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FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases

  • Charles E. Breeze,
  • Eric Haugen,
  • María Gutierrez-Arcelus,
  • Xiaozheng Yao,
  • Andrew Teschendorff,
  • Stephan Beck,
  • Ian Dunham,
  • John Stamatoyannopoulos,
  • Nora Franceschini,
  • Mitchell J. Machiela,
  • Sonja I. Berndt

摘要

The majority of disease-associated variants identified through genome-wide association studies are located outside of protein-coding regions. Prioritizing candidate regulatory variants and gene targets to identify potential biological mechanisms for further functional experiments can be challenging. To address this challenge, we developed FORGEdb (https://forgedb.cancer.gov/; https://forge2.altiusinstitute.org/files/forgedb.html; and https://doi.org/10.5281/zenodo.10067458), a standalone and web-based tool that integrates multiple datasets, delivering information on associated regulatory elements, transcription factor binding sites, and target genes for over 37 million variants. FORGEdb scores provide researchers with a quantitative assessment of the relative importance of each variant for targeted functional experiments.