VarWatch

VarWatch matches and monitors genetic variants, especially variants of unknown significance (VUS) identified by high-throughput sequencing, to support variant interpretation and case aggregation.


Key Features:

  • Variant matching and registration: Registers VUS and identifies potential matches to other case descriptions by comparing entries within its register and against external databases.
  • Continuous monitoring: Continuously monitors registered variants to detect new matches or additional evidence relevant to variant interpretation.
  • Cross-referencing: Cross-references case descriptions with external databases and an internal register to facilitate discovery of comparable cases.
  • Programmatic tools: Provides programmatic tools to perform internal case matching and automated comparison workflows.
  • Scalability: Designed to scale to large consortia of diagnostic laboratories and collaborative data producers.

Scientific Applications:

  • Gene-based diagnosis: Enables genome-wide detection and evaluation of putatively causative mutations from high-throughput sequencing for inherited human diseases.
  • Case aggregation: Facilitates discovery of comparable case reports to support individual patient diagnoses.
  • Clinical interpretation of VUS: Supports assessment and re-evaluation of the clinical relevance of variants of unknown significance.

Methodology:

Registers and continuously monitors VUS, cross-references cases against external databases and an internal register, and performs internal case matching while accommodating privacy and legal constraints such as the General Data Protection Regulation (EU-2016/679).

Topics

Collections

Details

Tool Type:
command-line tool
Programming Languages:
Java
Added:
1/20/2021
Last Updated:
5/21/2021

Operations

Publications

Fredrich B, Schmöhl M, Junge O, Gundlach S, Ellinghaus D, Pfeufer A, Bettecken T, Siddiqui R, Franke A, Wienker TF, Hoeppner MP, Krawczak M. VarWatch—A stand-alone software tool for variant matching. PLOS ONE. 2019;14(4):e0215618. doi:10.1371/journal.pone.0215618. PMID:31022234. PMCID:PMC6483337.

PMID: 31022234
PMCID: PMC6483337
Funding: - Bundesministerium für Bildung und Forschung: 01EK1506