IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p8089-d439195.html
   My bibliography  Save this article

Impact of Gene–Environment Interactions on Cancer Development

Author

Listed:
  • Ariane Mbemi

    (NIH/NIMHD RCMI-Center for Health Disparities Research, Jackson State University, 1400 Lynch Street, Box 18750, Jackson, MS 39217, USA
    Department of Biology, College of Science, Engineering and Technology, Jackson State University, 1400 Lynch Street, Box 18540, Jackson, MS 39217, USA)

  • Sunali Khanna

    (Department of Oral Medicine and Radiology, Nair Hospital Dental College, Municipal Corporation of Greater Mumbai, Mumbai 400 008, India)

  • Sylvianne Njiki

    (NIH/NIMHD RCMI-Center for Health Disparities Research, Jackson State University, 1400 Lynch Street, Box 18750, Jackson, MS 39217, USA
    Department of Biology, College of Science, Engineering and Technology, Jackson State University, 1400 Lynch Street, Box 18540, Jackson, MS 39217, USA)

  • Clement G. Yedjou

    (Department of Biological Sciences, College of Science and Technology, Florida Agricultural and Mechanical University, 1610 S. Martin Luther King Blvd., Tallahassee, FL 32307, USA)

  • Paul B. Tchounwou

    (NIH/NIMHD RCMI-Center for Health Disparities Research, Jackson State University, 1400 Lynch Street, Box 18750, Jackson, MS 39217, USA
    Department of Biology, College of Science, Engineering and Technology, Jackson State University, 1400 Lynch Street, Box 18540, Jackson, MS 39217, USA)

Abstract

Several epidemiological and experimental studies have demonstrated that many human diseases are not only caused by specific genetic and environmental factors but also by gene–environment interactions. Although it has been widely reported that genetic polymorphisms play a critical role in human susceptibility to cancer and other chronic disease conditions, many single nucleotide polymorphisms (SNPs) are caused by somatic mutations resulting from human exposure to environmental stressors. Scientific evidence suggests that the etiology of many chronic illnesses is caused by the joint effect between genetics and the environment. Research has also pointed out that the interactions of environmental factors with specific allelic variants highly modulate the susceptibility to diseases. Hence, many scientific discoveries on gene–environment interactions have elucidated the impact of their combined effect on the incidence and/or prevalence rate of human diseases. In this review, we provide an overview of the nature of gene–environment interactions, and discuss their role in human cancers, with special emphases on lung, colorectal, bladder, breast, ovarian, and prostate cancers.

Suggested Citation

  • Ariane Mbemi & Sunali Khanna & Sylvianne Njiki & Clement G. Yedjou & Paul B. Tchounwou, 2020. "Impact of Gene–Environment Interactions on Cancer Development," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8089-:d:439195
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/8089/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/21/8089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Y. Dai & Charles Kooperberg & Michael Leblanc & Ross L. Prentice, 2012. "Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction," Biometrika, Biometrika Trust, vol. 99(4), pages 929-944.
    2. Marilyn C Cornelis & Keri L Monda & Kai Yu & Nina Paynter & Elizabeth M Azzato & Siiri N Bennett & Sonja I Berndt & Eric Boerwinkle & Stephen Chanock & Nilanjan Chatterjee & David Couper & Gary Curhan, 2011. "Genome-Wide Meta-Analysis Identifies Regions on 7p21 (AHR) and 15q24 (CYP1A2) As Determinants of Habitual Caffeine Consumption," PLOS Genetics, Public Library of Science, vol. 7(4), pages 1-9, April.
    3. Antoinesha L. Hollman & Paul B. Tchounwou & Hung-Chung Huang, 2016. "The Association between Gene-Environment Interactions and Diseases Involving the Human GST Superfamily with SNP Variants," IJERPH, MDPI, vol. 13(4), pages 1-14, March.
    4. Rosemarie G. Ramos & Kenneth Olden, 2008. "Gene-Environment Interactions in the Development of Complex Disease Phenotypes," IJERPH, MDPI, vol. 5(1), pages 1-8, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Y. Dai & C. Jason Liang & Michael LeBlanc & Ross L. Prentice & Holly Janes, 2018. "Case†only approach to identifying markers predicting treatment effects on the relative risk scale," Biometrics, The International Biometric Society, vol. 74(2), pages 753-763, June.
    2. Thomas W Winkler & Anne E Justice & L Adrienne Cupples & Florian Kronenberg & Zoltán Kutalik & Iris M Heid & the GIANT consortium, 2017. "Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    3. Merete Ellingjord-Dale & Nikos Papadimitriou & Michail Katsoulis & Chew Yee & Niki Dimou & Dipender Gill & Dagfinn Aune & Jue-Sheng Ong & Stuart MacGregor & Benjamin Elsworth & Sarah J Lewis & Richard, 2021. "Coffee consumption and risk of breast cancer: A Mendelian randomization study," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-15, January.
    4. Jennifer A. Smith & Wei Zhao & Kalyn Yasutake & Carmella August & Scott M. Ratliff & Jessica D. Faul & Eric Boerwinkle & Aravinda Chakravarti & Ana V. Diez Roux & Yan Gao & Michael E. Griswold & Gerar, 2017. "Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    5. Edna J. Nava-Gonzalez & Esther C. Gallegos-Cabriales & Irene Leal-Berumen & Raul A. Bastarrachea, 2017. "Mini-Review: The Contribution of Intermediate Phenotypes to GxE Effects on Disorders of Body Composition in the New OMICS Era," IJERPH, MDPI, vol. 14(9), pages 1-11, September.
    6. Noha Sharafeldin & Martha L. Slattery & Qi Liu & Conrado Franco-Villalobos & Bette J. Caan & John D. Potter & Yutaka Yasui, 2017. "Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival," IJERPH, MDPI, vol. 14(10), pages 1-15, September.
    7. Regina Grazuleviciene & Asta Danileviciute & Ruta Nadisauskiene & Jone Vencloviene, 2009. "Maternal Smoking,GSTM1 and GSTT1 Polymorphism and Susceptibility to Adverse Pregnancy Outcomes," IJERPH, MDPI, vol. 6(3), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8089-:d:439195. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.