Language
English
Publication Date
2-28-2026
Journal
Bioinformatics
DOI
10.1093/bioinformatics/btag013
PMID
41557842
PMCID
PMC12967215
PubMedCentral® Posted Date
1-20-2026
PubMedCentral® Full Text Version
Post-print
Abstract
Motivation: Methods for sharing gene regulatory information and knowledge on FAIR principles, particularly in the context of tissue-specific gene regulation, remain poorly defined and implemented, hampering discovery and clinical genetic diagnosis.
Results: We specified FAIR principles for tissue-specific gene regulatory information and knowledge; implemented them by developing a registry of regulatory elements and aggregating FAIR gene regulatory information from several major sources; developed computational tools that utilize these FAIR resources; and demonstrated their utility by associating gene regulatory variants with major subtypes of congenital heart disease.
Keywords
Humans, Genetic Variation, Computational Biology, Software, Databases, Genetic, Gene Regulatory Networks, Heart Defects, Congenital
Published Open-Access
yes
Recommended Citation
Yu, Keyang; Zhao, Haoquan; Wilderman, Andrea S; et al., "Aggregation of Gene Regulatory Information and Knowledge on Fair Principles Enables Discovery of Pathogenic Gene Regulatory Variants" (2026). Faculty, Staff and Students Publications. 7149.
https://digitalcommons.library.tmc.edu/baylor_docs/7149
Comments
Availability and implementation: Variant prioritization infrastructure tools are available in genboree node repository at https://genboree.org/verdaccio/#/. Detailed documentation is available at https://ldh.clinicalgenome.org/docs/ldh/overview.html#related-services. The code for use case analyses and free access variant data is available on Zenodo with DOI: https://doi.org/10.5281/zenodo.17833070.