VariantDB: a flexible annotation and filtering portal for next generation sequencing data

Area of Science:

• Bioinformatics
• Genomics
• Medical Genetics

Background:

• Next-generation sequencing (NGS) generates numerous genetic variants, making interpretation complex and time-consuming.
• Existing web tools like Galaxy simplify variant list generation but lack advanced annotation and filtering for medical genomics.

Purpose of the Study:

• To develop VariantDB, an interactive web-based platform for efficient annotation and filtering of genetic variants.
• To facilitate the identification of causative variants in medical genomics by providing comprehensive annotation and flexible filtering options.

Main Methods:

• VariantDB integrates automatic annotation of variants with allele frequencies, functional impact, and pathogenicity predictions.
• The platform incorporates pathway information for enhanced variant interpretation.
• Users can filter variants based on all annotations and various inheritance models (dominant, recessive, de novo).

Main Results:

• VariantDB provides a streamlined workflow for annotating and filtering large variant datasets.
• The platform enables researchers to efficiently identify potentially causative variants for genetic diseases.
• Automated annotation and flexible filtering significantly reduce the labor involved in variant interpretation.

Conclusions:

• VariantDB enhances the process of variant interpretation in medical genomics.
• The platform offers a flexible and automated solution for analyzing NGS data.
• VariantDB is freely available, promoting wider accessibility for genomic research.