Evidence map›Paper›PMID 40741918›Full record

ArticleAddiction (Abingdon, England)2025

Genetic risk for alcohol use disorder in relation to individual symptom criteria: Do polygenic indices provide unique information for understanding severity and heterogeneity?

Yongguk M Sarles, Sean P Lane, Alex P Miller, Kirk C Wilhelmsen, Ian R Gizer

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 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

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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. Assessing measurement bias in substance use disorder criteria associated with childhood adversity and genetic liability.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yongguk M SarlesDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.
Sean P LaneDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.
Alex P MillerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0001-9163-8947
Kirk C WilhelmsenRockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Ian R GizerDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
Multivariate analyses of polygenic risk for impulsivity and alcohol use: A study of longitudinal trajectories of binge drinking in emerging adulthoodF31AA027957 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MILLER, ALEX PARKER · 2019 to 2022
$77k
BLRD VA I01 BX003341CSRD VA I01 CX001849NIAAA NIH HHS F31 AA027957NIAAA NIH HHS F31AA027957NIAAA NIH HHS U10 AA008401NIDA NIH HHS R01 DA030976NIDA NIH HHS R01DA030976NIMH NIH HHS U01 MH109532State of California
6 · The paper itself

Abstract

BACKGROUND AND

aimsPrevious studies have suggested that Alcohol Use Disorder (AUD) might result from separable genetic influences with symptoms reflecting differing degrees of genetic risk related to distinct risk mechanisms. The present study aimed to examine the genetic risk for individual AUD symptom criteria using a polygenic risk score (PRS) approach to assess the relative severity of each symptom and test for a multidimensional genetic structure of AUD.

designThis retrospective study examined the correlation between genetic severity (i.e. PRS) and Item Response Theory (IRT) severity indices for each AUD symptom. Multiple Indicators Multiple Causes (MIMIC) models were employed to examine the effect of the PRS on individual AUD symptoms after accounting for overall AUD severity. SETTING AND

participantsThe study made use of summary-level data produced in Finland, United Kingdom and the United States of America as well as individual-level data from 1639 participants of the University of California - San Francisco Family Alcoholism Study. MEASUREMENTS: Phenotypic measures included the 11 Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) AUD symptom criteria assessed using a modified version of the Semi-Structured Assessment for the Genetics of Alcoholism. AUD, Problematic Alcohol Use (PAU) and alcohol consumption [i.e. drinks per week (DPW)] PRSs were created using summary statistics obtained from published genome-wide association studies (GWAS).

findingsPhenotypic and genotypic severities of AUD symptoms were statistically significantly correlated for the PAU PRS and AUD PRS (r range = 0.77-0.89), but not for the DPW PRS (r = 0.45). MIMIC models indicated that the PRSs statistically significantly predicted the AUD factor. Regression paths testing the direct effects of the PRSs on individual AUD symptoms, independent of the latent AUD factor, were statistically nonsignificant.

conclusionsPolygenic risk scores derived from genome-wide association studies (GWAS) of alcohol use disorder (AUD) appear to influence AUD symptom expression through a single genetic factor that is highly correlated with the relative severity of individual symptoms measured at the phenotypic level. Item-level GWAS of AUD symptoms are needed to further parse heterogeneous symptom expression and allow for more nuanced tests of these conclusions.

Indexed as

AlcoholismGenetic Predisposition to DiseaseMultifactorial InheritanceAdultFemaleFinlandHumansMaleMiddle AgedPhenotypeRetrospective StudiesRisk FactorsSeverity of Illness IndexUnited KingdomUnited Statesalcohol use disordergenetic heterogeneityGWASindividual symptomspolygenic risk scoreseverity

Identifiers

PMID40741918
PMCPMC12829427

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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.