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Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development
Disorders of sexual development (DSD) are estimated to occur in 1 of 4500 births. Since the genetic etiology of DSD is highly heterogeneous, obtaining a definitive molecular diagnosis by single gene test is challenging. Utilizing a high-throughput sequencing upfront is proposed as an efficient appro...
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/PMC5353765/ https://www.ncbi.nlm.nih.gov/pubmed/28295047 http://dx.doi.org/10.1038/srep44536 |
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author | Fan, Yanjie Zhang, Xia Wang, Lili Wang, Ruifang Huang, Zhuo Sun, Yu Yao, Ruen Huang, Xiaodong Ye, Jun Han, Lianshu Qiu, Wenjuan Zhang, Huiwen Liang, Lili Gu, Xuefan Yu, Yongguo |
author_facet | Fan, Yanjie Zhang, Xia Wang, Lili Wang, Ruifang Huang, Zhuo Sun, Yu Yao, Ruen Huang, Xiaodong Ye, Jun Han, Lianshu Qiu, Wenjuan Zhang, Huiwen Liang, Lili Gu, Xuefan Yu, Yongguo |
author_sort | Fan, Yanjie |
collection | PubMed |
description | Disorders of sexual development (DSD) are estimated to occur in 1 of 4500 births. Since the genetic etiology of DSD is highly heterogeneous, obtaining a definitive molecular diagnosis by single gene test is challenging. Utilizing a high-throughput sequencing upfront is proposed as an efficient approach to aid in the diagnosis. This study aimed to examine the diagnostic yield of next-generation sequencing in DSD. 32 DSD patients that previously received clinical examinations and single gene tests were selected, with or without a diagnosis. Prior single gene tests were masked, and then samples went through targeted next-generation sequencing of 80 genes from which the diagnostic yield was assessed. A likely diagnosis, with pathogenic or likely pathogenic variants identified, was obtained from nine of the 32 patients (i.e., 28.1%, versus 10% by single gene tests). In another five patients (15.6%), variants of uncertain significance were found. Among 18 variants identified (i.e., 17 single nucleotide variants and one small deletion), eight had not been previously reported. This study supports the notion that next-generation sequencing can be an efficient tool in the clinical diagnosis and variant discovery in DSD. |
format | Online Article Text |
id | pubmed-5353765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53537652017-03-22 Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development Fan, Yanjie Zhang, Xia Wang, Lili Wang, Ruifang Huang, Zhuo Sun, Yu Yao, Ruen Huang, Xiaodong Ye, Jun Han, Lianshu Qiu, Wenjuan Zhang, Huiwen Liang, Lili Gu, Xuefan Yu, Yongguo Sci Rep Article Disorders of sexual development (DSD) are estimated to occur in 1 of 4500 births. Since the genetic etiology of DSD is highly heterogeneous, obtaining a definitive molecular diagnosis by single gene test is challenging. Utilizing a high-throughput sequencing upfront is proposed as an efficient approach to aid in the diagnosis. This study aimed to examine the diagnostic yield of next-generation sequencing in DSD. 32 DSD patients that previously received clinical examinations and single gene tests were selected, with or without a diagnosis. Prior single gene tests were masked, and then samples went through targeted next-generation sequencing of 80 genes from which the diagnostic yield was assessed. A likely diagnosis, with pathogenic or likely pathogenic variants identified, was obtained from nine of the 32 patients (i.e., 28.1%, versus 10% by single gene tests). In another five patients (15.6%), variants of uncertain significance were found. Among 18 variants identified (i.e., 17 single nucleotide variants and one small deletion), eight had not been previously reported. This study supports the notion that next-generation sequencing can be an efficient tool in the clinical diagnosis and variant discovery in DSD. Nature Publishing Group 2017-03-15 /pmc/articles/PMC5353765/ /pubmed/28295047 http://dx.doi.org/10.1038/srep44536 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 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/4.0/ |
spellingShingle | Article Fan, Yanjie Zhang, Xia Wang, Lili Wang, Ruifang Huang, Zhuo Sun, Yu Yao, Ruen Huang, Xiaodong Ye, Jun Han, Lianshu Qiu, Wenjuan Zhang, Huiwen Liang, Lili Gu, Xuefan Yu, Yongguo Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title | Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title_full | Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title_fullStr | Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title_full_unstemmed | Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title_short | Diagnostic Application of Targeted Next-Generation Sequencing of 80 Genes Associated with Disorders of Sexual Development |
title_sort | diagnostic application of targeted next-generation sequencing of 80 genes associated with disorders of sexual development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353765/ https://www.ncbi.nlm.nih.gov/pubmed/28295047 http://dx.doi.org/10.1038/srep44536 |
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