Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
Centre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
Hum Mutat. 2022 Jun;43(6):800-811. doi: 10.1002/humu.24354. Epub 2022 Mar 9.
Despite recent progress in the understanding of the genetic etiologies of rare diseases (RDs), a significant number remain intractable to diagnostic and discovery efforts. Broad data collection and sharing of information among RD researchers is therefore critical. In 2018, the Care4Rare Canada Consortium launched the project C4R-SOLVE, a subaim of which was to collect, harmonize, and share both retrospective and prospective Canadian clinical and multiomic data. Here, we introduce Genomics4RD, an integrated web-accessible platform to share Canadian phenotypic and multiomic data between researchers, both within Canada and internationally, for the purpose of discovering the mechanisms that cause RDs. Genomics4RD has been designed to standardize data collection and processing, and to help users systematically collect, prioritize, and visualize participant information. Data storage, authorization, and access procedures have been developed in collaboration with policy experts and stakeholders to ensure the trusted and secure access of data by external researchers. The breadth and standardization of data offered by Genomics4RD allows researchers to compare candidate disease genes and variants between participants (i.e., matchmaking) for discovery purposes, while facilitating the development of computational approaches for multiomic data analyses and enabling clinical translation efforts for new genetic technologies in the future.
尽管近年来在理解罕见病(RDs)的遗传病因方面取得了进展,但仍有相当数量的 RD 难以进行诊断和发现。因此,广泛收集数据并在 RD 研究人员之间共享信息至关重要。2018 年,加拿大 Care4Rare 联盟启动了 C4R-SOLVE 项目,该项目的一个子目标是收集、协调和共享加拿大回顾性和前瞻性的临床和多组学数据。在这里,我们介绍了 Genomics4RD,这是一个集成的网络访问平台,用于在加拿大和国际范围内的研究人员之间共享加拿大表型和多组学数据,以发现导致 RD 的机制。Genomics4RD 的设计目的是标准化数据收集和处理,并帮助用户系统地收集、优先处理和可视化参与者信息。数据存储、授权和访问程序是与政策专家和利益相关者合作开发的,以确保外部研究人员能够安全、可信地访问数据。Genomics4RD 提供的数据的广度和标准化允许研究人员在参与者之间(即匹配)比较候选疾病基因和变体,以进行发现,同时促进多组学数据分析的计算方法的发展,并为未来新的遗传技术的临床转化工作提供便利。