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SZDB2.0:一个更新的精神分裂症研究综合资源。

SZDB2.0: an updated comprehensive resource for schizophrenia research.

机构信息

Key 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.

Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, Yunnan, China.

出版信息

Hum Genet. 2020 Oct;139(10):1285-1297. doi: 10.1007/s00439-020-02171-1. Epub 2020 May 8.

Abstract

During the past decade, genetic studies of schizophrenia have become one of the most exciting and fast-moving areas. Hundreds of genes implicated in schizophrenia have been identified by genetic, epigenetic, and gene expression studies. However, how to systematically and efficiently use these published data to pinpoint the causal genes becomes a major challenge in schizophrenia research. Here, we release an updated version of a comprehensive database for schizophrenia research, SZDB2.0 ( www.szdb.org ), which accompanies significant data expansion and feature improvements, as well as functionality optimization. Compared with the first version (SZDB), the current database has the following updates: (1) We added the newly published genome-wide association study (GWAS) of schizophrenia from CLOZUK + PGC, which is the largest GWAS for schizophrenia; (2) We included a polygenic risk score calculator; (3) In the refined "Gene" module of SZDB2.0, we collated genetic, gene expression, methylation, and integrative results of all available schizophrenia studies; (4) In the "CNV (copy number variation)" module, we collated the results of all 77 CNV publications about schizophrenia; (5) We also updated other data, including gene expression quantitative trait loci (eQTL), transcript QTL, methylation QTL, and protein-protein interaction data, based on the information from the latest literatures. We optimized the query interface of SZDB2.0 for a better visualization and data retrieval. The updated SZDB2.0 will advance the research of schizophrenia.

摘要

在过去的十年中,精神分裂症的遗传学研究已成为最令人兴奋和快速发展的领域之一。通过遗传、表观遗传和基因表达研究,已经确定了数百个与精神分裂症相关的基因。然而,如何系统有效地利用这些已发表的数据来确定因果基因,已成为精神分裂症研究中的主要挑战。在这里,我们发布了一个经过更新的精神分裂症综合数据库 SZDB2.0(www.szdb.org),它伴随着数据的大量扩充和功能的改进,以及功能优化。与第一版(SZDB)相比,当前数据库有以下更新:(1)我们添加了 CLOZUK+PGC 发表的最新精神分裂症全基因组关联研究(GWAS),这是最大的精神分裂症 GWAS;(2)我们增加了多基因风险评分计算器;(3)在 SZDB2.0 的“基因”模块中,我们整理了所有可用的精神分裂症研究的遗传、基因表达、甲基化和综合结果;(4)在“CNV(拷贝数变异)”模块中,我们整理了所有 77 篇关于精神分裂症的 CNV 出版物的结果;(5)我们还根据最新文献的信息更新了其他数据,包括基因表达数量性状基因座(eQTL)、转录 QTL、甲基化 QTL 和蛋白质-蛋白质相互作用数据。我们优化了 SZDB2.0 的查询界面,以获得更好的可视化和数据检索。更新后的 SZDB2.0 将推进精神分裂症的研究。

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