SZDB: A Database for Schizophrenia Genetic Research | |
Wu Y[1,2]1,2; Yao YG1,2,3; Luo XJ[*]1,2 | |
刊名 | Schizophrenia Bulletin
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2017 | |
卷号 | 43期号:2页码:459–471 |
关键词 | schizophrenia genetic study database gene expression integrative analysis |
通讯作者 | luoxiongjian@mail.kiz.ac.cn |
合作状况 | 其它 |
英文摘要 | Schizophrenia (SZ) is a debilitating brain disorder with a complex genetic architecture. Genetic studies, especially recent genome-wide association studies (GWAS), have identified multiple variants (loci) conferring risk to SZ. However, how to efficiently extract meaningful biological information from bulk genetic findings of SZ remains a major challenge. There is a pressing need to integrate multiple layers of data from various sources, eg, genetic findings from GWAS, copy number variations (CNVs), association and linkage studies, gene expression, protein-protein interaction (PPI), co-expression, expression quantitative trait loci (eQTL), and Encyclopedia of DNA Elements (ENCODE) data, to provide a comprehensive resource to facilitate the translation of genetic findings into SZ molecular diagnosis and mechanism study. Here we developed the SZDB database (http://www.szdb.org/), a comprehensive resource for SZ research. SZ genetic data, gene expression data, network-based data, brain eQTL data, and SNP function annotation information were systematically extracted, curated and deposited in SZDB. In-depth analyses and systematic integration were performed to identify top prioritized SZ genes and enriched pathways. Multiple types of data from various layers of SZ research were systematically integrated and deposited in SZDB. In-depth data analyses and integration identified top prioritized SZ genes and enriched pathways. We further showed that genes implicated in SZ are highly co-expressed in human brain and proteins encoded by the prioritized SZ risk genes are significantly interacted. The user-friendly SZDB provides high-confidence candidate variants and genes for further functional characterization. More important, SZDB provides convenient online tools for data search and browse, data integration, and customized data analyses. |
收录类别 | SCI |
资助信息 | Strategic Priority Research Program (B) of the Chinese Academy of Sciences (XDB02020003); 1000 Young Talents Program. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://159.226.149.26:8080/handle/152453/10349] ![]() |
专题 | 昆明动物研究所_重大疾病机理的遗传学 昆明动物研究所_动物模型与人类重大疾病机理重点实验室 昆明动物研究所_神经系统疾病 |
作者单位 | 1.Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China 2.Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China |
推荐引用方式 GB/T 7714 | Wu Y[1,2],Yao YG,Luo XJ[*]. SZDB: A Database for Schizophrenia Genetic Research[J]. Schizophrenia Bulletin,2017,43(2):459–471. |
APA | Wu Y[1,2],Yao YG,&Luo XJ[*].(2017).SZDB: A Database for Schizophrenia Genetic Research.Schizophrenia Bulletin,43(2),459–471. |
MLA | Wu Y[1,2],et al."SZDB: A Database for Schizophrenia Genetic Research".Schizophrenia Bulletin 43.2(2017):459–471. |
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