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The Matchmaker Exchange API: automating patient matching through the exchange of structured phenotypic and genotypic profiles

机译:Matchmaker Exchange API:通过结构化表型和基因型配置文件的交换来自动进行患者匹配

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摘要

Despite the increasing prevalence of clinical sequencing, the difficulty of identifying additional affected families is a key obstacle to solving many rare diseases. There may only be a handful of similar patients worldwide, and their data may be stored in diverse clinical and research databases. Computational methods are necessary to enable finding similar patients across the growing number of patient repositories and registries. We present the Matchmaker Exchange Application Programming Interface (MME API), a protocol and data format for exchanging phenotype and genotype profiles to enable matchmaking among patient databases, facilitate the identification of additional cohorts, and increase the rate with which rare diseases can be researched and diagnosed. We designed the API to be straightforward and flexible in order to simplify its adoption on a large number of data types and workflows. We also provide a public test data set, curated from the literature, to facilitate implementation of the API and development of new matching algorithms. The initial version of the API has been successfully implemented by three members of the Matchmaker Exchange and was immediately able to reproduce previously-identified matches and generate several new leads currently being validated. The API is available at .
机译:尽管临床测序的普及率不断提高,但难以确定其他受影响的家庭是解决许多罕见疾病的主要障碍。全球可能只有少数类似的患者,他们的数据可能存储在各种临床和研究数据库中。必须使用计算方法才能在越来越多的患者存储库和注册表中找到相似的患者。我们提出了Matchmaker Exchange应用程序编程接口(MME API),该协议和数据格式用于交换表型和基因型配置文件,以使患者数据库之间能够进行匹配,便于识别其他人群,并提高对罕见病进行研究的速度并诊断。我们设计的API既简单又灵活,以简化其在多种数据类型和工作流程中的采用。我们还提供从文献中精选的公共测试数据集,以促进API的实现和开发新的匹配算法。该API的初始版本已由Matchmaker Exchange的三名成员成功实施,并且能够立即重现以前确定的匹配项并生成当前正在验证的多个新线索。该API可从访问。

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