DocumentCode :
1934125
Title :
Schizophrenia Genes: Characteristics of Function and Protein Interaction Networks
Author :
Sun, Jingchun ; Han, Leng ; Zhao, Zhongming
Author_Institution :
Dept. of Psychiatry, Virginia Commonwealth Univ., Richmond, VA
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
437
Lastpage :
441
Abstract :
Schizophrenia is a heritable complex disease that involves multiple genes interacting themselves or with environment. Its genetic mechanisms have not been well understood. Currently, studies have revealed hundreds of genes associated with schizophrenia. This provides us an opportunity to explore the molecular characteristics of schizophrenia genes (SCZGenes) using genomics and systems biology approaches. In this study, we selected SCZGenes based on the published association studies and examined their functional features by comparing to the neurodevelopmental genes and control genes. We revealed that SCZGenes have strong correlation with neurodevelopment and other functional term. We further investigated the topological characteristics of SCZGenes in the human protein interaction network. We found that SCZGenes do not tend to encode hub proteins; rather they interact in a modest degree. Finally, we extracted SCZGenes subnetworks, which may be further analyzed with other information.
Keywords :
diseases; genetics; molecular biophysics; neurophysiology; proteins; gene topological characteristics; genetic mechanisms; genomics biology; heritable complex disease; human protein interaction networks; molecular characteristics; multiple genes interaction; neurodevelopmental genes; schizophrenia genes; Bioinformatics; Biomedical engineering; Biomedical informatics; Diseases; Genetics; Genomics; Humans; Proteins; Spatial databases; Systems biology; Schizophrenia genes; gene feature; gene network; protein-protein interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.227
Filename :
4548707
Link To Document :
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