Cited by 0Genomics and Chromatin DynamicsGenetic Associations and EpidemiologySingle-cell and spatial transcriptomics

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

Open access
Chen, Haoran, Liu, Yin, Rui, Xue, Li, Shengxian, Sun, Lingna, Xiao, Guoli, Tang, Haozhe, Sun, Yanqun +2 more·2026·Nucleic Acids Research

Abstract

Genome-wide association studies (GWAS) identify loci associated with human diseases and disease-related traits, but the regulators and cellular contexts linked to these signals remain difficult to resolve. We present scTraitReg, a database of trait-relevant transcription factor (TF) eRegulons—TFs with their target genes and linked cis-regulatory regions—at single-cell resolution. scTraitReg integrates 655 sets of curated GWAS summary statistics covering 122 Medical Subject Headings (MeSH) disease terms with 111 human single-cell multi-omic datasets profiling RNA and chromatin accessibility in the same cells. The resource spans 34 tissues, 252 cell types, 2 081 538 cells, and 2208 curated GWAS—single-cell analysis pairs. Across these analyses, it contains 2 840 939 TF–cell-type records for 886 regulators; 67 666 records met all three criteria—cell-type specificity, genetic relevance, and the trait-associated regulon score—and were included as candidate trait-relevant eRegulon records. Each record links to the TF—target regulatory network with its cis-regulatory regions, cell-type-resolved evidence, per-cell regulon module scores, and target-gene enrichment, all available as downloadable tables. Users can search by disease, tissue, cell type, or regulator and examine these associations through interactive visualizations. scTraitReg thus provides a searchable and reusable resource linking genetic associations to cell-type-specific regulatory programs, and is freely available at https://www.sctraitreg.bio/.

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Registry

Crossref · 10.1093/nar/gkag1017

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Authors
Chen, H., Liu, Y., Rui, X., Li, S., Sun, L., Xiao, G., Tang, H., Sun, Y., Guan, X., & Cao, C.
Affiliations
  • Nanjing Medical University (CN)
  • Nanjing University of Chinese Medicine (CN)
  • Second Affiliated Hospital of Nanjing Medical University (CN)
Venue
Nucleic Acids Research
Published
2026-10-22
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W7223182884
Cited by
0
References
53
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (62471240, 62231013)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
single-cell multi-omics, GWAS summary statistics, cis-regulatory elements, chromatin accessibility, cell type-specific gene regulation, disease characteristics, regulatory networks, single-cell RNA sequencing

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