4.5 Article

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

期刊

HUMAN MUTATION
卷 36, 期 10, 页码 931-940

出版社

WILEY-BLACKWELL
DOI: 10.1002/humu.22851

关键词

deep phenotyping; HPO; patient matchmaking; semantic similarity; Matchmaker Exchange

资金

  1. Genome Canada
  2. Canadian Institutes of Health Research
  3. Ontario Genomics Institute
  4. Ontario Research Fund
  5. Genome Quebec
  6. Children's Hospital of Eastern Ontario Foundation
  7. Hospital for Sick Children
  8. NSERC/CIHR Collaborative Health Research Project (CHRP)
  9. Garron Family Cancer Centre and Hospital for Sick Children Foundation Student Scholarship Program
  10. NSERC Undergraduate Student Research Award

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据