scRiskDB: a single-cell epigenomic resource linking complex traits to regulatory mechanisms across human tissues.

Authors

Gefei Zhao, Xianfeng Ping, Binbin Lai

Published in

Database : the journal of biological databases and curation. Volume 2026. Jan 15, 2026.

Abstract

Understanding the regulatory impact of non-coding genetic variants remains a major challenge in human genetics. Here, we present scRiskDB, a comprehensive and user-friendly database that maps genetic risk variants to their downstream regulatory elements, target genes, and relevant cell types at single-cell resolution. By integrating genome-wide association studies (GWAS) with single-cell datasets across 45 tissues and developmental stages, scRiskDB implements a variant-to-function framework that systematically outlines potential regulatory cascades from single nucleotide variants to cell-specific risk mechanisms. This multi-layered design allows users to explore trait-associated regulatory architectures across cell types and developmental stages. The platform provides interactive, multi-level visualizations and curated results, facilitating hypothesis generation and mechanistic insights into disease aetiology.

PMID:
42554202
Bibliographic data and abstract were imported from PubMed on 05 Aug 2026.

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