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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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0215618
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spelling 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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