ArticleScientific reports2024
Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Genetic Variants Associated with Non-Steroidal Anti-Inflammatory Drug-Induced Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis.Medical sciences (Basel, Switzerland) · 2026Article
- Pharmacogenomic landscape in Thailand: Array-based profiling and EMR-linked medication exposure.PloS one · 2026Article
- Pharmacogenomic and Clinical Predictors of Deferasirox Response in Transfusion-Dependent Thalassemia Identified Using Whole-Genome Sequencing.Clinical and translational science · 2025Article
- Clinical impact of pharmacogenetic risk variants in a large chinese cohort.Nature communications · 2025Article
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32 authors.
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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.
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