大数据时代的疾病样本库

Biobank in the age of big data

大数据时代，研究者更关注样本的生物信息数据与疾病临床信息的相关性，通过大样本的关联分析，来预测疾病的发生、发展与转归。疾病样本库便是关联疾病临床信息与样本生物学信息的桥梁与核心，相关信息的数量多少和多样性，尤其是样本及其信息的质量和标准化程度，将决定并影响大数据预测的结果。因此，建立疾病样本库的质量管理制度、确立相关质量检测的方法以及实现样本库质量的持续改进是疾病研究的迫切需求。

In big data era, researchers pay more attention to the correlation between biological information of patient samples and related clinical information of diseases. The large volume correlation analysis will help predict the initiation, development and outcome for specific diseases. Disease-related biobank is the core facility bridging the gap between the clinical information and biological information of the disease. The volume, diversity, and especially the quality, and standardization of sample and sample-related information will influence the outcome of big data prediction. Therefore, the establishment of quality management system, and implement of standard inspection and test method are very urgent for continuous improvement of biobanks.