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VarWatch—A stand-alone software tool for variant matching
Massively parallel DNA sequencing of clinical samples holds great promise for the gene-based diagnosis of human inherited diseases because it allows rapid detection of putatively causative mutations at genome-wide level. Without additional evidence complementing their initial bioinformatics evaluati...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483337/ https://www.ncbi.nlm.nih.gov/pubmed/31022234 http://dx.doi.org/10.1371/journal.pone.0215618 |
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author | Fredrich, Broder Schmöhl, Marcus Junge, Olaf Gundlach, Sven Ellinghaus, David Pfeufer, Arne Bettecken, Thomas Siddiqui, Roman Franke, Andre Wienker, Thomas F. Hoeppner, Marc P. Krawczak, Michael |
author_facet | Fredrich, Broder Schmöhl, Marcus Junge, Olaf Gundlach, Sven Ellinghaus, David Pfeufer, Arne Bettecken, Thomas Siddiqui, Roman Franke, Andre Wienker, Thomas F. Hoeppner, Marc P. Krawczak, Michael |
author_sort | Fredrich, Broder |
collection | PubMed |
description | Massively parallel DNA sequencing of clinical samples holds great promise for the gene-based diagnosis of human inherited diseases because it allows rapid detection of putatively causative mutations at genome-wide level. Without additional evidence complementing their initial bioinformatics evaluation, however, the clinical relevance of such candidate genetic variants often remains unclear. In consequence, dedicated ‘matching’ services have been established in recent years that aim at the discovery of other, comparable case reports to facilitate individual diagnoses. However, legal concerns have been raised about the global sharing of genetic data, particularly in Europe where the recently enacted General Data Protection Regulation EU-2016/679 classifies genetic data as highly sensitive. Hence, unrestricted sharing of genetic data from clinical cases on platforms outside the national jurisdiction increasingly may be perceived as problematic. To allow collaborative data producers, particularly large consortia of diagnostic laboratories, to acknowledge these concerns while still practicing efficient case matching internally, novel tools are required. To this end, we developed VarWatch, an easy-to-deploy and highly scalable case matching software that provides users with comprehensive programmatic tools and a user-friendly interface to fulfil said purpose. |
format | Online Article Text |
id | pubmed-6483337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64833372019-05-09 VarWatch—A stand-alone software tool for variant matching Fredrich, Broder Schmöhl, Marcus Junge, Olaf Gundlach, Sven Ellinghaus, David Pfeufer, Arne Bettecken, Thomas Siddiqui, Roman Franke, Andre Wienker, Thomas F. Hoeppner, Marc P. Krawczak, Michael PLoS One Research Article Massively parallel DNA sequencing of clinical samples holds great promise for the gene-based diagnosis of human inherited diseases because it allows rapid detection of putatively causative mutations at genome-wide level. Without additional evidence complementing their initial bioinformatics evaluation, however, the clinical relevance of such candidate genetic variants often remains unclear. In consequence, dedicated ‘matching’ services have been established in recent years that aim at the discovery of other, comparable case reports to facilitate individual diagnoses. However, legal concerns have been raised about the global sharing of genetic data, particularly in Europe where the recently enacted General Data Protection Regulation EU-2016/679 classifies genetic data as highly sensitive. Hence, unrestricted sharing of genetic data from clinical cases on platforms outside the national jurisdiction increasingly may be perceived as problematic. To allow collaborative data producers, particularly large consortia of diagnostic laboratories, to acknowledge these concerns while still practicing efficient case matching internally, novel tools are required. To this end, we developed VarWatch, an easy-to-deploy and highly scalable case matching software that provides users with comprehensive programmatic tools and a user-friendly interface to fulfil said purpose. Public Library of Science 2019-04-25 /pmc/articles/PMC6483337/ /pubmed/31022234 http://dx.doi.org/10.1371/journal.pone.0215618 Text en © 2019 Fredrich 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 Fredrich, Broder Schmöhl, Marcus Junge, Olaf Gundlach, Sven Ellinghaus, David Pfeufer, Arne Bettecken, Thomas Siddiqui, Roman Franke, Andre Wienker, Thomas F. Hoeppner, Marc P. Krawczak, Michael VarWatch—A stand-alone software tool for variant matching |
title | VarWatch—A stand-alone software tool for variant matching |
title_full | VarWatch—A stand-alone software tool for variant matching |
title_fullStr | VarWatch—A stand-alone software tool for variant matching |
title_full_unstemmed | VarWatch—A stand-alone software tool for variant matching |
title_short | VarWatch—A stand-alone software tool for variant matching |
title_sort | varwatch—a stand-alone software tool for variant matching |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483337/ https://www.ncbi.nlm.nih.gov/pubmed/31022234 http://dx.doi.org/10.1371/journal.pone.0215618 |
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