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...
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doaj-1c9f50136d8a459098b9a522535bc3632021-03-03T20:42:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01144e021561810.1371/journal.pone.0215618VarWatch-A stand-alone software tool for variant matching.Broder FredrichMarcus SchmöhlOlaf JungeSven GundlachDavid EllinghausArne PfeuferThomas BetteckenRoman SiddiquiAndre FrankeThomas F WienkerMarc P HoeppnerMichael KrawczakMassively 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.https://doi.org/10.1371/journal.pone.0215618 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Broder Fredrich Marcus Schmöhl Olaf Junge Sven Gundlach David Ellinghaus Arne Pfeufer Thomas Bettecken Roman Siddiqui Andre Franke Thomas F Wienker Marc P Hoeppner Michael Krawczak |
spellingShingle |
Broder Fredrich Marcus Schmöhl Olaf Junge Sven Gundlach David Ellinghaus Arne Pfeufer Thomas Bettecken Roman Siddiqui Andre Franke Thomas F Wienker Marc P Hoeppner Michael Krawczak VarWatch-A stand-alone software tool for variant matching. PLoS ONE |
author_facet |
Broder Fredrich Marcus Schmöhl Olaf Junge Sven Gundlach David Ellinghaus Arne Pfeufer Thomas Bettecken Roman Siddiqui Andre Franke Thomas F Wienker Marc P Hoeppner Michael Krawczak |
author_sort |
Broder Fredrich |
title |
VarWatch-A stand-alone software tool for variant matching. |
title_short |
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_sort |
varwatch-a stand-alone software tool for variant matching. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2019-01-01 |
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. |
url |
https://doi.org/10.1371/journal.pone.0215618 |
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