SpliceVarDB:经实验验证的人类剪接变体综合数据库。

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY
American journal of human genetics Pub Date : 2024-10-03 Epub Date: 2024-09-02 DOI:10.1016/j.ajhg.2024.08.002
Patricia J Sullivan, Julian M W Quinn, Weilin Wu, Mark Pinese, Mark J Cowley
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引用次数: 0

摘要

据估计,改变基因剪接的变异占所有致病变异的三分之一,但仅靠 DNA 测序数据很难预测这些变异。为了克服这一问题,许多研究小组正在采用基于 RNA 的分析方法,这种方法需要大量资源,尤其是对诊断实验室而言。有成千上万个经过功能验证的变体会诱发错误剪接;然而,这些信息并没有整合在一起,在 ClinVar 中的代表性也不足,这给变体解释带来了障碍,并可能导致重复验证工作。为了解决这个问题,我们开发了 SpliceVarDB,这是一个在线数据库,整合了 8000 多个人类基因中 50,000 多个对剪接有影响的变异。我们评估了 500 多个已发表的数据源,并建立了剪接致病性量表,以标准化、统一和整合各种实验方案产生的变体验证数据。根据其支持证据的强度,变体被分为 "剪接改变"(∼25%)、"不剪接改变"(∼25%)和 "低频剪接改变"(∼50%),它们对应于剪接致性的弱证据或不确定证据。重要的是,SpliceVarDB 中 55% 的剪接改变变异位于典型剪接位点之外(5.6% 位于深内含子)。这些变体可支持变体整理诊断途径,并可用于提供必要的高质量数据,以开发更准确的硅剪接预测工具。这些变异可通过在线平台 SpliceVarDB 访问,该平台还具有可视化、变异信息、硅学预测和验证指标等附加功能。SpliceVarDB 是一个非常大的剪接改变变体集合,可在 https://splicevardb.org 上查阅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SpliceVarDB: A comprehensive database of experimentally validated human splicing variants.

Variants that alter gene splicing are estimated to comprise up to a third of all disease-causing variants, yet they are hard to predict from DNA sequencing data alone. To overcome this, many groups are incorporating RNA-based analyses, which are resource intensive, particularly for diagnostic laboratories. There are thousands of functionally validated variants that induce mis-splicing; however, this information is not consolidated, and they are under-represented in ClinVar, which presents a barrier to variant interpretation and can result in duplication of validation efforts. To address this issue, we developed SpliceVarDB, an online database consolidating over 50,000 variants assayed for their effects on splicing in over 8,000 human genes. We evaluated over 500 published data sources and established a spliceogenicity scale to standardize, harmonize, and consolidate variant validation data generated by a range of experimental protocols. According to the strength of their supporting evidence, variants were classified as "splice-altering" (∼25%), "not splice-altering" (∼25%), and "low-frequency splice-altering" (∼50%), which correspond to weak or indeterminate evidence of spliceogenicity. Importantly, 55% of the splice-altering variants in SpliceVarDB are outside the canonical splice sites (5.6% are deep intronic). These variants can support the variant curation diagnostic pathway and can be used to provide the high-quality data necessary to develop more accurate in silico splicing predictors. The variants are accessible through an online platform, SpliceVarDB, with additional features for visualization, variant information, in silico predictions, and validation metrics. SpliceVarDB is a very large collection of splice-altering variants and is available at https://splicevardb.org.

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来源期刊
CiteScore
14.70
自引率
4.10%
发文量
185
审稿时长
1 months
期刊介绍: The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.
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