KMS KUNMING INSTITUTE OF ZOOLOGY.CAS
| Systems-level analysis of risk genes reveals the modular nature of schizophrenia | |
Jiewei Liu1,3; Bing Su1,4 ; Xiong-Jian Luo2,4
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| 2018 | |
| 发表期刊 | Schizophrenia Research
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| 期号 | *页码:9 |
| 摘要 | Schizophrenia (SCZ) is a complex mental disorder with high heritability. Genetic studies (especially recent ge-nome-wide association studies) have identified many risk genes for schizophrenia. However, the physical inter-actions among the proteins encoded byschizophreniariskgenes remain elusiveand itisnotknown whethertheidentifiedriskgenesconvergeoncommonmolecularnetworksorpathways.Herewesystematicallyinvestigatedthe network characteristics of schizophrenia risk genes using the high-confidence protein-protein interactions(PPI) from the human interactome. We found that schizophrenia risk genes encode a densely interconnectedPPI network (P = 4.15 × 10 −31 ). Compared with the background genes, the schizophrenia risk genes in the in-teractome have significantly higher degree (P = 5.39 × 10 −11 ), closeness centrality (P = 7.56 × 10 −11 ),betweeness centrality (P = 1.29 × 10 −11 ), clusteringcoefficient (P = 2.22 × 10 −2 ), and shorter average shortestpath length (P = 7.56 × 10 −11 ). Based on the densely interconnected PPI network, we identified 48 hub genesand 4 modules formed by highly interconnected schizophrenia genes. We showed that the proteins encodedbyschizophrenia hubgenes have significantlymoredirect physicalinteractions. Geneontology(GO)analysisre-vealed that cell adhesion, cell cycle, immune system response, and GABR-receptor complex categories wereenriched in the modules formed by highly interconnected schizophrenia risk genes. Our study reveals thatschizophreniariskgenesencodeadenselyinterconnectedmolecularnetworkanddemonstratesthemodularna-ture of schizophrenia. |
| 关键词 | Schizophrenia Protein-protein Interaction Molecular Network Disease Module Spatio-temporal Expression Pattern |
| DOI | 10.1016/j.schres.2018.05.015 |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.kiz.ac.cn/handle/152453/12297 |
| 专题 | 科研部门_神经系统疾病(罗雄剑) |
| 通讯作者 | Xiong-Jian Luo |
| 作者单位 | 1.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China 2.Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China 3.Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China 4.Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China |
| 推荐引用方式 GB/T 7714 | Jiewei Liu,Bing Su,Xiong-Jian Luo. Systems-level analysis of risk genes reveals the modular nature of schizophrenia[J]. Schizophrenia Research,2018(*):9. |
| APA | Jiewei Liu,Bing Su,&Xiong-Jian Luo.(2018).Systems-level analysis of risk genes reveals the modular nature of schizophrenia.Schizophrenia Research(*),9. |
| MLA | Jiewei Liu,et al."Systems-level analysis of risk genes reveals the modular nature of schizophrenia".Schizophrenia Research .*(2018):9. |
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| 86.pdf(1480KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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