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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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