冠心病相关多病共存现象的分子网络研究

项目名称： 冠心病相关多病共存现象的分子网络研究

项目编号： No.31201000

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 遗传学与生物信息学、细胞生物学

项目作者： 刘辉

作者单位： 华中科技大学

项目金额： 20万元

中文摘要： 多病共存是威胁人类健康的重要疾病形态，其治疗难度大、致死致残率高，其中合并冠心病的多病共存现象尤为突出。本项目通过分析疾病基因间的相互关系，从基因层次研究各种疾病与冠心病之间的联系，探讨冠心病相关多病共存现象。首先，利用此前整合基因间表达调控和蛋白相互作用等多层次的相互作用关系而构建的人类基因网络，分析各种疾病间的关联，确定冠心病相关疾病集群。然后，利用基因网络，预测该疾病集群内部各疾病与冠心病间可能的共用致病基因，并进一步整合miRNA和转录因子等调控因子的调控关系，构建该疾病集群所对应的立体分子网络，预测可能的共用疾病通路。最后，利用现有的糖尿病合并冠心病、中风合并冠心病等病例样本，设计实验验证这些疾病间的5~8个共用致病基因。本项目从分子网络研究多病共存的机制，为发现新的疾病基因和解析疾病机理提供基础，也为其他多病共存现象的研究提供新的研究方向，有重要的应用价值和学术意义。

中文关键词： 数据挖掘；相似性度量；网络分析；层次性社团结构；共患病

英文摘要： Multimorbidity is the norm rather than the exception in primary care patients and affects quality of life, disability and mortality, especially the case with stable coronary artery disease (CAD). Information about interactions of diseases can help to facilitate diagnosis, amend prevention and enhance the patients' quality of life. The aim of this study is to explore the relations between CAD and its comorbid diseases at the molecular level and increase the knowledge of their interactions. First, a human disease network would be constructed based on a genome-wide gene interaction network and then diseases highly related with CAD in the disease network would be picked out to compose the CAD-related disease cluster, in which the disease might be a comorbid disease of CAD. Second, for each disease in the cluster, some shared disease genes and disease-causing processes or pathways between it and CAD would be predicted. At last, all the predicted result would be assessed, therein 5~8 shared disease genes would be assessed by candidate gene association study and gene expression study with blood sample of corresponding patients such as patient with diabetes and CAD, and the others by literature research and related data mining. This project will study the mechanisms of CAD-related multimorbidity at the molecular network

英文关键词： data mining；similarity measurement；network analysis；hierarchical community structure；comorbidity disease