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Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations

Genetic variation is an important determinant affecting either drug response or susceptibility to adverse drug reactions. Several studies have highlighted the importance of ethnicity in influencing drug response variability that should be considered during drug development. Our objective is to chara...

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Autores principales: Jmel, Haifa, Romdhane, Lilia, Ben Halima, Yosra, Hechmi, Meriem, Naouali, Chokri, Dallali, Hamza, Hamdi, Yosr, Shan, Jingxuan, Abid, Abdelmajid, Jamoussi, Henda, Trabelsi, Sameh, Chouchane, Lotfi, Luiselli, Donata, Abdelhak, Sonia, Kefi, Rym
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898725/
https://www.ncbi.nlm.nih.gov/pubmed/29652911
http://dx.doi.org/10.1371/journal.pone.0194842
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author Jmel, Haifa
Romdhane, Lilia
Ben Halima, Yosra
Hechmi, Meriem
Naouali, Chokri
Dallali, Hamza
Hamdi, Yosr
Shan, Jingxuan
Abid, Abdelmajid
Jamoussi, Henda
Trabelsi, Sameh
Chouchane, Lotfi
Luiselli, Donata
Abdelhak, Sonia
Kefi, Rym
author_facet Jmel, Haifa
Romdhane, Lilia
Ben Halima, Yosra
Hechmi, Meriem
Naouali, Chokri
Dallali, Hamza
Hamdi, Yosr
Shan, Jingxuan
Abid, Abdelmajid
Jamoussi, Henda
Trabelsi, Sameh
Chouchane, Lotfi
Luiselli, Donata
Abdelhak, Sonia
Kefi, Rym
author_sort Jmel, Haifa
collection PubMed
description Genetic variation is an important determinant affecting either drug response or susceptibility to adverse drug reactions. Several studies have highlighted the importance of ethnicity in influencing drug response variability that should be considered during drug development. Our objective is to characterize the genetic variability of some pharmacogenes involved in the response to drugs used for the treatment of Metabolic Syndrome (MetS) in Tunisia and to compare our results to the worldwide populations. A set of 135 Tunisians was genotyped using the Affymetrix Chip 6.0 genotyping array. Variants located in 24 Very Important Pharmacogenes (VIP) involved in MetS drug response were extracted from the genotyping data. Analysis of variant distribution in Tunisian population compared to 20 worldwide populations publicly available was performed using R software packages. Common variants between Tunisians and the 20 investigated populations were extracted from genotyping data. Multidimensional screening showed that Tunisian population is clustered with North African and European populations. The greatest divergence was observed with the African and Asian population. In addition, we performed Inter-ethnic comparison based on the genotype frequencies of five VIP biomarkers. The genotype frequencies of the biomarkers rs3846662, rs1045642, rs7294 and rs12255372 located respectively in HMGCR, ABCB1, VKORC1 and TCF7L2 are similar between Tunisian, Tuscan (TSI) and European (CEU). The genotype frequency of the variant rs776746 located in CYP3A5 gene is similar between Tunisian and African populations and different from CEU and TSI. The present study shows that the genetic make up of the Tunisian population is relatively complex in regard to pharmacogenes and reflects previous historical events. It is important to consider this ethnic difference in drug prescription in order to optimize drug response to avoid serious adverse drug reactions. Taking into account similarities with other neighboring populations, our study has an impact not only on the Tunisian population but also on North African population which are underrepresented in pharmacogenomic studies.
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spelling pubmed-58987252018-05-06 Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations Jmel, Haifa Romdhane, Lilia Ben Halima, Yosra Hechmi, Meriem Naouali, Chokri Dallali, Hamza Hamdi, Yosr Shan, Jingxuan Abid, Abdelmajid Jamoussi, Henda Trabelsi, Sameh Chouchane, Lotfi Luiselli, Donata Abdelhak, Sonia Kefi, Rym PLoS One Research Article Genetic variation is an important determinant affecting either drug response or susceptibility to adverse drug reactions. Several studies have highlighted the importance of ethnicity in influencing drug response variability that should be considered during drug development. Our objective is to characterize the genetic variability of some pharmacogenes involved in the response to drugs used for the treatment of Metabolic Syndrome (MetS) in Tunisia and to compare our results to the worldwide populations. A set of 135 Tunisians was genotyped using the Affymetrix Chip 6.0 genotyping array. Variants located in 24 Very Important Pharmacogenes (VIP) involved in MetS drug response were extracted from the genotyping data. Analysis of variant distribution in Tunisian population compared to 20 worldwide populations publicly available was performed using R software packages. Common variants between Tunisians and the 20 investigated populations were extracted from genotyping data. Multidimensional screening showed that Tunisian population is clustered with North African and European populations. The greatest divergence was observed with the African and Asian population. In addition, we performed Inter-ethnic comparison based on the genotype frequencies of five VIP biomarkers. The genotype frequencies of the biomarkers rs3846662, rs1045642, rs7294 and rs12255372 located respectively in HMGCR, ABCB1, VKORC1 and TCF7L2 are similar between Tunisian, Tuscan (TSI) and European (CEU). The genotype frequency of the variant rs776746 located in CYP3A5 gene is similar between Tunisian and African populations and different from CEU and TSI. The present study shows that the genetic make up of the Tunisian population is relatively complex in regard to pharmacogenes and reflects previous historical events. It is important to consider this ethnic difference in drug prescription in order to optimize drug response to avoid serious adverse drug reactions. Taking into account similarities with other neighboring populations, our study has an impact not only on the Tunisian population but also on North African population which are underrepresented in pharmacogenomic studies. Public Library of Science 2018-04-13 /pmc/articles/PMC5898725/ /pubmed/29652911 http://dx.doi.org/10.1371/journal.pone.0194842 Text en © 2018 Jmel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jmel, Haifa
Romdhane, Lilia
Ben Halima, Yosra
Hechmi, Meriem
Naouali, Chokri
Dallali, Hamza
Hamdi, Yosr
Shan, Jingxuan
Abid, Abdelmajid
Jamoussi, Henda
Trabelsi, Sameh
Chouchane, Lotfi
Luiselli, Donata
Abdelhak, Sonia
Kefi, Rym
Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title_full Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title_fullStr Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title_full_unstemmed Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title_short Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
title_sort pharmacogenetic landscape of metabolic syndrome components drug response in tunisia and comparison with worldwide populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898725/
https://www.ncbi.nlm.nih.gov/pubmed/29652911
http://dx.doi.org/10.1371/journal.pone.0194842
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