Geisinger Health System, Danville, PA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
Geisinger Health System, Danville, PA.
Genet Med. 2022 Aug;24(8):1732-1742. doi: 10.1016/j.gim.2022.04.017. Epub 2022 May 4.
Several groups and resources provide information that pertains to the validity of gene-disease relationships used in genomic medicine and research; however, universal standards and terminologies to define the evidence base for the role of a gene in disease and a single harmonized resource were lacking. To tackle this issue, the Gene Curation Coalition (GenCC) was formed.
The GenCC drafted harmonized definitions for differing levels of gene-disease validity on the basis of existing resources, and performed a modified Delphi survey with 3 rounds to narrow the list of terms. The GenCC also developed a unified database to display curated gene-disease validity assertions from its members.
On the basis of 241 survey responses from the genetics community, a consensus term set was chosen for grading gene-disease validity and database submissions. As of December 2021, the database contained 15,241 gene-disease assertions on 4569 unique genes from 12 submitters. When comparing submissions to the database from distinct sources, conflicts in assertions of gene-disease validity ranged from 5.3% to 13.4%.
Terminology standardization, sharing of gene-disease validity classifications, and resolution of curation conflicts will facilitate collaborations across international curation efforts and in turn, improve consistency in genetic testing and variant interpretation.
有几个团体和资源提供了与基因组医学和研究中使用的基因-疾病关系的有效性相关的信息;然而,缺乏定义基因在疾病中的作用的证据基础的通用标准和术语,也缺乏单一的协调资源。为了解决这个问题,成立了基因整理联盟(GenCC)。
GenCC 根据现有资源为不同层次的基因-疾病有效性起草了协调一致的定义,并进行了 3 轮修改后的 Delphi 调查,以缩小术语列表。GenCC 还开发了一个统一的数据库,以显示其成员整理的基因-疾病有效性断言。
根据遗传学社区 241 份调查回复,选择了一个用于基因-疾病有效性分级和数据库提交的共识术语集。截至 2021 年 12 月,该数据库包含了来自 12 个提交者的 4569 个独特基因的 15241 个基因-疾病断言。当比较来自不同来源的数据库提交时,基因-疾病有效性断言的冲突范围从 5.3%到 13.4%。
术语标准化、基因-疾病有效性分类的共享以及整理冲突的解决将促进国际整理工作的合作,从而提高遗传测试和变异解释的一致性。