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

The impact of cell type and context-dependent regulatory variants on human immune traits.
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DOI:
10.1186/s13059-021-02334-x
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发表时间:
2021-04-29
期刊:
影响因子:
12.3
通讯作者:
Li YI
Li YI
中科院分区:
生物学1区
文献类型:
--
作者:
Mu Z;Wei W;Fair B;Miao J;Zhu P;Li YI

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使用全基因组关联研究(GWAS)鉴定的绝大多数性状相关变异是非编码的,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是无法用调节性数量性状基因座(QTL)来解释的。我们进行了全面的表征GWAS基因座影响人类免疫性状的假定机制。通过协调四个主要的免疫QTL研究,我们确定了26,271个表达QTL(eQTL)和23,121个剪接QTL(sQTL),跨越18种免疫细胞类型。我们对来自72个GWAS的QTL和性状相关基因座的共定位分析表明,免疫细胞中RNA表达和剪接的遗传效应与40.4%的GWAS免疫相关性状基因座共定位,在许多情况下,与以前的研究相比,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,平均与14%的不与eQTL共定位的所有GWAS位点共定位。相比之下,我们发现,细胞类型特异性的eQTL,和eQTL的小效应大小贡献很少新的共定位。为了研究60%的GWAS基因座仍然无法解释,我们收集了来自类风湿性关节炎和健康对照的H3 K27 ac CUT&Tag数据,并发现了来自不同疾病背景的免疫细胞之间的大规模差异,包括与无法解释的GWAS基因座重叠的区域。总而言之,我们的工作支持RNA剪接作为免疫性状遗传效应的重要介导者,并表明我们必须扩大我们在疾病背景下的调控过程的研究,以改善尚未解释的GWAS基因座的功能解释。在线版本包含补充材料,可在(10.1186/s13059-021-02334-x)获得。
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). 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. 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. The online version contains supplementary material available at (10.1186/s13059-021-02334-x).
遗传对人体组织基因表达的影响。
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影响因子: 30.8
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