Evidence map›Paper›PMID 31741789›Full record

ArticlePeerJ2019

Differences in the importance of microcephaly, dysmorphism, and epilepsy in the detection of pathogenic CNVs in ID and ASD patients.

Zuzana Capkova, Pavlina Capkova, Josef Srovnal, Katerina Staffova, Vera Becvarova, Marie Trkova, Katerina Adamova, Alena Santava, Vaclava Curtisova, Marian Hajduch and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

11 authors at 4 institutions in 1 country.

Zuzana Capkova *Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Pavlina Capkova *Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Josef SrovnalDepartment of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Katerina StaffovaInstitute of Molecular and Translational Medicine/Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic.
Vera BecvarovaGennet, s.r.o., Prague, Czech Republic.
Marie TrkovaGennet, s.r.o., Prague, Czech Republic.
Katerina AdamovaDepartment of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Alena SantavaDepartment of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Vaclava CurtisovaDepartment of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Marian HajduchInstitute of Molecular and Translational Medicine/Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic.
Martin ProchazkaDepartment of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic.
Palacký University Olomouc · CZUniversity Hospital Olomouc · CZGennet · CZInstitute of Molecular and Translational Medicine · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutism spectrum disorders (ASD) and intellectual disabilities (ID) are heterogeneous and complex developmental diseases with significant genetic backgrounds and overlaps of genetic susceptibility loci. Copy number variants (CNVs) are known to be frequent causes of these impairments. However, the clinical heterogeneity of both disorders causes the diagnostic efficacy of CNV analysis to be modest. This could be resolved by stratifying patients according to their clinical features.

aimFirst, we sought to assess the significance of particular clinical features for the detection of pathogenic CNVs in separate groups of ID and ASD patients and determine whether and how these groups differ from each other in the significance of these variables. Second, we aimed to create a statistical model showing how particular clinical features affect the probability of pathogenic CNV findings.

methodWe tested a cohort of 204 patients with ID (

resultsThe frequency of pathogenic CNV was significantly higher in the ID group than in the ASD group: 18 (19.78%) versus 8 (7%) (

conclusionDysmorphism, microcephaly, and epilepsy increase the probability of pathogenic CNV findings in ID and ASD patients. The significance of each feature as a predictor for pathogenic CNV detection differs depending on whether the patient has only ASD or ID. The probability of pathogenic CNV findings without dysmorphism, macrocephaly, or epilepsy in ASD patients is low. Therefore the efficacy of CNV analysis is limited in these patients.

Indexed as

ADHDAutism spectrum disordersCNVCongenital malformationsEpilepsyFacial dysmorphiaGrowth defectsIntellectual disabilitiesMacrocephalyMicrocephaly

Identifiers

PMID31741789
PMCPMC6859875
OpenAlexW2983790866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.