Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Department of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Genet Med. 2022 Jan;24(1):100-108. doi: 10.1016/j.gim.2021.08.014. Epub 2021 Nov 30.
Matchmaking has emerged as a useful strategy for building evidence toward causality of novel disease genes in patients with undiagnosed rare diseases. The Matchmaker Exchange (MME) is a collaborative initiative that facilitates international data sharing for matchmaking purposes; however, data on user experience is limited.
Patients enrolled as part of the Finding of Rare Disease Genes in Canada (FORGE) and Care4Rare Canada research programs had their exome sequencing data reanalyzed by a multidisciplinary research team over a 2-year period. Compelling variants in genes not previously associated with a human phenotype were submitted through the MME node PhenomeCentral, and outcomes were collected.
In this study, 194 novel candidate genes were submitted to the MME, resulting in 1514 matches, and 15% of the genes submitted resulted in collaborations. Most submissions resulted in at least 1 match, and most matches were with GeneMatcher (82%), where additional email exchange was required to evaluate the match because of the lack of phenotypic or inheritance information.
Matchmaking through the MME is an effective way to investigate novel candidate genes; however, it is a labor-intensive process. Engagement from the community to contribute phenotypic, genotypic, and inheritance data will ensure that matchmaking continues to be a useful approach in the future.
在患有不明原因罕见病的患者中,匹配方法已成为构建新型疾病基因因果关系证据的有效策略。Matchmaker Exchange(MME)是一项协作计划,旨在促进国际数据共享以进行匹配;然而,关于用户体验的数据有限。
在加拿大罕见病基因发现(FORGE)和 Care4Rare Canada 研究计划中注册的患者,其外显子组测序数据由一个多学科研究团队在两年的时间内重新进行了分析。以前与人类表型无关的基因中的引人注目变异通过 PhenomeCentral 节点提交到 MME,收集结果。
在这项研究中,向 MME 提交了 194 个新的候选基因,产生了 1514 个匹配,提交的基因中有 15%促成了合作。大多数提交都产生了至少 1 个匹配,大多数匹配都是与 GeneMatcher(82%),由于缺乏表型或遗传信息,需要额外的电子邮件交流来评估匹配。
通过 MME 进行匹配是研究新型候选基因的有效方法;然而,这是一个劳动密集型的过程。社区参与提供表型、基因型和遗传信息将确保匹配在未来继续成为一种有用的方法。