Aim: We systematically reviewed and evaluated current literature on alcohol consumption and DNA methylation (DNAm) at the genome-wide and probe-wise level in blood of adults. Materials & methods: Five databases (PubMed, Embase, Web of Science, CINAHL and PsycInfo) were searched until 20 December 2020. Studies assessing the effect of alcohol dependence on DNAm were not eligible. Results: 11 cross-sectional studies were included with 88 to 9643 participants. Overall, all studies had a risk of bias criteria unclear or unmet. Epigenome-wide association studies identified between 0 and 5458 differentially methylated positions, and 15 were observed in at least four studies. Conclusion: Potential methylation markers for alcohol consumption have been identified, but further validation in large cohorts is needed.

Association between alcohol consumption and DNA methylation in blood: a systematic review of observational studies / Dragic, D., Chang, S., Ennour-Idrissi, K., Durocher, F., Severi, G., Diorio, C.. - In: EPIGENOMICS. - ISSN 1750-1911. - STAMPA. - 14:(2022), pp. 793-810. [10.2217/epi-2022-0055]

Association between alcohol consumption and DNA methylation in blood: a systematic review of observational studies

Severi, Gianluca;
2022

Abstract

Aim: We systematically reviewed and evaluated current literature on alcohol consumption and DNA methylation (DNAm) at the genome-wide and probe-wise level in blood of adults. Materials & methods: Five databases (PubMed, Embase, Web of Science, CINAHL and PsycInfo) were searched until 20 December 2020. Studies assessing the effect of alcohol dependence on DNAm were not eligible. Results: 11 cross-sectional studies were included with 88 to 9643 participants. Overall, all studies had a risk of bias criteria unclear or unmet. Epigenome-wide association studies identified between 0 and 5458 differentially methylated positions, and 15 were observed in at least four studies. Conclusion: Potential methylation markers for alcohol consumption have been identified, but further validation in large cohorts is needed.
2022
14
793
810
Dragic, Dzevka; Chang, Sue-Ling; Ennour-Idrissi, Kaoutar; Durocher, Francine; Severi, Gianluca; Diorio, Caroline
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1343359
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