Evidence map›Paper›PMID 29588953›Full record

ArticleEpilepsia open2017

Copy number variation in a hospital-based cohort of children with epilepsy.

Danique R M Vlaskamp, Petra M C Callenbach, Patrick Rump, Lucia A A Giannini, Trijnie Dijkhuizen, Oebele F Brouwer, Conny M A van Ravenswaaij-Arts

Open access · goldAbstract read
In one paragraph

Article in Epilepsia open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. MYT1L: A systematic review of genetic variation encompassing schizophrenia and autism.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Genomic testing in pediatric epilepsy.Cold Spring Harbor molecular case studies · 2019
    Review
  8. 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

7 authors at 1 institution in 1 country.

Danique R M VlaskampDepartments of Neurology University Medical Center Groningen University of Groningen Groningen the Netherlands.ORCID 0000-0002-6820-8268
Petra M C CallenbachDepartments of Neurology University Medical Center Groningen University of Groningen Groningen the Netherlands.ORCID 0000-0003-2447-7746
Patrick RumpDepartment of Genetics University Medical Center Groningen University of Groningen Groningen the Netherlands.
Lucia A A GianniniDepartment of Genetics University Medical Center Groningen University of Groningen Groningen the Netherlands.
Trijnie DijkhuizenDepartment of Genetics University Medical Center Groningen University of Groningen Groningen the Netherlands.
Oebele F BrouwerDepartments of Neurology University Medical Center Groningen University of Groningen Groningen the Netherlands.
Conny M A van Ravenswaaij-ArtsDepartment of Genetics University Medical Center Groningen University of Groningen Groningen the Netherlands.ORCID 0000-0002-8744-1305
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the diagnostic yield of microarray analysis in a hospital-based cohort of children with seizures and to identify novel candidate genes and susceptibility loci for epilepsy. Methods: Of all children who presented with their first seizure in the University Medical Center Groningen (January 2000 through May 2013) (n = 1,368), we included 226 (17%) children who underwent microarray analysis before June 2014. All 226 children had a definite diagnosis of epilepsy. All their copy number variants (CNVs) on chromosomes 1-22 and X that contain protein-coding genes and have a prevalence of <1% in healthy controls were evaluated for their pathogenicity. Results: Children selected for microarray analysis more often had developmental problems (82% vs. 25%, p < 0.001), facial dysmorphisms (49% vs. 8%, p < 0.001), or behavioral problems (41% vs. 13%, p < 0.001) than children who were not selected. We found known clinically relevant CNVs for epilepsy in 24 of the 226 children (11%). Seventeen of these 24 children had been diagnosed with symptomatic focal epilepsy not otherwise specified (71%) and five with West syndrome (21%). Of these 24 children, many had developmental problems (100%), behavioral problems (54%) or facial dysmorphisms (46%). We further identified five novel CNVs comprising four potential candidate genes for epilepsy: Significance: The 11% yield in our hospital-based cohort underscores the importance of microarray analysis in diagnostic evaluation of children with epilepsy.

Indexed as

DeletionsDuplicationsGeneticsMicroarraySeizures

Identifiers

PMID29588953
PMCPMC5719854
OpenAlexW2604568598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.