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如何构建中国出生队列生物库的成本模型。

How to Make a Cost Model for the Birth Cohort Biobank in China.

机构信息

MOE, Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Gastroenterology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

出版信息

Front Public Health. 2020 Feb 21;8:24. doi: 10.3389/fpubh.2020.00024. eCollection 2020.

Abstract

Biobanks and cohort studies are a popular topic in China these days and even in the global scientific research field. Cohorts with biological material are necessary to investigate potential biological mechanisms behind a disease and its early detection. Establishing a biobank is expensive and the long-term sustainability of biorepositories is a key issue globally. There is some published information on tools to calculate the biospecimen user fee; however, they may not be suitable for China's biobanks (as most of the biobanks in China are not for profit and are funded by government or research grants, and as such, funding is a major constraint). The limited published data also tend to be highly variable and specific to the type of biobank. The authors of this article aim to present the basis of a cost analysis model for a biobank of human biological samples of a birth cohort in Shanghai, China. The results show that it is very practical for us to consider how to build a cost model for the birth cohort biobank from the direct funds, such as storage equipment, temperature monitoring system, information management system, and so on. We conclude that by comparing the similarities and differences between China's cost model and that of other countries, this paper provides valuable information for biobankers to identify new perspectives on potential collaborators and mutual learning opportunities.

摘要

生物银行和队列研究是当下中国乃至全球科研领域的热门话题。为了研究疾病背后的潜在生物学机制及其早期检测,需要有携带生物样本的队列。建立生物银行成本高昂,生物库的长期可持续性是一个全球性的关键问题。虽然有一些关于计算生物样本使用费用工具的已发表信息,但这些工具可能并不适用于中国的生物银行(因为中国的大多数生物银行都不以盈利为目的,而是由政府或研究资助提供资金,因此资金是一个主要的制约因素)。已发表的有限数据也往往变化很大,并且特定于生物库的类型。本文作者旨在提出中国上海一个人类生物样本出生队列生物库成本分析模型的基础。结果表明,从存储设备、温度监测系统、信息管理系统等直接资金方面考虑如何为出生队列生物库建立成本模型是非常实际的。我们得出结论,通过比较中国成本模型与其他国家成本模型的异同,本文为生物银行家提供了有价值的信息,有助于他们发现潜在合作方的新视角和相互学习的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da3/7046621/e963cf0fb9d6/fpubh-08-00024-g0001.jpg

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