Stawiński Piotr, Płoski Rafał
Department of Medical Genetics, Medical University of Warsaw, Warsaw, Poland.
Clin Genet. 2024 Aug;106(2):119-126. doi: 10.1111/cge.14516. Epub 2024 Mar 5.
We present GeneBe, an online platform streamlining the automated application of American College of Medical Genetics and Genomics (ACMG), Association for Molecular Pathology (AMP), and the College of American Pathologists (CAP) criteria for assessment of pathogenicity of genetic variants. GeneBe utilizes automated algorithms that evaluate 17 criteria from 28, closely aligning with current guidelines and leveraging data from diverse sources, including ClinVar. The user-friendly web interface enables manual refinement of assignments for specific criteria based on site-collected data. Our algorithm demonstrates a high correlation (r = 0.90) of assigned pathogenicity scores compared to expert assessments from the ClinGen Evidence Repository and substantial concordance with ClinVar verdict assignments (κ = 0.69). Comparative analysis with other published tools reveals that GeneBe performs similarly to VarSome while being superior over TAPES and InterVar. In contrast to some other tools, GeneBe's web implementation is tracker-free and third-party request-free, safeguarding user privacy. Additionally, GeneBe offers an Application Programming Interface (API) for enhanced flexibility and integration into existing workflows and is provided free of charge for research purposes. GeneBe is available at https://genebe.net.
我们展示了GeneBe,这是一个在线平台,可简化美国医学遗传学与基因组学学会(ACMG)、分子病理学协会(AMP)和美国病理学家学会(CAP)对基因变异致病性评估标准的自动应用。GeneBe利用自动算法评估来自28项标准中的17项,与当前指南紧密一致,并利用包括ClinVar在内的各种来源的数据。用户友好的网络界面允许根据现场收集的数据对特定标准的赋值进行手动优化。与ClinGen证据库的专家评估相比,我们的算法在指定致病性评分方面显示出高度相关性(r = 0.90),并且与ClinVar判定赋值具有高度一致性(κ = 0.69)。与其他已发表工具的比较分析表明,GeneBe的性能与VarSome相似,但优于TAPES和InterVar。与其他一些工具不同,GeneBe的网络实现无需跟踪器且无需第三方请求,从而保护了用户隐私。此外,GeneBe提供了一个应用程序编程接口(API),以增强灵活性并集成到现有工作流程中,并且为研究目的免费提供。可通过https://genebe.net访问GeneBe。