Evidence map›Paper›PMID 33542200›Full record

ArticleHuman genome variation2021

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

Chakkaphan Runcharoen, Koya Fukunaga, Insee Sensorn, Nareenart Iemwimangsa, Sommon Klumsathian, Hang Tong, Nam Sy Vo, Ly Le, Tin Maung Hlaing, Myo Thant and 29 more

Abstract read
In one paragraph

Article in Human genome variation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  14. Relevance ofPharmaceutics · 2022
    Article
  15. Pharmacogenomics in Psychiatry Practice: The Value and the Challenges.International journal of molecular sciences · 2022
    Review
  16. PharmaKoVariome database for supporting genetic testing.Database : the journal of biological databases and curation · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors.

Chakkaphan Runcharoen *Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Koya Fukunaga *Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Insee SensornCenter for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Nareenart IemwimangsaCenter for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Sommon KlumsathianCenter for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Hang TongSchool of Biotechnology, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
Nam Sy VoVingroup Big Data Institute, Hanoi, Vietnam.
Ly LeSchool of Biotechnology, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
Tin Maung HlaingDefence Services Medical Academy, Mingalardon, Myanmar.
Myo ThantDefence Services Medical Research Centre, Nay Pyi Taw, Myanmar.
Shamsul Mohd ZainDepartment of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Zahurin MohamedDepartment of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Yuh-Fen PungDepartment of Biomedical Sciences, University of Nottingham (Malaysia Campus), Selangor, Malaysia.
Francis CapuleDepartment of Pharmacy, College of Pharmacy, University of the Philippines Manila, Manila, Philippines.
Jose NevadoInstitute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
Catherine Lynn SilaoInstitute of Human Genetics, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
Zeina N Al-MahayriDepartment of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.ORCID http://orcid.org/0000-0002-4673-6692
Bassam R AliDepartment of Pathology and Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Rika YuliwulandariDepartment of Pharmacology, Faculty of Medicine, YARSI University, Jakarta, Indonesia.ORCID http://orcid.org/0000-0003-1682-6280
Kinasih PrayuniGenetic Research Center, YARSI Research Institute, YARSI University, Jakarta, Indonesia.
Hilyatuz ZahrohGenetic Research Center, YARSI Research Institute, YARSI University, Jakarta, Indonesia.
Dzul Azri Mohamed NoorSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
Phonepadith XangsayarathNational Center for Laboratory and Epidemiology (NCLE), Vientiane, Lao PDR.
Dalouny XayavongNational Center for Laboratory and Epidemiology (NCLE), Vientiane, Lao PDR.
Sengchanh KounnavongLao Tropical and Public Health Institute, Vientiane, Lao PDR.
Somphou SayasoneLao Tropical and Public Health Institute, Vientiane, Lao PDR.
Zoe KordouUniversity of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy, Patras, Greece.
Ioannis LiopetasUniversity of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy, Patras, Greece.
Athina TsikrikaUniversity of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy, Patras, Greece.
Evangelia-Eirini TsermpiniUniversity of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy, Patras, Greece.ORCID http://orcid.org/0000-0002-8592-7790
Maria KorominaUniversity of Patras, School of Health Sciences, Department of Pharmacy, Laboratory of Pharmacogenomics and Individualised Therapy, Patras, Greece.
Christina MitropoulouThe Golden Helix Foundation, London, UK.
George P PatrinosDepartment of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Aumpika KesornsitGraduate Program in Molecular Medicine, Faculty of Science, Mahidol University, Bangkok, Thailand.
Angkana CharoenyingwattanaCenter for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Sukanya WattanapokayakitDivision of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand.
Surakameth MahasirimongkolDivision of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand.
Taisei MushirodaLaboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. mushiroda@riken.jp.
Wasun ChantratitaCenter for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. wasun.cha@mahidol.ac.th.

Funding

Thailand Research Fund (TRF) IRN60W0003
6 · The paper itself

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.

Identifiers

PMID33542200
PMCPMC7862625

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.