...
首页> 外文期刊>European journal of human genetics: EJHG >The expanded human disease network combining protein-protein interaction information.
【24h】

The expanded human disease network combining protein-protein interaction information.

机译:扩增的人类疾病网络结合蛋白质 - 蛋白质相互作用信息。

获取原文
获取原文并翻译 | 示例
           

摘要

The human disease network (HDN) has become a powerful tool for revealing disease-disease associations. Some studies have shown that genes that share similar or same disease phenotypes tend to encode proteins that interact with each other. Therefore, protein-protein interactions (PPIs) may help us to further understand the relationships between diseases with overlapping clinical phenotypes. In this study, we constructed the expanded HDN (eHDN) by combining disease gene information with PPI information, and analyzed its topological features and functional properties. We found that the network is hierarchical and, most diseases are connected to only a few diseases, whereas a small part of diseases are linked to many different diseases. Diseases in a specific disease class tend to cluster together, and genes associated with the same disease are functionally related. Comparing the eHDN with the original HDN (oHDN, constructed using disease gene information) revealed high consistency over all topological and functional properties. This, to some extent, indicates that our eHDN is reliable. In the eHDN, we found some new associations among diseases resulting from the shared genes interacting with disease genes. The new eHDN will provide a valuable reference for clinicians and medical researchers.
机译:人类疾病网络(HDN)已成为揭示疾病关联的强大工具。一些研究表明,享有类似或相同的疾病表型的基因倾向于编码彼此相互作用的蛋白质。因此,蛋白质 - 蛋白质相互作用(PPI)可以帮助我们进一步了解具有重叠临床表型之间的疾病之间的关系。在这项研究中,通过将疾病基因信息与PPI信息组合并分析其拓扑特征和功能性,构建了扩增的HDN(EHDN)。我们发现网络是等级的,大多数疾病只与少数疾病相连,而一小部分疾病与许多不同的疾病联系起来。特定疾病阶级的疾病倾向于聚集在一起,与同一疾病相关的基因在功能上有关。将EHDN与原始HDN(OHDN,使用疾病基因信息构建的OHDN进行比较)显示出对所有拓扑和功能性质的高一致性。在某种程度上,这表明我们的EHDN是可靠的。在EHDN中,我们在与疾病基因相互作用的共同基因产生的疾病中发现了一些新的关联。新的EHDN将为临床医生和医学研究人员提供有价值的参考。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号