Schönherr Sebastian, Weissensteiner Hansi, Coassin Stefan, Specht Günther, Kronenberg Florian, Brandstätter Anita
Department of Database and Information Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria.
BMC Bioinformatics. 2009 May 11;10:139. doi: 10.1186/1471-2105-10-139.
High-throughput genotyping and phenotyping projects of large epidemiological study populations require sophisticated laboratory information management systems. Most epidemiological studies include subject-related personal information, which needs to be handled with care by following data privacy protection guidelines. In addition, genotyping core facilities handling cooperative projects require a straightforward solution to monitor the status and financial resources of the different projects.
We developed a database system for an efficient combination and management of phenotypes and genotypes (eCOMPAGT) deriving from genetic epidemiological studies. eCOMPAGT securely stores and manages genotype and phenotype data and enables different user modes with different rights. Special attention was drawn on the import of data deriving from TaqMan and SNPlex genotyping assays. However, the database solution is adjustable to other genotyping systems by programming additional interfaces. Further important features are the scalability of the database and an export interface to statistical software.
eCOMPAGT can store, administer and connect phenotype data with all kinds of genotype data and is available as a downloadable version at (http://dbis-informatik.uibk.ac.at/ecompagt).
大型流行病学研究人群的高通量基因分型和表型分析项目需要复杂的实验室信息管理系统。大多数流行病学研究包含与受试者相关的个人信息,需要遵循数据隐私保护准则谨慎处理。此外,处理合作项目的基因分型核心设施需要一种直接的解决方案来监控不同项目的状态和财务资源。
我们开发了一个数据库系统,用于高效整合和管理来自遗传流行病学研究的表型和基因型数据(eCOMPAGT)。eCOMPAGT安全地存储和管理基因型和表型数据,并支持具有不同权限的不同用户模式。特别关注了来自TaqMan和SNPlex基因分型检测的数据导入。然而,通过编写额外的接口,该数据库解决方案可适应其他基因分型系统。其他重要特性包括数据库的可扩展性和一个用于统计软件的导出接口。
eCOMPAGT可以存储、管理并将表型数据与各种基因型数据相连接,可在(http://dbis-informatik.uibk.ac.at/ecompagt)下载使用。