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研讨会报告:多重变异效应分析数据的临床应用(MAVES),2023 年 7 月 12 日。

Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023.

机构信息

Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.

St George's University Hospitals NHS Foundation Trust, Tooting, London, UK.

出版信息

Eur J Hum Genet. 2024 May;32(5):593-600. doi: 10.1038/s41431-024-01566-2. Epub 2024 Mar 4.

Abstract

Clinical classification of genomic variants identified on sequencing is often challenging, with many variants classified as Variants of Uncertain Significance (VUS) on account of insufficient evidence. Advances in sequencing and gene synthesis has made feasible multiplexed assays of variant effect (MAVEs), which quantify the functional impact of many thousands of genomic variants in a single experiment. These assays and the functional evidence they generate have the potential to empower more accurate clinical variant classification. However, there are many outstanding challenges and opportunities that require joint resolution and specification, thus necessitating communication between the research scientists who have designed and performed MAVEs and the clinicians and diagnostic scientists who will apply their data to clinical variant classification. In the ‘Clinical Application of MAVE Data’ workshop, held on 12th July 2023 at the Wellcome Connecting Science Conference Centre in between two relevant research meetings, ‘Curating the Clinical Genome 2023’ and the ‘Mutational Scanning Symposium 2023’, 44 key scientific and/or clinical stakeholders were brought together to consider important questions relating to clinical application of MAVE data, such as quantitative validation, variant truth-sets, platforms and standards for dissemination of MAVE data. The outcomes and possible next steps that were discussed encompassed development of focused workshops to develop consensus recommendations, creating a MAVE evaluation working group, and collaboration of ClinVar and MaveDB to enact software changes that support enhanced functional data submission.

摘要

临床上对测序鉴定出的基因组变异的分类往往具有挑战性,许多变异由于证据不足被归类为意义未明的变异(VUS)。测序和基因合成技术的进步使得变异效应的多重分析(MAVE)成为可能,该分析可在单次实验中定量评估数千个基因组变异的功能影响。这些分析及其产生的功能证据有可能使临床变异分类更加准确。然而,目前仍存在许多突出的挑战和机遇,需要共同解决和规范,因此需要进行设计和执行 MAVE 的研究科学家与将其数据应用于临床变异分类的临床医生和诊断科学家之间的沟通。在 2023 年 7 月 12 日于惠康连接科学会议中心举行的“MAVE 数据的临床应用”研讨会上,来自 44 个关键的科学和/或临床利益相关者聚集在一起,共同探讨了与 MAVE 数据临床应用相关的重要问题,如定量验证、变异真实集、MAVE 数据传播的平台和标准。讨论的结果和可能的下一步包括:开展重点研讨会以制定共识建议,成立 MAVE 评估工作组,以及 ClinVar 和 MaveDB 之间的合作,以实施支持增强功能数据提交的软件更改。

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