State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China.
Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510060, China.
Nucleic Acids Res. 2021 Jan 8;49(D1):D1405-D1412. doi: 10.1093/nar/gkaa811.
Distinguishing the few disease-related variants from a massive number of passenger variants is a major challenge. Variants affecting RNA modifications that play critical roles in many aspects of RNA metabolism have recently been linked to many human diseases, such as cancers. Evaluating the effect of genetic variants on RNA modifications will provide a new perspective for understanding the pathogenic mechanism of human diseases. Previously, we developed a database called 'm6AVar' to host variants associated with m6A, one of the most prevalent RNA modifications in eukaryotes. To host all RNA modification (RM)-associated variants, here we present an updated version of m6AVar renamed RMVar (http://rmvar.renlab.org). In this update, RMVar contains 1 678 126 RM-associated variants for 9 kinds of RNA modifications, namely m6A, m6Am, m1A, pseudouridine, m5C, m5U, 2'-O-Me, A-to-I and m7G, at three confidence levels. Moreover, RBP binding regions, miRNA targets, splicing events and circRNAs were integrated to assist investigations of the effects of RM-associated variants on posttranscriptional regulation. In addition, disease-related information was integrated from ClinVar and other genome-wide association studies (GWAS) to investigate the relationship between RM-associated variants and diseases. We expect that RMVar may boost further functional studies on genetic variants affecting RNA modifications.
从大量的乘客变体中区分少数与疾病相关的变体是一个主要的挑战。最近,影响 RNA 修饰的变体与许多人类疾病(如癌症)有关,这些变体在 RNA 代谢的许多方面都起着关键作用。评估遗传变异对 RNA 修饰的影响将为理解人类疾病的发病机制提供新的视角。此前,我们开发了一个名为'm6AVar'的数据库,用于存储与 m6A 相关的变体,m6A 是真核生物中最普遍的 RNA 修饰之一。为了容纳所有 RNA 修饰(RM)相关的变体,我们在这里展示了 m6AVar 的更新版本,命名为 RMVar(http://rmvar.renlab.org)。在这个更新中,RMVar 包含了 1 678 126 个与 9 种 RNA 修饰(即 m6A、m6Am、m1A、假尿嘧啶、m5C、m5U、2'-O-Me、A-to-I 和 m7G)相关的 RM 相关变体,分为三个置信度级别。此外,还整合了 RBP 结合区域、miRNA 靶标、剪接事件和 circRNAs,以协助研究 RM 相关变体对转录后调控的影响。此外,还整合了来自 ClinVar 和其他全基因组关联研究(GWAS)的疾病相关信息,以研究 RM 相关变体与疾病之间的关系。我们希望 RMVar 可以促进对影响 RNA 修饰的遗传变异的进一步功能研究。