Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 13:16:1560053.
doi: 10.3389/fpsyt.2025.1560053. eCollection 2025.

The effects of alcohol use severity and polygenic risk on gray matter volumes in young adults

Affiliations

The effects of alcohol use severity and polygenic risk on gray matter volumes in young adults

Yu Chen et al. Front Psychiatry. .

Abstract

Introduction: Genetic factors contribute to alcohol misuse. Chronic alcohol consumption is associated with decreases in gray matter volumes (GMVs) of the brain. However, it remains unclear whether or how genetic risks may alter GMVs independent of the effects of alcohol exposure.

Methods: Here, we employed the Human Connectome Project data of neurotypical adults (n = 995; ages 22-35; 534 women) and, with voxel-based morphometry analysis, computed the GMVs of 166 regions in the automated anatomical atlas 3. Alcohol use behaviors were assessed with the Semi-Structured Assessment for the Genetics of Alcoholism. Alcohol use severity was quantified by the first principal component (PC1) identified of principal component analysis of 15 drinking measures. Polygenic risk scores (PRS) for alcohol dependence were computed for all subjects using the Psychiatric Genomics Consortium study of alcohol dependence as the base sample. With age, sex, race, and total intracranial volume as covariates, we evaluated the relationships of regional GMVs with PC1 and PRS together in a linear regression.

Results: PC1 was negatively correlated with GMVs of right insula and Heschl's gyrus, and PRS was positively correlated with GMVs of left posterior orbitofrontal cortex, bilateral intralaminar nuclei of the thalamus and lingual gyri.

Discussion: These findings suggest distinct volumetric neural markers of drinking severity and genetic risks of alcohol misuse. Notably, in contrast to volumetric reduction, the genetic risks of dependent drinking may involve larger regional volumes in the reward, emotion, and saliency circuits.

Keywords: HCP; VBM; alcohol dependence; polygenic risk score; thalamus.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
AAL3 regional GMVs in significant correlation with PC1 (cyan; negative) and PRS (red; positive) in a single regression model for (A) all, (B) men, and (C) women, with age, sex (for all), race, and TIV as covariates. No regions showed positive correlations with PC1 or negative correlation with PRS at the same threshold. PC1, first principal component of drinking metrics; PRS, polygenic risk score; OFGp, posterior orbitofrontal gyrus; INS, insula; IL-THA, intralaminar nucleus of thalamus; HES, Heschl’s gyrus; LG, lingual gyrus; nil, no significant findings.

Update of

Similar articles

References

    1. Trudell JR, Messing RO, Mayfield J, Harris RA. Alcohol dependence: molecular and behavioral evidence. Trends Pharmacol Sci. (2014) 35:317–23. doi: 10.1016/j.tips.2014.04.009 - DOI - PMC - PubMed
    1. Ducci F, Goldman D. Genetic approaches to addiction: genes and alcohol. Addiction. (2008) 103:1414–28. doi: 10.1111/j.1360-0443.2008.02203.x - DOI - PMC - PubMed
    1. Verhulst B, Neale MC, Kendler KS. The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychol Med. (2015) 45:1061–72. doi: 10.1017/S0033291714002165 - DOI - PMC - PubMed
    1. Savage JE, Salvatore JE, Aliev F, Edwards AC, Hickman M, Kendler KS, et al. . Polygenic risk score prediction of alcohol dependence symptoms across population-based and clinically ascertained samples. Alcohol Clin Exp Res. (2018) 42:520–30. doi: 10.1111/acer.2018.42.issue-3 - DOI - PMC - PubMed
    1. Taylor M, Simpkin AJ, Haycock PC, Dudbridge F, Zuccolo L. Exploration of a polygenic risk score for alcohol consumption: A longitudinal analysis from the ALSPAC cohort. PloS One. (2016) 11:e0167360. doi: 10.1371/journal.pone.0167360 - DOI - PMC - PubMed

LinkOut - more resources