IR@PKUHSC  > 北京大学精神卫生研究所
学科主题精神卫生
Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population
Yu, Hao1,2; Bi, Wenjian3; Liu, Chenxing1,2; Zhao, Yanlong3; Zhang, Ji-Feng3; Zhang, Dai1,2,4,5; Yue, Weihua1,2
关键词Schizophrenia Genome-wide association study Protein-interaction-network-based analysis Susceptibility gene Pathway Network
刊名JOURNAL OF PSYCHIATRIC RESEARCH
2014-03-01
DOI10.1016/j.jpsychires.2013.11.014
50页:73-78
收录类别SCI ; SSCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Psychiatry
研究领域[WOS]Psychiatry
关键词[WOS]COMMON VARIANTS ; MISSING HERITABILITY ; BIPOLAR DISORDER ; CONFERRING RISK ; PATHWAYS ; DISEASES ; DIFFERENTIATION ; LOCI
英文摘要

Schizophrenia is a severe neuropsychiatric disorder with a strong and complex genetic background. Recent genome-wide association studies (GWAS) have successfully identified several susceptibility loci of schizophrenia. In order to interpret the functional role of the genetic variants and detect the combined effects of some of these genes on schizophrenia, protein-interaction-network-based analysis (PINBA) has emerged as an effective approach. In the current study, we conducted a PINBA of our previous GWAS data taken from the Han Chinese population. In order to do so, we used dense module search (DMS), a method that locates densely connected modules for complex diseases by integrating the association signal from GWAS datasets into the human protein protein interaction (PPI) network. As a result, we identified one gene set with a joint effect significantly associated with schizophrenia and gene expression profiling analysis suggested that they were mainly neuro- and immune-related genes, such as glutamatergic gene (GRM5), GABAergic genes (GABRB1, GABARAP) and genes located in the MHC region (HLA-C, TAP2, HIST1H1B). Further pathway enrichment analysis suggested that these genes are involved in processes related to neuronal and immune systems, such as the Adherens junction pathway, the Neurotrophin signaling pathway and the Toll-like receptor signaling pathway. In our study, we identified a set of susceptibility genes that had been missed in single-marker GWAS, and our findings could promote the study of the genetic mechanisms in schizophrenia. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.

语种英语
WOS记录号WOS:000331160800010
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/66918
Collection北京大学精神卫生研究所
北京大学第一临床医学院_妇产科
北京大学精神卫生研究所_精神科
作者单位1.Peking Univ, Inst Mental Hlth, Beijing 100191, Peoples R China
2.Peking Tsinghua Ctr Life Sci, Beijing, Peoples R China
3.Peking Univ, Hosp 6, Inst Mental Hlth, Key Lab Mental Hlth,Minist Hlth, Beijing 100191, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
5.Peking Univ, PKU IDG McGovern Inst Brain Res, Beijing 100191, Peoples R China
Recommended Citation
GB/T 7714
Yu, Hao,Bi, Wenjian,Liu, Chenxing,et al. Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population[J]. JOURNAL OF PSYCHIATRIC RESEARCH,2014,50:73-78.
APA Yu, Hao.,Bi, Wenjian.,Liu, Chenxing.,Zhao, Yanlong.,Zhang, Ji-Feng.,...&Yue, Weihua.(2014).Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population.JOURNAL OF PSYCHIATRIC RESEARCH,50,73-78.
MLA Yu, Hao,et al."Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population".JOURNAL OF PSYCHIATRIC RESEARCH 50(2014):73-78.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
谷歌学术
谷歌学术Similar articles in
[Yu, Hao]'s Articles
[Bi, Wenjian]'s Articles
[Liu, Chenxing]'s Articles
百度学术
百度学术Similar articles in
[Yu, Hao]'s Articles
[Bi, Wenjian]'s Articles
[Liu, Chenxing]'s Articles
必应学术
必应学术Similar articles in
[Yu, Hao]'s Articles
[Bi, Wenjian]'s Articles
[Liu, Chenxing]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.