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通过社交网络发现孟德尔病症的致病基因:KDM1A基因中的新生变异导致发育迟缓及独特面部特征

Gene discovery for Mendelian conditions via social networking: de novo variants in KDM1A cause developmental delay and distinctive facial features.

作者信息

Chong Jessica X, Yu Joon-Ho, Lorentzen Peter, Park Karen M, Jamal Seema M, Tabor Holly K, Rauch Anita, Saenz Margarita Sifuentes, Boltshauser Eugen, Patterson Karynne E, Nickerson Deborah A, Bamshad Michael J

机构信息

Department of Pediatrics, University of Washington, Seattle, Washington, USA.

Department of Political Science, University of California, Berkeley, California, USA.

出版信息

Genet Med. 2016 Aug;18(8):788-95. doi: 10.1038/gim.2015.161. Epub 2015 Dec 10.

Abstract

PURPOSE

The pace of Mendelian gene discovery is slowed by the "n-of-1 problem"-the difficulty of establishing the causality of a putatively pathogenic variant in a single person or family. Identification of an unrelated person with an overlapping phenotype and suspected pathogenic variant in the same gene can overcome this barrier, but it is often impeded by lack of a convenient or widely available way to share data on candidate variants/genes among families, clinicians, and researchers.

METHODS

Social networking among families, clinicians, and researchers was used to identify three children with variants of unknown significance in KDM1A and similar phenotypes.

RESULTS

De novo variants in KDM1A underlie a new syndrome characterized by developmental delay and distinctive facial features.

CONCLUSION

Social networking is a potentially powerful strategy to discover genes for rare Mendelian conditions, particularly those with nonspecific phenotypic features. To facilitate the efforts of families to share phenotypic and genomic information with each other, clinicians, and researchers, we developed the Repository for Mendelian Genomics Family Portal (RMD-FP; http://uwcmg.org/#/family). Design and development of MyGene2 (http://www.mygene2.org), a Web-based tool that enables families, clinicians, and researchers to search for gene matches based on analysis of phenotype and exome data deposited into the RMD-FP, is under way.Genet Med 18 8, 788-795.

摘要

目的

孟德尔基因发现的速度因“单病例问题”而放缓,即在单个个体或家庭中确定假定致病变异的因果关系存在困难。识别出具有重叠表型且在同一基因中存在疑似致病变异的无关个体可以克服这一障碍,但由于缺乏一种方便或广泛可用的方式在家庭、临床医生和研究人员之间共享候选变异/基因的数据,这一过程常常受到阻碍。

方法

利用家庭、临床医生和研究人员之间的社交网络,识别出三名携带KDM1A基因中意义未明变异且具有相似表型的儿童。

结果

KDM1A基因的新生变异是一种以发育迟缓及独特面部特征为特点的新综合征的基础。

结论

社交网络是发现罕见孟德尔疾病相关基因的一种潜在有力策略,尤其是对于那些具有非特异性表型特征的疾病。为便于家庭与彼此、临床医生和研究人员共享表型和基因组信息,我们开发了孟德尔基因组学家庭门户知识库(RMD-FP;http://uwcmg.org/#/family)。目前正在设计和开发MyGene2(http://www.mygene2.org),这是一种基于网络的工具,可使家庭、临床医生和研究人员根据存入RMD-FP的表型和外显子组数据搜索基因匹配情况。《遗传医学》18卷8期,788 - 795页。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff23/4902791/f0fa41f2ecf6/nihms735311f1.jpg

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