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Translational Physiology: Emerging applications of genome-editing technology to examine functionality of GWAS-associated variants for complex traits

机译:翻译生理学:基因组编辑技术的新兴应用以检查GWAS相关变体的复杂性状功能

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摘要

Over the last decade, genome-wide association studies (GWAS) have propelled the discovery of thousands of loci associated with complex diseases. The focus is now turning toward the function of these association signals, determining the causal variant(s) among those in strong linkage disequilibrium, and identifying their underlying mechanisms, such as long-range gene regulation. Genome-editing techniques utilizing zinc-finger nucleases (ZFN), transcription activator-like effector nucleases (TALENs), and clustered regularly-interspaced short palindromic repeats with Cas9 nuclease (CRISPR-Cas9) are becoming the tools of choice to establish functionality for these variants, due to the ability to assess effects of single variants in vivo. This review will discuss examples of how these technologies have begun to aid functional analysis of GWAS loci for complex traits such as cardiovascular disease, Type 2 diabetes, cancer, obesity, and autoimmune disease. We focus on analysis of variants occurring within noncoding genomic regions, as these comprise the majority of GWAS variants, providing the greatest challenges to determining functionality, and compare editing strategies that provide different levels of evidence for variant functionality. The review describes molecular insights into some of these potentially causal variants and how these may relate to the pathology of the trait and look toward future directions for these technologies in post-GWAS analysis, such as base-editing.
机译:在过去的十年中,全基因组关联研究(GWAS)推动了与复杂疾病相关的数千个基因座的发现。现在的重点是转向这些关联信号的功能,确定那些在强连锁不平衡中的因果变异,并确定其潜在机制,例如远程基因调控。利用锌指核酸酶(ZFN),转录激活因子样效应子核酸酶(TALENs)和规则间隔的短回文重复序列与Cas9核酸酶(CRISPR-Cas9)进行基因组编辑技术正在成为为这些功能建立功能的选择工具变异体,因为能够评估单个变异体在体内的作用。这篇综述将讨论这些技术如何开始帮助GWAS基因座对复杂性状进行功能分析的实例,例如心血管疾病,2型糖尿病,癌症,肥胖症和自身免疫性疾病。我们专注于分析非编码基因组区域内发生的变体,因为它们构成了GWAS变体的大部分,为确定功能提出了最大的挑战,并比较了为变体功能提供不同证据水平的编辑策略。这篇综述描述了对某些潜在因果变体的分子见解,以及它们如何与性状的病理学相关,并展望了在GWAS后分析中这些技术的未来方向,例如基础编辑。

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