生物银行的出现:基于大量人群的基因-环境相互作用研究的实际设计考虑。

Robert L Davis, Muin J Khoury
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引用次数: 10

摘要

人类基因组计划的完成激发了开展大规模队列研究的新思路;正如所提出的,这些研究将不同于过去的大规模队列研究,并将主要关注遗传变异如何与环境暴露相互作用,从而影响人类常见疾病的风险。对于基因-环境相互作用的大规模研究,没有单一的“最佳设计”。一些研究最好在队列研究中进行,在队列研究中可以收集到发病前几年个体的无偏见信息。其他研究可能最有效地完成病例对照设计使用目前可获得的自动化数据。具有嵌套病例对照或病例队列研究的基于人群的生物库为正在考虑的一些资源密集型大规模队列研究提供了明显的优势,并且可能更容易被世界上许多正在考虑此类项目的国家所接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The emergence of biobanks: practical design considerations for large population-based studies of gene-environment interactions.

The completion of the human genome project has spurred new thinking about launching large-scale cohort studies; as proposed, these studies will differ from past large-scale cohort studies and will focus primarily on how genetic variation interacts with environmental exposures to affect the risk for common human diseases. There is no single 'best design' for large-scale studies of gene-environment interactions. Some studies are best performed in cohort studies where unbiased information can be collected on individuals years before disease onset. Other studies may be most efficiently done with a case-control design using currently available automated data. Population-based biobanks with nested case-control or case-cohort studies offer distinct advantages to some of the resource-intensive large-scale cohort studies under consideration, and may be more acceptable to many of the countries around the world currently considering such projects.

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