Evidence map›Paper›PMID 42510839›Full record

ArticleGenes2026

Genomic Markers of Heavy Alcohol Consumption Outperform Self-Report and Other Common Predictors of Mortality in Two Middle-Aged Samples of Black Americans.

Steven R H Beach, Man-Kit Lei, Mei Ling Ong, Rachael D Weaver, Sierra E Carter, 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Steven R H BeachDepartment of Psychology, The University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-8053-7761
Man-Kit LeiCenter for Family Research, The University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-7757-6548
Mei Ling OngCenter for Family Research, The University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-7676-6921
Rachael D WeaverDepartment of Sociology, The University of Georgia, Athens, GA 30602, USA.
Sierra E CarterDepartment of Psychology, The University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-3842-3175
Robert A PhilibertCollege of Medicine, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0001-7822-4977

Funding

NIA NIH HHS AG059260NIA NIH HHS AG077386NIDA NIH HHS DA051361
6 · The paper itself

Abstract

BACKGROUND/

objectivesHeavy alcohol consumption (HAC) may contribute to elevated mortality risk in middle age, but its contribution to mortality in middle age among Black Americans is poorly characterized, suggesting the potential for genomic variables to improve prediction. We examined whether a DNA methylation-based measure of HAC (HAC/ATS) increased prediction of mortality beyond Chronic Illnesses and other controls and compared its predictive abilities to that of self-reported HAC.

methodsSAMPLE: Two longitudinal samples were examined to test hypotheses. First, we examined the Family and Community Health Study (FACHS) sample, comprising 360 individuals who were 95.8% female, with a mean age of 47.12 at the time of their blood draw, and followed for 17 years. Second, we examined the Promoting Strong African American Families (ProSAAF) sample comprising 336 individuals who were 54.8% female, with a mean age 44.64 at the time of their initial blood draw, and followed for 5 or more years. To overcome potential biases arising from small sample sizes we used Firth's penalized likelihood logistic regression analyses to predict mortality in both samples.

resultsIn both samples, the DNA-methylation-based indicator of HAC (HAC/ATS) significantly contributed to the prediction of mortality beyond the significant contribution of age, Number of Chronic Illnesses, and other control variables. This was in contrast to the non-significant contribution of self-reported HAC. In both samples, high blood pressure was also a significant predictor of mortality, albeit not as powerful a predictor as DNA-methylation-based indicator of HAC.

conclusionsA DNA-methylation-based indicator of HAC (HAC/ATS) made a substantial contribution to mortality risk in two longitudinal samples of middle-aged African Americans. Significant contributions of Chronic Illness suggested the value of future exploration of genomic indicators of HAC in combination with chronic conditions.

Indexed as

Alcohol DrinkingBlack or African AmericanAdultDNA MethylationFemaleGenetic MarkersHumansLongitudinal StudiesMiddle AgedSelf ReportGenetic MarkersBMIChronic Illnessheavy alcohol consumptionmortality

Identifiers

PMID42510839
PMCPMC13409247

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