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Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer
Lung cancer is the leading cause of cancer mortality in Mexico and worldwide. In the past decade, there has been an increase in the number of lung cancer cases in young people, which suggests an important role for genetic background in the etiology of this disease. In this study, we genetically char...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229106/ https://www.ncbi.nlm.nih.gov/pubmed/22215955 http://dx.doi.org/10.1590/S1415-47572011005000053 |
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author | Pérez-Morales, Rebeca Méndez-Ramírez, Ignacio Castro-Hernández, Clementina Martínez-Ramírez, Ollin C. Gonsebatt, María Eugenia Rubio, Julieta |
author_facet | Pérez-Morales, Rebeca Méndez-Ramírez, Ignacio Castro-Hernández, Clementina Martínez-Ramírez, Ollin C. Gonsebatt, María Eugenia Rubio, Julieta |
author_sort | Pérez-Morales, Rebeca |
collection | PubMed |
description | Lung cancer is the leading cause of cancer mortality in Mexico and worldwide. In the past decade, there has been an increase in the number of lung cancer cases in young people, which suggests an important role for genetic background in the etiology of this disease. In this study, we genetically characterized 16 polymorphisms in 12 low penetrance genes (AhR, CYP1A1, CYP2E1, EPHX1, GSTM1, GSTT1, GSTPI, XRCC1, ERCC2, MGMT, CCND1 and TP53) in 382 healthy Mexican Mestizos as the first step in elucidating the genetic structure of this population and identifying high risk individuals. All of the genotypes analyzed were in Hardy-Weinberg equilibrium, but different degrees of linkage were observed for polymorphisms in the CYP1A1 and EPHX1 genes. The genetic variability of this population was distributed in six clusters that were defined based on their genetic characteristics. The use of a polygenic model to assess the additive effect of low penetrance risk alleles identified combinations of risk genotypes that could be useful in predicting a predisposition to lung cancer. Estimation of the level of genetic susceptibility showed that the individual calculated risk value (iCRV) ranged from 1 to 16, with a higher iCRV indicating a greater genetic susceptibility to lung cancer. |
format | Online Article Text |
id | pubmed-3229106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-32291062012-01-03 Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer Pérez-Morales, Rebeca Méndez-Ramírez, Ignacio Castro-Hernández, Clementina Martínez-Ramírez, Ollin C. Gonsebatt, María Eugenia Rubio, Julieta Genet Mol Biol Human and Medical Genetics Lung cancer is the leading cause of cancer mortality in Mexico and worldwide. In the past decade, there has been an increase in the number of lung cancer cases in young people, which suggests an important role for genetic background in the etiology of this disease. In this study, we genetically characterized 16 polymorphisms in 12 low penetrance genes (AhR, CYP1A1, CYP2E1, EPHX1, GSTM1, GSTT1, GSTPI, XRCC1, ERCC2, MGMT, CCND1 and TP53) in 382 healthy Mexican Mestizos as the first step in elucidating the genetic structure of this population and identifying high risk individuals. All of the genotypes analyzed were in Hardy-Weinberg equilibrium, but different degrees of linkage were observed for polymorphisms in the CYP1A1 and EPHX1 genes. The genetic variability of this population was distributed in six clusters that were defined based on their genetic characteristics. The use of a polygenic model to assess the additive effect of low penetrance risk alleles identified combinations of risk genotypes that could be useful in predicting a predisposition to lung cancer. Estimation of the level of genetic susceptibility showed that the individual calculated risk value (iCRV) ranged from 1 to 16, with a higher iCRV indicating a greater genetic susceptibility to lung cancer. Sociedade Brasileira de Genética 2011-10-01 2011 /pmc/articles/PMC3229106/ /pubmed/22215955 http://dx.doi.org/10.1590/S1415-47572011005000053 Text en Copyright © 2011, Sociedade Brasileira de Genética. Printed in Brazil License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Human and Medical Genetics Pérez-Morales, Rebeca Méndez-Ramírez, Ignacio Castro-Hernández, Clementina Martínez-Ramírez, Ollin C. Gonsebatt, María Eugenia Rubio, Julieta Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title | Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title_full | Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title_fullStr | Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title_full_unstemmed | Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title_short | Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer |
title_sort | polymorphisms associated with the risk of lung cancer in a healthy mexican mestizo population: application of the additive model for cancer |
topic | Human and Medical Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229106/ https://www.ncbi.nlm.nih.gov/pubmed/22215955 http://dx.doi.org/10.1590/S1415-47572011005000053 |
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