Sergey S Nakhodkin, Nikolay A Barashkov, Anastasiya V Kazantseva, Vera G Pshennikova, Alena A Nikanorova, Elza K Khusnutdinova, Sardana A Fedorova
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引用次数: 0
Abstract
The arginine vasopressin receptor gene (AVPR1A) is one of the genes affecting mental processes. The aim of this study was to search for associations of microsatellite locus RS1, which is related to the AVPR1A expression level, with the level of hormones of the anterior pituitary gland and personality traits. The study sample included Yakut men aged 18-26 years (n = 121). The analysis of RS1 locus was carried out using the PCR method and sequencing of the primary nucleotide sequence. Serum hormonal levels of thyroid-stimulating hormone (TSH), follicle-stimulating hormone (FSH), luteinizing hormone (LH) and prolactin were determined by the time-resolved fluorescence immunoassay (DELFIA), plasma adrenocorticotropic hormone (ACTH) levels were determined by enzyme-linked immunosorbent assay (ELISA). In the Yakut population "short" (S) alleles of the AVPR1A RS1 locus containing ≤ 10 repeats (63%) and the corresponding SS genotypes (44.6%) were more frequent, while individuals with "long" (LL) and "heterozygous" (SL) genotypes accounted for 18.2 and 37.2%, respectively. The range of concentrations of ACTH and TSH in the group of SS genotype carriers was significantly lower than that observed in the group of LL genotype carriers (p = 0.042 and p = 0.048, respectively); the LH level was significantly higher (p = 0.029). The trend towards higher neuroticism in SS genotype carriers compared to the individuals with LL genotypes (p = 0.05) is revealed. The results obtained indicate the modulating effect of genetic variants of the AVPR1A gene on the level of anterior pituitary hormones, which could slightly affect the level of neuroticism in humans.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
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