P Atencio
Jose Oca-Cossio
Francisca Diaz
University of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the mitochondrial DNA (mtDNA) are now recognized as major contributors to human pathologies and possibly to normal aging. A large number of rearrangements and point mutations in protein coding and tRNA genes have been identified in patients with mitochondrial disorders. In this review, we discuss genotype-phenotype correlations in mitochondrial diseases and common techniques used to identify pathogenic mtDNA mutations in human tissues. Although most of these approaches employ standard molecular biology tools, the co-existence of wild-type and mutated mtDNA (mtDNA heteroplasmy) in diseased tissues complicates both the detection and accurate determination of the size of the mutated fractions. To address these problems, novel approaches were developed and are discussed in this review.

Indexed as

DNA, MitochondrialDNA Mutational AnalysisHumansMitochondriaMitochondrial DiseasesMutationDNA, Mitochondrial

Identifiers

PMID14573777
PMCPMC1907336
OpenAlexW2120974712

What OpenQuestion holds

Textmetadata
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.