JOBS cell type specific eQTL summary statistics

This repository summarizes sc-eQTL results generated using the JOBS framework. We conducted a joint analysis combining bulk whole blood eQTLs from eQTLGen with 14 cell type-specific eQTLs derived from the OneK1K dataset. Each file contains the following information: gene name, Ensembl gene ID, SNP ID (hg38), SNP ID (hg19), reference allele (assessed allele), alternative allele, effect size, standard deviation of the effect size, and p-value. If you use this dataset, please cite the following publication: Wang et al., An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment, Cell Genomics (2025), https://doi.org/10.1016/j.xgen.2025.100820本仓库汇总了基于JOBS框架生成的单细胞表达数量性状基因座（single-cell eQTL, sc-eQTL）分析结果。本研究联合分析了来自eQTLGen的全血批量eQTL数据，以及源自OneK1K数据集的14种细胞类型特异性eQTL数据。 每份文件包含以下信息：基因名称、Ensembl基因ID、单核苷酸多态性（Single Nucleotide Polymorphism, SNP）ID（hg38版本）、SNP ID（hg19版本）、参考等位基因（评估等位基因）、替代等位基因、效应量、效应量的标准差以及p值。 若您使用本数据集，请引用以下文献：Wang 等. 单细胞eQTL图谱解析自身免疫病基因并鉴定新型治疗药物类别. 细胞基因组学（Cell Genomics）, 2025. DOI: 10.1016/j.xgen.2025.100820