Evidence map›Paper›PMID 39393159›Full record

ArticleDrug and alcohol dependence2024

Interactive effects of genetic liability and combat exposure on risk of alcohol use disorder among US service members.

Laura Campbell-Sills, Karmel W Choi, Sam D Strizver, Jason D Kautz, Santiago Papini, Pablo A Aliaga, Paul B Lester, James A Naifeh, Caitlin Ray, Ronald C Kessler and 3 more

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In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Laura Campbell-SillsDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA. Electronic address: l2campbellsills@health.ucsd.edu.
Karmel W ChoiCenter for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Sam D StrizverDepartment of Management, Darla Moore School of Business, University of South Carolina, Columbia, SC, USA.
Jason D KautzDepartment of Organizations, Strategy, and International Management, University of Texas at Dallas, Dallas, TX, USA.
Santiago PapiniDepartment of Psychology, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Pablo A AliagaCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
Paul B LesterGraduate School of Defense Management, Naval Postgraduate School, Monterey, CA, USA.
James A NaifehCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
Caitlin RaySchool of Industrial and Labor Relations, Cornell University, Ithaca, NY, USA.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.
Robert J UrsanoCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Murray B SteinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA; VA San Diego Healthcare System, San Diego, CA, USA; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Paul D BlieseDepartment of Management, Darla Moore School of Business, University of South Carolina, Columbia, SC, USA.

Funding

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US ArmyU01MH087981 · NIMH · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI STEIN, MURRAY B., URSANO, ROBERT J. · 2009 to 2013
$65.0M
Integrating Health Records, Genomic, and Social Data to Stratify Adolescent Depression RiskK08MH127413 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, KARMEL · 2021 to 2025
$987k
NIMH NIH HHS K08 MH127413NIMH NIH HHS U01 MH087981
6 · The paper itself

Abstract

backgroundAn improved understanding of pathways to alcohol use disorder (AUD) among service members may inform efforts to reduce the substantial impact of AUD on this population. This study examined whether the relationship between a service-related risk factor (combat exposure) and later AUD varied based on individual differences in genetic liability to AUD.

methodsThe sample consisted of 1203 US Army soldiers of genetically determined European ancestry who provided survey and genomic data in the Army STARRS Pre/Post Deployment Study (PPDS; 2012-2014) and follow-up survey data in wave 1 of the STARRS Longitudinal Study (2016-2018). Logistic regression was used to estimate the conditional effect of combat exposure level (self-reported in PPDS) on odds of probable AUD diagnosis at follow-up, as a function of a soldier's polygenic risk score (PRS) for AUD.

resultsThe direct effect of combat exposure on AUD risk was non-significant (AOR=1.12, 95 % CI=1.00-1.26, p=.051); however, a significant combat exposure x PRS interaction was observed (AOR=1.60, 95 % CI=1.03-2.46, p=.033). Higher combat exposure was more strongly associated with elevated AUD risk among soldiers with heightened genetic liability to AUD.

conclusionsThe effect of combat exposure on AUD risk appeared to vary based on a service member's level of genetic risk for AUD. Continued investigation is warranted to determine whether PRS can help stratify AUD risk within stress-exposed groups such as combat-deployed soldiers. Such efforts might reveal opportunities to focus prevention efforts on smaller subgroups at the intersection of having both environmental exposures and genetic vulnerability to AUD.

Indexed as

AlcoholismMilitary PersonnelAdultFemaleGenetic Predisposition to DiseaseHumansLongitudinal StudiesMaleRisk FactorsUnited StatesYoung AdultAlcohol-related disordersGene-environment interactionsGenetic risk scoresMilitary personnelStress exposure

Identifiers

PMID39393159
PMCPMC13374641

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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 OpenQuestion graph.