Evidence map›Paper›PMID 23847141›Full record

ArticleJournal of medical genetics2013

Prevalence of rare mitochondrial DNA mutations in mitochondrial disorders.

Sylvie Bannwarth, Vincent Procaccio, Anne Sophie Lebre, Claude Jardel, Annabelle Chaussenot, Claire Hoarau, Hassani Maoulida, Nathanaël Charrier, Xiaowu Gai, Hongbo M Xie and 27 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
  2. Article
  3. Ndufs4GeroScience · 2025
    Review
  4. Article
  5. Article
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  7. Primary mitochondrial disorders and mimics: Insights from a large French cohort.Annals of clinical and translational neurology · 2024
    Article
  8. Frequencies and spectra of aflatoxin BNAR molecular medicine · 2024
    Article
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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

37 authors at 20 institutions in 2 countries.

Sylvie BannwarthIRCAN, CNRS UMR 7284/Inserm U1081/UNS, Faculté de Médecine, Nice, France.
Vincent Procaccio
Anne Sophie Lebre
Claude Jardel
Annabelle Chaussenot
Claire Hoarau
Hassani Maoulida
Nathanaël Charrier
Xiaowu Gai
Hongbo M Xie
Marc Ferre
Konstantina Fragaki
Gaëlle Hardy
Bénédicte Mousson de Camaret
Sandrine Marlin
Claire Marie Dhaenens
Abdelhamid Slama
Christophe Rocher
Jean Paul Bonnefont
Agnès Rötig
Nadia Aoutil
Mylène Gilleron
Valérie Desquiret-Dumas
Pascal Reynier
Jennifer Ceresuela
Laurence Jonard
Aurore Devos
Caroline Espil-Taris
Delphine Martinez
Pauline Gaignard
Kim-Hanh Le Quan Sang
Patrizia Amati-Bonneau
Marni J Falk
Catherine Florentz
Brigitte Chabrol
Isabelle Durand-Zaleski
Véronique Paquis-Flucklinger
Centre Hospitalier Universitaire d'Angers · FRAssistance Publique – Hôpitaux de Paris · FRInserm · FRCentre Hospitalier Le Vinatier · FRCentre National de la Recherche Scientifique · FRChildren's Hospital of Philadelphia · USHôtel-Dieu de Paris · FRInstitut Necker Enfants Malades · FRPitié-Salpêtrière Hospital · FRSorbonne Université · FRArchitecture et Réactivité de l'arN · FRBicêtre Hospital · FRCentre Hospitalier Universitaire de Grenoble · FRCentre Hospitalier Universitaire de Lille · FRCentre Hospitalier Universitaire de Nice · FRHôpital de la Timone · FRHôpital Necker-Enfants Malades · FRInstitut de Recherche sur le Cancer et le Vieillissement de Nice · FRLaboratoire de Génétique Cellulaire · FRUniversité Lille Nord de France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial DNA (mtDNA) diseases are rare disorders whose prevalence is estimated around 1 in 5000. Patients are usually tested only for deletions and for common mutations of mtDNA which account for 5-40% of cases, depending on the study. However, the prevalence of rare mtDNA mutations is not known.

methodsWe analysed the whole mtDNA in a cohort of 743 patients suspected of manifesting a mitochondrial disease, after excluding deletions and common mutations. Both heteroplasmic and homoplasmic variants were identified using two complementary strategies (Surveyor and MitoChip). Multiple correspondence analyses followed by hierarchical ascendant cluster process were used to explore relationships between clinical spectrum, age at onset and localisation of mutations.

results7.4% of deleterious mutations and 22.4% of novel putative mutations were identified. Pathogenic heteroplasmic mutations were more frequent than homoplasmic mutations (4.6% vs 2.8%). Patients carrying deleterious mutations showed symptoms before 16 years of age in 67% of cases. Early onset disease (<1 year) was significantly associated with mutations in protein coding genes (mainly in complex I) while late onset disorders (>16 years) were associated with mutations in tRNA genes. MTND5 and MTND6 genes were identified as 'hotspots' of mutations, with Leigh syndrome accounting for the large majority of associated phenotypes.

conclusionsRare mitochondrial DNA mutations probably account for more than 7.4% of patients with respiratory chain deficiency. This study shows that a comprehensive analysis of mtDNA is essential, and should include young children, for an accurate diagnosis that is now accessible with the development of next generation sequencing technology.

Indexed as

MutationAdolescentAdultAgedAge of OnsetChildChild, PreschoolDNA, MitochondrialFemaleHumansInfantInfant, NewbornMaleMiddle AgedMitochondrial DiseasesPhenotypeDNA, MitochondrialMitochondrial diseaseMitochondrial DNAPatient cohortRare mutations

Identifiers

PMID23847141
PMCPMC3786640
OpenAlexW2136606059

What OpenQuestion holds

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LicenceCC BY-NC
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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.