Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, Netherlands.
Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA.
Metabolomics. 2019 Jan 7;15(1):9. doi: 10.1007/s11306-018-1468-z.
The application of metabolomics to epidemiologic studies is increasing.
Here, we describe the challenges and opportunities facing early-career epidemiologists aiming to apply metabolomics to their research.
Many challenges inherent to metabolomics may provide early-career epidemiologists with the opportunity to play a pivotal role in answering critical methodological questions and moving the field forward. Although generating large-scale high-quality metabolomics data can be challenging, data can be accessed through public databases, collaboration with senior researchers or participation within interest groups. Such efforts may also assist with obtaining funding, provide knowledge on training resources, and help early-career epidemiologists to publish in the field of metabolomics.
代谢组学在流行病学研究中的应用正在增加。
在这里，我们描述了初出茅庐的流行病学家在将代谢组学应用于研究时所面临的挑战和机遇。
代谢组学中存在的许多挑战可能为初出茅庐的流行病学家提供了一个契机，使他们能够在回答关键的方法学问题和推动该领域的发展方面发挥关键作用。尽管生成大规模高质量的代谢组学数据可能具有挑战性，但可以通过公共数据库、与资深研究人员合作或参与利益集团来获取数据。这些努力还可能有助于获得资金，提供有关培训资源的知识，并帮助初出茅庐的流行病学家在代谢组学领域发表文章。
