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UniVar:一个通过对单核苷酸变异(SNV)、插入缺失(INDEL)、拷贝数变异(CNV)和结构变异(SV)进行强大过滤和统一分析来增强罕见病诊断的变异解读平台。

UniVar: A variant interpretation platform enhancing rare disease diagnosis through robust filtering and unified analysis of SNV, INDEL, CNV and SV.

作者信息

Au-Yeung Cherie C Y, Cheung Yuen-Ting, Cheng Joshua Y T, Ip Ken W H, Lee Sau-Dan, Yang Victor Y T, Lau Amy Y T, Lee Chit K C, Chong Peter K H, Lau King Wai, van Lunenburg Jurgen T J, Zheng Damon F D, Ho Brian H M, Tik Crystal, Ho Kingsley K K, Rajaby Ramesh, Au Chun-Hang, Yu Mullin H C, Sung Wing-Kin

机构信息

Hong Kong Genome Institute, Hong Kong Science Park, Shatin, Hong Kong, China.

Hong Kong Genome Institute, Hong Kong Science Park, Shatin, Hong Kong, China; Shibuya Laboratory, Division of Medical Data Informatics, Human Genome Center, University of Tokyo, Japan.

出版信息

Comput Biol Med. 2025 Feb;185:109560. doi: 10.1016/j.compbiomed.2024.109560. Epub 2024 Dec 18.

Abstract

BACKGROUND

Interpreting the pathogenicity of genetic variants associated with rare diseases is a laborious and time-consuming endeavour. To streamline the diagnostic process and lighten the burden of variant interpretation, it is crucial to automate variant annotation and prioritization. Unfortunately, currently available variant interpretation tools lack a unified and comprehensive workflow that can collectively assess the clinical significance of these types of variants together: small nucleotide variants (SNVs), small insertions/deletions (INDELs), copy number variants (CNVs) and structural variants (SVs).

RESULTS

The Unified Variant Interpretation Platform (UniVar) is a free web server tool that offers an automated and comprehensive workflow on annotation, filtering and prioritization for SNV, INDEL, CNV and SV collectively to identify disease-causing variants for rare diseases in one interface, ensuring accessibility for users even without programming expertise. To filter common CNVs/SVs, a diverse SV catalogue has been generated, that enables robust filtering of common SVs based on population allele frequency. Through benchmarking our SV catalogue, we showed that it is more complete and accurate than the state-of-the-art SV catalogues. Furthermore, to cope with those patients without detailed clinical information, we have developed a novel computational method that enables variant prioritization from gene panels. Our analysis shows that our approach could prioritize pathogenic variants as effective as using HPO terms assigned by clinicians, which adds value for cases without specific clinically assigned HPO terms. Lastly, through a practical case study of disease-causing compound heterozygous variants across SNV and SV, we demonstrated the uniqueness and effectiveness in variant interpretation of UniVar, edging over any existing interpretation tools.

CONCLUSIONS

UniVar is a unified and versatile platform that empowers researchers and clinicians to identify and interpret disease-causing variants in rare diseases efficiently through a single holistic interface and without a prerequisite for HPO terms. It is freely available without login and installation at https://univar.live/.

摘要

背景

解读与罕见病相关的基因变异的致病性是一项艰巨且耗时的工作。为了简化诊断流程并减轻变异解读的负担,实现变异注释和优先级排序的自动化至关重要。不幸的是,目前可用的变异解读工具缺乏一个统一且全面的工作流程,无法共同评估这些类型变异(单核苷酸变异(SNV)、小插入/缺失(INDEL)、拷贝数变异(CNV)和结构变异(SV))的临床意义。

结果

统一变异解读平台(UniVar)是一个免费的网络服务器工具,它提供了一个自动化且全面的工作流程,用于对SNV、INDEL、CNV和SV进行注释、过滤和优先级排序,以便在一个界面中共同识别罕见病的致病变异,即使没有编程专业知识的用户也能使用。为了过滤常见的CNV/SV,生成了一个多样化的SV目录,能够基于群体等位基因频率对常见SV进行强大的过滤。通过对我们的SV目录进行基准测试,我们表明它比最先进的SV目录更完整、准确。此外,为了应对那些没有详细临床信息的患者,我们开发了一种新颖的计算方法,能够从基因面板中对变异进行优先级排序。我们的分析表明,我们的方法在对致病变异进行优先级排序方面与使用临床医生分配的人类表型本体(HPO)术语一样有效,这为没有特定临床分配HPO术语的病例增加了价值。最后,通过对跨越SNV和SV的致病复合杂合变异的实际案例研究,我们展示了UniVar在变异解读方面的独特性和有效性,胜过任何现有的解读工具。

结论

UniVar是一个统一且通用的平台,使研究人员和临床医生能够通过一个单一的整体界面高效地识别和解读罕见病中的致病变异,且无需预先使用HPO术语。它可在https://univar.live/免费获取,无需登录和安装。

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