Cargando…
A Predictive Model Assessing Genetic Susceptibility Risk at Workplace
(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 cu...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603935/ https://www.ncbi.nlm.nih.gov/pubmed/31195756 http://dx.doi.org/10.3390/ijerph16112012 |
_version_ | 1783431615722029056 |
---|---|
author | Chiarella, Pieranna Capone, Pasquale Carbonari, Damiano Sisto, Renata |
author_facet | Chiarella, Pieranna Capone, Pasquale Carbonari, Damiano Sisto, Renata |
author_sort | Chiarella, Pieranna |
collection | PubMed |
description | (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. |
format | Online Article Text |
id | pubmed-6603935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66039352019-07-19 A Predictive Model Assessing Genetic Susceptibility Risk at Workplace Chiarella, Pieranna Capone, Pasquale Carbonari, Damiano Sisto, Renata Int J Environ Res Public Health Article (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. MDPI 2019-06-05 2019-06 /pmc/articles/PMC6603935/ /pubmed/31195756 http://dx.doi.org/10.3390/ijerph16112012 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chiarella, Pieranna Capone, Pasquale Carbonari, Damiano Sisto, Renata A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title | A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title_full | A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title_fullStr | A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title_full_unstemmed | A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title_short | A Predictive Model Assessing Genetic Susceptibility Risk at Workplace |
title_sort | predictive model assessing genetic susceptibility risk at workplace |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603935/ https://www.ncbi.nlm.nih.gov/pubmed/31195756 http://dx.doi.org/10.3390/ijerph16112012 |
work_keys_str_mv | AT chiarellapieranna apredictivemodelassessinggeneticsusceptibilityriskatworkplace AT caponepasquale apredictivemodelassessinggeneticsusceptibilityriskatworkplace AT carbonaridamiano apredictivemodelassessinggeneticsusceptibilityriskatworkplace AT sistorenata apredictivemodelassessinggeneticsusceptibilityriskatworkplace AT chiarellapieranna predictivemodelassessinggeneticsusceptibilityriskatworkplace AT caponepasquale predictivemodelassessinggeneticsusceptibilityriskatworkplace AT carbonaridamiano predictivemodelassessinggeneticsusceptibilityriskatworkplace AT sistorenata predictivemodelassessinggeneticsusceptibilityriskatworkplace |