Abstract
Epigenetic epidemiology, an interdisciplinary field combining epigenetic and epidemiological knowledge, tools, and techniques, is emerging in medical research and public health. In this chapter, we review and discuss the promising role of epigenetics in understanding disease etiology, assessing relevant exposures, and using them for disease prediction and therapy. We summarize important aspects to be considered in the implementation of epigenetic epidemiological research including research question, study design, sample size, biological sample, and measurement tool. We also summarize the challenges in epigenetic epidemiology research including data analysis, interpretation of results, causal inference, and communication to the public. Combining epigenetics with epidemiology, with a careful study design and an appropriate interpretation of results, can potentially enhance our understanding of disease and promote public health.
Original language | English |
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Title of host publication | Epigenetics in Human Disease |
Editors | Trygve O. Tollefsbol |
Publisher | Elsevier |
Chapter | 33 |
Pages | 995-1017 |
Number of pages | 23 |
Volume | 6 |
Edition | 2nd |
ISBN (Electronic) | 9780128122150 |
ISBN (Print) | 9780128123294 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Keywords
- Biomarker
- Causal inference
- DNA methylation
- Epidemiology
- Epigenetics
- Etiology
- Public health
- Risk prediction
- Study design