Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals
Issued Date
2024-12-01
Resource Type
eISSN
20452322
Scopus ID
2-s2.0-85213504328
Journal Title
Scientific Reports
Volume
14
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Scientific Reports Vol.14 No.1 (2024)
Suggested Citation
Piriyapongsa J., Chumnumwat S., Kaewprommal P., Triparn K., Suvichapanich S., Udomsinprasert W., Jittikoon J., Shaw P.J., Nakhonsri V., Ngamphiw C., Wangkumhang P., Pithukpakorn M., Roothumnong E., Wiboonthanasarn S., Kuptanon C., Jinawath N., Porntaveetus T., Suriyaphol P., Viprakasit V., Pisitkun P., Kantaputra P., Tim-Aroon T., Wattanasirichaigoon D., Sura T., Suphapeetiporn K., Sripichai O., Khongphatthanayothin A., Fucharoen S., Ngamphaiboon N., Shotelersuk V., Mahasirimongkol S., Tongsima S. Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals. Scientific Reports Vol.14 No.1 (2024). doi:10.1038/s41598-024-79018-6 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/102620
Title
Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals
Author(s)
Piriyapongsa J.
Chumnumwat S.
Kaewprommal P.
Triparn K.
Suvichapanich S.
Udomsinprasert W.
Jittikoon J.
Shaw P.J.
Nakhonsri V.
Ngamphiw C.
Wangkumhang P.
Pithukpakorn M.
Roothumnong E.
Wiboonthanasarn S.
Kuptanon C.
Jinawath N.
Porntaveetus T.
Suriyaphol P.
Viprakasit V.
Pisitkun P.
Kantaputra P.
Tim-Aroon T.
Wattanasirichaigoon D.
Sura T.
Suphapeetiporn K.
Sripichai O.
Khongphatthanayothin A.
Fucharoen S.
Ngamphaiboon N.
Shotelersuk V.
Mahasirimongkol S.
Tongsima S.
Chumnumwat S.
Kaewprommal P.
Triparn K.
Suvichapanich S.
Udomsinprasert W.
Jittikoon J.
Shaw P.J.
Nakhonsri V.
Ngamphiw C.
Wangkumhang P.
Pithukpakorn M.
Roothumnong E.
Wiboonthanasarn S.
Kuptanon C.
Jinawath N.
Porntaveetus T.
Suriyaphol P.
Viprakasit V.
Pisitkun P.
Kantaputra P.
Tim-Aroon T.
Wattanasirichaigoon D.
Sura T.
Suphapeetiporn K.
Sripichai O.
Khongphatthanayothin A.
Fucharoen S.
Ngamphaiboon N.
Shotelersuk V.
Mahasirimongkol S.
Tongsima S.
Author's Affiliation
Siriraj Hospital
Chulalongkorn University
Rangsit University
King Chulalongkorn Memorial Hospital
Faculty of Medicine Ramathibodi Hospital, Mahidol University
Thailand Ministry of Public Health
Mahidol University
Thailand National Center for Genetic Engineering and Biotechnology
Queen Sirikit National Institute of Child Health
Institute of Molecular Biosciences, Mahidol University
Faculty of Medicine, Chulalongkorn University
Chiang Mai University
Chulalongkorn University
Rangsit University
King Chulalongkorn Memorial Hospital
Faculty of Medicine Ramathibodi Hospital, Mahidol University
Thailand Ministry of Public Health
Mahidol University
Thailand National Center for Genetic Engineering and Biotechnology
Queen Sirikit National Institute of Child Health
Institute of Molecular Biosciences, Mahidol University
Faculty of Medicine, Chulalongkorn University
Chiang Mai University
Corresponding Author(s)
Other Contributor(s)
Abstract
Inter-individual variability in drug responses is significantly influenced by genetic factors, underscoring the importance of population-specific pharmacogenomic studies to optimize clinical outcomes. In this study, we analyzed whole genome sequencing data from 949 unrelated Thai individuals and conducted an in-depth analysis of 3239 genes involved in drug pharmacokinetics, pharmacodynamics, or immune-mediated adverse drug reactions. We identified 43 single nucleotide polymorphisms (SNPs), 134 diplotypes, and 15 human leukocyte antigen (HLA) alleles, all with moderate to high clinical significance. On average, each Thai individual carried 14 SNPs, one to two HLA alleles, and six diplotypes with actionable phenotypic associations. Clinically important diplotypes were present in over 20% of individuals for seven genes (CYP2A6, CYP2B6, CYP2C19, CYP3A5, NAT2, SLCO1B1, and VKORC1). In addition, clinically significant SNPs with allele frequencies exceeding 20% were identified among 15 genes, including VKORC1, CYP4F2, and ABCG2. We also identified 21,211 potentially deleterious variants among 3239 genes. Of these variants, 3746 were novel. The comprehensive dataset from this study serves as a valuable resource of pharmacogenomic variants in the Thai population, which will facilitate the development of personalized drug therapies and enhance patient care in Thailand.