Noncoding polymorphisms in the VKORC1 gene associate with variation of interindividual dosing requirements of warfarin and other coumarin anticoagulants. The frequency of VKORC1 polymorphisms displays distinct interpopulation differences. Here, we report the distribution of the VKORC1 3673G>A, 5808T>G, 6853G>C and 9041G>A SNPs in three endogamous Amerindian (Native American) populations, namely, Guarani-Kaiowá, Guarani-Nandeva and Kaingang. Individual DNA from 180 healthy adults was genotyped for the VKORC1 polymorphisms using TaqMan Detection System assays. The ARLEQUIN 3.1 software package was used to estimate haplotype frequency and linkage disequilibrium. The VKORC1 3673G>A, 5808T>G, 6853G>C and 9041G>A polymorphisms were in Hardy-Weinberg equilibrium in each population. The 5808G allele was absent or rare (<3%), whereas 3673A, 6853C and 9041A were frequent (34-63%) in the three Amerindian populations. No difference was detected in allele or genotype frequency bewteen the two Guarani populations, whereas significant differences were observed between Kaingang and Guarani. Polymorphisms 3673G>A, 6853G>C and 9041G>A were in significant linkage disequilibrium in both Guarani and Kaingang (pairwise r2 values: 0.77-1.0). Haplotypes ATCG and GTGA accounted for more than 94% of the haplotypes in both populations, ATCG being the most common in Guarani (49.5%) and GTGA in Kaingang (54%). These data disclose the uniqueness of the frequency distribution of the VKORC1 SNPs in the Amerindians, compared with Asian, African and European populations. In view of the vast interpopulational diversity among Amerindians, the present data should not be interpreted as representative of other extant Amerindian peoples. Our estimates that 40% of Kaingang and 60% of Guarani have haplotypes including the variant 3673A allele suggest that these two Amerindian populations comprise high proportions of individuals requiring reduced warfarin doses.
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http://dx.doi.org/10.2217/14622416.9.11.1623 | DOI Listing |
Sci Rep
December 2024
National Biobank of Thailand, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand.
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.
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December 2024
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China. Electronic address:
Sci Total Environ
November 2024
Università degli studi di Roma "La Sapienza", Dipartimento di Biologia e Biotecnologie "Charles Darwin", via Borelli 50, 00188 Rome, Italy; National Biodiversity Future Center, 90133 Palermo, Italy.
To protect native wildlife, more than one hundred rodent eradications have been attempted in the Mediterranean islands by using anticoagulant rodenticides (ARs). Despite their high efficiency, resistance to ARs has been observed in many countries and it is mostly related to missense mutations (SNPs) in the VKORC1 gene. The presence of resistant individuals reduces the efficiency of rodent management, leading to an excessive use of ARs.
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October 2024
Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Pharmazie
August 2024
Laboratory of Clinical Pharmacy, Faculty of Pharmacy, Takasaki University of Health and Welfare; Education Center for Clinical Pharmacy, Faculty of Pharmacy, Takasaki University of Health and Welfare.
Renal function significantly influences the appropriate warfarin dosage. However, studies investigating the impact of genetic factors on warfarin dosage, considering renal function, are limited. This study aimed to assess the role of genetic polymorphisms in , , , , , and in warfarin dosage adjustment considering renal function.
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