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Genetic Polymorphism of CYP2C19 in Pakistani Population
CYP2C19 polymorphism is associated with pretreatment drug response prediction, metabolism, and disposition. Pakistan consists of a population comprising of various ethnic groups residing in different regions of the country each claiming diverse ethnic origins. The identification of CYP450 genotypic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Shaheed Beheshti University of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706708/ https://www.ncbi.nlm.nih.gov/pubmed/31531091 http://dx.doi.org/10.22037/ijpr.2019.1100644 |
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author | Riaz, Sana Muhammad Din, Sadia Usman Tareen, Muhammad Tariq, Fizza Latif, Yusra Siddiqi, Saima Sultan, Aneesa Mansoor, Atika |
author_facet | Riaz, Sana Muhammad Din, Sadia Usman Tareen, Muhammad Tariq, Fizza Latif, Yusra Siddiqi, Saima Sultan, Aneesa Mansoor, Atika |
author_sort | Riaz, Sana |
collection | PubMed |
description | CYP2C19 polymorphism is associated with pretreatment drug response prediction, metabolism, and disposition. Pakistan consists of a population comprising of various ethnic groups residing in different regions of the country each claiming diverse ethnic origins. The identification of CYP450 genotypic composition of these populations is therefore necessary to avoid adverse drug reactions in these individuals. The main objective of the study was to investigate the prevalence of CYP2C19*2 and CYP2C19*17 alleles in these ethnic groups. The study was conducted on one thousand and twenty-eight (n = 1028) healthy volunteers from nine ethnic groups of Pakistan namely Brusho (n = 28), Hazara (n = 102), Kalash (n = 64), Pathan (n = 170), Punjabi (n = 218), Saraiki (n = 59), Brahui (n = 118), Parsi (n = 90), and Sindhi (n = 179). DNA was extracted from leukocytes and analyzed by allele specific amplification polymerase chain reaction (ASA-PCR). Multi allelic polymorphism of CYP2C19 led to four distinct phenotypes identified as extensive metabolizer (EM), poor metabolizer (PM), intermediate metabolizer (IM), and ultra-rapid metabolizer (UM). Over all, the percentage of predicted poor metabolizer allele was 29.0% compared to UM allele (23.70%). Among the studied groups, Saraiki and Brahui showed highest percentage of PM allele (40%, 36%) whereas Parsi and Hazara had highest percentage of UM allele (37% and 30% respectively). In conclusion, the high allele frequency of PM (CYP2C19*2 and *17) in Pakistani population led to the recommendation of a pre-treatment test to monitor drug response and dosage (personalized medicine) to avoid post-treatment adverse drug reactions. |
format | Online Article Text |
id | pubmed-6706708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-67067082019-09-17 Genetic Polymorphism of CYP2C19 in Pakistani Population Riaz, Sana Muhammad Din, Sadia Usman Tareen, Muhammad Tariq, Fizza Latif, Yusra Siddiqi, Saima Sultan, Aneesa Mansoor, Atika Iran J Pharm Res Original Article CYP2C19 polymorphism is associated with pretreatment drug response prediction, metabolism, and disposition. Pakistan consists of a population comprising of various ethnic groups residing in different regions of the country each claiming diverse ethnic origins. The identification of CYP450 genotypic composition of these populations is therefore necessary to avoid adverse drug reactions in these individuals. The main objective of the study was to investigate the prevalence of CYP2C19*2 and CYP2C19*17 alleles in these ethnic groups. The study was conducted on one thousand and twenty-eight (n = 1028) healthy volunteers from nine ethnic groups of Pakistan namely Brusho (n = 28), Hazara (n = 102), Kalash (n = 64), Pathan (n = 170), Punjabi (n = 218), Saraiki (n = 59), Brahui (n = 118), Parsi (n = 90), and Sindhi (n = 179). DNA was extracted from leukocytes and analyzed by allele specific amplification polymerase chain reaction (ASA-PCR). Multi allelic polymorphism of CYP2C19 led to four distinct phenotypes identified as extensive metabolizer (EM), poor metabolizer (PM), intermediate metabolizer (IM), and ultra-rapid metabolizer (UM). Over all, the percentage of predicted poor metabolizer allele was 29.0% compared to UM allele (23.70%). Among the studied groups, Saraiki and Brahui showed highest percentage of PM allele (40%, 36%) whereas Parsi and Hazara had highest percentage of UM allele (37% and 30% respectively). In conclusion, the high allele frequency of PM (CYP2C19*2 and *17) in Pakistani population led to the recommendation of a pre-treatment test to monitor drug response and dosage (personalized medicine) to avoid post-treatment adverse drug reactions. Shaheed Beheshti University of Medical Sciences 2019 /pmc/articles/PMC6706708/ /pubmed/31531091 http://dx.doi.org/10.22037/ijpr.2019.1100644 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Riaz, Sana Muhammad Din, Sadia Usman Tareen, Muhammad Tariq, Fizza Latif, Yusra Siddiqi, Saima Sultan, Aneesa Mansoor, Atika Genetic Polymorphism of CYP2C19 in Pakistani Population |
title | Genetic Polymorphism of CYP2C19 in Pakistani Population |
title_full | Genetic Polymorphism of CYP2C19 in Pakistani Population |
title_fullStr | Genetic Polymorphism of CYP2C19 in Pakistani Population |
title_full_unstemmed | Genetic Polymorphism of CYP2C19 in Pakistani Population |
title_short | Genetic Polymorphism of CYP2C19 in Pakistani Population |
title_sort | genetic polymorphism of cyp2c19 in pakistani population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706708/ https://www.ncbi.nlm.nih.gov/pubmed/31531091 http://dx.doi.org/10.22037/ijpr.2019.1100644 |
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