生物
表达数量性状基因座
数量性状位点
疾病
特质
遗传学
电池类型
计算生物学
细胞
进化生物学
基因
内科学
单核苷酸多态性
基因型
医学
计算机科学
程序设计语言
作者
Heini M. Natri,Christina B. Azodi,Lance Peter,Chase J. Taylor,Sagrika Chugh,Robert Kendle,Mei-I Chung,David K. Flaherty,Brittany K. Matlock,Carla L. Calvi,Timothy S. Blackwell,Lorraine B. Ware,Matthew Bacchetta,Rajat Walia,Ciara M. Shaver,Jonathan A. Kropski,Davis J. McCarthy,Nicholas E. Banovich
出处
期刊:Nature Genetics
[Springer Nature]
日期:2024-03-28
卷期号:56 (4): 595-604
被引量:4
标识
DOI:10.1038/s41588-024-01702-0
摘要
Abstract Common genetic variants confer substantial risk for chronic lung diseases, including pulmonary fibrosis. Defining the genetic control of gene expression in a cell-type-specific and context-dependent manner is critical for understanding the mechanisms through which genetic variation influences complex traits and disease pathobiology. To this end, we performed single-cell RNA sequencing of lung tissue from 66 individuals with pulmonary fibrosis and 48 unaffected donors. Using a pseudobulk approach, we mapped expression quantitative trait loci (eQTLs) across 38 cell types, observing both shared and cell-type-specific regulatory effects. Furthermore, we identified disease interaction eQTLs and demonstrated that this class of associations is more likely to be cell-type-specific and linked to cellular dysregulation in pulmonary fibrosis. Finally, we connected lung disease risk variants to their regulatory targets in disease-relevant cell types. These results indicate that cellular context determines the impact of genetic variation on gene expression and implicates context-specific eQTLs as key regulators of lung homeostasis and disease.
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