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细胞类型和依赖于上下文的调控变体对人类免疫特征的影响。

The impact of cell type and context-dependent regulatory variants on human immune traits.

机构信息

Committee on Genetics, Genomics & Systems Biology, University of Chicago, Chicago, IL, USA.

Department of Clinical Immunology, Xijing Hospital, Xi'an, China.

出版信息

Genome Biol. 2021 Apr 29;22(1):122. doi: 10.1186/s13059-021-02334-x.

Abstract

BACKGROUND

The vast majority of trait-associated variants identified using genome-wide association studies (GWAS) are noncoding, and therefore assumed to impact gene regulation. However, the majority of trait-associated loci are unexplained by regulatory quantitative trait loci (QTLs).

RESULTS

We perform a comprehensive characterization of the putative mechanisms by which GWAS loci impact human immune traits. By harmonizing four major immune QTL studies, we identify 26,271 expression QTLs (eQTLs) and 23,121 splicing QTLs (sQTLs) spanning 18 immune cell types. Our colocalization analyses between QTLs and trait-associated loci from 72 GWAS reveals that genetic effects on RNA expression and splicing in immune cells colocalize with 40.4% of GWAS loci for immune-related traits, in many cases increasing the fraction of colocalized loci by two fold compared to previous studies. Notably, we find that the largest contributors of this increase are splicing QTLs, which colocalize on average with 14% of all GWAS loci that do not colocalize with eQTLs. By contrast, we find that cell type-specific eQTLs, and eQTLs with small effect sizes contribute very few new colocalizations. To investigate the 60% of GWAS loci that remain unexplained, we collect H3K27ac CUT&Tag data from rheumatoid arthritis and healthy controls, and find large-scale differences between immune cells from the different disease contexts, including at regions overlapping unexplained GWAS loci.

CONCLUSION

Altogether, our work supports RNA splicing as an important mediator of genetic effects on immune traits, and suggests that we must expand our study of regulatory processes in disease contexts to improve functional interpretation of as yet unexplained GWAS loci.

摘要

背景

通过全基因组关联研究(GWAS)发现的绝大多数与性状相关的变异是非编码的,因此被认为会影响基因调控。然而,大多数与性状相关的基因座不能被调控数量性状基因座(QTL)所解释。

结果

我们全面描述了 GWAS 基因座影响人类免疫性状的潜在机制。通过协调四项主要的免疫 QTL 研究,我们鉴定了 18 种免疫细胞类型中的 26271 个表达 QTL(eQTL)和 23121 个剪接 QTL(sQTL)。我们在 72 项 GWAS 的 QTL 和与性状相关的基因座之间进行了共定位分析,结果表明,免疫细胞中 RNA 表达和剪接的遗传效应与 40.4%的免疫相关性状的 GWAS 基因座相吻合,在许多情况下,与之前的研究相比,共定位基因座的比例增加了两倍。值得注意的是,我们发现这种增加的最大贡献者是剪接 QTL,它们与平均 14%的所有 GWAS 基因座相吻合,而这些基因座与 eQTL 不吻合。相比之下,我们发现细胞类型特异性的 eQTL 和具有小效应大小的 eQTL 很少有新的共定位。为了研究仍未解释的 60%的 GWAS 基因座,我们从类风湿关节炎和健康对照中收集了 H3K27ac CUT&Tag 数据,发现不同疾病背景下的免疫细胞之间存在大规模差异,包括在与未解释的 GWAS 基因座重叠的区域。

结论

总的来说,我们的工作支持 RNA 剪接作为遗传效应影响免疫性状的重要介质,并表明我们必须在疾病背景下扩展我们对调控过程的研究,以提高对尚未解释的 GWAS 基因座的功能解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046c/8082814/19cd083fc253/13059_2021_2334_Fig1_HTML.jpg

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