Single-cell eQTL mapping reveals cell-type-specific genetic regulation in lung cancer

Genome-wide association studies (GWASs) 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 expression quantitative trait locus (eQTL) analyses. Here, we present the largest single-cell eQTL (sc-eQTL) atlas of human lung tissue to date, profiling 222 donors using multiplexed single-cell RNA sequencing (scRNA-seq). We identified 4,341 independent eQTLs across 17 cell types, with over 60% of sc-eQTLs and 51% of eGenes being cell-type specific, and fewer than 52% were detectable in paired bulk datasets. Integration with GWASs 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 non-small cell lung cancer (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.

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Publication Details

Journal
Cell Genomics
Published
2025-12-11
DOI
https://doi.org/10.1016/j.xgen.2025.101100
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-cell eQTL mapping reveals cell-type-specific genetic regulation in lung cancer

Hongbing Shen, Hongxia Ma, Lijun Bian, Mengping Wang et al.
Cell Genomics
Single-cell and spatial transcriptomics
article

Single-cell eQTL mapping reveals cell-type-specific genetic regulation in lung cancer

Hongbing Shen, Hongxia Ma, Lijun Bian, Mengping Wang, Jin Chen, Chenying Jin, Yuanlin Mou, Chang Zhang, Guangfu Jin, Linnan Gong, Shuying Miao, Huimin Ma, Yating Fu, Erbao Zhang, Xinyuan Ge, Xiaoyang Ma, Shihao Wu, Gang Chen, Cheng Zhang, Meng Zhu, Yi Wang, Jiaying Cai, Yong Dai, Juncheng Dai, Zhibin Hu
article en

Abstract

Genome-wide association studies (GWASs) 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 expression quantitative trait locus (eQTL) analyses. Here, we present the largest single-cell eQTL (sc-eQTL) atlas of human lung tissue to date, profiling 222 donors using multiplexed single-cell RNA sequencing (scRNA-seq). We identified 4,341 independent eQTLs across 17 cell types, with over 60% of sc-eQTLs and 51% of eGenes being cell-type specific, and fewer than 52% were detectable in paired bulk datasets. Integration with GWASs 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 non-small cell lung cancer (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.

Cell GenomicsVol. 6(3)
Nanjing Municipal Center for Disease Control And Prevention (CN), Nanjing Chest Hospital (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, National Science and Technology Major Project
Openalex Percentile: Top 64%
Single-cell and spatial transcriptomics
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