Evidence map›Paper›PMID 41017299›Full record

ArticleAlcohol, clinical & experimental research2025

Genotype-by-sex interaction analyses for alcohol use disorder across biobanks.

Hang Zhou, Lu Wang, Zhongzheng Mao, P J Michael Deans, Rachel L Kember, Qingyu Chen, Yasmin Zakiniaeiz, Robert Kohler, MacKenzie R Peltier, Terril L Verplaetse and 7 more

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 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

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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Hang ZhouDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-7694-6391
Lu WangDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Zhongzheng MaoGraduate School of Arts and Sciences, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0001-0800-380X
P J Michael DeansDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Rachel L KemberCrescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8820-2659
Qingyu ChenDepartment of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut, USA.
Yasmin ZakiniaeizDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Robert KohlerDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-7450-2490
MacKenzie R PeltierDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-8211-4815
Terril L VerplaetseDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-2531-6656
VA Million Veteran Program
Marc N PotenzaDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Kristen J BrennandDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Amy C JusticeVeterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-0139-5502
Henry R KranzlerCrescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-1018-0450
Joel GelernterDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Sherry A McKeeDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-8185-9201

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI John H. Krystal · 2001 to 2026
$43.7M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Brien P Riley · 2014 to 2026
$19.6M
Yale-SCORE Resource Support CoreU54AA027989 · NIAAA · YALE UNIVERSITY · PI Ralitza Gueorguieva · 2020 to 2026
$13.0M
Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
Modeling the interaction of physiological and environmental stressors on common variants to psychiatric traitsR01ES033630 · NIEHS · YALE UNIVERSITY · PI Kristen Jennifer Brennand · 2022 to 2026
$4.6M
Characterizing brain-periphery cortisol dysregulation in AUDR01AA030971 · NIAAA · YALE UNIVERSITY · PI Terril L Verplaetse · 2024 to 2026
$2.1M
Sex Differences in Alcohol Use Disorder Neurodegeneration using Multimodal PET and DTI NeuroimagingK01AA029706 · NIAAA · YALE UNIVERSITY · PI Yasmin Zakiniaeiz · 2022 to 2026
$881k
BLRD VA I01 BX004820BLRD VA I01 BX006482CSRD VA I01 CX001849NHGRI NIH HHS RM1 HG011558NIAAA NIH HHS K01 AA029706NIAAA NIH HHS P50 AA012870NIAAA NIH HHS P50 AA022537NIAAA NIH HHS R01 AA030971NIAAA NIH HHS U54 AA027989NIEHS NIH HHS R01 ES033630NIH HHS K01AA029706NIH HHS P50AA012870NIH HHS P50AA022537NIH HHS R01ES033630NIH HHS RM1HG011558NIH HHS U54AA027989Office of Research and Development #I01BX004820Office of Research and Development #I01CX001849
6 · The paper itself

Abstract

backgroundAlcohol use and alcohol use disorder (AUD) are significant contributors to morbidity and mortality, with different prevalences between males and females. Despite the established genetic contribution to AUD, sex as a biological variable and the interplay with genetic factors in the disorder remain largely unexplored. This study aimed to address the key question as to how genetic variations interact with biological sex to influence the AUD risk.

methodsWe conducted genome-wide genotype-by-sex (G × S) interaction analyses using multiancestry datasets from the Million Veteran Program (MVP) and UK Biobank (UKB). In total, 1,039,476 participants were analyzed, comprising 150,429 AUD cases and 889,046 controls. AUD cases were defined using ICD-9/10 codes in the MVP and using ICD-10 codes (field ID 41270) along with self-reported history of alcohol addiction (field ID 20406) in the UKB.

resultsIn single-ancestry analyses, we identified two loci in African ancestry samples with lead single-nucleotide polymorphisms (SNPs) rs2183020 (p = 1.82 × 10

conclusionsWe believe this is the first genome-wide G × S study of AUD, providing novel insights into the genetic basis of sex differences in AUD and advancing our understanding of its biological underpinnings.

Indexed as

AlcoholismBiological Specimen BanksAgedFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideSex FactorsUnited Kingdomalcohol use disorderexpression quantitative trait locigenotype‐by‐sex interactionmultiple ancestryphenome‐wide associations

Identifiers

PMID41017299
PMCPMC12638285

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.