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SZDB2.0: an updated comprehensive resource for schizophrenia research
Yong Wu1,2, Xiaoyan Li1,2, Jiewei Liu1
1Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, 650223, Yunnan, China.
Human Genetics
|May 10, 2020
Summary
The SZDB2.0 database now integrates the largest schizophrenia genome-wide association study and copy number variation data. This updated resource aids researchers in identifying causal genes for schizophrenia.
Area of Science:
- Genetics
- Neuroscience
- Bioinformatics
Background:
- Schizophrenia research has identified numerous genes through genetic, epigenetic, and gene expression studies.
- Systematically pinpointing causal genes from vast published data remains a significant challenge.
Purpose of the Study:
- To release an updated and enhanced comprehensive database, SZDB2.0, for schizophrenia research.
- To improve data integration, analysis tools, and user interface for better data retrieval and visualization.
Main Methods:
- Integrated the latest genome-wide association study (GWAS) data, including the CLOZUK+PGC study.
- Included comprehensive data on copy number variations (CNVs) from 77 publications.
- Updated genetic, gene expression, methylation, and QTL data, alongside protein-protein interaction information.
- Developed a polygenic risk score calculator and optimized the database query interface.
Main Results:
- SZDB2.0 incorporates expanded genetic and CNV data, offering a more complete resource.
- The database features a new polygenic risk score calculator for enhanced analysis.
- Optimized interface provides better visualization and data retrieval for schizophrenia research.
Conclusions:
- The enhanced SZDB2.0 database provides a powerful, integrated platform for schizophrenia genetic research.
- This resource facilitates the systematic identification of causal genes and advancement of schizophrenia research.
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