Abstract
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.
Author supplied keywords
- Activity-by-contact (ABC)
- CRISPR (clustered regularly interspaced short palindromic repeats)
- DNase-seq
- Expression quantitative trait locus (eQTL)
- Functional annotation
- Gene regulation
- Genome-wide association study (GWAS)
- Massively parallel reporter assay (MPRA)
- Regulatory elements
- Single guide RNA (sgRNA)
- Transcription factor (TF)
- Variant scoring
Cite
CITATION STYLE
Breeze, C. E., Haugen, E., Gutierrez-Arcelus, M., Yao, X., Teschendorff, A., Beck, S., … Berndt, S. I. (2024). FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases. Genome Biology, 25(1). https://doi.org/10.1186/s13059-023-03126-1
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