title: SZDB: A Database for Schizophrenia Genetic Research.
abstract: 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.
authors.affiliation: Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.|Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.|Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.|CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.|YGY and XJL are co-corresponding authors who jointly directed this work.
authors.forename: Yong-Gang
authors.initials: YG
authors.lastname: Yao
authors.affiliation: Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.|Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.|YGY and XJL are co-corresponding authors who jointly directed this work.
authors.forename: Xiong-Jian
authors.initials: XJ
authors.lastname: Luo
mesh_terms: D035843:Biomedical Research; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D055106:Genome-Wide Association Study; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D060066:Protein Interaction Maps / Q000235:genetics*; D012559:Schizophrenia / Q000235:genetics*
keywords: database; gene expression; genetic study; integrative analysis; schizophrenia