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Yield of comparative genomic hybridization microarray in pediatric neurology practice

OBJECTIVE: The present study investigated the diagnostic yield of array comparative genomic hybridization (aCGH) in a large cohort of children with diverse neurologic disorders as seen in child neurology practice to test whether pathogenic copy number variants (CNVs) were more likely to be detected...

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Autores principales: Misra, Shibalik, Peters, Greg, Barnes, Elizabeth, Ardern-Holmes, Simone, Webster, Richard, Troedson, Christopher, Mohammad, Shekeeb S., Gill, Deepak, Menezes, Manoj, Gupta, Sachin, Procopis, Peter, Antony, Jayne, Kurian, Manju A., Dale, Russell C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878849/
https://www.ncbi.nlm.nih.gov/pubmed/31872051
http://dx.doi.org/10.1212/NXG.0000000000000367
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author Misra, Shibalik
Peters, Greg
Barnes, Elizabeth
Ardern-Holmes, Simone
Webster, Richard
Troedson, Christopher
Mohammad, Shekeeb S.
Gill, Deepak
Menezes, Manoj
Gupta, Sachin
Procopis, Peter
Antony, Jayne
Kurian, Manju A.
Dale, Russell C.
author_facet Misra, Shibalik
Peters, Greg
Barnes, Elizabeth
Ardern-Holmes, Simone
Webster, Richard
Troedson, Christopher
Mohammad, Shekeeb S.
Gill, Deepak
Menezes, Manoj
Gupta, Sachin
Procopis, Peter
Antony, Jayne
Kurian, Manju A.
Dale, Russell C.
author_sort Misra, Shibalik
collection PubMed
description OBJECTIVE: The present study investigated the diagnostic yield of array comparative genomic hybridization (aCGH) in a large cohort of children with diverse neurologic disorders as seen in child neurology practice to test whether pathogenic copy number variants (CNVs) were more likely to be detected in specific neurologic phenotypes. METHODS: A retrospective cross-sectional analysis was performed on 555 children in whom a genetic etiology was suspected and who underwent whole-genome aCGH testing between 2006 and 2012. Neurologic phenotyping was performed using hospital medical records. An assessment of pathogenicity was made for each CNV, based on recent developments in the literature. RESULTS: Forty-seven patients were found to carry a pathogenic CNV, giving an overall diagnostic yield of 8.59%. Certain phenotypes predicted for the presence of a pathogenic CNV, including developmental delay (odds ratio [OR] 3.69 [1.30–10.51]), cortical visual impairment (OR 2.73 [1.18–6.28]), dysmorphism (OR 2.75 [1.38–5.50]), and microcephaly (OR 2.16 [1.01–4.61]). The combination of developmental delay/intellectual disability with dysmorphism and abnormal head circumference was also predictive for a pathogenic CNV (OR 2.86 [1.02–8.00]). For every additional clinical feature, there was an increased likelihood of detecting a pathogenic CNV (OR 1.18 [1.01–1.38]). CONCLUSIONS: The use of aCGH led to a pathogenic finding in 8.59% of patients. The results support the use of aCGH as a first tier investigation in children with diverse neurologic disorders, although whole-genome sequencing may replace aCGH as the detection method in the future. In particular, the yield was increased in children with developmental delay, dysmorphism, cortical visual impairment, and microcephaly.
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spelling pubmed-68788492019-12-23 Yield of comparative genomic hybridization microarray in pediatric neurology practice Misra, Shibalik Peters, Greg Barnes, Elizabeth Ardern-Holmes, Simone Webster, Richard Troedson, Christopher Mohammad, Shekeeb S. Gill, Deepak Menezes, Manoj Gupta, Sachin Procopis, Peter Antony, Jayne Kurian, Manju A. Dale, Russell C. Neurol Genet Article OBJECTIVE: The present study investigated the diagnostic yield of array comparative genomic hybridization (aCGH) in a large cohort of children with diverse neurologic disorders as seen in child neurology practice to test whether pathogenic copy number variants (CNVs) were more likely to be detected in specific neurologic phenotypes. METHODS: A retrospective cross-sectional analysis was performed on 555 children in whom a genetic etiology was suspected and who underwent whole-genome aCGH testing between 2006 and 2012. Neurologic phenotyping was performed using hospital medical records. An assessment of pathogenicity was made for each CNV, based on recent developments in the literature. RESULTS: Forty-seven patients were found to carry a pathogenic CNV, giving an overall diagnostic yield of 8.59%. Certain phenotypes predicted for the presence of a pathogenic CNV, including developmental delay (odds ratio [OR] 3.69 [1.30–10.51]), cortical visual impairment (OR 2.73 [1.18–6.28]), dysmorphism (OR 2.75 [1.38–5.50]), and microcephaly (OR 2.16 [1.01–4.61]). The combination of developmental delay/intellectual disability with dysmorphism and abnormal head circumference was also predictive for a pathogenic CNV (OR 2.86 [1.02–8.00]). For every additional clinical feature, there was an increased likelihood of detecting a pathogenic CNV (OR 1.18 [1.01–1.38]). CONCLUSIONS: The use of aCGH led to a pathogenic finding in 8.59% of patients. The results support the use of aCGH as a first tier investigation in children with diverse neurologic disorders, although whole-genome sequencing may replace aCGH as the detection method in the future. In particular, the yield was increased in children with developmental delay, dysmorphism, cortical visual impairment, and microcephaly. Wolters Kluwer 2019-10-23 /pmc/articles/PMC6878849/ /pubmed/31872051 http://dx.doi.org/10.1212/NXG.0000000000000367 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Misra, Shibalik
Peters, Greg
Barnes, Elizabeth
Ardern-Holmes, Simone
Webster, Richard
Troedson, Christopher
Mohammad, Shekeeb S.
Gill, Deepak
Menezes, Manoj
Gupta, Sachin
Procopis, Peter
Antony, Jayne
Kurian, Manju A.
Dale, Russell C.
Yield of comparative genomic hybridization microarray in pediatric neurology practice
title Yield of comparative genomic hybridization microarray in pediatric neurology practice
title_full Yield of comparative genomic hybridization microarray in pediatric neurology practice
title_fullStr Yield of comparative genomic hybridization microarray in pediatric neurology practice
title_full_unstemmed Yield of comparative genomic hybridization microarray in pediatric neurology practice
title_short Yield of comparative genomic hybridization microarray in pediatric neurology practice
title_sort yield of comparative genomic hybridization microarray in pediatric neurology practice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878849/
https://www.ncbi.nlm.nih.gov/pubmed/31872051
http://dx.doi.org/10.1212/NXG.0000000000000367
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