Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China

BMC Genetics

Research Article

Xugang Shi¹  Li Wang¹  Longli Kang¹  Tianbo Jin²  Tian Feng³  Huijuan Wang⁴ 

[1] Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, 712082, Xianyang, China;Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, #6 East Wenhui Road, 712082, Xianyang, Shaanxi, China;Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, 712082, Xianyang, China;Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, #6 East Wenhui Road, 712082, Xianyang, Shaanxi, China;National Engineering Research Center for Miniaturized Detection Systems, 710069, Xi’an, China;School of Life Sciences, Northwest University, 710069, Xi’an, Shaanxi, China;National Engineering Research Center for Miniaturized Detection Systems, 710069, Xi’an, China;National Engineering Research Center for Miniaturized Detection Systems, 710069, Xi’an, China;School of Life Sciences, Northwest University, 710069, Xi’an, Shaanxi, China;

关键词: Pharmacogenomics;    Genetic polymorphisms;    Mongol;    VIP variant;   

DOI  :  10.1186/s12863-016-0379-0

 received in 2015-07-23, accepted in 2016-05-22,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundWithin a population, the differences of pharmacogenomic variant frequencies may produce diversities in drug efficacy, safety, and the risk associated with adverse drug reactions. With the development of pharmacogenomics, widespread genetic research on drug metabolism has been conducted on major populations, but less is known about minorities.ResultsIn this study, we recruited 100 unrelated, healthy Mongol adults from Xinjiang and genotyped 85 VIP variants from the PharmGKB database. We compared our data with eleven populations listed in 1000 genomes project and HapMap database. We used χ2 tests to identify significantly different loci between these populations. We downloaded SNP allele frequencies from the ALlele FREquency Database to observe the global genetic variation distribution for these specific loci. And then we used Structure software to perform the genetic structure analysis of 12 populations.ConclusionsOur results demonstrated that different polymorphic allele frequencies exist between different nationalities,and indicated Mongol is most similar to Chinese populations, followed by JPT. This information on the Mongol population complements the existing pharmacogenomic data and provides a theoretical basis for screening and therapy in the different ethnic groups within Xinjiang.

【 授权许可】

CC BY   
© The Author(s). 2016