scTraitReg 数据库发布：单细胞多组学解析性状相关转录因子 eRegulon
scTraitReg: a single-cell multi-omic database of trait-relevant transcription factor eRegulons
scTraitReg 是一个在单细胞分辨率上收录性状相关转录因子 eRegulon（转录因子及其靶基因与关联顺式调控区）的数据库，整合了 655 套经整理的 GWAS 汇总统计（覆盖 122 个 MeSH 疾病词条）与 111 套在同一细胞中同时测定 RNA 和染色质可及性的人单细胞多组学数据。资源覆盖 34 种组织、252 种细胞类型、2 081 538 个细胞和 2208 对 GWAS 与单细胞分析配对，共得到 886 个调控因子的 2 840 939 条转录因子与细胞类型记录。
来源：Nucleic Acids Research · doi.org
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/.