Evidence map›Paper›PMID 41595490›Full record

ArticleGenes2026

Methylation Biomarker of Chronic Heavy Alcohol Consumption (HAC), but Not Acute HAC, Predicts All-Cause Mortality in Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.

Steven R H Beach, James A Mills, Jeffrey D Long, Robert A Philibert

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Steven R H BeachDepartment of Psychology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-8053-7761
James A MillsDepartment of Psychiatry, University of Iowa, Iowa City, IA 52242, USA.
Jeffrey D LongDepartment of Psychiatry, University of Iowa, Iowa City, IA 52242, USA.
Robert A PhilibertDepartment of Psychology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-7822-4977

Funding

NIH HHS 1R44CA285136-02
6 · The paper itself

Abstract

backgroundDue to variability in patterns of consumption as well as well-known difficulties in obtaining valid self-report from heavy drinkers, quantifying the effects of heavy alcohol consumption on mortality is challenging. Using a DNA methylation biomarker of chronic heavy alcohol consumption (HAC) named the alcohol T-score (ATS), we previously showed that chronic HAC was a strong predictor of mortality. However, whether there is a similar effect when measures of shorter-term heavy alcohol use, i.e., recent "binge" drinking, were used to predict mortality was not examined. This is a critical issue because most biomarkers of HAC assess only short-term HAC.

methodsTherefore, we examined the prediction of all-cause mortality from a DNA methylation biomarker of smoking (cg05575921), the ATS and a short-term biomarker of recent heavy alcohol use (cg07375256) in 708 subjects from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial using Cox Proportional Hazards Regression Modeling. Models were compared using Akaike's Information Criterion.

resultsThe ATS was the best single predictor among three-variable models that included controls for sex and age. Of the possible four variable models, the model consisting of age, sex, cg05575921 methylation and ATS best predicted mortality. The addition of cg07375256 methylation did not improve model performance. In sensitivity analyses using only participants who provided alcohol SR (

conclusionsAccordingly, this study indicates a strong effect of chronic HAC, but not short-term HAC, on mortality, further highlights the limitations of self-reported alcohol use in the prediction of all-cause mortality and indicates the value of assessing HAC in addition to smoking.

Indexed as

Alcohol DrinkingAlcoholismColorectal NeoplasmsDNA MethylationLung NeoplasmsOvarian NeoplasmsProstatic NeoplasmsAgedBiomarkersEarly Detection of CancerFemaleHumansMaleMiddle AgedBiomarkersalcoholcg05575921DNA methylationmortality

Identifiers

PMID41595490
PMCPMC12840812

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.