Evidence map›Paper›PMID 31955720›Full record

ArticlePsychological medicine2021

Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.

Emma C Johnson, Sandra Sanchez-Roige, Laura Acion, Mark J Adams, Kathleen K Bucholz, Grace Chan, Michael J Chao, David B Chorlian, Danielle M Dick, Howard J Edenberg and 23 more

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  6. Genetic Architecture of Alcohol Use Disorder in Nepal.medRxiv : the preprint server for health sciences · 2025
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  11. Etiology and correlates of alcohol misuse in early midlife.Alcohol, clinical & experimental research · 2025
    Article
  12. Review
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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

33 authors at 14 institutions in 2 countries.

Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0394-777X
Sandra Sanchez-RoigeDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Laura AcionDepartment of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA.
Mark J AdamsDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Kathleen K BucholzDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Grace ChanDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.
Michael J ChaoDepartment of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY, USA.
David B ChorlianDepartment of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA.
Danielle M DickDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Howard J EdenbergDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
Tatiana ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Caroline HaywardMRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Edinburgh, UK.
Jon HeronUniversity of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK.
Victor HesselbrockDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.
Matthew HickmanUniversity of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK.
Kenneth S KendlerDepartment of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Sivan KinreichDepartment of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA.
John KramerDepartment of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA.
Sally I-Chun KuoDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Samuel KupermanDepartment of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA.
Dongbing LaiDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Jacquelyn L MeyersDepartment of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA.
Martin H PlaweckiDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
Bernice PorjeszDepartment of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA.
David PorteousUniversity of Edinburgh, Institute of Genetics & Molecular Medicine, Centre for Genomic and Experimental Medicine, Edinburgh, UK.
Marc A SchuckitDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Jinni SuDepartment of Psychology, Arizona State University, Tempe, AZ, USA.
Yong ZangDepartment of Biostatistics, Indiana University School of Medicine, Bloomington, IN, USA.
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Toni-Kim ClarkeDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Alexis C EdwardsDepartment of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Indiana University School of MedicineSUNY Downstate Health Sciences University · USVirginia Commonwealth University · USUniversity of California San Diego · USUniversity of Edinburgh · GBUniversity of Iowa · USWashington University in St. Louis · USUniversity of Bristol · GBUniversity of Connecticut · USArizona State University · USEdinburgh Cancer Research · GBIcahn School of Medicine at Mount Sinai · USIndiana University Bloomington · USInstitute of Genetics and Cancer · GB

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2014 to 2023
$27.4M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MICHAEL F MILES · 2014 to 2026
$19.6M
Vulnerabilities for coping-related drinking among post-college young adultsP60AA003510 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BAUER, LANCE O. · 2008 to 2017
$17.5M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
Pathways to Alcohol Use Disorders in ALSPAC: A Genetic-Developmental StudyR01AA018333 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M, KENDLER, KENNETH SEEDMAN · 2010 to 2014
$2.8M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
Gene-Environment Interaction for Cannabis Use Disorders in Blacks and Whites in the U.S.K01DA037914 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI MEYERS, JACQUELYN LEIGH · 2015 to 2019
$573k
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
Medical Research Council G0700704Medical Research Council G0800612Medical Research Council G0802736Medical Research Council G9815508Medical Research Council MC_PC_12028Medical Research Council MC_PC_15018Medical Research Council MC_PC_17228Medical Research Council MC_PC_19009Medical Research Council MC_QA137853Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1Medical Research Council MR/L022206/1NIAAA NIH HHS F32 AA027435NIAAA NIH HHS K01 AA021399NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P50 AA022537NIAAA NIH HHS P60 AA003510NIAAA NIH HHS R01 AA018333NIAAA NIH HHS U10 AA008401NIDA NIH HHS K01 DA037914NIDA NIH HHS K02 DA032573NIDA NIH HHS P50 DA037844NIMH NIH HHS R25 MH081482Wellcome Trust
6 · The paper itself

Abstract

backgroundStudies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds.

methodsWe examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes.

resultsIn COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16).

conclusionsAUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.

Indexed as

Alcohol DrinkingAlcoholismCohort StudiesGenome-Wide Association StudyHumansLongitudinal StudiesPhenotypeScotlandAlcohol consumptionalcohol dependencealcohol use disorderAUDITgeneticsGWASpolygenic risk score

Identifiers

PMID31955720
PMCPMC7405725
OpenAlexW3000767966

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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.