摘要
目的从通路水平探讨乳腺癌发病的相关基因。方法使用i-GSEA4GWASv2和ICSNPathway对GRASPv2.0中乳腺癌的GWAS数据进行基因富集分析,有意义的GO通路依照GO数据库注释构建有向无环图。结果与乳腺癌发生有关的4条通路:小GTP酶介导的信号转导(P平均=0.002;FDR平均=0.017)、GnRH信号通路(P_(平均)=0.005;FDR_(平均)=0.041)、MAPK信号通路(P_(平均)=0.001;FDR_(平均)=0.026)、长时程增强通路(P_(平均)=0.002;FDR_(平均)=0.025)。结论为乳腺癌发病机制从小GTP酶信号转导、刺激信号传递、性腺激素释放激素方面提供了新的思路。
Objective To explore the genes related to breast cancer at the pathway level.Methods Gene enrichment analysis of breast cancer GWAS data in GRASPv2.0 was performed using i-GSEA4GWASv2 and ICSNPathway.Directed acyclic graphs were constructed according to GO database annotations.Results Four pathways related to breast cancer:small GTPase-mediated signal transduction(Paverage=0.002;FDR average=0.017),GnRH signal pathway(Paverage=0.005;FDR average=0.041),MAPK signal pathway(Paverage=0.001;FDRaverage=0.026),long-term enhancement pathway(Paverage=0.002;FDRaverage=0.025).Conclusion It provides new ideas for breast cancer pathogenesis from small GTPase signal transduction,stimulation signal transmission,and gonadotropin releasing hormone.
作者
葛杰
贾月辉
李继媛
王琪
韩云峰
谢志平
杨晓蕾
郑毅
GE Jie;JIA Yue-hui;LI Ji-yuan;WANG Qi;HAN Yun-feng;XIE Zhi-ping;YANG Xiao-lei;ZHENG Yi(Department of Epidemiology and Health Statistics,Qiqihar Medical College,Qiqihar,Heilongjiang Province,161006 China;Experimental Teaching Center of Qiqihar Medical College,Qiqihar,Heilongjiang Province,161006 China;Department of Immunology,Qiqihar Medical College,Qiqihar,Heilongjiang Province,161006 China;Department of Preventive Medicine,Qiqihar Medical College,Qiqihar,Heilongjiang Province,161006 China;Department of General Medicine,Qiqihar Medical College,Qiqihar,Heilongjiang Province,161006 China)
出处
《系统医学》
2020年第11期29-33,共5页
Systems Medicine
基金
黑龙江省教育厅面上项目(2016-KYYWF-0885)。
关键词
富集分析
乳腺癌
通路分析
Enrichment analysis
Breast cancer
Pathway analysis