A network medicine approach to quantify distance between hereditary disease modules on the interactome.
A network medicine approach to quantify distance between hereditary disease modules on the interactome.
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DOI：
10.1038/srep17658
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发表时间：
2015-12-03
影响因子：
4.6
通讯作者：
Paccanaro A
中科院分区：
文献类型：
--
作者：
Caniza H;Romero AE;Paccanaro A
我们介绍了一种基于mesh的方法，在分子水平上准确量化遗传疾病之间的相似性。这种方法有效地汇集了分散在大量生物医学文献中有关疾病的现有信息。我们证明了MeSH术语集提供了遗传性疾病的高度描述性表示，MeSH的结构提供了一种结合单个MeSH词汇表的自然方式。我们表明，我们的测量可以有效地用于预测候选疾病基因。我们开发了一个web应用程序，根据我们的相似性度量查询7,574种遗传性疾病（96%的OMIM）之间的2850多万个关系。
We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure.