PhenomeCentral: A Portal for Phenotypic and Genotypic Matchmaking of Patients with Rare Genetic Diseases

被引:90
|
作者
Buske, Orion J. [1 ,2 ,3 ]
Girdea, Marta [1 ,2 ,3 ]
Dumitriu, Sergiu [3 ]
Gallinger, Bailey [3 ,4 ]
Hartley, Taila [5 ]
Trang, Heather [3 ,4 ]
Misyura, Andriy [3 ]
Friedman, Tal [1 ]
Beaulieu, Chandree [5 ]
Bone, William P. [6 ]
Links, Amanda E. [6 ]
Washington, Nicole L. [7 ]
Haendel, Melissa A. [8 ]
Robinson, Peter N. [9 ]
Boerkoel, Cornelius F. [6 ]
Adams, David [6 ]
Gahl, William A. [6 ]
Boycott, Kym M. [5 ]
Brudno, Michael [1 ,2 ,3 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[2] Hosp Sick Children, Genet & Genome Biol Program, Toronto, ON M5G 1X8, Canada
[3] Hosp Sick Children, Ctr Computat Med, Toronto, ON M5G 1X8, Canada
[4] Hosp Sick Children, Div Clin & Metab Genet, Toronto, ON M5G 1X8, Canada
[5] Childrens Hosp Eastern Ontario, Res Inst, Ottawa, ON K1H 8L1, Canada
[6] NIH, Undiagnosed Dis Program, Common Fund, Off Director, Bethesda, MD 20892 USA
[7] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Genom Div, Berkeley, CA 94720 USA
[8] Oregon Hlth & Sci Univ, Dept Med Informat & Clin Epidemiol, Portland, OR 97201 USA
[9] Charite, Inst Med Genet & Human Genet, D-13353 Berlin, Germany
基金
加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词
deep phenotyping; HPO; patient matchmaking; semantic similarity; Matchmaker Exchange; SEMANTIC SIMILARITY; DISORDERS; DISCOVERY; ONTOLOGY; EXCHANGE; ACCURATE; SEARCHES; PROJECT; BIOLOGY; TOOL;
D O I
10.1002/humu.22851
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The discovery of disease-causing mutations typically requires confirmation of the variant or gene in multiple unrelated individuals, and a large number of rare genetic diseases remain unsolved due to difficulty identifying second families. To enable the secure sharing of case records by clinicians and rare disease scientists, we have developed the PhenomeCentral portal (https://phenomecentral.org). Each record includes a phenotypic description and relevant genetic information (exome or candidate genes). PhenomeCentral identifies similar patients in the database based on semantic similarity between clinical features, automatically prioritized genes from whole-exome data, and candidate genes entered by the users, enabling both hypothesis-free and hypothesis-driven matchmaking. Users can then contact other submitters to follow up on promising matches. PhenomeCentral incorporates data for over 1,000 patients with rare genetic diseases, contributed by the FORGE and Care4Rare Canada projects, the US NIH Undiagnosed Diseases Program, the EU Neuromics and ANDDIrare projects, as well as numerous independent clinicians and scientists. Though the majority of these records have associated exome data, most lack a molecular diagnosis. PhenomeCentral has already been used to identify causative mutations for several patients, and its ability to find matching patients and diagnose these diseases will grow with each additional patient that is entered. (C) 2015 Wiley Periodicals, Inc.
引用
收藏
页码:931 / 940
页数:10
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