VarCards: an integrated genetic and clinical database for coding variants in the human genome

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Genomic variant interpretation tools are fragmented across multiple online resources.
• This fragmentation poses challenges for clinicians, geneticists, and biologists in accessing comprehensive variant and gene information.

Purpose of the Study:

• To develop a unified database, VarCards, for efficient searching, browsing, and annotation of genomic variants.
• To integrate functional consequences, allele frequencies, disease associations, gene information, and drug-gene interactions for variants.

Main Methods:

• Generated all possible single nucleotide variants and cataloged insertion/deletion variants.
• Annotated variants using over 60 genomic data sources.
• Developed the VarCards database with an intuitive user interface.

Main Results:

• VarCards catalogs over 110 million single nucleotide variants and 1.2 million insertion/deletion variants.
• The database provides comprehensive annotations including functional effects, in silico predictions, allele frequencies, disease links, gene data, and drug-gene interactions.
• Successfully applied VarCards to interpret de novo mutations in autism spectrum disorders.

Conclusions:

• VarCards offers a centralized platform for genomic variant data.
• The database simplifies the process for researchers to prioritize candidate variations and genes.
• VarCards enhances the interpretation of genomic variants for clinical and research applications.