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A Predictive Model Assessing Genetic Susceptibility Risk at Workplace

Author

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  • Pieranna Chiarella

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy)

  • Pasquale Capone

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy)

  • Damiano Carbonari

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy)

  • Renata Sisto

    (Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy)

Abstract

(1) Background: The study of susceptibility biomarkers in the immigrant workforce integrated into the social tissue of European host countries is always a challenge, due to high individual heterogeneity and the admixing of different ethnicities in the same workplace. These workers having distinct cultural backgrounds, beliefs, diets, and habits, as well as a poor knowledge of the foreign language, may feel reluctant to donate their biological specimens for the biomonitoring research studies. (2) Methods: A model predicting ethnicity-specific susceptibility based on principal component analysis has been conceived, using the genotype frequency of the investigated populations available in publicly accessible databases. (3) Results: Correlations among ethnicities and between ethnic and polymorphic genes have been found, and low/high-risk profiles have been identified as valuable susceptibility biomarkers. (4) Conclusions: In the absence of workers’ consent or access to blood genotyping, ethnicity represents a good indicator of the subject’s genotype. This model, associating ethnicity-specific genotype frequency with the susceptibility biomarkers involved in the metabolism of toxicants, may replace genotyping, ensuring the necessary safety and health conditions of workers assigned to hazardous jobs.

Suggested Citation

  • Pieranna Chiarella & Pasquale Capone & Damiano Carbonari & Renata Sisto, 2019. "A Predictive Model Assessing Genetic Susceptibility Risk at Workplace," IJERPH, MDPI, vol. 16(11), pages 1-13, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:2012-:d:237635
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    References listed on IDEAS

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    1. Massimiliano Bratti & Chiara Conti, 2018. "The effect of immigration on innovation in Italy," Regional Studies, Taylor & Francis Journals, vol. 52(7), pages 934-947, July.
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    Cited by:

    1. Pieranna Chiarella & Pasquale Capone & Renata Sisto, 2023. "Contribution of Genetic Polymorphisms in Human Health," IJERPH, MDPI, vol. 20(2), pages 1-15, January.

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