Evidence map›Paper›PMID 29564645›Full record

ArticleJournal of applied genetics2018

Diagnostic efficacy and new variants in isolated and complex autism spectrum disorder using molecular karyotyping.

Luca Lovrečić, Polona Rajar, Marija Volk, Sara Bertok, Barbara Gnidovec Stražišar, Damjan Osredkar, Maja Jekovec Vrhovšek, Borut Peterlin

Abstract read
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In one paragraph

Article in Journal of applied genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. CGH Findings in Children with Complex and Essential Autistic Spectrum Disorder.Journal of autism and developmental disorders · 2023
    Article
  8. Article
  9. Review
  10. 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

8 authors at 1 institution in 1 country.

Luca LovrečićClinical Institute of Medical Genetics, University Medical Centre Ljubljana, Slajmerjeva 4, 1000, Ljubljana, Slovenia. lucalovrecic@gmail.com.ORCID http://orcid.org/0000-0003-4119-9530
Polona RajarClinical Institute of Medical Genetics, University Medical Centre Ljubljana, Slajmerjeva 4, 1000, Ljubljana, Slovenia.
Marija VolkClinical Institute of Medical Genetics, University Medical Centre Ljubljana, Slajmerjeva 4, 1000, Ljubljana, Slovenia.
Sara BertokDepartment of Pediatric Endocrinology, Diabetes and Metabolic Diseases, Division of Paediatrics, University Medical Centre Ljubljana, Bohoriceva 28, 1000, Ljubljana, Slovenia.
Barbara Gnidovec StražišarDepartment of Child, Adolescent and Developmental Neurology, Division of Paediatrics, University Medical Centre Ljubljana, Bohoriceva 28, 1000, Ljubljana, Slovenia.
Damjan OsredkarDepartment of Child, Adolescent and Developmental Neurology, Division of Paediatrics, University Medical Centre Ljubljana, Bohoriceva 28, 1000, Ljubljana, Slovenia.
Maja Jekovec VrhovšekDepartment of Child, Adolescent and Developmental Neurology, Division of Paediatrics, University Medical Centre Ljubljana, Bohoriceva 28, 1000, Ljubljana, Slovenia.
Borut PeterlinClinical Institute of Medical Genetics, University Medical Centre Ljubljana, Slajmerjeva 4, 1000, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a group of the neurodevelopment disorders presenting as an isolated ASD or more complex forms, where a broader clinical phenotype comprised of developmental delay and intellectual disability is present. Both the isolated and complex forms have a significant causal genetic component and submicroscopic genomic copy number variations (CNV) are the most common identifiable genetic factor in these patients. The data on microarray testing in ASD cohorts are still accumulating and novel loci are often identified; therefore, we aimed to evaluate the diagnostic efficacy of the method and the relevance of implementing it into routine genetic testing in ASD patients. A genome-wide CNV analysis using the Agilent microarrays was performed in a group of 150 individuals with an isolated or complex ASD. Altogether, 11 (7.3%) pathogenic CNVs and 15 (10.0%) variants of unknown significance (VOUS) were identified, with the highest proportion of pathogenic CNVs in the subgroup of the complex ASD patients (14.3%). An interesting case of previously unreported partial UPF3B gene deletion was identified among the pathogenic CNVs. Among the CNVs with unknown significance, four VOUS involved genes with possible correlation to ASD, namely genes SNTG2, PARK2, CADPS2 and NLGN4X. The diagnostic efficacy of aCGH in our cohort was comparable with those of the previously reported and identified an important proportion of genetic ASD cases. Despite the continuum of published studies on the CNV testing in ASD cohorts, a considerable number of VOUS CNVs is still being identified, namely 10.0% in our study.

Indexed as

DNA Copy Number VariationsKaryotypingAutism Spectrum DisorderCalcium-Binding ProteinsCell Adhesion Molecules, NeuronalChildChild, PreschoolFemaleGenetic TestingHumansMaleMembrane ProteinsMuscle ProteinsOligonucleotide Array Sequence AnalysisPhenotypeUbiquitin-Protein LigasesCADPS2 protein, humanCalcium-Binding ProteinsCell Adhesion Molecules, NeuronalMembrane ProteinsMuscle ProteinsNLGN4X protein, humanparkin proteinSNTG2 protein, humanUbiquitin-Protein LigasesVesicular Transport ProteinsASDAutism spectrum disordersGenetics of autismMicroarraysMolecular karyotypingUPF3B gene

Identifiers

PMID29564645
OpenAlexW2791341377

What OpenQuestion holds

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Registered trials

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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.