VarGen

VarGen automates retrieval, integration, and annotation of genetic variants from public databases to identify and characterize disease-associated variants.


Key Features:

  • Automated Data Retrieval: Retrieves variant data from OMIM, FANTOM5, GTEx, and the GWAS catalog.
  • Data Integration: Compiles and integrates retrieved variant datasets into a unified resource for downstream analysis.
  • Customizable Input: Accepts an OMIM morbid ID and optional parameters such as lists of tissues or GWAS traits to focus queries.
  • Variant Annotation: Annotates variants using aggregated data from the integrated databases to assess potential disease relevance.

Scientific Applications:

  • Variant–disease relationship analysis: Aggregates and annotates disease-related variants to support analysis of variant–disease associations.
  • Hypothesis generation and testing: Automates data retrieval and annotation across public databases to accelerate hypothesis generation and testing in genetic research.
  • Genetic disorder studies: Enables focused investigation of genetic disorders using OMIM morbid IDs and tissue or GWAS trait filters.
  • Disease mechanism and target discovery: Identifies candidate variants that may inform disease mechanisms and therapeutic target discovery.

Methodology:

Integrates and annotates variant data from multiple public databases using an OMIM morbid ID as input.

Topics

Details

License:
MIT
Programming Languages:
R
Added:
1/14/2020
Last Updated:
1/16/2021

Operations

Publications

Molitor C, Brember M, Mohareb F. VarGen: an R package for disease-associated variant discovery and annotation. Bioinformatics. 2019;36(8):2626-2627. doi:10.1093/bioinformatics/btz930. PMID:31834354.

PMID: 31834354
Funding: - European Union’s Horizon 2020: GA 818110