MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.
MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.
复制标题
DOI：
10.1093/database/bar065
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Mattingly CJ
中科院分区：
文献类型：
--
作者：
Davis AP;Wiegers TC;Rosenstein MC;Mattingly CJ
比较毒理基因组学数据库（CTD）是一个公共资源，旨在促进人们了解环境化学品对人类健康的影响。CTD生物创造者从科学文献中手动策划化学-基因，化学-疾病和基因-疾病关系的三位一体。CTD策展范式使用化学品、基因和疾病的受控词汇表。为了收集疾病信息，CTD首先必须确定受控术语的来源。两个资源似乎是很好的候选者：在线人类孟德尔遗传（OMIM）和国家医学图书馆医学主题标题（MeSH）的“疾病”分支。为了最大限度地发挥两者的优势，CTD biocurators采取了一项新的举措，将OMIM疾病术语的平面列表映射到MeSH词汇表的分层性质中。其结果是CTD的“合并疾病词汇表”（MEDIC），这是一个独特的资源，将OMIM术语，同义词和标识符与MeSH术语，同义词，定义，标识符和层次关系集成在一起。MEDIC是一个既深刻又广泛的词汇表，由超过67000个术语（包括同义词）描述的9700种独特疾病组成。它可以从CTD免费下载各种格式。虽然既不是真正的本体论，也不是完美的解决方案，但这个词汇表已经被证明是非常成功和实用的，我们的生物制造商在CTD中产生了超过250万个疾病相关的毒理基因组学关系。其他外部数据库也开始采用MEDIC作为其疾病词汇。在这里，我们描述了MEDIC的建设，实施，维护和使用，以提高人们对这一资源的认识，并提供它作为一个假定的脚手架正式建设的官方疾病本体。数据库URL：http://ctd.mdibl.org/voc.go?类型=疾病
The Comparative Toxicogenomics Database (CTD) is a public resource that promotes understanding about the effects of environmental chemicals on human health. CTD biocurators manually curate a triad of chemical–gene, chemical–disease and gene–disease relationships from the scientific literature. The CTD curation paradigm uses controlled vocabularies for chemicals, genes and diseases. To curate disease information, CTD first had to identify a source of controlled terms. Two resources seemed to be good candidates: the Online Mendelian Inheritance in Man (OMIM) and the ‘Diseases’ branch of the National Library of Medicine's Medical Subject Headers (MeSH). To maximize the advantages of both, CTD biocurators undertook a novel initiative to map the flat list of OMIM disease terms into the hierarchical nature of the MeSH vocabulary. The result is CTD’s ‘merged disease vocabulary’ (MEDIC), a unique resource that integrates OMIM terms, synonyms and identifiers with MeSH terms, synonyms, definitions, identifiers and hierarchical relationships. MEDIC is both a deep and broad vocabulary, composed of 9700 unique diseases described by more than 67 000 terms (including synonyms). It is freely available to download in various formats from CTD. While neither a true ontology nor a perfect solution, this vocabulary has nonetheless proved to be extremely successful and practical for our biocurators in generating over 2.5 million disease-associated toxicogenomic relationships in CTD. Other external databases have also begun to adopt MEDIC for their disease vocabulary. Here, we describe the construction, implementation, maintenance and use of MEDIC to raise awareness of this resource and to offer it as a putative scaffold in the formal construction of an official disease ontology. Database URL: http://ctd.mdibl.org/voc.go?type=disease
登录
查看更多内容
影响因子：
14.9
作者：
Davis AP;Murphy CG;Saraceni-Richards CA;Rosenstein MC;Wiegers TC;Mattingly CJ
通讯作者：
Mattingly CJ
影响因子：
14.9
作者：
Blake JA;Bult CJ;Kadin JA;Richardson JE;Eppig JT;Mouse Genome Database Group
通讯作者：
Mouse Genome Database Group
影响因子：
3.9
作者：
Amberger, Joanna;Bocchini, Carol;Hamosh, Ada
通讯作者：
Hamosh, Ada
影响因子：
1.9
作者：
Davis, Allan Peter;Murphy, Cynthia G.;Mattingly, Carolyn J.
通讯作者：
Mattingly, Carolyn J.
影响因子：
14.9
作者：
Davis AP;King BL;Mockus S;Murphy CG;Saraceni-Richards C;Rosenstein M;Wiegers T;Mattingly CJ
通讯作者：
Mattingly CJ