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A Predictive Model Assessing Genetic Susceptibility Risk at Workplace.

Pieranna Chiarella¹, Pasquale Capone², Damiano Carbonari³

¹Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy. p.chiarella@inail.it.

International Journal of Environmental Research and Public Health

|June 15, 2019

Summary

Ethnicity can predict genetic susceptibility in immigrant workers when consent for genetic testing is unavailable. This approach helps identify high-risk individuals for workplace safety, especially in hazardous jobs.

Keywords:

Biomonitoring ethnicity gene polymorphism migration occupational health susceptibility biomarker

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Area of Science:

Occupational health
Genetic epidemiology
Biomonitoring

Background:

Assessing susceptibility biomarkers in diverse immigrant workforces presents challenges due to heterogeneity and reluctance to provide biological samples.
Individual differences in cultural backgrounds, diets, habits, and language barriers complicate biomonitoring research among immigrant laborers.

Purpose of the Study:

To develop a predictive model for ethnicity-specific susceptibility to toxicants.
To establish ethnicity as a surrogate for genetic information in occupational health assessments when direct genotyping is not feasible.

Main Methods:

A predictive model was developed using principal component analysis.
Genotype frequencies from publicly accessible databases were utilized to correlate ethnicities with polymorphic genes.

Main Results:

Significant correlations were identified between different ethnicities and between ethnic groups and polymorphic genes.
Low- and high-risk profiles were established as valuable susceptibility biomarkers.

Conclusions:

Ethnicity serves as a reliable indicator of a subject's genotype in the absence of consent or access to blood genotyping.
The proposed model, linking ethnicity-specific genotype frequencies to toxicant metabolism biomarkers, can enhance worker safety in hazardous environments by replacing direct genotyping.