生成大规模纵向数据资源用于衰老研究。
Generating large-scale longitudinal data resources for aging research.
机构信息
Department of Primary Care & Public Health, Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UK.
出版信息
J Gerontol B Psychol Sci Soc Sci. 2011 Jul;66 Suppl 1(Suppl 1):i172-9. doi: 10.1093/geronb/gbr047.
Abstract
OBJECTIVES
The need for large studies and the types of large-scale data resources (LSDRs) are discussed along with their general scientific utility, role in aging research, and affordability. The diversification of approaches to large-scale data resourcing is described in order to facilitate their use in aging research.
METHODS
The need for LSDRs is discussed in terms of (a) large sample size; (b) longitudinal design; (c) as platforms for additional investigator-initiated research projects; and (d) broad-based access to core genetic, biological, and phenotypic data.
DISCUSSION
It is concluded that a "lite-touch, lo-tech, lo-cost" approach to LSDRs is a viable strategy for the development of LSDRs and would enhance the likelihood of LSDRs being established which are dedicated to the wide range of important aging-related issues.
摘要
目的
本文讨论了大型研究的必要性以及大型数据资源（LSDRs）的类型，同时讨论了它们的一般科学效用、在衰老研究中的作用以及负担能力。为了促进 LSDR 在衰老研究中的应用，本文还描述了各种大规模数据资源获取方法。
方法
本文从以下几个方面讨论了 LSDR 的需求：（a）大样本量；（b）纵向设计；（c）作为额外的研究者发起的研究项目的平台；（d）广泛获取核心遗传、生物和表型数据。
讨论
本文得出结论，LSDR 的“轻触、低技术、低成本”方法是开发 LSDR 的可行策略，并且可以提高建立专门用于广泛重要的衰老相关问题的 LSDR 的可能性。
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