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Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)

Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing pu...

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Autores principales: Runcharoen, Chakkaphan, Fukunaga, Koya, Sensorn, Insee, Iemwimangsa, Nareenart, Klumsathian, Sommon, Tong, Hang, Vo, Nam Sy, Le, Ly, Hlaing, Tin Maung, Thant, Myo, Zain, Shamsul Mohd, Mohamed, Zahurin, Pung, Yuh-Fen, Capule, Francis, Nevado, Jose, Silao, Catherine Lynn, Al-Mahayri, Zeina N., Ali, Bassam R., Yuliwulandari, Rika, Prayuni, Kinasih, Zahroh, Hilyatuz, Noor, Dzul Azri Mohamed, Xangsayarath, Phonepadith, Xayavong, Dalouny, Kounnavong, Sengchanh, Sayasone, Somphou, Kordou, Zoe, Liopetas, Ioannis, Tsikrika, Athina, Tsermpini, Evangelia-Eirini, Koromina, Maria, Mitropoulou, Christina, Patrinos, George P., Kesornsit, Aumpika, Charoenyingwattana, Angkana, Wattanapokayakit, Sukanya, Mahasirimongkol, Surakameth, Mushiroda, Taisei, Chantratita, Wasun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862625/
https://www.ncbi.nlm.nih.gov/pubmed/33542200
http://dx.doi.org/10.1038/s41439-021-00135-z
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author Runcharoen, Chakkaphan
Fukunaga, Koya
Sensorn, Insee
Iemwimangsa, Nareenart
Klumsathian, Sommon
Tong, Hang
Vo, Nam Sy
Le, Ly
Hlaing, Tin Maung
Thant, Myo
Zain, Shamsul Mohd
Mohamed, Zahurin
Pung, Yuh-Fen
Capule, Francis
Nevado, Jose
Silao, Catherine Lynn
Al-Mahayri, Zeina N.
Ali, Bassam R.
Yuliwulandari, Rika
Prayuni, Kinasih
Zahroh, Hilyatuz
Noor, Dzul Azri Mohamed
Xangsayarath, Phonepadith
Xayavong, Dalouny
Kounnavong, Sengchanh
Sayasone, Somphou
Kordou, Zoe
Liopetas, Ioannis
Tsikrika, Athina
Tsermpini, Evangelia-Eirini
Koromina, Maria
Mitropoulou, Christina
Patrinos, George P.
Kesornsit, Aumpika
Charoenyingwattana, Angkana
Wattanapokayakit, Sukanya
Mahasirimongkol, Surakameth
Mushiroda, Taisei
Chantratita, Wasun
author_facet Runcharoen, Chakkaphan
Fukunaga, Koya
Sensorn, Insee
Iemwimangsa, Nareenart
Klumsathian, Sommon
Tong, Hang
Vo, Nam Sy
Le, Ly
Hlaing, Tin Maung
Thant, Myo
Zain, Shamsul Mohd
Mohamed, Zahurin
Pung, Yuh-Fen
Capule, Francis
Nevado, Jose
Silao, Catherine Lynn
Al-Mahayri, Zeina N.
Ali, Bassam R.
Yuliwulandari, Rika
Prayuni, Kinasih
Zahroh, Hilyatuz
Noor, Dzul Azri Mohamed
Xangsayarath, Phonepadith
Xayavong, Dalouny
Kounnavong, Sengchanh
Sayasone, Somphou
Kordou, Zoe
Liopetas, Ioannis
Tsikrika, Athina
Tsermpini, Evangelia-Eirini
Koromina, Maria
Mitropoulou, Christina
Patrinos, George P.
Kesornsit, Aumpika
Charoenyingwattana, Angkana
Wattanapokayakit, Sukanya
Mahasirimongkol, Surakameth
Mushiroda, Taisei
Chantratita, Wasun
author_sort Runcharoen, Chakkaphan
collection PubMed
description Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing publicly available data. A panel of 100 pharmacogenes among Southeast Asian (SEA) populations was resequenced using the NGS platform under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Here, we present the frequencies of pharmacogenomic variants and the comparison of these pharmacogenomic variants among different SEA populations and other populations used as controls. We investigated the different types of pharmacogenomic variants, especially those that may have a functional impact. Our results provide substantial genetic variations at 100 pharmacogenomic loci among SEA populations that may contribute to interpopulation variability in drug response phenotypes. Correspondingly, this study provides basic information for further pharmacogenomic investigations in SEA populations.
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spelling pubmed-78626252021-02-16 Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm) Runcharoen, Chakkaphan Fukunaga, Koya Sensorn, Insee Iemwimangsa, Nareenart Klumsathian, Sommon Tong, Hang Vo, Nam Sy Le, Ly Hlaing, Tin Maung Thant, Myo Zain, Shamsul Mohd Mohamed, Zahurin Pung, Yuh-Fen Capule, Francis Nevado, Jose Silao, Catherine Lynn Al-Mahayri, Zeina N. Ali, Bassam R. Yuliwulandari, Rika Prayuni, Kinasih Zahroh, Hilyatuz Noor, Dzul Azri Mohamed Xangsayarath, Phonepadith Xayavong, Dalouny Kounnavong, Sengchanh Sayasone, Somphou Kordou, Zoe Liopetas, Ioannis Tsikrika, Athina Tsermpini, Evangelia-Eirini Koromina, Maria Mitropoulou, Christina Patrinos, George P. Kesornsit, Aumpika Charoenyingwattana, Angkana Wattanapokayakit, Sukanya Mahasirimongkol, Surakameth Mushiroda, Taisei Chantratita, Wasun Hum Genome Var Data Report Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing publicly available data. A panel of 100 pharmacogenes among Southeast Asian (SEA) populations was resequenced using the NGS platform under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Here, we present the frequencies of pharmacogenomic variants and the comparison of these pharmacogenomic variants among different SEA populations and other populations used as controls. We investigated the different types of pharmacogenomic variants, especially those that may have a functional impact. Our results provide substantial genetic variations at 100 pharmacogenomic loci among SEA populations that may contribute to interpopulation variability in drug response phenotypes. Correspondingly, this study provides basic information for further pharmacogenomic investigations in SEA populations. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862625/ /pubmed/33542200 http://dx.doi.org/10.1038/s41439-021-00135-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Report
Runcharoen, Chakkaphan
Fukunaga, Koya
Sensorn, Insee
Iemwimangsa, Nareenart
Klumsathian, Sommon
Tong, Hang
Vo, Nam Sy
Le, Ly
Hlaing, Tin Maung
Thant, Myo
Zain, Shamsul Mohd
Mohamed, Zahurin
Pung, Yuh-Fen
Capule, Francis
Nevado, Jose
Silao, Catherine Lynn
Al-Mahayri, Zeina N.
Ali, Bassam R.
Yuliwulandari, Rika
Prayuni, Kinasih
Zahroh, Hilyatuz
Noor, Dzul Azri Mohamed
Xangsayarath, Phonepadith
Xayavong, Dalouny
Kounnavong, Sengchanh
Sayasone, Somphou
Kordou, Zoe
Liopetas, Ioannis
Tsikrika, Athina
Tsermpini, Evangelia-Eirini
Koromina, Maria
Mitropoulou, Christina
Patrinos, George P.
Kesornsit, Aumpika
Charoenyingwattana, Angkana
Wattanapokayakit, Sukanya
Mahasirimongkol, Surakameth
Mushiroda, Taisei
Chantratita, Wasun
Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title_full Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title_fullStr Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title_full_unstemmed Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title_short Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)
title_sort prevalence of pharmacogenomic variants in 100 pharmacogenes among southeast asian populations under the collaboration of the southeast asian pharmacogenomics research network (seapharm)
topic Data Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862625/
https://www.ncbi.nlm.nih.gov/pubmed/33542200
http://dx.doi.org/10.1038/s41439-021-00135-z
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