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eRepo-ORP: Exploring the Opportunity Space to Combat Orphan Diseases with Existing Drugs.eRepo-ORP:利用现有药物探索治疗罕见病的机会空间。
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Identification of novel candidate disease genes from de novo exonic copy number variants.从新生外显子拷贝数变异中鉴定新的候选疾病基因。
Genome Med. 2017 Sep 21;9(1):83. doi: 10.1186/s13073-017-0472-7.
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The importance of international collaboration for rare diseases research: a European perspective.国际合作在罕见病研究中的重要性:欧洲视角
Gene Ther. 2017 Sep;24(9):562-571. doi: 10.1038/gt.2017.29. Epub 2017 Jul 27.
4
Clinical Practice Guidelines for Rare Diseases: The Orphanet Database.罕见病临床实践指南:欧睿罕病数据库
PLoS One. 2017 Jan 18;12(1):e0170365. doi: 10.1371/journal.pone.0170365. eCollection 2017.
5
The Matchmaker Exchange: a platform for rare disease gene discovery.媒人交换平台:罕见病基因发现的平台。
Hum Mutat. 2015 Oct;36(10):915-21. doi: 10.1002/humu.22858.
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The Matchmaker Exchange API: automating patient matching through the exchange of structured phenotypic and genotypic profiles.媒人交换应用程序编程接口:通过结构化表型和基因型概况的交换实现患者匹配自动化。
Hum Mutat. 2015 Oct;36(10):922-7. doi: 10.1002/humu.22850.
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PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases.PhenomeCentral:罕见遗传病患者表型与基因型匹配的门户网站。
Hum Mutat. 2015 Oct;36(10):931-40. doi: 10.1002/humu.22851. Epub 2015 Aug 31.
8
Cafe Variome: general-purpose software for making genotype-phenotype data discoverable in restricted or open access contexts.咖啡变异组:用于在受限或开放访问环境中使基因型-表型数据可被发现的通用软件。
Hum Mutat. 2015 Oct;36(10):957-64. doi: 10.1002/humu.22841. Epub 2015 Aug 25.
9
GeneMatcher: a matching tool for connecting investigators with an interest in the same gene.基因匹配器:一种用于将对同一基因感兴趣的研究人员联系起来的匹配工具。
Hum Mutat. 2015 Oct;36(10):928-30. doi: 10.1002/humu.22844. Epub 2015 Aug 13.
10
Facilitating collaboration in rare genetic disorders through effective matchmaking in DECIPHER.通过在DECIPHER中进行有效的配对来促进罕见遗传病领域的合作。
Hum Mutat. 2015 Oct;36(10):941-9. doi: 10.1002/humu.22842. Epub 2015 Aug 20.

数据共享推动罕见病和被忽视疾病的临床研究与治疗。

Data Sharing Advances Rare and Neglected Disease Clinical Research and Treatments.

作者信息

Bienstock Rachelle J

机构信息

RJB Computational Modeling LLC, Chapel Hill, North Carolina 27514, United States.

出版信息

ACS Pharmacol Transl Sci. 2019 Aug 22;2(6):491-496. doi: 10.1021/acsptsci.9b00034. eCollection 2019 Dec 13.

DOI:10.1021/acsptsci.9b00034
PMID:32259080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7089004/
Abstract

Because of the decreased cost and increased ease of whole genome analysis, the diagnosis of rare, orphan diseases has entered a new era. This new technological advance, combined with the worldwide web connections, now permits sharing, searching, and linking genotype, phenotype, and other information to facilitate diagnosis. Databases currently accessible and searchable by researchers, clinicians, and patients will be presented and discussed.

摘要

由于全基因组分析成本降低且操作更加简便,罕见病、孤儿病的诊断进入了一个新时代。这项新的技术进步,再加上全球网络连接,现在使得基因型、表型及其他信息的共享、搜索和关联成为可能,从而有助于诊断。本文将展示并讨论研究人员、临床医生和患者目前可以访问和搜索的数据库。