DNA methylation age is accelerated in alcohol dependence

Allison D Rosen; Keith D Robertson; Ryan A Hlady; Christine Muench; Jisoo Lee; Robert Philibert; Steve Horvath; Zachary A Kaminsky; Falk W Lohoff

doi:10.1038/s41398-018-0233-4

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DNA methylation age is accelerated in alcohol dependence

Journal article

Open access

Peer reviewed

DNA methylation age is accelerated in alcohol dependence

Allison D Rosen, Keith D Robertson, Ryan A Hlady, Christine Muench, Jisoo Lee, Robert Philibert, Steve Horvath, Zachary A Kaminsky and Falk W Lohoff

Translational psychiatry, Vol.8(1), 182

09/05/2018

DOI: 10.1038/s41398-018-0233-4

PMCID: PMC6125381

PMID: 30185790

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Abstract

Alcohol dependence (ALC) is a chronic, relapsing disorder that increases the burden of chronic disease and significantly contributes to numerous premature deaths each year. Previous research suggests that chronic, heavy alcohol consumption is associated with differential DNA methylation patterns. In addition, DNA methylation levels at certain CpG sites have been correlated with age. We used an epigenetic clock to investigate the potential role of excessive alcohol consumption in epigenetic aging. We explored this question in five independent cohorts, including DNA methylation data derived from datasets from blood (n = 129, n = 329), liver (n = 92, n = 49), and postmortem prefrontal cortex (n = 46). One blood dataset and one liver tissue dataset of individuals with ALC exhibited positive age acceleration (p < 0.0001 and p = 0.0069, respectively), whereas the other blood and liver tissue datasets both exhibited trends of positive age acceleration that were not significant (p = 0.83 and p = 0.57, respectively). Prefrontal cortex tissue exhibited a trend of negative age acceleration (p = 0.19). These results suggest that excessive alcohol consumption may be associated with epigenetic aging in a tissue-specific manner and warrants further investigation using multiple tissue samples from the same individuals.

Liver - pathology

Epigenesis, Genetic

Humans

Middle Aged

Linear Models

Male

Case-Control Studies

Prefrontal Cortex - pathology

DNA Methylation

Aging - genetics

CpG Islands

Adult

Alcoholism - genetics

Female

Details

Title: Subtitle: DNA methylation age is accelerated in alcohol dependence
Creators: Allison D Rosen - Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
Keith D Robertson - Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
Ryan A Hlady - Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
Christine Muench - Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
Jisoo Lee - Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
Robert Philibert - Department of Psychiatry, University of Iowa, Iowa City, IA, USA
Steve Horvath - Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
Zachary A Kaminsky - Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
Falk W Lohoff - Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA. falk.lohoff@nih.gov
Resource Type: Journal article
Publication Details: Translational psychiatry, Vol.8(1), 182
DOI: 10.1038/s41398-018-0233-4
PMID: 30185790
PMCID: PMC6125381
NLM abbreviation: Transl Psychiatry
ISSN: 2158-3188
eISSN: 2158-3188
Publisher: United States
Grant note: R44 AA022041 / NIAAA NIH HHS ZIA AA000242 / NIAAA NIH HHS
Language: English
Date published: 09/05/2018
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Psychiatry; Iowa Neuroscience Institute
Record Identifier: 9984003991302771

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