Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Science. 2022 Apr 8;376(6589):eabf3041. doi: 10.1126/science.abf3041.
The human immune system displays substantial variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing (scRNA-seq) data from 1,267,758 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we identified 26,597 independent cis-expression quantitative trait loci (eQTLs) and 990 trans-eQTLs, with most showing cell type-specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells that are transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to interindividual variation in immune function. Finally, using a Mendelian randomization approach, we identify the causal route by which 305 risk loci contribute to autoimmune disease at the cellular level. This work brings together genetic epidemiology with scRNA-seq to uncover drivers of interindividual variation in the immune system.
人类免疫系统在个体之间存在显著差异,导致自身免疫性疾病的易感性存在差异。我们展示了来自 982 名健康人类受试者的 1,267,758 个外周血单核细胞的单细胞 RNA 测序 (scRNA-seq) 数据。对于 14 种细胞类型,我们鉴定了 26,597 个独立的顺式表达数量性状基因座 (cis-eQTLs) 和 990 个反式 eQTLs,其中大多数表现出对基因表达具有细胞类型特异性的影响。随后,我们展示了 eQTLs 如何在从幼稚状态向记忆状态转变的 B 细胞中具有动态等位基因效应,并证明了常见的分离等位基因如何导致免疫功能的个体间差异。最后,我们使用孟德尔随机化方法,确定了 305 个风险基因座在细胞水平上导致自身免疫性疾病的因果途径。这项工作将遗传流行病学与 scRNA-seq 相结合,揭示了免疫系统个体间差异的驱动因素。