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Updated: Jan 1, 2026

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Yield of comparative genomic hybridization microarray in pediatric neurology practice
Shibalik Misra1, Greg Peters1, Elizabeth Barnes1
1Kids Neuroscience Centre (S.M., R.D.), the Children's Hospital at Westmead, Faculty of Medicine and Health, the University of Sydney; Department of Clinical Genetics (G.P.) at the Children's Hospital at Westmead; Kids Research Institute at Westmead (E.B.); TY Nelson Department of Neurology and Neurosurgery at the Children's Hospital at Westmead Sydney (S.A.-H., R.W., C.T., S.S.M., D.G., M.M., S.G., P.P., J.A., R.C.D.), New South Wales, Australia; and Institute of Child Health (M.K.), University College London, UK.
Array comparative genomic hybridization (aCGH) identified pathogenic copy number variants (CNVs) in 8.59% of children with neurologic disorders. Developmental delay and dysmorphism were key indicators for detecting these genetic variations.
Area of Science:
- Medical Genetics
- Pediatric Neurology
- Genomic Medicine
Background:
- Array comparative genomic hybridization (aCGH) is a tool for detecting copy number variants (CNVs).
- Identifying the genetic basis of diverse pediatric neurologic disorders is crucial for diagnosis and management.
Purpose of the Study:
- To evaluate the diagnostic yield of aCGH in a large cohort of children with various neurologic conditions.
- To determine if specific neurologic phenotypes are associated with a higher likelihood of detecting pathogenic CNVs.
Main Methods:
- Retrospective analysis of 555 children with suspected genetic etiologies who underwent whole-genome aCGH testing.
- Neurologic phenotyping based on hospital medical records.
- Pathogenicity assessment of identified CNVs using current literature.
Main Results:
- Overall diagnostic yield for pathogenic CNVs was 8.59%.
- Developmental delay, cortical visual impairment, dysmorphism, and microcephaly were significant predictors of pathogenic CNVs.
- Increased clinical features correlated with a higher likelihood of detecting pathogenic CNVs.
Conclusions:
- aCGH is effective in diagnosing genetic causes of diverse pediatric neurologic disorders, with a notable yield of 8.59%.
- Children with developmental delay, dysmorphism, cortical visual impairment, and microcephaly showed increased diagnostic yield.
- While effective, aCGH may be superseded by whole-genome sequencing in the future.
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