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Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice
Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determin...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917842/ https://www.ncbi.nlm.nih.gov/pubmed/27335225 http://dx.doi.org/10.1038/srep28417 |
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author | Árvai, Kristóf Horváth, Péter Balla, Bernadett Tobiás, Bálint Kató, Karina Kirschner, Gyöngyi Klujber, Valéria Lakatos, Péter Kósa, János P. |
author_facet | Árvai, Kristóf Horváth, Péter Balla, Bernadett Tobiás, Bálint Kató, Karina Kirschner, Gyöngyi Klujber, Valéria Lakatos, Péter Kósa, János P. |
author_sort | Árvai, Kristóf |
collection | PubMed |
description | Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determine the most significant osteogenesis imperfecta-related genetic variants in the clinical practice. We selected genes coding collagen type I alpha-1 and-2 (COL1A1, COL1A2) which are responsible for more than 90% of all cases. CRTAP and LEPRE1/P3H1 genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in COL1A1 and COL1A2, 5 in CRTAP and 4 in LEPRE1. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice. |
format | Online Article Text |
id | pubmed-4917842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49178422016-06-27 Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice Árvai, Kristóf Horváth, Péter Balla, Bernadett Tobiás, Bálint Kató, Karina Kirschner, Gyöngyi Klujber, Valéria Lakatos, Péter Kósa, János P. Sci Rep Article Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determine the most significant osteogenesis imperfecta-related genetic variants in the clinical practice. We selected genes coding collagen type I alpha-1 and-2 (COL1A1, COL1A2) which are responsible for more than 90% of all cases. CRTAP and LEPRE1/P3H1 genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in COL1A1 and COL1A2, 5 in CRTAP and 4 in LEPRE1. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice. Nature Publishing Group 2016-06-23 /pmc/articles/PMC4917842/ /pubmed/27335225 http://dx.doi.org/10.1038/srep28417 Text en Copyright © 2016, Macmillan Publishers Limited 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 Árvai, Kristóf Horváth, Péter Balla, Bernadett Tobiás, Bálint Kató, Karina Kirschner, Gyöngyi Klujber, Valéria Lakatos, Péter Kósa, János P. Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title_full | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title_fullStr | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title_full_unstemmed | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title_short | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
title_sort | next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917842/ https://www.ncbi.nlm.nih.gov/pubmed/27335225 http://dx.doi.org/10.1038/srep28417 |
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