Literature DB >> 23671194

Protein-protein interaction and pathway analyses of top schizophrenia genes reveal schizophrenia susceptibility genes converge on common molecular networks and enrichment of nucleosome (chromatin) assembly genes in schizophrenia susceptibility loci.

Xiongjian Luo1, Liang Huang, Peilin Jia, Ming Li, Bing Su, Zhongming Zhao, Lin Gan.   

Abstract

Recent genome-wide association studies have identified many promising schizophrenia candidate genes and demonstrated that common polygenic variation contributes to schizophrenia risk. However, whether these genes represent perturbations to a common but limited set of underlying molecular processes (pathways) that modulate risk to schizophrenia remains elusive, and it is not known whether these genes converge on common biological pathways (networks) or represent different pathways. In addition, the theoretical and genetic mechanisms underlying the strong genetic heterogeneity of schizophrenia remain largely unknown. Using 4 well-defined data sets that contain top schizophrenia susceptibility genes and applying protein-protein interaction (PPI) network analysis, we investigated the interactions among proteins encoded by top schizophrenia susceptibility genes. We found proteins encoded by top schizophrenia susceptibility genes formed a highly significant interconnected network, and, compared with random networks, these PPI networks are statistically highly significant for both direct connectivity and indirect connectivity. We further validated these results using empirical functional data (transcriptome data from a clinical sample). These highly significant findings indicate that top schizophrenia susceptibility genes encode proteins that significantly directly interacted and formed a densely interconnected network, suggesting perturbations of common underlying molecular processes or pathways that modulate risk to schizophrenia. Our findings that schizophrenia susceptibility genes encode a highly interconnected protein network may also provide a novel explanation for the observed genetic heterogeneity of schizophrenia, ie, mutation in any member of this molecular network will lead to same functional consequences that eventually contribute to risk of schizophrenia.

Entities:  

Keywords:  common molecular networks; enrichment; genetic heterogeneity; genome-wide association study; protein-protein interaction; schizophrenia susceptibility genes

Mesh:

Substances:

Year:  2013        PMID: 23671194      PMCID: PMC3885298          DOI: 10.1093/schbul/sbt066

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


  39 in total

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  21 in total

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4.  The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders.

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5.  Convergent Lines of Evidence Support LRP8 as a Susceptibility Gene for Psychosis.

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6.  Integrating Clinical Data and Imputed Transcriptome from GWAS to Uncover Complex Disease Subtypes: Applications in Psychiatry and Cardiology.

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Review 7.  Molecular network analysis enhances understanding of the biology of mental disorders.

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8.  Systematic prioritization and integrative analysis of copy number variations in schizophrenia reveal key schizophrenia susceptibility genes.

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Journal:  Schizophr Bull       Date:  2014-03-24       Impact factor: 9.306

9.  Transcriptome-wide association study identifies new susceptibility genes and pathways for depression.

Authors:  Xiaoyan Li; Xi Su; Jiewei Liu; Huijuan Li; Ming Li; Wenqiang Li; Xiong-Jian Luo
Journal:  Transl Psychiatry       Date:  2021-05-21       Impact factor: 6.222

10.  Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals.

Authors:  Suhua Chang; Kechi Fang; Kunlin Zhang; Jing Wang
Journal:  PLoS One       Date:  2015-07-20       Impact factor: 3.240

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