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Gene-Environment Interaction between the IL1RN Variants and Childhood Environmental Tobacco Smoke Exposure in Asthma Risk

Author

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  • Yongzhao Shao

    (Division of Biostatistics, Department of Population Health, School of Medicine (SOM), New York University, New York, NY 10016, USA
    Department of Environmental Medicine, SOM, New York University, New York, NY 10016, USA)

  • Yian Zhang

    (Division of Biostatistics, Department of Population Health, School of Medicine (SOM), New York University, New York, NY 10016, USA
    Department of Environmental Medicine, SOM, New York University, New York, NY 10016, USA)

  • Mengling Liu

    (Division of Biostatistics, Department of Population Health, School of Medicine (SOM), New York University, New York, NY 10016, USA
    Department of Environmental Medicine, SOM, New York University, New York, NY 10016, USA)

  • Maria-Elena Fernandez-Beros

    (Division of Pulmonary and Critical Care Medicine, Department of Medicine, SOM, New York University, New York, NY 10016, USA)

  • Meng Qian

    (Division of Biostatistics, Department of Population Health, School of Medicine (SOM), New York University, New York, NY 10016, USA)

  • Joan Reibman

    (Division of Pulmonary and Critical Care Medicine, Department of Medicine, SOM, New York University, New York, NY 10016, USA)

Abstract

(1) Background: Variants of the interleukin-1 receptor antagonist ( IL1RN ) gene, encoding an anti-inflammatory cytokine, are associated with asthma. Asthma is a chronic inflammatory disease of the airway influenced by interactions between genetic variants and environmental factors. We discovered a gene–environment interaction (GEI) of IL1RN polymorphisms with childhood environmental tobacco smoke (ETS) exposure on asthma susceptibility in an urban adult population. (2) Methods: DNA samples from the NYU/Bellevue Asthma Registry were genotyped for tag SNPs in IL1RN in asthma cases and unrelated healthy controls. Logistic regressions were used to study the GEI between IL1RN variants and childhood ETS exposures on asthma and early onset asthma, respectively, adjusting for population admixture and other covariates. (3) Results: Whereas the rare genotypes of IL1RN SNPs (e.g., GG in SNP rs2234678) were associated with decreased risk for asthma among those without ETS exposure (odds ratio OR = 0.215, p = 0.021), they are associated with increased risk for early onset asthma among those with childhood ETS (OR = 4.467, p = 0.021). (4) Conclusions: We identified a GEI between polymorphisms of IL1RN and childhood ETS exposure in asthma. Analysis of GEI indicated that childhood ETS exposure disrupted the protective effect of some haplotypes/genotypes of IL1RN for asthma and turned them into high-risk polymorphisms for early onset asthma.

Suggested Citation

  • Yongzhao Shao & Yian Zhang & Mengling Liu & Maria-Elena Fernandez-Beros & Meng Qian & Joan Reibman, 2020. "Gene-Environment Interaction between the IL1RN Variants and Childhood Environmental Tobacco Smoke Exposure in Asthma Risk," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2036-:d:334342
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    References listed on IDEAS

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    1. Paru Patrawalla & Angeliki Kazeros & Linda Rogers & Yongzhao Shao & Mengling Liu & Maria-Elena Fernandez-Beros & Shulian Shang & Joan Reibman, 2012. "Application of the Asthma Phenotype Algorithm from the Severe Asthma Research Program to an Urban Population," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
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    Cited by:

    1. Yian Zhang & Rebecca Rosen & Joan Reibman & Yongzhao Shao, 2022. "Posttraumatic Stress Disorder Mediates the Association between Traumatic World Trade Center Dust Cloud Exposure and Ongoing Systemic Inflammation in Community Members," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    2. Yongzhao Shao & Nedim Durmus & Yian Zhang & Sultan Pehlivan & Maria-Elena Fernandez-Beros & Lisette Umana & Rachel Corona & Adrienne Addessi & Sharon A. Abbott & Sheila Smyth-Giambanco & Alan A. Arsla, 2021. "The Development of a WTC Environmental Health Center Pan-Cancer Database," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    3. Rebecca Rosen & Yongzhao Shao & Qiao Zhang & Jia Bao & Yian Zhang & Arjun Masurkar & Thomas Wisniewski & Nina Urban & Joan Reibman, 2022. "Cognitive Function among World Trade Center-Exposed Community Members with Mental Health Symptoms," IJERPH, MDPI, vol. 19(6), pages 1-13, March.

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