Nucleic Acids ResJClub
scGWAS-DB: an integrated database bridging GWAS to tissue-resolved single-cell contexts.
Nucleic Acids Research · · Journal Article
Zhu, Wang + more
Abstract ↗AI summary
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scGWAS-DB integrates 3,649 GWAS datasets with single-cell atlases across 74 human tissues and identifies 213,992 significant gene–cell-type triplets.
- Why it matters: Existing GWAS-to-single-cell resources do not support finding hub genes for trait–cell-type links, mapping gene–gene interaction topologies, or detecting shared genes across multiple traits.
- What they did: The database combines GWAS and single-cell RNA-seq across 1,713 cell types, then derives significant triplets and gene–gene interaction networks, including 821,480 interactions.
- The result: It distinguishes 584,944 co-occurrent and 7,365 mutual exclusive interaction patterns, revealing recurrent cellular signatures across diverse diseases and enabling hub gene/cell-type prioritization.
The findingWhy it mattersWhat they didThe result
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