Epigenetics and Depression: An Update
- Author:
Eugene LIN
1
;
Shih Jen TSAI
Author Information
- Publication Type:Review
- Keywords: Depression; Biomarkers; Epigenetics; Gene-environment interactions; Stress
- MeSH: Artificial Intelligence; Biomarkers; Depression; DNA Methylation; Epigenomics; Gene-Environment Interaction; Histone Code; Humans; Machine Learning; MicroRNAs; Models, Animal; Risk Factors
- From:Psychiatry Investigation 2019;16(9):654-661
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Depression is associated with various environmental risk factors such as stress, childhood maltreatment experiences, and stressful life events. Current approaches to assess the pathophysiology of depression, such as epigenetics and gene-environment (GxE) interactions, have been widely leveraged to determine plausible markers, genes, and variants for the risk of developing depression. METHODS: We focus on the most recent developments for genomic research in epigenetics and GxE interactions. RESULTS: In this review, we first survey a variety of association studies regarding depression with consideration of GxE interactions. We then illustrate evidence of epigenetic mechanisms such as DNA methylation, microRNAs, and histone modifications to influence depression in terms of animal models and human studies. Finally, we highlight their limitations and future directions. CONCLUSION: In light of emerging technologies in artificial intelligence and machine learning, future research in epigenetics and GxE interactions promises to achieve novel innovations that may lead to disease prevention and future potential therapeutic treatments for depression.
