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Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System
Genetic testing of PKD1 and PKD2 is expected to play an increasingly important role in determining allelic influences in autosomal dominant polycystic kidney disease (ADPKD) in the near future. However, to date, genetic testing is not commonly employed because it is expensive, complicated because of...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5105999/ https://www.ncbi.nlm.nih.gov/pubmed/27835667 http://dx.doi.org/10.1371/journal.pone.0166288 |
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author | Kinoshita, Moritoshi Higashihara, Eiji Kawano, Haruna Higashiyama, Ryo Koga, Daisuke Fukui, Takafumi Gondo, Nobuhisa Oka, Takehiko Kawahara, Kozo Rigo, Krisztina Hague, Tim Katsuragi, Kiyonori Sudo, Kimiyoshi Takeshi, Masahiko Horie, Shigeo Nutahara, Kikuo |
author_facet | Kinoshita, Moritoshi Higashihara, Eiji Kawano, Haruna Higashiyama, Ryo Koga, Daisuke Fukui, Takafumi Gondo, Nobuhisa Oka, Takehiko Kawahara, Kozo Rigo, Krisztina Hague, Tim Katsuragi, Kiyonori Sudo, Kimiyoshi Takeshi, Masahiko Horie, Shigeo Nutahara, Kikuo |
author_sort | Kinoshita, Moritoshi |
collection | PubMed |
description | Genetic testing of PKD1 and PKD2 is expected to play an increasingly important role in determining allelic influences in autosomal dominant polycystic kidney disease (ADPKD) in the near future. However, to date, genetic testing is not commonly employed because it is expensive, complicated because of genetic heterogeneity, and does not easily identify pathogenic variants. In this study, we developed a genetic testing system based on next-generation sequencing (NGS), long-range polymerase chain reaction, and a new software package. The new software package integrated seven databases and provided access to five cloud-based computing systems. The database integrated 241 polymorphic nonpathogenic variants detected in 140 healthy Japanese volunteers aged >35 years, who were confirmed by ultrasonography as having no cysts in either kidney. Using this system, we identified 60 novel and 30 known pathogenic mutations in 101 Japanese patients with ADPKD, with an overall detection rate of 89.1% (90/101) [95% confidence interval (CI), 83.0%–95.2%]. The sensitivity of the system increased to 93.1% (94/101) (95% CI, 88.1%–98.0%) when combined with multiplex ligation-dependent probe amplification analysis, making it sufficient for use in a clinical setting. In 82 (87.2%) of the patients, pathogenic mutations were detected in PKD1 (95% CI, 79.0%–92.5%), whereas in 12 (12.8%) patients pathogenic mutations were detected in PKD2 (95% CI, 7.5%–21.0%); this is consistent with previously reported findings. In addition, we were able to reconfirm our pathogenic mutation identification results using Sanger sequencing. In conclusion, we developed a high-sensitivity NGS-based system and successfully employed it to identify pathogenic mutations in PKD1 and PKD2 in Japanese patients with ADPKD. |
format | Online Article Text |
id | pubmed-5105999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51059992016-12-08 Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System Kinoshita, Moritoshi Higashihara, Eiji Kawano, Haruna Higashiyama, Ryo Koga, Daisuke Fukui, Takafumi Gondo, Nobuhisa Oka, Takehiko Kawahara, Kozo Rigo, Krisztina Hague, Tim Katsuragi, Kiyonori Sudo, Kimiyoshi Takeshi, Masahiko Horie, Shigeo Nutahara, Kikuo PLoS One Research Article Genetic testing of PKD1 and PKD2 is expected to play an increasingly important role in determining allelic influences in autosomal dominant polycystic kidney disease (ADPKD) in the near future. However, to date, genetic testing is not commonly employed because it is expensive, complicated because of genetic heterogeneity, and does not easily identify pathogenic variants. In this study, we developed a genetic testing system based on next-generation sequencing (NGS), long-range polymerase chain reaction, and a new software package. The new software package integrated seven databases and provided access to five cloud-based computing systems. The database integrated 241 polymorphic nonpathogenic variants detected in 140 healthy Japanese volunteers aged >35 years, who were confirmed by ultrasonography as having no cysts in either kidney. Using this system, we identified 60 novel and 30 known pathogenic mutations in 101 Japanese patients with ADPKD, with an overall detection rate of 89.1% (90/101) [95% confidence interval (CI), 83.0%–95.2%]. The sensitivity of the system increased to 93.1% (94/101) (95% CI, 88.1%–98.0%) when combined with multiplex ligation-dependent probe amplification analysis, making it sufficient for use in a clinical setting. In 82 (87.2%) of the patients, pathogenic mutations were detected in PKD1 (95% CI, 79.0%–92.5%), whereas in 12 (12.8%) patients pathogenic mutations were detected in PKD2 (95% CI, 7.5%–21.0%); this is consistent with previously reported findings. In addition, we were able to reconfirm our pathogenic mutation identification results using Sanger sequencing. In conclusion, we developed a high-sensitivity NGS-based system and successfully employed it to identify pathogenic mutations in PKD1 and PKD2 in Japanese patients with ADPKD. Public Library of Science 2016-11-11 /pmc/articles/PMC5105999/ /pubmed/27835667 http://dx.doi.org/10.1371/journal.pone.0166288 Text en © 2016 Kinoshita et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kinoshita, Moritoshi Higashihara, Eiji Kawano, Haruna Higashiyama, Ryo Koga, Daisuke Fukui, Takafumi Gondo, Nobuhisa Oka, Takehiko Kawahara, Kozo Rigo, Krisztina Hague, Tim Katsuragi, Kiyonori Sudo, Kimiyoshi Takeshi, Masahiko Horie, Shigeo Nutahara, Kikuo Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title | Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title_full | Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title_fullStr | Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title_full_unstemmed | Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title_short | Technical Evaluation: Identification of Pathogenic Mutations in PKD1 and PKD2 in Patients with Autosomal Dominant Polycystic Kidney Disease by Next-Generation Sequencing and Use of a Comprehensive New Classification System |
title_sort | technical evaluation: identification of pathogenic mutations in pkd1 and pkd2 in patients with autosomal dominant polycystic kidney disease by next-generation sequencing and use of a comprehensive new classification system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5105999/ https://www.ncbi.nlm.nih.gov/pubmed/27835667 http://dx.doi.org/10.1371/journal.pone.0166288 |
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