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生物样本库的信息化管理与信息应用 被引量:21

Biobank information management and sample annotation for usability
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摘要 生物样本库的信息化管理与信息应用是生物样本库建设阶段中必不可少的两大元素,其重要作用也必将贯穿生物样本库发展与应用的全过程。中国生物样本库建设与发展是从认识改变到改变现实的发展历程,随着生物样本量的快速积累,由于缺乏对生物样本的认识,使样本应用成为一大难题。因此,了解生物样本性能和特征,才能解决是否适合科研需要和如何应用样本这两个关键问题,而保证生物样本质量、信息注释和样本应用三者相辅相成的关键点是信息化管理生物样本库。 How to apply information management system to track and manage entire workflow-driven procedure of sample collection, processing, storage and distribution, and how to characterize biological samples with associated information, are two imperative components of best operation and management in a biobank. Moving from concept to practice, biobanking in China has survived several challenges when researchers first realized the quality of stored samples could have great impact on the quality of research, followed by facing the challenge that banked samples have limited usability. That is the third issue since samples lack annotation with associated information from clinical and other resources. This issue challenges scientists to determine if samples are appropriate for answering a given scientific questions. It turns out to be a waste of time and money by banking large accumulation of samples if the issues are not solved. Sample holds little value itself without associated clinical and other information. It is only a transit form before the biological data reflecting health or disease status can be extracted throughout multiple ways. By following the biomarkers and related indicators in samples, scientists can discover the dynamic changing set from health to disease, followed by recovery after treatment or medical intervention. It is an important role and aim of a biobank to maximize the value of biological samples. To do so, it is essential to fully utilize banked samples appropriately to extract the value it holds. It is a must to know samples in term of biological sense. Therefore, quality, annotation and usability become three key elements in term of effective and efficient values of a biobank. In summary, information management and sample annotation would be the key to the quality and valuable resources for research.
出处 《中华临床实验室管理电子杂志》 2017年第1期24-29,共6页 Chinese Journal of Clinical Laboratory Management(Electronic Edition)
基金 科技部多中心临床研究信息共享平台中加合作研发项目课题(2014DFG31460) 上海市卫计委重点课题(201540389) 上海交通大学医学院"985"工程三期样本库项目
关键词 生物样本库 信息化管理 Biobank Information management
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  • 1Ragin C, Park JY. Biospecimens, biobanking and global cancer research collaborations. Ecancermedicalscience, 2014, 8:454.
  • 2Fraser A, Macdonald-Wallis C, Tilling K, et al. Cohort profile: the avon longitudinal study of parents and children: ALSPAC mothers cohort. Int J Epidemiol, 2013, 42(1):97-110.
  • 3Mortensen LM, Bech BH, Nohr EA, et al. Data resource profile: the Aarhus birth cohort biobank (ABC biobank). Int J Epidemiol, 2013, 42(6):1697-1701.
  • 4Betsou F, Lehmann S, Ashton G et al. Standard preanalytical coding for biospecimens: defining the sample PRE analytical code. Cancer Epidemiol Biomarkers Prev, 2010, 19(4):1004-1011.
  • 5Winckelmans E, Cox B, Martens E, et al. Fetal growth and maternal exposure to particulate air pollution--More marked effects at lower exposure and modification by gestational duration. Environ Res, 2015, 140:611-618.
  • 6Manzano-Salgado CB, Casas M, Lopez-Espinosa MJ, et al. Transfer of perfluoroalkyl substances from mother to fetus in a Spanish birth cohort. Environ Res, 2015, 142:471-478.
  • 7Bebu I, Lachin JM. Large sample inference for a win ratio analysis of a composite outcome based on prioritized components. Biostatistics, 2015, pii:kxv032.
  • 8Howe D, Costanzo M, Fey P, et al. Big data: The future ofbiocuration. Nature, 2008, 455(7209):47-50.
  • 9Muilu J, Peltonen L, Litton JE. The federated database--a basis for biobank-based post-genome studies, integrating phenome and genome data from 600,000 twin pairs in Europe. Eur J Hum Genet, 2007, 15(7):718-723.
  • 10Doiron D, Burton P, Marcon Y, et al. Data harmonization and federated analysis of population-based studies: the BioSHaRE project. Emerg Themes Epidemiol, 2013, 10(1):12.

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