Evidence map›Paper›PMID 31195756›Full record

ArticleInternational journal of environmental research and public health2019

A Predictive Model Assessing Genetic Susceptibility Risk at Workplace.

Pieranna Chiarella, Pasquale Capone, Damiano Carbonari, Renata Sisto

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Contribution of Genetic Polymorphisms in Human Health.International journal of environmental research and public health · 2023
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pieranna ChiarellaDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy. p.chiarella@inail.it.
Pasquale CaponeDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy. p.capone@inail.it.
Damiano CarbonariDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy. d.carbonari@inail.it.
Renata SistoDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL Research, Via Fontana Candida 1, 00078 Monteporzio Catone, Rome, Italy. r.sisto@inail.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, GeneticWorkplaceEthnicityGenetic Predisposition to DiseaseHumansItalyPrincipal Component AnalysisRisk AssessmentBiomonitoringethnicitygene polymorphismmigrationoccupational healthsusceptibility biomarker

Identifiers

PMID31195756
PMCPMC6603935

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.