Related Experiment Video
Updated: Feb 12, 2026

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
Published on: September 20, 2024
Copy number variation in a hospital-based cohort of children with epilepsy
Danique R M Vlaskamp1,2, Petra M C Callenbach1, Patrick Rump2
1Departments of Neurology University Medical Center Groningen University of Groningen Groningen the Netherlands.
Insights
Microarray analysis identified clinically relevant copy number variants in 11% of children with epilepsy, aiding diagnosis. Novel candidate genes for epilepsy were also discovered, advancing genetic research.
Area of Science:
- Genetics
- Neurology
- Pediatrics
Background:
- Epilepsy in children often requires advanced diagnostic tools.
- Microarray analysis detects copy number variants (CNVs), which can be associated with genetic disorders.
- Identifying genetic causes of epilepsy is crucial for diagnosis and treatment.
Purpose of the Study:
- To determine the diagnostic yield of microarray analysis in children with epilepsy.
- To identify new candidate genes and chromosomal regions associated with epilepsy.
Main Methods:
- Retrospective analysis of 226 children diagnosed with epilepsy who underwent microarray analysis.
- Evaluation of copy number variants (CNVs) for pathogenicity based on gene content and prevalence.
- Comparison of clinical features between children who received microarray analysis and those who did not.
Main Results:
- Microarray analysis revealed clinically relevant CNVs in 11% (24/226) of children with epilepsy.
- Children selected for microarray analysis were more likely to have developmental, facial, or behavioral issues.
- Five novel CNVs, including four potential epilepsy candidate genes (MYT1L, UNC5D, SCN4B, NRXN3), were identified.
Conclusions:
- Microarray analysis is valuable for diagnosing epilepsy in children, particularly those with co-occurring developmental and physical abnormalities.
- The study identified potential new genetic targets for epilepsy research.
- These findings support the routine use of microarray analysis in the diagnostic workup of pediatric epilepsy.
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: MYT1L, UNC5D, SCN4B, and NRXN3.
Significance:
The 11% yield in our hospital-based cohort underscores the importance of microarray analysis in diagnostic evaluation of children with epilepsy.
More Related Videos
10:22Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
Published on: December 6, 2016
04:55Handheld Metal Detector Screening for Metallic Foreign Body Ingestion in Children
Published on: September 11, 2018
Related Concept Videos
Hospitals-II
Nurses that work in...
Hospitals-I
What is Variation?
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
Conservative Site-specific Recombination and Phase Variation
The recognition sites for Cre recombinase called LoxP...
Variation
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
Variation of Atmospheric Pressure
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...