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一种用于对人类研究生物样本库进行分类的提议方案。

A proposed schema for classifying human research biobanks.

作者信息

Watson Peter H, Barnes Rebecca O

机构信息

1 Tumour Tissue Repository, Deeley Research Centre , BC Cancer Agency, Victoria, British Columbia, Canada .

出版信息

Biopreserv Biobank. 2011 Dec;9(4):327-33. doi: 10.1089/bio.2011.0020. Epub 2011 Oct 3.

Abstract

Human research biobanks have rapidly expanded in the past 20 years, in terms of both their complexity and utility. To date there exists no agreement upon classification schema for these biobanks. This is an important issue to address for several reasons: to ensure that the diversity of biobanks is appreciated, to assist researchers in understanding what type of biobank they need access to, and to help institutions/funding bodies appreciate the varying level of support required for different types of biobanks. To capture the degree of complexity, specialization, and diversity that exists among human research biobanks, we propose here a new classification schema achieved using a conceptual classification approach. This schema is based on 4 functional biobank "elements" (donor/participant, design, biospecimens, and brand), which we feel are most important to the major stakeholder groups (public/participants, members of the biobank community, health care professionals/researcher users, sponsors/funders, and oversight bodies), and multiple intrinsic features or "subelements" (eg, the element "biospecimens" could be further classified based on preservation method into fixed, frozen, fresh, live, and desiccated). We further propose that the subelements relating to design (scale, accrual, data format, and data content) and brand (user, leadership, and sponsor) should be specifically recognized by individual biobanks and included in their communications to the broad stakeholder audience.

摘要

在过去20年里,人类研究生物样本库无论是在复杂性还是实用性方面都迅速扩张。迄今为止,对于这些生物样本库的分类架构尚未达成一致。鉴于以下几个原因,这是一个需要解决的重要问题:确保认识到生物样本库的多样性,帮助研究人员了解他们需要访问何种类型的生物样本库,以及帮助机构/资助机构认识到不同类型生物样本库所需的不同支持水平。为了把握人类研究生物样本库之间存在的复杂程度、专业化程度和多样性,我们在此提出一种通过概念分类方法实现的新分类架构。该架构基于4个功能性生物样本库“要素”(捐赠者/参与者、设计、生物样本和品牌),我们认为这些要素对主要利益相关者群体(公众/参与者、生物样本库社区成员、医疗保健专业人员/研究用户、赞助商/资助者以及监督机构)最为重要,以及多个内在特征或“子要素”(例如,“生物样本”要素可根据保存方法进一步分类为固定、冷冻、新鲜、活体和干燥)。我们还建议,与设计(规模、累积、数据格式和数据内容)和品牌(用户、领导层和赞助商)相关的子要素应由各个生物样本库具体识别,并纳入它们与广大利益相关者群体的沟通内容中。

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