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.

Details

Title
FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases
Author
Breeze, Charles E; Haugen, Eric; Gutierrez-Arcelus, María; Yao, Xiaozheng; Teschendorff, Andrew; Beck, Stephan; Dunham, Ian; Stamatoyannopoulos, John; Franceschini, Nora; Machiela, Mitchell J; Berndt, Sonja I
Pages
1-13
Section
Method
Publication year
2024
Publication date
2024
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2914287165
Copyright
© 2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.