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JOBS cell type specific eQTL summary statistics

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/15097676
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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, 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
创建时间:
2025-03-27
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