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Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders
PURPOSE: Copy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10–20%. Howeve...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460076/ https://www.ncbi.nlm.nih.gov/pubmed/28574513 http://dx.doi.org/10.1038/gim.2016.163 |
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author | Pfundt, Rolph del Rosario, Marisol Vissers, Lisenka E.L.M. Kwint, Michael P. Janssen, Irene M. de Leeuw, Nicole Yntema, Helger G. Nelen, Marcel R. Lugtenberg, Dorien Kamsteeg, Erik-Jan Wieskamp, Nienke Stegmann, Alexander P.A. Stevens, Servi J.C. Rodenburg, Richard J.T. Simons, Annet Mensenkamp, Arjen R. Rinne, Tuula Gilissen, Christian Scheffer, Hans Veltman, Joris A. Hehir-Kwa, Jayne Y. |
author_facet | Pfundt, Rolph del Rosario, Marisol Vissers, Lisenka E.L.M. Kwint, Michael P. Janssen, Irene M. de Leeuw, Nicole Yntema, Helger G. Nelen, Marcel R. Lugtenberg, Dorien Kamsteeg, Erik-Jan Wieskamp, Nienke Stegmann, Alexander P.A. Stevens, Servi J.C. Rodenburg, Richard J.T. Simons, Annet Mensenkamp, Arjen R. Rinne, Tuula Gilissen, Christian Scheffer, Hans Veltman, Joris A. Hehir-Kwa, Jayne Y. |
author_sort | Pfundt, Rolph |
collection | PubMed |
description | PURPOSE: Copy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10–20%. However, for most other genetic disorders, the role of CNVs is less clear and most diagnostic genetic studies are generally limited to the study of single-nucleotide variants (SNVs) and other small variants. With the introduction of exome and genome sequencing, it is now possible to detect both SNVs and CNVs using an exome- or genome-wide approach with a single test. METHODS: We performed exome-based read-depth CNV screening on data from 2,603 patients affected by a range of genetic disorders for which exome sequencing was performed in a diagnostic setting. RESULTS: In total, 123 clinically relevant CNVs ranging in size from 727 bp to 15.3 Mb were detected, which resulted in 51 conclusive diagnoses and an overall increase in diagnostic yield of ~2% (ranging from 0 to –5.8% per disorder). CONCLUSIONS: This study shows that CNVs play an important role in a broad range of genetic disorders and that detection via exome-based CNV profiling results in an increase in the diagnostic yield without additional testing, bringing us closer to single-test genomics. Genet Med advance online publication 27 October 2016 |
format | Online Article Text |
id | pubmed-5460076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54600762017-06-13 Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders Pfundt, Rolph del Rosario, Marisol Vissers, Lisenka E.L.M. Kwint, Michael P. Janssen, Irene M. de Leeuw, Nicole Yntema, Helger G. Nelen, Marcel R. Lugtenberg, Dorien Kamsteeg, Erik-Jan Wieskamp, Nienke Stegmann, Alexander P.A. Stevens, Servi J.C. Rodenburg, Richard J.T. Simons, Annet Mensenkamp, Arjen R. Rinne, Tuula Gilissen, Christian Scheffer, Hans Veltman, Joris A. Hehir-Kwa, Jayne Y. Genet Med Original Research Article PURPOSE: Copy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10–20%. However, for most other genetic disorders, the role of CNVs is less clear and most diagnostic genetic studies are generally limited to the study of single-nucleotide variants (SNVs) and other small variants. With the introduction of exome and genome sequencing, it is now possible to detect both SNVs and CNVs using an exome- or genome-wide approach with a single test. METHODS: We performed exome-based read-depth CNV screening on data from 2,603 patients affected by a range of genetic disorders for which exome sequencing was performed in a diagnostic setting. RESULTS: In total, 123 clinically relevant CNVs ranging in size from 727 bp to 15.3 Mb were detected, which resulted in 51 conclusive diagnoses and an overall increase in diagnostic yield of ~2% (ranging from 0 to –5.8% per disorder). CONCLUSIONS: This study shows that CNVs play an important role in a broad range of genetic disorders and that detection via exome-based CNV profiling results in an increase in the diagnostic yield without additional testing, bringing us closer to single-test genomics. Genet Med advance online publication 27 October 2016 Nature Publishing Group 2017-06 2016-10-27 /pmc/articles/PMC5460076/ /pubmed/28574513 http://dx.doi.org/10.1038/gim.2016.163 Text en Copyright © 2017 Official journal of the American College of Medical Genetics and Genomics http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Original Research Article Pfundt, Rolph del Rosario, Marisol Vissers, Lisenka E.L.M. Kwint, Michael P. Janssen, Irene M. de Leeuw, Nicole Yntema, Helger G. Nelen, Marcel R. Lugtenberg, Dorien Kamsteeg, Erik-Jan Wieskamp, Nienke Stegmann, Alexander P.A. Stevens, Servi J.C. Rodenburg, Richard J.T. Simons, Annet Mensenkamp, Arjen R. Rinne, Tuula Gilissen, Christian Scheffer, Hans Veltman, Joris A. Hehir-Kwa, Jayne Y. Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title | Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title_full | Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title_fullStr | Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title_full_unstemmed | Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title_short | Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
title_sort | detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460076/ https://www.ncbi.nlm.nih.gov/pubmed/28574513 http://dx.doi.org/10.1038/gim.2016.163 |
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