Moreno-Villanueva María, Kötter Tobias, Sindlinger Thilo, Baur Jennifer, Oehlke Sebastian, Bürkle Alexander, Berthold Michael R
Molecular Toxicology Group, Department of Biology, University of Konstanz, 78457 Konstanz, Germany.
Chair for Bioinformatics and Information Mining, University of Konstanz, Konstanz, Germany.
Mech Ageing Dev. 2015 Nov;151:26-30. doi: 10.1016/j.mad.2015.03.005. Epub 2015 Mar 27.
In the context of the MARK-AGE study, anthropometric, clinical and social data as well as samples of venous blood, buccal mucosal cells and urine were systematically collected from 3337 volunteers. Information from about 500 standardised questions and about 500 analysed biomarkers needed to be documented per individual. On the one hand handling with such a vast amount of data necessitates the use of appropriate informatics tools and the establishment of a database. On the other hand personal information on subjects obtained as a result of such studies has, of course, to be kept confidential, and therefore the investigators must ensure that the subjects' anonymity will be maintained. Such secrecy obligation implies a well-designed and secure system for data storage. In order to fulfil the demands of the MARK-AGE study we established a phenotypic database for storing information on the study subjects by using a doubly coded system.
在“MARK-AGE研究”的背景下，我们从3337名志愿者那里系统收集了人体测量学、临床和社会数据以及静脉血、颊黏膜细胞和尿液样本。每个个体需要记录来自约500个标准化问题的信息和约500个经分析的生物标志物。一方面，处理如此大量的数据需要使用适当的信息学工具并建立一个数据库。另一方面，当然，通过此类研究获得的受试者个人信息必须保密，因此研究人员必须确保维持受试者的匿名性。这种保密义务意味着要有一个设计良好且安全的数据存储系统。为了满足“MARK-AGE研究”的要求，我们使用双重编码系统建立了一个表型数据库，用于存储研究对象的信息。
