Evidence map›Paper›PMID 38444904›Full record

ArticleBrain communications2024

Diagnostic utility of exome sequencing followed by research reanalysis in human brain malformations.

Daniz Kooshavar, David J Amor, Kirsten Boggs, Naomi Baker, Christopher Barnett, Michelle G de Silva, Samantha Edwards, Michael C Fahey, Justine E Marum, Penny Snell and 13 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

23 authors at 15 institutions in 1 country.

Daniz KooshavarMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
David J AmorMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Kirsten BoggsCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, NSW 2031, Australia.
Naomi BakerVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Christopher BarnettSA Clinical Genetics Service, Women's and Children's Hospital, North Adelaide, SA 5006, Australia.
Michelle G de SilvaMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Samantha EdwardsHarry Perkins Institute of Medical Research, University of Western Australia, Nedlands, WA 6009, Australia.
Michael C FaheyDepartment of Paediatrics, Monash University, Clayton, VIC 3168, Australia.
Justine E MarumAustralian Genomics, Parkville, VIC 3052, Australia.
Penny SnellMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Kiymet BozaogluMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Kate PopeMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Shekeeb S MohammadDepartment of Neurology, Westmead Hospital, Westmead, NSW 2145, Australia.
Kate RineyNeurosciences Unit, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia.
Rani SachdevCentre for Clinical Genetics, Sydney Children's Hospital, Randwick, NSW 2031, Australia.
Ingrid E SchefferMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.
Sarah SchenscherPaediatric and Reproductive Genetics Unit, Women's and Children's Hospital, Adelaide, SA 5006Australia.
John SilbersteinDepartment of Neurology, Princess Margaret Hospital, Nedlands, WA 6009, Australia.
Nicholas SmithDepartment of Neurology and Clinical Neurophysiology, Women's and Children's Hospital, North Adelaide, SA 5006, Australia.
Melanie TomGenetic Health Queensland, Royal Brisbane and Women's Hospital, Herston, QLD 4029Australia.
Tyson L WareDepartment of Paediatrics, Royal Hobart Hospital, Hobart, TAS 7000, Australia.
Paul J LockhartMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0003-2531-8413
Richard J LeventerMurdoch Children's Research Institute, Parkville, VIC 3052, Australia.ORCID https://orcid.org/0000-0003-0362-5607
The University of Melbourne · AUMurdoch Children's Research Institute · AUWomen's and Children's Hospital · AURoyal Children's Hospital · AUChildren's Hospital at Westmead · AUMelbourne Genomics Health Alliance · AUMonash University · AUPrincess Margaret Hospital for Children · AURoyal Brisbane and Women's Hospital · AURoyal Hobart Hospital · AUSydney Children's Hospital · AUThe University of Queensland · AUThe University of Western Australia · AUVictorian Clinical Genetics Services · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the diagnostic yield of singleton exome sequencing and subsequent research-based trio exome analysis in children with a spectrum of brain malformations seen commonly in clinical practice. We recruited children ≤ 18 years old with a brain malformation diagnosed by magnetic resonance imaging and consistent with an established list of known genetic causes. Patients were ascertained nationally from eight tertiary paediatric centres as part of the Australian Genomics Brain Malformation Flagship. Chromosome microarray was required for all children, and those with pathogenic copy number changes were excluded. Cytomegalovirus polymerase chain reaction on neonatal blood spots was performed on all children with polymicrogyria with positive patients excluded. Singleton exome sequencing was performed through a diagnostic laboratory and analysed using a clinical exome sequencing pipeline. Undiagnosed patients were followed up in a research setting, including reanalysis of the singleton exome data and subsequent trio exome sequencing. A total of 102 children were recruited. Ten malformation subtypes were identified with the commonest being polymicrogyria (36%), pontocerebellar hypoplasia (14%), periventricular nodular heterotopia (11%), tubulinopathy (10%), lissencephaly (10%) and cortical dysplasia (9%). The overall diagnostic yield for the clinical singleton exome sequencing was 36%, which increased to 43% after research follow-up. The main source of increased diagnostic yield was the reanalysis of the singleton exome data to include newly discovered gene-disease associations. One additional diagnosis was made by trio exome sequencing. The highest phenotype-based diagnostic yields were for cobblestone malformation, tubulinopathy and lissencephaly and the lowest for cortical dysplasia and polymicrogyria. Pathogenic variants were identified in 32 genes, with variants in 6/32 genes occurring in more than one patient. The most frequent genetic diagnosis was pathogenic variants in

Indexed as

brain malformationsexome sequencinggenomics

Identifiers

PMID38444904
PMCPMC10914449
OpenAlexW4392240057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.