Literature DB >> 23954225

Genetic polymorphisms of pharmacogenomic VIP variants in the Kyrgyz population from northwest China.

Zulfiya Yunus1, Lijun Liu, Hong Wang, Le Zhang, Xiaolan Li, Tingting Geng, Longli Kang, Tianbo Jin, Chao Chen.   

Abstract

Pharmacogenomic variant information is well known for major human populations; however, this information is less commonly studied in minorities. In the present study, we genotyped 85 very important pharmacogenetic (VIP) variants (selected from the PharmGKB database) in the Kyrgyz population and compared our data with other four major human populations including Han Chinese in Beijing, China (CHB), the Japanese in Tokyo, Japan (JPT), a northern and western Europe population (CEU), and the Yoruba in Ibadan, Nigeria (YRI). There were 13, 12 and 16 of the selected VIP variant genotype frequencies in the Kyrgyz which differed from those of the CHB, JPT and CEU, respectively (p<0.005). In the YRI, there were 32 different variants, compared to the Kyrgyz (p<0.005). Genotype frequencies of ADH1B, AHR, CYP3A5, PTGS2, VDR, and VKORC1 in the Kyrgyz differed widely from those in the four populations. Haplotype analyses also showed differences among the Kyrgyz and the other four populations. Our results complement the information provided by the database of pharmacogenomics on Kyrgyz. We provide a theoretical basis for safer drug administration and individualized treatment plans for the Kyrgyz. We also provide a template for the study of pharmacogenomics in various ethnic minority groups in China.
© 2013 Elsevier B.V. All rights reserved.

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Keywords:  CEU; CHB; Genetic polymorphism; HWE; Han Chinese in Beijing China; Haplotype; Hardy–Weinberg Equilibrium; JPT; Kyrgyz; LD; Pharmacogenomics; SNP; VIP variants; YRI; a northern and western Europe population; linkage disequilibrium; single nucleotide polymorphism; the Japanese in Tokyo Japan; the Yoruba in Ibadan Nigeria; very important pharmacogenetic variants

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Year:  2013        PMID: 23954225     DOI: 10.1016/j.gene.2013.07.078

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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