表达数量性状基因座
生物
肺癌
遗传关联
全基因组关联研究
基因
数量性状位点
遗传变异
遗传学
基因座(遗传学)
计算生物学
背景(考古学)
肺癌易感性
单核苷酸多态性
基因型
基因表达
人口
遗传倾向
基因表达谱
免疫系统
基因表达调控
遗传变异
候选基因
细胞
特质
癌症
癌症研究
核糖核酸
生物信息学
肺
人类遗传学
表型
作者
Yating Fu,Yi Wang,Chen Jin,Chang Zhang,Jiaying Cai,Linnan Gong,Chenying Jin,Gang Chen,Yuanlin Mou,Caochen Zhang,Shihao Wu,Xinyuan Ge,Yahui Dai,Sunan Miao,Huimin Ma,Xiaoyang Ma,Mengping Wang,Lijun Bian,Erbao Zhang,Juncheng Dai
出处
期刊:Cell genomics
[Elsevier BV]
日期:2025-12-11
卷期号:6 (3): 101100-101100
被引量:2
标识
DOI:10.1016/j.xgen.2025.101100
摘要
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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