Evidence map›Paper›PMID 42277823›Full record

ArticleEnvironmental health : a global access science source2026

Observational and genetically-informed characterization of Gulf War Illness symptoms in 1990-1991 Gulf War deployed Veterans and non-deployed Gulf War Era Veterans.

Jun He, Gita A Pathak, Brenda Cabrera-Mendoza, Dan Qiu, Kelson Zawack, Lea Steele, Rachel Quaden, Kelly M Harrington, Elizabeth J Gifford, Mihaela Aslan and 4 more

Abstract read
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Article in Environmental health : a global access science source, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Jun HeCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Gita A PathakCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Brenda Cabrera-MendozaCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Dan QiuCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Kelson ZawackCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Lea SteeleVeterans Health Research Program, Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA.
Rachel QuadenMillion Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, 02130, USA.
Kelly M HarringtonMillion Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, 02130, USA.
Elizabeth J GiffordVA Cooperative Studies Program Epidemiology Center-Durham, Department of Veterans Affairs, Durham, NC, 27705, USA.
Mihaela AslanCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Drew A HelmerCenter for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, TX, 77030, USA.
Elizabeth R HauserVA Cooperative Studies Program Epidemiology Center-Durham, Department of Veterans Affairs, Durham, NC, 27705, USA.
Renato PolimantiCooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, 06516, USA. renato.polimanti@yale.edu.
Department of Veterans Affairs Cooperative Studies Program #2006 and the VA Million Veteran Program

Funding

U.S. Department of Veterans Affairs CSP #2006
6 · The paper itself

Abstract

backgroundGulf War Illness (GWI) has been identified in more than 20% of Veterans following military service in the 1990-1991 Gulf War (GW). Unfortunately, after several decades, GWI pathogenesis remains unclear and the patterns of GWI symptom co-occurrence are still poorly understood.

methodsThis population-based case-control study included 34,179 (16% females; 34% GW deployed; mean age 61 years) Veterans enrolled in the Million Veteran Program (MVP) who were active-duty military personnel in 1990-1991. We analyzed 14 GWI symptoms in GW-deployed and non-deployed GW-Era Veterans. Multivariable generalized linear models were used to estimate GWI symptom associations with demographic factors and deployment status. Correlation, factor, and network analyses were performed to examine the underlying structure of GWI symptoms. In addition, polygenic risk score and one-sample Mendelian randomization analyses were conducted to evaluate the genetically inferred effects of health-related traits on symptom factors.

resultsAmong 14 GWI symptoms, joint pain had the highest prevalence in both GW deployed (86%) and non-deployed GW-Era Veterans (79%). The median age of symptom onset ranged from 38 to 46 years among deployed Veterans and from 45 to 54 years among non-deployed Veterans. Factor analysis identified a five-factor latent structure as the best-fit model for GWI symptoms, and latent class analysis classified Veterans into seven symptom classes. The network of GWI symptoms showed that fatigue had the largest closeness and betweenness and had more edges in deployed Veterans. Younger age, female sex, non-European descent, lower educational attainment, enlisted rank, and GW deployment, as well as multiple GW-related exposures in deployed Veterans, were associated with increased GWI symptom burden. Genetic liability to multiple health-related outcomes, including type 2 diabetes (T2D) and posttraumatic stress disorder (PTSD), showed putative causal effects on GWI-symptom factors, with the T2D effect being larger in deployed Veterans and the PTSD effect being larger in non-deployed Veterans.

conclusionsThe present findings demonstrate differences in symptom onset between deployed and non-deployed GW Veterans. They also reinforce the importance of symptom clusters of relevance to GWI, associations between deployment-specific exposures and symptom burden, and different genetic linkages underlying symptoms for deployed and non-deployed groups.

trial registrationNot applicable.

Indexed as

Persian Gulf SyndromeVeteransAdultCase-Control StudiesFemaleGenetic Risk ScoreGulf WarHumansMaleMiddle AgedPrevalenceUnited StatesDeploymentGenetic liabilityGulf War IllnessSymptomsVeterans

Identifiers

PMID42277823
PMCPMC13479420

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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.