Evidence map›Paper›PMID 39566611›Full record

ArticleThe Science of the total environment2024

Impact of genetic polymorphisms on associations between crude oil exposure and health effects among Coast Guard Deepwater Horizon responders.

Joseph B Kim, Hristina Denic-Roberts, Jordan McAdam, Dana L Thomas, Lawrence S Engel, Jennifer A Rusiecki

Abstract read
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Article in The Science of the total environment, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Joseph B KimDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Hristina Denic-RobertsDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA; Oak Ridge Institute for Science and Education, MD, USA.
Jordan McAdamHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
Dana L ThomasUnited States Coast Guard Headquarters, Directorate of Health, Safety, and Work Life, Washington, DC, USA.
Lawrence S EngelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Jennifer A RusieckiDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA. Electronic address: jennifer.rusiecki@usuhs.edu.

Funding

Health Effects of the Deepwater Horizon Disaster:the Coast Guard Responder CohortR01ES020874 · NIEHS · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI RUSIECKI, JENNIFER ANN · 2012 to 2016
$1.7M
NIEHS NIH HHS R01 ES020874
6 · The paper itself

Abstract

The U.S. Coast Guard led a clean-up response to the Deepwater Horizon (DWH) oil spill, the largest marine oil spill in history. Studies from the Deepwater Horizon Coast Guard Cohort (DWH-CG) have shown associations between crude oil exposure and various acute symptoms and longer-term health outcomes. Evidence has suggested genetic polymorphisms in metabolizing genes could modify the toxicity of crude oil and its components, which could impact health effects in responders exposed to crude oil. We applied log-binomial regression to calculate prevalence ratios (PRs) and 95 % confidence intervals (CIs) in the relationship between crude oil exposure (categorized to never, low, and high) and four acute symptoms (cough, shortness of breath/wheeze, skin rash/itching, headache) and to calculate risk ratios (RR) and 95 % CIs in the relationship between crude oil exposure and incidence of hypertension and asthma in the DWH-CG cohort. Effect modification by polymorphisms in 6 metabolizing genes [Cytochrome P450 family 2 subfamily E member 1 (CYP2E1), Glutathione S-Transferase Mu 1 (GSTM1), Glutathione S-Transferase Theta 1 (GSTT1), Epoxide Hydrolase 1 (EPHX1), NADPH quinone oxidoreductase-1 (NQO1), and Myeloperoxidase (MPO)] was evaluated. Results were stratified into wildtype and variant [i.e., those with at least one variant allele] for each gene. There was evidence of effect modification in the relationship between crude oil exposure and asthma by CYP2E1 [wildtype (RR

Indexed as

PetroleumPetroleum PollutionAdultEnvironmental ExposureGlutathione TransferaseHumansMaleOccupational ExposurePolymorphism, GeneticWater Pollutants, ChemicalGlutathione TransferasePetroleumWater Pollutants, ChemicalCrude oilDeepwater horizonGenotypeOil spillPolymorphisms

Identifiers

PMID39566611
PMCPMC11840859

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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.