VCF.Filter: interactive prioritization of disease-linked genetic variants from sequencing data

Area of Science:

• Genomics
• Bioinformatics
• Medical Genetics

Background:

• Next-generation sequencing (NGS) accelerates the diagnosis of rare genetic diseases by linking genetic variants to diseases.
• Analysis of genome, exome, and panel sequencing data relies on variant lists in VCF format.
• Medical geneticists manually filter and annotate these variants for disease relevance or clinical diagnostics.

Purpose of the Study:

• To develop an interactive tool, VCF.Filter, for efficient variant filtering and annotation.
• To facilitate the search for disease-linked genetic variants.
• To provide a user-friendly interface for complex variant analysis.

Main Methods:

• Developed VCF.Filter, a standalone Java program with a graphical user interface.
• Implemented broad filtering criteria definition and pre-configured common workflows (trio, cohort analysis).
• Supported custom annotations and filtering criteria for advanced analyses.

Main Results:

• VCF.Filter enables interactive variant filtering and annotation from VCF files.
• The tool facilitates the identification of disease-linked variants.
• All filtering steps are documented, ensuring traceability in variant prioritization.

Conclusions:

• VCF.Filter streamlines the process of identifying disease-causing variants from NGS data.
• The tool enhances the efficiency of rare disease diagnosis and genetic research.
• VCF.Filter is an open-source, freely available resource for the scientific community.