New training tools for new epidemiologists

New training tools for new epidemiologists
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DOI:
10.1002/em.21793
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发表时间:
2013-08-01
影响因子:
2.8
通讯作者:
Weijenberg, Andmatty P.
Weijenberg, Andmatty P.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Arts, Ilja C. W.;Weijenberg, Andmatty P.

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分子流行病学正在从单一标记研究的时代转向组学驱动的基于人群的研究,这是由于最近高通量实验室检测技术的快速发展。在大型、观察性、流行病学研究中使用这些检测方法带来了重大的方法学挑战。随着组学数据被引入流行病学,大多数流行病学家所接受的传统的还原论方法已经不再足够。然而,仍然必须处理基本的流行病学原则,例如混杂。为了成功地将这些工具应用于分子流行病学,所需学科的科学家必须能够有效地沟通。我们提出了一个跨学科的,三个层次的,以问题为基础的方法来培训分子流行病学。这种方法需要跨学科的教学团队,吸引来自不同背景的学生。首先,分子流行病学所需的每个领域的概念必须在基本水平上得到解决,特别关注生物学,流行病学和统计学概念。其次,应涵盖分子流行病学中应用的最新方法(例如,组学技术、智能研究设计、统计建模和生物学解释)。第三,组学技术在人口研究中的应用要求人们认识到与生物库、伦理、立法和公共卫生有关的问题。当学生需要将复杂的概念应用于复杂的情况时,以问题为基础的学习是一种有用的教学工具,就像分子流行病学一样。使用这种方法,来自不同背景的学生一起分析问题、讨论和交流现代分子流行病学知识。以这种方法为特征的培训工具将塑造未来的分子流行病学家。(c)2013 Wiley Periodicals,Inc.
Molecular epidemiology is moving from an era of single marker studies to omics-driven population-based studies, made possible by recent rapid technological advances in high-throughput laboratory assays. The use of these assays in large, observational, epidemiologic studies poses major methodological challenges. The traditional, reductionist approach that most epidemiologists have been taught is no longer sufficient with the introduction of omics data into epidemiology. However, basic epidemiological principles, such as confounding, must still be addressed. In order to successfully implement these tools into molecular epidemiology, scientists in the required disciplines must be able to effectively communicate. We propose an interdisciplinary, three-level, problem-based approach to training in molecular epidemiology. This approach requires interdisciplinary teaching teams that appeal to students coming from diverse backgrounds. First, concepts from each field necessary for molecular epidemiology must be addressed at a basic level, with a specific focus on biological, epidemiological, and statistical concepts. Second, state-of the art methods applied in molecular epidemiology should be covered (e.g., omics technologies, smart study designs, statistical modeling, and biological interpretation). Third, the application of omics technologies in population studies calls for awareness of issues related to biobanking, ethics, legislation, and public health. Problem-based learning is a useful tool for teaching when students need to apply complex concepts to complex situations as is the case in molecular epidemiology. Using this approach, students from diverse backgrounds work together to analyze problems, discuss, and exchange knowledge in modern molecular epidemiology. Training tools characterized by this approach will shape the molecular epidemiologists of the future. (c) 2013 Wiley Periodicals, Inc.