Evidence map›Paper›PMID 32313153›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

The diagnostic utility of genome sequencing in a pediatric cohort with suspected mitochondrial disease.

Lisa G Riley, Mark J Cowley, Velimir Gayevskiy, Andre E Minoche, Clare Puttick, David R Thorburn, Rocio Rius, Alison G Compton, Minal J Menezes, Kaustuv Bhattacharya and 9 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 97 citations in OpenAlex.

  1. Trial
  2. Review
  3. Mainstreaming genomic testing for mitochondrial disease in Australia.European journal of human genetics : EJHG · 2026
    Article
  4. Review
  5. Article
  6. Article
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  9. Primary mitochondrial disorders and mimics: Insights from a large French cohort.Annals of clinical and translational neurology · 2024
    Article
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  12. Review
  13. Article
  14. RecessiveJournal of medical genetics · 2023
    Article
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  19. Article
  20. The Mitochondrial tRNALife (Basel, Switzerland) · 2023
    Review
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

19 authors at 7 institutions in 1 country.

Lisa G RileyGenetic Metabolic Disorders Research Unit, The Children's Hospital at Westmead, Sydney, Australia. lisa.riley@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-1142-316X
Mark J CowleyKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Velimir GayevskiyKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Andre E MinocheKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Clare PuttickKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
David R ThorburnMurdoch Children's Research Institute, Melbourne, Australia.
Rocio RiusMurdoch Children's Research Institute, Melbourne, Australia.
Alison G ComptonMurdoch Children's Research Institute, Melbourne, Australia.
Minal J MenezesGenetic Metabolic Disorders Research Unit, The Children's Hospital at Westmead, Sydney, Australia.
Kaustuv BhattacharyaDiscipline of Child & Adolescent Health, University of Sydney, Sydney, NSW, Australia.
David ComanDepartment of Metabolic Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia.
Carolyn EllawayDiscipline of Child & Adolescent Health, University of Sydney, Sydney, NSW, Australia.
Ian E AlexanderDiscipline of Child & Adolescent Health, University of Sydney, Sydney, NSW, Australia.
Louisa AdamsDiscipline of Child & Adolescent Health, University of Sydney, Sydney, NSW, Australia.
Maina KavaMetabolic Unit, Department of Rheumatology and Metabolic Medicine, Perth Children's Hospital, Perth, Australia.
Jacqui RobinsonDepartment of Clinical Genetics, Sydney Children's Hospital Randwick, Sydney, NSW, Australia.
Carolyn M SueKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Shanti BalasubramaniamGenetic Metabolic Disorders Service, The Children's Hospital at Westmead, Sydney, NSW, Australia.
John ChristodoulouGenetic Metabolic Disorders Research Unit, The Children's Hospital at Westmead, Sydney, Australia.
The University of Sydney · AUGarvan Institute of Medical Research · AUMurdoch Children's Research Institute · AUGriffith University · AUSydney Children's Hospital · AUThe University of Melbourne · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe utility of genome sequencing (GS) in the diagnosis of suspected pediatric mitochondrial disease (MD) was investigated.

methodsAn Australian cohort of 40 pediatric patients with clinical features suggestive of MD were classified using the modified Nijmegen mitochondrial disease severity scoring into definite (17), probable (17), and possible (6) MD groups. Trio GS was performed using DNA extracted from patient and parent blood. Data were analyzed for single-nucleotide variants, indels, mitochondrial DNA variants, and structural variants.

resultsA definitive MD gene molecular diagnosis was made in 15 cases and a likely MD molecular diagnosis in a further five cases. Causative mitochondrial DNA (mtDNA) variants were identified in four of these cases. Three potential novel MD genes were identified. In seven cases, causative variants were identified in known disease genes with no previous evidence of causing a primary MD. Diagnostic rates were higher in patients classified as having definite MD.

conclusionGS efficiently identifies variants in MD genes of both nuclear and mitochondrial origin. A likely molecular diagnosis was identified in 67% of cases and a definitive molecular diagnosis achieved in 55% of cases. This study highlights the value of GS for a phenotypically and genetically heterogeneous disorder like MD.

Indexed as

Genome, MitochondrialMitochondrial DiseasesAustraliaChildChromosome MappingDNA, MitochondrialHumansMutationDNA, Mitochondrialdiagnosisgenome sequencingmitochondrial diseasepediatricrespiratory chain

Identifiers

PMID32313153
OpenAlexW3017128939

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.