Human symptoms-disease network
Human symptoms-disease network
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人体症状-疾病网
DOI：
10.1038/ncomms5212
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发表时间：
2014-06-01
影响因子：
16.6
通讯作者：
Sharma, Amitabh
中科院分区：
文献类型：
--
作者：
Zhou, XueZhong;Menche, Joerg;Sharma, Amitabh
在后基因组时代，阐明疾病的分子起源及其产生的表型之间的关系是医学研究的关键任务。本研究利用大型生物医学文献数据库，构建基于症状的人类疾病网络，探讨疾病临床表现与其潜在分子相互作用之间的联系。我们发现两种疾病基于症状的相似性与共享遗传关联的数量及其相关蛋白相互作用的程度密切相关。此外，疾病临床表现的多样性可能与潜在蛋白质相互作用网络的连接模式有关。疾病-症状关系的全面、高质量地图可进一步用作帮助解决系统医学领域重要问题的资源，例如，确定疾病之间的意外关联、疾病病因学研究或药物设计。
In the post-genomic era, the elucidation of the relationship between the molecular origins of diseases and their resulting phenotypes is a crucial task for medical research. Here, we use a large-scale biomedical literature database to construct a symptom-based human disease network and investigate the connection between clinical manifestations of diseases and their underlying molecular interactions. We find that the symptom-based similarity of two diseases correlates strongly with the number of shared genetic associations and the extent to which their associated proteins interact. Moreover, the diversity of the clinical manifestations of a disease can be related to the connectivity patterns of the underlying protein interaction network. The comprehensive, high-quality map of disease-symptom relations can further be used as a resource helping to address important questions in the field of systems medicine, for example, the identification of unexpected associations between diseases, disease etiology research or drug design.