iVar, an Interpretation-Oriented Tool to Manage the Update and Revision of Variant Annotation and Classification

Area of Science:

• Genomics
• Bioinformatics
• Clinical Genetics

Background:

• Next Generation Sequencing (NGS) generates vast amounts of genetic data.
• Variant reinterpretation is complex due to continuous updates in genetic information.
• Robust data management is crucial for clinical genomics.

Purpose of the Study:

• To present iVar, a tool for unified management of genetic variants.
• To provide a user-friendly platform for organizing and reinterpreting sequencing data.
• To facilitate patient recontacting based on variant reinterpretation.

Main Methods:

• iVar accepts Variant Call Format (VCF) and annotation files.
• It unifies variant data from diverse sequencing technologies.
• Features include historical tracking of annotations and customizable search functions.

Main Results:

• Tested with 4171 VCF and 1463 annotation files.
• Created a database of 4166 samples and 22,569 unique variants.
• Demonstrated good performance in data collection and management for medium-throughput labs.

Conclusions:

• iVar offers a robust solution for managing and reinterpreting clinical genetic variants.
• The tool simplifies data organization, tracks changes, and aids in patient recontacting.
• iVar is a valuable asset for clinical genomics laboratories utilizing NGS.