Cell GenomicsGeneticsPeer-reviewed journal article
Single-Cell eQTL Mapping Reveals Cell Type-Specific Genetic Regulation in Lung Cancer
Yating FuiD, Yi WangiD, Chen Jin, Chang ZhangiD, Jiaying CaiiD, Linnan GongiD, Chenying Jin, Gang CheniD, Yuanlin MouiD, Caochen Zhang, Shihao WuiD, Xinyuan Ge, Yahui Dai, Sunan Miao, Huimin MaiD, Xiaoyang MaiD, Mengping WangiD, Lijun BianiD, Erbao ZhangiD, Juncheng DaiiD, Zhibin HuiD, Guangfu JiniD, Meng ZhuiD, Hongbing SheniD, Hongxia MaiD
Abstract
Genome-wide association studies (GWAS) have identified over 50 lung cancer risk loci; however, the precise cellular context of these genetic mechanisms remains unclear due to limitations in bulk tissue eQTL analyses. Here, we present the largest single-cell eQTL atlas of human lung tissue to date, profiling 222 donors using multiplexed scRNA-seq. We identified 16,785 eQTLs across 17 cell types, with over 90% of sc-eQTLs and 59% eGene being cell-type-specific, and fewer than 23% were detectable in paired bulk datasets. Integration with GWAS for non-small cell lung cancer highlighted epithelial and immune cells as key contributors to genetic susceptibility, identifying 28 candidate genes within known risk loci and 24 in novel regions. Notably, 47% of established NSCLC susceptibility loci exhibited cell-type-specific pleiotropic genetic regulation. This study provides a valuable resource of lung sc-eQTLs and illuminates how genetic variation modulates gene expression in a cell-type-specific fashion, contributing to lung cancer susceptibility.
- organism: human
- assay: scRNA-seq
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
- 8
- FWCI
- 4.68
- Field percentile
- top 4%
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