EmVClass

EmVClass manages curated variant data from the Emory Genetics Laboratory (EGL) and tracks variant classification histories to support interpretation and communication of gene variant information in clinical genetics.


Key Features:

  • Variant Database Integration: Linked with a curated variant database that stores gene variants identified by EGL and is designed to integrate with other curated databases for information exchange.
  • Dynamic Variant Classification Tracking: Records changes in variant classifications over time and maintains a historical record of classification events for each variant.
  • Centralized Repository: Integrates variant information into a centralized database system that stores detailed records of each variant.
  • Inventory Management: Organizes and updates large sequence variant inventories to accommodate rapid identification of new variants.
  • Classification Communication: Captures classification updates and supports dissemination of evolving classifications to healthcare providers.
  • Queryable Records: Supports queries against the database to retrieve current and historical variant classification information.

Scientific Applications:

  • Clinical genetics laboratory data management: Supports organization and maintenance of extensive variant inventories generated in clinical testing.
  • Variant classification lifecycle tracking: Enables longitudinal tracking of reclassifications and evidence evolution for individual variants.
  • Data sharing and interpretation consistency: Facilitates exchange of curated variant information across clinical and research platforms to support consistent variant interpretation.

Methodology:

EmVClass integrates variant information into a centralized, curated database that stores detailed variant records, tracks classification history, and supports database queries.

Topics

Collections

Details

Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
9/26/2017
Last Updated:
6/16/2020

Operations

Publications

Bean LJ, Tinker SW, da Silva C, Hegde MR. Free the Data: One Laboratory's Approach to Knowledge-Based Genomic Variant Classification and Preparation for EMR Integration of Genomic Data. Human Mutation. 2013;34(9):1183-1188. doi:10.1002/humu.22364. PMID:23757202.

Documentation