Université de Paris, Institut Imagine, F-75006 Paris, France.
Clinical Bioinformatics Laboratory, Imagine Institute, INSERM UMR1163, F-75015 Paris, France.
Nucleic Acids Res. 2021 Jul 2;49(W1):W93-W103. doi: 10.1093/nar/gkab347.
Copy Number Variants (CNVs) are an important cause of rare diseases. Array-based Comparative Genomic Hybridization tests yield a ∼12% diagnostic rate, with ∼8% of patients presenting CNVs of unknown significance. CNVs interpretation is particularly challenging on genomic regions outside of those overlapping with previously reported structural variants or disease-associated genes. Recent studies showed that a more comprehensive evaluation of CNV features, leveraging both coding and non-coding impacts, can significantly improve diagnostic rates. However, currently available CNV interpretation tools are mostly gene-centric or provide only non-interactive annotations difficult to assess in the clinical practice. Here, we present CNVxplorer, a web server suited for the functional assessment of CNVs in a clinical diagnostic setting. CNVxplorer mines a comprehensive set of clinical, genomic, and epigenomic features associated with CNVs. It provides sequence constraint metrics, impact on regulatory elements and topologically associating domains, as well as expression patterns. Analyses offered cover (a) agreement with patient phenotypes; (b) visualizations of associations among genes, regulatory elements and transcription factors; (c) enrichment on functional and pathway annotations and (d) co-occurrence of terms across PubMed publications related to the query CNVs. A flexible evaluation workflow allows dynamic re-interrogation in clinical sessions. CNVxplorer is publicly available at http://cnvxplorer.com.
拷贝数变异 (CNVs) 是罕见疾病的重要病因。基于阵列的比较基因组杂交测试的诊断率约为 12%,其中约 8%的患者存在意义未明的 CNVs。在与先前报道的结构变异或疾病相关基因不重叠的基因组区域中,CNV 的解读特别具有挑战性。最近的研究表明,更全面地评估 CNV 特征,利用编码和非编码的影响,可以显著提高诊断率。然而,目前可用的 CNV 解读工具主要是基于基因的,或者只提供非交互式注释,在临床实践中难以评估。在这里,我们提出了 CNVxplorer,这是一个适合在临床诊断环境中对 CNV 进行功能评估的网络服务器。CNVxplorer 挖掘了与 CNVs 相关的一整套临床、基因组和表观基因组特征。它提供了序列约束指标、对调控元件和拓扑关联域的影响,以及表达模式。提供的分析涵盖了 (a) 与患者表型的一致性;(b) 基因、调控元件和转录因子之间关联的可视化;(c) 功能和途径注释的富集;以及 (d) 与查询 CNVs 相关的 PubMed 出版物中术语的共现。灵活的评估工作流程允许在临床会议中动态重新询问。CNVxplorer 可在 http://cnvxplorer.com 上公开获取。