Evidence map›Paper›PMID 40433172›Full record

ArticleFrontiers in psychiatry2025

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

Yu Chen, Huey-Ting Li, Xingguang Luo, Guangfei Li, Jaime S Ide, Chiang-Shan R Li

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yu ChenDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Huey-Ting LiYale College, New Haven, CT, United States.
Xingguang LuoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Guangfei LiDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
Jaime S IdeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.

Funding

Noradrenergic mechanisms of alcohol's impact on the development of MCI and early stage ADR01AG072893 · NIA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2020 to 2024
$1.8M
NIA NIH HHS R01 AG072893
6 · The paper itself

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.

Indexed as

alcohol dependenceHCPpolygenic risk scorethalamusVBM

Identifiers

PMID40433172
PMCPMC12106418

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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.