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Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders
Copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) significantly contribute to the etiology of neurodevelopmental disorders, such as developmental delay (DD), intellectual disability (ID), and autism spectrum disorder (ASD). This study summarizes the results of 3.5 year...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128689/ https://www.ncbi.nlm.nih.gov/pubmed/27975050 http://dx.doi.org/10.1155/2016/3284534 |
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author | Ho, Karen S. Twede, Hope Vanzo, Rena Harward, Erin Hensel, Charles H. Martin, Megan M. Page, Stephanie Peiffer, Andreas Mowery-Rushton, Patricia Serrano, Moises Wassman, E. Robert |
author_facet | Ho, Karen S. Twede, Hope Vanzo, Rena Harward, Erin Hensel, Charles H. Martin, Megan M. Page, Stephanie Peiffer, Andreas Mowery-Rushton, Patricia Serrano, Moises Wassman, E. Robert |
author_sort | Ho, Karen S. |
collection | PubMed |
description | Copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) significantly contribute to the etiology of neurodevelopmental disorders, such as developmental delay (DD), intellectual disability (ID), and autism spectrum disorder (ASD). This study summarizes the results of 3.5 years of CMA testing by a CLIA-certified clinical testing laboratory 5487 patients with neurodevelopmental conditions were clinically evaluated for rare copy number variants using a 2.8-million probe custom CMA optimized for the detection of CNVs associated with neurodevelopmental disorders. We report an overall detection rate of 29.4% in our neurodevelopmental cohort, which rises to nearly 33% when cases with DD/ID and/or MCA only are considered. The detection rate for the ASD cohort is also significant, at 25%. Additionally, we find that detection rate and pathogenic yield of CMA vary significantly depending on the primary indications for testing, the age of the individuals tested, and the specialty of the ordering doctor. We also report a significant difference between the detection rate on the ultrahigh resolution optimized array in comparison to the array from which it originated. This increase in detection can significantly contribute to the efficient and effective medical management of neurodevelopmental conditions in the clinic. |
format | Online Article Text |
id | pubmed-5128689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-51286892016-12-14 Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders Ho, Karen S. Twede, Hope Vanzo, Rena Harward, Erin Hensel, Charles H. Martin, Megan M. Page, Stephanie Peiffer, Andreas Mowery-Rushton, Patricia Serrano, Moises Wassman, E. Robert Biomed Res Int Research Article Copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) significantly contribute to the etiology of neurodevelopmental disorders, such as developmental delay (DD), intellectual disability (ID), and autism spectrum disorder (ASD). This study summarizes the results of 3.5 years of CMA testing by a CLIA-certified clinical testing laboratory 5487 patients with neurodevelopmental conditions were clinically evaluated for rare copy number variants using a 2.8-million probe custom CMA optimized for the detection of CNVs associated with neurodevelopmental disorders. We report an overall detection rate of 29.4% in our neurodevelopmental cohort, which rises to nearly 33% when cases with DD/ID and/or MCA only are considered. The detection rate for the ASD cohort is also significant, at 25%. Additionally, we find that detection rate and pathogenic yield of CMA vary significantly depending on the primary indications for testing, the age of the individuals tested, and the specialty of the ordering doctor. We also report a significant difference between the detection rate on the ultrahigh resolution optimized array in comparison to the array from which it originated. This increase in detection can significantly contribute to the efficient and effective medical management of neurodevelopmental conditions in the clinic. Hindawi Publishing Corporation 2016 2016-11-16 /pmc/articles/PMC5128689/ /pubmed/27975050 http://dx.doi.org/10.1155/2016/3284534 Text en Copyright © 2016 Karen S. Ho et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ho, Karen S. Twede, Hope Vanzo, Rena Harward, Erin Hensel, Charles H. Martin, Megan M. Page, Stephanie Peiffer, Andreas Mowery-Rushton, Patricia Serrano, Moises Wassman, E. Robert Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title | Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title_full | Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title_fullStr | Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title_full_unstemmed | Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title_short | Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders |
title_sort | clinical performance of an ultrahigh resolution chromosomal microarray optimized for neurodevelopmental disorders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128689/ https://www.ncbi.nlm.nih.gov/pubmed/27975050 http://dx.doi.org/10.1155/2016/3284534 |
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