VarGuideAtlas:变体解释指南资料库。

IF 3.6 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2025-03-11 DOI:10.1093/database/baaf017
Mireia Costa, Alberto García S, Oscar Pastor
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引用次数: 0

摘要

变异解释指南指导确定DNA变异在患者健康中的作用的过程。目前,存在着数百种指南,每一种都适用于特定的临床领域。然而,它们分散在多个资源和科学文献中。为了解决这个问题,我们提出了VarGuideAtlas,这是一个综合的变体解释指南库,汇集了来自ClinGen、ClinVar和PubMed的信息。我们的知识库提供了一个用户友好的网络界面,具有先进的搜索功能,使临床医生和研究人员能够有效地找到针对特定基因、疾病或变异类型的相关指南。我们使用本体来描述每个指南,确保一致性并提高与生物信息学工具的互操作性。VarGuideAtlas在标准化变异解释实践、促进更明智的决策、改善临床结果和更精确的基因组研究方面取得了重大进展。VarGuideAtlas可通过网络平台(https://genomics-hub.pros.dsic.upv.es:3016/)公开访问。
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VarGuideAtlas: a repository of variant interpretation guidelines.

Variant interpretation guidelines guide the process of determining the role of DNA variants in patients' health. Currently, hundreds of guidelines exist, each applicable to a particular clinical domain. However, they are scattered across multiple resources and scientific literature. To address this issue, we present VarGuideAtlas, a comprehensive repository of variant interpretation guidelines that compiles information from ClinGen, ClinVar, and PubMed. Our repository offers a user-friendly web interface with advanced search capabilities, enabling clinicians and researchers to efficiently find relevant guidelines tailored to specific genes, diseases, or variant types. We employ ontologies to characterize each guideline, ensuring consistency and improving interoperability with bioinformatics tools. VarGuideAtlas represents a significant advance toward standardizing variant interpretation practices, facilitating more informed decision-making, improved clinical outcomes, and more precise genomic research. VarGuideAtlas is publicly accessible via a web-based platform (https://genomics-hub.pros.dsic.upv.es:3016/).

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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