PCR-based Approach for Determining the Genetic Risk Factors of Antipsychotic-Induced Metabolic Disorders

K. Mironov, I. I. Gaponova, V. Korchagin, A. Esman, E. Dunaeva, V. A. Zhivotova, V. Dobrodeeva, N. A. Shnayder, N. Neznanov, R. Nasyrova
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Abstract

The antipsychotic-induced metabolic disorders (AIMD) are common side effects during the treatment of schizophrenia. Single nucleotide polymorphisms in the genes associated with AIMD, in particular in the leptin and neuropeptide Y genes were explored. The aim of this study was to develop a real-time PCR technique for SNP allele discrimination and allele frequency estimation in the Russian population. A total of 9 real-time PCR tests for rs7799039, rs1137101, rs8179183, rs16147, rs6837793, rs11100494, rs1414334, rs3813929 and rs518147 SNPs were developed and examined using 106 DNA samples. The revealed allele frequencies did not show any statistically significant differences with ones for the Caucasian population from Ensembl data base. Thus, our results are in accordance with the allele frequencies for the studied populations and allow using published data on the risk alleles for the development of new diagnostics PCR kits for the complex diagnostics of AIMD.
基于pcr的抗精神病药物诱导代谢障碍遗传危险因素测定方法
抗精神病诱导的代谢障碍(AIMD)是精神分裂症治疗中常见的副作用。与AIMD相关的基因,特别是瘦素和神经肽Y基因的单核苷酸多态性被探索。本研究的目的是在俄罗斯人群中建立一种用于SNP等位基因识别和等位基因频率估计的实时PCR技术。利用106份DNA样本,建立rs7799039、rs1137101、rs8179183、rs16147、rs6837793、rs11100494、rs1414334、rs3813929和rss518147的实时PCR检测方法。所揭示的等位基因频率与Ensembl数据库中高加索人群的等位基因频率无统计学差异。因此,我们的结果与研究人群的等位基因频率一致,并允许使用已发表的风险等位基因数据来开发用于AIMD复杂诊断的新诊断PCR试剂盒。
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