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多种因果变异是人类遗传关联的基础。

Multiple causal variants underlie genetic associations in humans.

机构信息

Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.

Department of Pathology, School of Medicine, Stanford University, Stanford, CA 94305, USA.

出版信息

Science. 2022 Mar 18;375(6586):1247-1254. doi: 10.1126/science.abj5117. Epub 2022 Mar 17.

Abstract

Associations between genetic variation and traits are often in noncoding regions with strong linkage disequilibrium (LD), where a single causal variant is assumed to underlie the association. We applied a massively parallel reporter assay (MPRA) to functionally evaluate genetic variants in high, local LD for independent cis-expression quantitative trait loci (eQTL). We found that 17.7% of eQTLs exhibit more than one major allelic effect in tight LD. The detected regulatory variants were highly and specifically enriched for activating chromatin structures and allelic transcription factor binding. Integration of MPRA profiles with eQTL/complex trait colocalizations across 114 human traits and diseases identified causal variant sets demonstrating how genetic association signals can manifest through multiple, tightly linked causal variants.

摘要

遗传变异与性状之间的关联通常存在于强连锁不平衡(LD)的非编码区域,其中假定单个因果变异是关联的基础。我们应用大规模平行报告基因检测(MPRA)对高局部 LD 的遗传变异进行功能评估,以确定独立的顺式表达数量性状基因座(eQTL)。我们发现,17.7%的 eQTL 在紧密 LD 下表现出不止一种主要等位基因效应。检测到的调节变异在激活染色质结构和等位转录因子结合方面高度富集和特异性。将 MPRA 图谱与 114 个人类性状和疾病的 eQTL/复杂性状共定位进行整合,确定了因果变异组,展示了遗传关联信号如何通过多个紧密连锁的因果变异表现出来。

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