J Prev Med Public Health.
2021 Jul;54(4):259-564. 10.3961/jpmph.21.190.
Network Analysis in Systems Epidemiology
- Affiliations
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- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- 2Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea
- 3Cancer Research Institute, Seoul National University, Seoul, Korea
- 4Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- KMID: 2518914
- DOI: http://doi.org/10.3961/jpmph.21.190
Abstract
- Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.
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