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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).

Chakkaphan RuncharoenKoya FukunagaInsee SensornNareenart IemwimangsaSommon KlumsathianHang TongNam Sy VoLy LeTin Maung HlaingMyo ThantShamsul Mohd ZainZahurin MohamedYuh-Fen PungFrancis CapuleJose NevadoCatherine Lynn SilaoZeina N Al-MahayriBassam R AliRika YuliwulandariKinasih PrayuniHilyatuz ZahrohDzul Azri Mohamed NoorPhonepadith XangsayarathDalouny XayavongSengchanh KounnavongSomphou SayasoneZoe KordouIoannis LiopetasAthina TsikrikaEvangelia-Eirini TsermpiniMaria KorominaChristina MitropoulouGeorge P PatrinosAumpika KesornsitAngkana CharoenyingwattanaSukanya WattanapokayakitSurakameth MahasirimongkolTaisei MushirodaWasun Chantratita
Published in: Human genome variation (2021)
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.
Keyphrases
  • clinical decision support
  • copy number
  • electronic health record
  • genome wide
  • genetic diversity
  • adverse drug
  • risk factors
  • machine learning
  • drug induced
  • combination therapy
  • big data
  • atomic force microscopy
  • cell free