scTraitReg: a single-cell multi-omic database of trait-relevant transcription factor eRegulons.

scTraitReg links 67,666 trait-relevant eRegulon records to specific cell types across 34 tissues and 252 cell types, integrating GWAS and single-cell multi-omic data.

• Why it matters: Understanding the cellular contexts and regulators underlying GWAS signals remains challenging, limiting insights into disease mechanisms and potential therapeutic targets.
• What they did: The database integrates 655 GWAS summary statistic sets with 111 human single-cell multi-omic datasets, resulting in over 2.8 million TF-cell-type records and identifying 67,666 candidate trait-relevant eRegulons based on specific criteria.
• The result: scTraitReg provides a comprehensive, searchable resource linking genetic associations to cell-type-specific regulatory networks, enabling researchers to explore disease-related regulatory programs through downloadable data and interactive visualizations.