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Connection between polymorphisms in HTR2A, TPH2, BDNF, TOMM40 genes and the successful mastering of human-computer interfaces.
Journal of Genetics ( IF 1.4 ) Pub Date : 2019-11-27
Yaroslav A Turovsky 1 , Artem P Gureev , Inna Yu Vitkalova , Vasily N Popov
Affiliation  

The development of human-computer interfaces in different individuals occur with different efficiencies, this is due to the individual characteristics of the genotype determined by the single-nucleotide polymorphism (SNP) of a person. Here, we checked the connection between the success of the acquisition of the brain-computer, eye-tracking, electromyographic, and respiratory interfaces and SNP of the TOMM40, BDNF, HTR2A and TPH2 genes. Here, we show that the T-allele in rs6313 of the HTR2A gene is associated with an increase in the number of correctly submitted commands of the electromyographic and eye-tracking interfaces. This is probably due to the fact that, the T-allele carriers decrease expression of this serotonin receptor. The decreased expression of HTR2A may be a reason for an increase in the number of accurately submitted commands. It was shown that the TT genotype of rs4290270 polymorphism was associated with an increase in the accuracy of work with the myographic interface. In addition, the association of subjective interfaces work time with polymorphisms rs429358 and rs2030324 was noted. Thus, the genotypic characteristics of individuals can be a predictive sign for the degree of success of mastering human-computer interfaces, which can allow to expand the understanding of training the neural mechanisms when working with this class of devices.

中文翻译:

HTR2A,TPH2,BDNF,TOMM40基因多态性与成功掌握人机界面之间的联系。

人机界面在不同个体中的发展以不同的效率发生,这是由于个体的单核苷酸多态性(SNP)决定了基因型的个体特征。在这里,我们检查了成功获取脑计算机,眼动仪,肌电图和呼吸机接口与TOMM40,BDNF,HTR2A和TPH2基因的SNP之间的联系。在这里,我们显示HTR2A基因的rs6313中的T等位基因与肌电图和眼动追踪接口正确提交的命令数量增加有关。这可能是由于以下事实:T等位基因载体降低了该血清素受体的表达。HTR2A表达降低可能是导致准确提交的命令数量增加的原因。结果表明,rs4290270多态性的TT基因型与肌层接口工作准确性的提高有关。此外,还注意到主观界面工作时间与多态性rs429358和rs2030324的关联。因此,个体的基因型特征可以作为掌握人机界面成功程度的一个预测标志,当与此类设备一起工作时,这可以允许扩展对训练神经机制的理解。
更新日期:2019-11-01
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