Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 96 rue Didot,Paris, France.
Hum Mutat. 2012 May;33(5):803-8. doi: 10.1002/humu.22078. Epub 2012 Apr 6.
Rare disorders are scarcely represented in international classifications and therefore invisible in information systems. One of the major needs in health information systems and for research is to share and/or to integrate data coming from heterogeneous sources with diverse reference terminologies. ORPHANET (www.orpha.net) is a multilingual information portal on rare diseases and orphan drugs. Orphanet information system is supported by a relational database built around the concept of rare disorders. Representation of rare diseases in Orphanet encompasses levels of increasing complexity: lexical (multilingual terminology), nosological (multihierarchical classifications), relational (annotations-epidemiological data-and classes of objects-genes, manifestations, and orphan drugs-integrated in a relational database), and interoperational (semantic interoperability). Rare disorders are mapped to International Classification of Diseases (10th version), SNOMED CT, MeSH, MedDRA, and UMLS. Genes are cross-referenced with HGNC, UniProt, OMIM, and Genatlas. A suite of tools allow for extraction of massive datasets giving different views that can be used in bioinformatics to answer complex questions, intended to serve the needs of researchers and the pharmaceutical industry in developing medicinal products for rare diseases. An ontology is under development. The Orphanet nomenclature is at the crossroads of scientific data repositories and of clinical terminology standards, and is suitable to be used as a standard terminology.
罕见疾病在国际分类中代表性不足,因此在信息系统中难以被发现。健康信息系统和研究的主要需求之一是共享和/或整合来自异构数据源的、具有不同参照术语的信息。ORPHANET(www.orpha.net)是一个关于罕见疾病和孤儿药的多语言信息门户。Orphanet 信息系统由一个围绕罕见疾病概念构建的关系型数据库提供支持。罕见疾病在 Orphanet 中的表示涵盖了越来越复杂的层次:词汇(多语言术语)、疾病分类(多等级分类)、关系(注释-流行病学数据和对象类-整合在关系数据库中的基因、表现和孤儿药)和互操作性(语义互操作性)。罕见疾病被映射到国际疾病分类(第 10 版)、SNOMED CT、MeSH、MedDRA 和 UMLS。基因与 HGNC、UniProt、OMIM 和 Genatlas 交叉引用。一系列工具允许提取大量数据集,提供不同的视图,可用于生物信息学回答复杂的问题,旨在满足研究人员和制药行业开发罕见疾病药物的需求。正在开发一个本体。Orphanet 命名法处于科学数据存储库和临床术语标准的十字路口,适合用作标准术语。