Evidence map›Paper›PMID 36301540›Full record

ArticleJAMA network open2022

Genome-Wide Investigation of Maximum Habitual Alcohol Intake in US Veterans in Relation to Alcohol Consumption Traits and Alcohol Use Disorder.

Joseph D Deak, Daniel F Levey, Frank R Wendt, Hang Zhou, Marco Galimberti, Henry R Kranzler, J Michael Gaziano, Murray B Stein, Renato Polimanti, Joel Gelernter and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  7. Article
  8. Genetic Influence ofInternational journal of molecular sciences · 2026
    Article
  9. Article
  10. Article
  11. Sex-Specific Genetic Architecture and Comorbidities of Alcohol Use Behaviors.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
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  17. Review
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  19. Article
  20. Generalized genetic liability to substance use disorders.The Journal of clinical investigation · 2024
    Review
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

11 authors.

Joseph D DeakYale School of Medicine, New Haven, Connecticut.
Daniel F LeveyYale School of Medicine, New Haven, Connecticut.
Frank R WendtYale School of Medicine, New Haven, Connecticut.
Hang ZhouYale School of Medicine, New Haven, Connecticut.
Marco GalimbertiYale School of Medicine, New Haven, Connecticut.
Henry R KranzlerUniversity of Pennsylvania Perelman School of Medicine, Philadelphia.
J Michael GazianoMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston.
Murray B SteinUniversity of California, San Diego, La Jolla.
Renato PolimantiYale School of Medicine, New Haven, Connecticut.
Joel GelernterYale School of Medicine, New Haven, Connecticut.
Million Veteran Program

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR33DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2021 to 2023
$2.0M
Genome-wide Investigation of the Interplay Between Age-Related Hearing Loss and Smoking BehaviorsR21DC018098 · NIDCD · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2021
$440k
Genetic Causality of Alcohol Intake and Alcohol Use Disorder on Cancer RiskR21CA252916 · NCI · YALE UNIVERSITY · PI ZHOU, HANG · 2021 to 2022
$334k
Decoding the Sex-Specific Biological Mechanisms of Psychiatric Disorders Using Genome-Wide AnalysesF32MH122058 · NIMH · YALE UNIVERSITY · PI WENDT, FRANK · 2020 to 2021
$118k
BLRD VA IK2 BX005058Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS UL1 TR001863NCI NIH HHS R21 CA252916NIDA NIH HHS R33 DA047527NIDCD NIH HHS R21 DC018098NIMH NIH HHS F32 MH122058
6 · The paper itself

Abstract

Importance: Alcohol genome-wide association studies (GWASs) have generally focused on alcohol consumption and alcohol use disorder (AUD); few have examined habitual drinking behaviors like maximum habitual alcohol intake (MaxAlc). Objectives: To identify genetic loci associated with MaxAlc and to elucidate the genetic architecture across alcohol traits. Design, Setting, and Participants: This MaxAlc genetic association study was performed among Million Veteran Program participants enrolled from January 10, 2011, to September 30, 2020. Ancestry-specific GWASs were conducted in participants with European (n = 218 623) and African (n = 29 132) ancestry, then meta-analyzed (N = 247 755). Linkage-disequilibrium score regression was used to estimate single nucleotide variant (SNV)-heritability and genetic correlations (rg) with other alcohol and psychiatric traits. Genomic structural equation modeling (gSEM) was used to evaluate genetic associations between MaxAlc and other alcohol traits. Mendelian randomization was used to examine potential causal relationships between MaxAlc and liver enzyme levels. MTAG (multitrait analysis of GWAS) was used to analyze MaxAlc and problematic alcohol use (PAU) jointly. Exposures: Genetic associations. Main Outcomes and Measures: MaxAlc was defined from the following survey item: "in a typical month, what is/was the largest number of drinks of alcohol you may have had in one day?" with ordinal responses from 0 to 15 or more drinks. Results: GWASs were conducted on sample sizes of as many as 247 455 US veterans. Participants were 92.68% male and had mean (SD) age of 65.92 (11.70) years. The MaxAlc GWAS resulted in 15 genome-wide significant loci. Top associations in European-ancestry and African-ancestry participants were with known functional variants in the ADH1B gene, namely rs1229984 (P = 3.12 × 10-101) and rs2066702 (P = 6.30 × 10-17), respectively. Novel associations were also found. SNV-heritability was 6.65% (SE, 0.41) in European-ancestry participants and 3.42% (SE, 1.46) in African-ancestry participants. MaxAlc was positively correlated with PAU (rg = 0.79; P = 3.95 × 10-149) and AUD (rg = 0.76; P = 1.26 × 10-127) and had negative rg with the UK Biobank "alcohol usually taken with meals" (rg = -0.53; P = 1.40 × 10-50). For psychiatric traits, MaxAlc had the strongest genetic correlation with suicide attempt (rg = 0.40; P = 3.02 × 10-21). gSEM supported a 2-factor model with MaxAlc loading on a factor with PAU and AUD and other alcohol consumption measures loading on a separate factor. Mendelian randomization supported an association between MaxAlc and the liver enzyme gamma-glutamyltransferase (β = 0.012; P = 2.66 × 10-10). MaxAlc MTAG resulted in 31 genome-wide significant loci. Conclusions and Relevance: The findings suggest that MaxAlc closely aligns genetically with PAU traits. This study improves understanding of the mechanisms associated with normative alcohol consumption vs problematic habitual use and AUD as well as how MaxAlc relates to psychiatric and medical conditions genetically and biologically.

Indexed as

AlcoholismVeteransAgedAlcohol DrinkingFemaleGenome-Wide Association StudyHumansMaleWhite People

Identifiers

PMID36301540
PMCPMC9614582

What Socratic holds

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Registered trials

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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 Socratic graph.