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. 2020 Dec 18;34:20. doi: 10.15844/pedneurbriefs-34-20

Neurologic Features with Pathogenic Copy Number Variants

Jason Coryell 1,*
PMCID: PMC7747500  PMID: 33354102

Abstract

Investigators from Children’s Hospital at Westmead, University of Sydney, performed a retrospective review (2006-2012) of the diagnostic yield of array comparative genomic hybridization (aCGH) among 555 children with diverse neurologic phenotypes in whom a genetic etiology was suspected [1].

Keywords: Comparative Genomic Hybridization, Genetic, Pediatric Neurology


Investigators from Children’s Hospital at Westmead, University of Sydney, performed a retrospective review (2006-2012) of the diagnostic yield of array comparative genomic hybridization (aCGH) among 555 children with diverse neurologic phenotypes in whom a genetic etiology was suspected [1]. Pathogenicity of copy number variants (CNV) was classified according to previously published guidelines [2]. Forty-seven patients (8.6%) had pathogenic variants. The neurologic phenotype was divided into 17 broad categories. Those with significantly increased odds ratios of a pathogenic CNV included: global developmental delay (DD) [OR 3.69], dysmorphism [OR 2.75], cortical visual impairment [2.73], and microcephaly [OR 2.16]. Logistic regression analysis showed an additive effect of multiple phenotypic categories being more likely associated with a pathogenic CNV (OR 1.18). The combination of developmental delay/intellectual disability with dysmorphism and abnormal head circumference showed the greatest effect among combined categories (OR 2.86). Epilepsy, cerebral palsy, tone abnormality, ataxia, movement disorder, psychiatric comorbidity, and abnormal neuro-diagnostics (MRI brain or spine, EEG) were not independently predictive for pathogenic CNV. [1]

COMMENTARY. This study is in line with multiple prior studies showing increased frequency (~15%) of pathogenic CNVs in individuals with developmental delay (DD)/ intellectual disability (ID) [3]. Pathogenic CNVs have also been shown at higher rates in those with multiple congenital anomalies (17%) [4]. Additionally, >50% of individuals with pathogenic CNVs may have dysmorphic features when refined phenotyping is applied [5].

The authors suggest that the diagnostic yield of aCGH warrants this as a first-tier test in pediatric neurology patients; however, aCGH is perhaps best suited for a targeted population: including those with DD/ID, dysmorphic features, multiple congenital anomalies, or microcephaly. Other studies addressing specific neuro-phenotypes, such as epilepsy or weakness, show a higher diagnostic yield with whole-exome sequencing (WES) or targeted panels. For example, in pediatric epilepsy patients, a meta-analysis revealed a diagnostic yield of 45% for WES, 23% for a targeted panel (TP), and 8% for CGH. A cost-effectiveness analysis indicated that a tiered testing system was cheaper when the initial test was WES or TP, rather than aCGH [6]. Similarly, the diagnostic yield of WES within a pediatric neuromuscular clinic was 39% [7].

This chart review predates the increased use of next-generation sequencing panels or WES. As the authors indicate, the increasing use of WES as a first test will identify many CNVs previously detected on aCGH. If there is a high a priori suspicion that the phenotype is more consistent with a CNV than a single gene disorder, aCGH could be a more rapid and cost-effective approach for that subset of neurology patients.

This article contributes to pediatric neurogenetics literature by helping to narrow the spectrum of neuro-phenotypes for whom CGH may be the best initial test.

Disclosures

The author has declared that no competing interests exist.

References

  • 1.Misra S, Peters G, Barnes E, Ardern-Holmes S, Webster R, Troedson C, et al. Yield of comparative genomic hybridization microarray in pediatric neurology practice. Neurol Genet. 2019 Oct;5(6):e367. doi: 10.1212/NXG.0000000000000367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Beaudet AL. Reaching a CNV milestone. Nat Genet. 2014 Oct;46(10):1046–8. doi: 10.1038/ng.3106. [DOI] [PubMed] [Google Scholar]
  • 3.Miller DT, Adam MP, Aradhya S, Biesecker LG, Brothman AR, Carter NP, et al. Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies. Am J Hum Genet. 2010 May;86(5):749–64. doi: 10.1016/j.ajhg.2010.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lu XY, Phung MT, Shaw CA, Pham K, Neil SE, Patel A, et al. Genomic imbalances in neonates with birth defects: high detection rates by using chromosomal microarray analysis. Pediatrics. 2008 Dec;122(6):1310–8. doi: 10.1542/peds.2008-0297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Qiao Y, Mercier E, Dastan J, Hurlburt J, McGillivray B, Chudley AE, et al. Copy number variants (CNVs) analysis in a deeply phenotyped cohort of individuals with intellectual disability (ID) BMC Med Genet. 2014 Jul;15(1):82. doi: 10.1186/1471-2350-15-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sánchez Fernández I, Loddenkemper T, Gaínza-Lein M, Sheidley BR, Poduri A. Diagnostic yield of genetic tests in epilepsy: A meta-analysis and cost-effectiveness study. Neurology. 2019 Jan;92(5):e418–28. doi: 10.1212/WNL.0000000000006850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Waldrop MA, Pastore M, Schrader R, Sites E, Bartholomew D, Tsao CY, et al. Diagnostic Utility of Whole Exome Sequencing in the Neuromuscular Clinic. Neuropediatrics. 2019 Apr;50(2):96–102. doi: 10.1055/s-0039-1677734. [DOI] [PubMed] [Google Scholar]

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