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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Published in | Human genome variation Vol. 8; no. 1; pp. 7 - 6 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
04.02.2021
Springer Nature B.V Nature Publishing Group |
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Abstract | 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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AbstractList | 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.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. 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. Abstract 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. |
ArticleNumber | 7 |
Author | Sensorn, Insee Klumsathian, Sommon Hlaing, Tin Maung Patrinos, George P. Vo, Nam Sy Runcharoen, Chakkaphan Wattanapokayakit, Sukanya Mahasirimongkol, Surakameth Al-Mahayri, Zeina N. Liopetas, Ioannis Sayasone, Somphou Zain, Shamsul Mohd Yuliwulandari, Rika Mushiroda, Taisei Mohamed, Zahurin Kordou, Zoe Nevado, Jose Pung, Yuh-Fen Kounnavong, Sengchanh Tsikrika, Athina Ali, Bassam R. Chantratita, Wasun Tsermpini, Evangelia-Eirini Xayavong, Dalouny Mitropoulou, Christina Prayuni, Kinasih Le, Ly Noor, Dzul Azri Mohamed Thant, Myo Xangsayarath, Phonepadith Koromina, Maria Tong, Hang Silao, Catherine Lynn Capule, Francis Zahroh, Hilyatuz Fukunaga, Koya Iemwimangsa, Nareenart Charoenyingwattana, Angkana Kesornsit, Aumpika |
Author_xml | – sequence: 1 givenname: Chakkaphan surname: Runcharoen fullname: Runcharoen, Chakkaphan organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University – sequence: 2 givenname: Koya surname: Fukunaga fullname: Fukunaga, Koya organization: Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences – sequence: 3 givenname: Insee surname: Sensorn fullname: Sensorn, Insee organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University – sequence: 4 givenname: Nareenart surname: Iemwimangsa fullname: Iemwimangsa, Nareenart organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University – sequence: 5 givenname: Sommon surname: Klumsathian fullname: Klumsathian, Sommon organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University – sequence: 6 givenname: Hang surname: Tong fullname: Tong, Hang organization: School of Biotechnology, International University, Vietnam National University – sequence: 7 givenname: Nam Sy surname: Vo fullname: Vo, Nam Sy organization: Vingroup Big Data Institute – sequence: 8 givenname: Ly surname: Le fullname: Le, Ly organization: School of Biotechnology, International University, Vietnam National University, Vingroup Big Data Institute – sequence: 9 givenname: Tin Maung surname: Hlaing fullname: Hlaing, Tin Maung organization: Defence Services Medical Academy – sequence: 10 givenname: Myo surname: Thant fullname: Thant, Myo organization: Defence Services Medical Research Centre – sequence: 11 givenname: Shamsul Mohd surname: Zain fullname: Zain, Shamsul Mohd organization: Department of Pharmacology, Faculty of Medicine, University of Malaya – sequence: 12 givenname: Zahurin surname: Mohamed fullname: Mohamed, Zahurin organization: Department of Pharmacology, Faculty of Medicine, University of Malaya – sequence: 13 givenname: Yuh-Fen surname: Pung fullname: Pung, Yuh-Fen organization: Department of Biomedical Sciences, University of Nottingham (Malaysia Campus) – sequence: 14 givenname: Francis surname: Capule fullname: Capule, Francis organization: Department of Pharmacy, College of Pharmacy, University of the Philippines Manila – sequence: 15 givenname: Jose surname: Nevado fullname: Nevado, Jose organization: Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila – sequence: 16 givenname: Catherine Lynn surname: Silao fullname: Silao, Catherine Lynn organization: Institute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Department of Pediatrics, Philippine General Hospital and College of Medicine, University of the Philippines Manila – sequence: 17 givenname: Zeina N. orcidid: 0000-0002-4673-6692 surname: Al-Mahayri fullname: Al-Mahayri, Zeina N. organization: Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University – sequence: 18 givenname: Bassam R. surname: Ali fullname: Ali, Bassam R. organization: Department of Pathology and Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University – sequence: 19 givenname: Rika orcidid: 0000-0003-1682-6280 surname: Yuliwulandari fullname: Yuliwulandari, Rika organization: Department of Pharmacology, Faculty of Medicine, YARSI University, Genetic Research Center, YARSI Research Institute, YARSI University – sequence: 20 givenname: Kinasih surname: Prayuni fullname: Prayuni, Kinasih organization: Genetic Research Center, YARSI Research Institute, YARSI University – sequence: 21 givenname: Hilyatuz surname: Zahroh fullname: Zahroh, Hilyatuz organization: Genetic Research Center, YARSI Research Institute, YARSI University – sequence: 22 givenname: Dzul Azri Mohamed surname: Noor fullname: Noor, Dzul Azri Mohamed organization: School of Pharmaceutical Sciences, Universiti Sains Malaysia – sequence: 23 givenname: Phonepadith surname: Xangsayarath fullname: Xangsayarath, Phonepadith organization: National Center for Laboratory and Epidemiology (NCLE) – sequence: 24 givenname: Dalouny surname: Xayavong fullname: Xayavong, Dalouny organization: National Center for Laboratory and Epidemiology (NCLE) – sequence: 25 givenname: Sengchanh surname: Kounnavong fullname: Kounnavong, Sengchanh organization: Lao Tropical and Public Health Institute – sequence: 26 givenname: Somphou surname: Sayasone fullname: Sayasone, Somphou organization: Lao Tropical and Public Health Institute – sequence: 27 givenname: Zoe surname: Kordou fullname: Kordou, Zoe organization: University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy – sequence: 28 givenname: Ioannis surname: Liopetas fullname: Liopetas, Ioannis organization: University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics 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College of Medicine and Health Sciences, United Arab Emirates University, University of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy – sequence: 34 givenname: Aumpika surname: Kesornsit fullname: Kesornsit, Aumpika organization: Graduate Program in Molecular Medicine, Faculty of Science, Mahidol University – sequence: 35 givenname: Angkana surname: Charoenyingwattana fullname: Charoenyingwattana, Angkana organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University – sequence: 36 givenname: Sukanya surname: Wattanapokayakit fullname: Wattanapokayakit, Sukanya organization: Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health – sequence: 37 givenname: Surakameth surname: Mahasirimongkol fullname: Mahasirimongkol, Surakameth organization: Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health – sequence: 38 givenname: Taisei surname: Mushiroda fullname: Mushiroda, Taisei email: mushiroda@riken.jp organization: Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences – sequence: 39 givenname: Wasun surname: Chantratita fullname: Chantratita, Wasun email: wasun.cha@mahidol.ac.th organization: Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33542200$$D View this record in MEDLINE/PubMed |
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Title | Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm) |
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