Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy.
Laboratory of Genetics and Genomics, National Institute on Aging, National Institute of Health, Baltimore, Maryland.
Wiley Interdiscip Rev RNA. 2018 Jul;9(4):e1474. doi: 10.1002/wrna.1474. Epub 2018 Mar 26.
Genome Wide Association Studies (GWAS) have mapped thousands of genetic variants associated with complex disease risk and regulating quantitative traits, thus exploiting an unprecedented high-resolution genetic characterization of the human genome. A small fraction (3.7%) of the identified associations is located in untranslated regions (UTRs), and the molecular mechanism has been elucidated for few of them. Genetic variations at UTRs may modify regulatory elements affecting the interaction of the UTRs with proteins and microRNAs. The overall functional consequences include modulation of messenger RNA (mRNA) transcription, secondary structure, stability, localization, translation, and access to regulators like microRNAs (miRNAs) and RNA-binding proteins (RBPs). Alterations of these regulatory mechanisms are known to modify molecular pathways and cellular processes, potentially leading to disease processes. Here, we analyze some examples of genetic risk variants mapping in the UTR regulatory elements. We describe a recently identified genetic variant localized in the 3'UTR of the TNFSF13B gene, associated with autoimmunity risk and responsible of an increased stability and translation of TNFSF13B mRNA. We discuss how the correct use and interpretation of public GWAS repositories could lead to a better understanding of etiopathogenetic mechanisms and the generation of robust biological hypothesis as starting point for further functional studies. This article is categorized under: RNA Structure and Dynamics > RNA Structure, Dynamics and Chemistry RNA Evolution and Genomics > Computational Analyses of RNA RNA in Disease and Development > RNA in Disease.
全基因组关联研究 (GWAS) 已经绘制了数千个与复杂疾病风险和调节数量性状相关的遗传变异,从而对人类基因组进行了前所未有的高分辨率遗传特征分析。已确定的关联中只有一小部分 (3.7%) 位于非翻译区 (UTR),其中少数的分子机制已经阐明。UTR 中的遗传变异可能会改变调节元件,影响 UTR 与蛋白质和 microRNAs 的相互作用。总的功能后果包括调节信使 RNA (mRNA) 的转录、二级结构、稳定性、定位、翻译,以及与 microRNAs (miRNAs) 和 RNA 结合蛋白 (RBPs) 等调节剂的相互作用。这些调节机制的改变已知会改变分子途径和细胞过程,可能导致疾病过程。在这里,我们分析了一些映射到 UTR 调节元件的遗传风险变异的例子。我们描述了一个最近在 TNFSF13B 基因的 3'UTR 中发现的遗传变异,它与自身免疫风险相关,并导致 TNFSF13B mRNA 的稳定性和翻译增加。我们讨论了如何正确使用和解释公共 GWAS 存储库,可以更好地理解发病机制,并生成稳健的生物学假设,作为进一步功能研究的起点。本文属于以下类别:RNA 结构和动力学>RNA 结构、动态和化学RNA 进化和基因组学>RNA 的计算分析RNA 在疾病和发育中的作用>RNA 在疾病中的作用。