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The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries

Cancer is a multifactorial group of diseases, being highly incident and one of the leading causes of death worldwide. In Brazil, there is a great variation in cancer incidence and impact among the different geographic regions, partly due to the genetic heterogeneity of the population in this country...

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Autores principales: Andrade, Roberta B., Cavalcante, Giovanna C., Amador, Marcos A. T., Moreira, Fabiano Cordeiro, Khayat, André S., Assumpção, Paulo P., Ribeiro-dos-Santos, Ândrea, Santos, Ney P. C., Santos, Sidney
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164054/
https://www.ncbi.nlm.nih.gov/pubmed/35678683
http://dx.doi.org/10.3390/cimb44050154
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author Andrade, Roberta B.
Cavalcante, Giovanna C.
Amador, Marcos A. T.
Moreira, Fabiano Cordeiro
Khayat, André S.
Assumpção, Paulo P.
Ribeiro-dos-Santos, Ândrea
Santos, Ney P. C.
Santos, Sidney
author_facet Andrade, Roberta B.
Cavalcante, Giovanna C.
Amador, Marcos A. T.
Moreira, Fabiano Cordeiro
Khayat, André S.
Assumpção, Paulo P.
Ribeiro-dos-Santos, Ândrea
Santos, Ney P. C.
Santos, Sidney
author_sort Andrade, Roberta B.
collection PubMed
description Cancer is a multifactorial group of diseases, being highly incident and one of the leading causes of death worldwide. In Brazil, there is a great variation in cancer incidence and impact among the different geographic regions, partly due to the genetic heterogeneity of the population in this country, composed mainly by European (EUR), Native American (NAM), African (AFR), and Asian (ASN) ancestries. Among different populations, genetic markers commonly present diverse allelic frequencies, but in admixed populations, such as the Brazilian population, data is still limited, which is an issue that might influence cancer incidence. Therefore, we analyzed the allelic and genotypic distribution of 12 INDEL polymorphisms of interest in populations from the five Brazilian geographic regions and in populations representing EUR, NAM, AFR, and ASN, as well as tissue expression in silico. Genotypes were obtained by multiplex PCR and the statistical analyses were done using R, while data of tissue expression for each marker was extracted from GTEx portal. We highlight that all analyzed markers presented statistical differences in at least one of the population comparisons, and that we found 39 tissues to be differentially expressed depending on the genotype. Here, we point out the differences in genotype distribution and gene expression of potential biomarkers for risk of cancer development and we reinforce the importance of this type of study in populations with different genetic backgrounds.
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spelling pubmed-91640542022-06-04 The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries Andrade, Roberta B. Cavalcante, Giovanna C. Amador, Marcos A. T. Moreira, Fabiano Cordeiro Khayat, André S. Assumpção, Paulo P. Ribeiro-dos-Santos, Ândrea Santos, Ney P. C. Santos, Sidney Curr Issues Mol Biol Article Cancer is a multifactorial group of diseases, being highly incident and one of the leading causes of death worldwide. In Brazil, there is a great variation in cancer incidence and impact among the different geographic regions, partly due to the genetic heterogeneity of the population in this country, composed mainly by European (EUR), Native American (NAM), African (AFR), and Asian (ASN) ancestries. Among different populations, genetic markers commonly present diverse allelic frequencies, but in admixed populations, such as the Brazilian population, data is still limited, which is an issue that might influence cancer incidence. Therefore, we analyzed the allelic and genotypic distribution of 12 INDEL polymorphisms of interest in populations from the five Brazilian geographic regions and in populations representing EUR, NAM, AFR, and ASN, as well as tissue expression in silico. Genotypes were obtained by multiplex PCR and the statistical analyses were done using R, while data of tissue expression for each marker was extracted from GTEx portal. We highlight that all analyzed markers presented statistical differences in at least one of the population comparisons, and that we found 39 tissues to be differentially expressed depending on the genotype. Here, we point out the differences in genotype distribution and gene expression of potential biomarkers for risk of cancer development and we reinforce the importance of this type of study in populations with different genetic backgrounds. MDPI 2022-05-19 /pmc/articles/PMC9164054/ /pubmed/35678683 http://dx.doi.org/10.3390/cimb44050154 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Andrade, Roberta B.
Cavalcante, Giovanna C.
Amador, Marcos A. T.
Moreira, Fabiano Cordeiro
Khayat, André S.
Assumpção, Paulo P.
Ribeiro-dos-Santos, Ândrea
Santos, Ney P. C.
Santos, Sidney
The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title_full The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title_fullStr The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title_full_unstemmed The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title_short The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries
title_sort search for cancer biomarkers: assessing the distribution of indel markers in different genetic ancestries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164054/
https://www.ncbi.nlm.nih.gov/pubmed/35678683
http://dx.doi.org/10.3390/cimb44050154
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