Associations of the ANKK1/DRD2 gene polymorphism with morphofunctional and psychological characteristics in Russian and Transnistrian femalesтезисы доклада
Дата последнего поиска статьи во внешних источниках: 1 февраля 2021 г.
Аннотация:The DRD2 gene is one of the most popular neurotransmitter system genes among researchers, which is often considered in connection with the human mental health. Recently, the polymorphism of this gene has also been studied in association with physique. The purpose of this study was to investigate the morphological features of the physique of females in Russia and Transnistria in connection with rs1800497 polymorphism of the ANKK1/DRD2 gene. A total of 307 female volunteers aged 16 to 29 years were observed. Over 20 different morphological and functional indicators were measured including bioimpedance body composition analysis, while the level of stress tolerance was analyzed using the Fetiskin test for perceptual stress tolerance. Molecular genetic analysis was carried out for determination of rs1800497 genotypes followed by performing a multi-stage statistical analysis of anthropogenetic data with the software Statistica 10.0. Participants were informed about the aims of this study and provided informed consent. The research of the alleles' distribution in the examined youth sample showed the predominance of the C allele over the T allele (0.774 and 0.226, respectively) which is consistent with data from other researchers obtained from samples of Russian residents. Significant differences (p<0.05) were revealed for obesity-related morphological traits: females in the subgroup CC genotype carriers have increased body fat mass, higher Body mass index values with reduced metabolic rate and low phase angle values (indirect indicator of the level of physical activity). Homozygotes CC also demonstrated a higher heart rate and reduced stress resistance according to the Fetiskin test. The revealed statistically significant associations of the ANKK1/DRD2 polymorphism with morphofunctional indicators can be used in applied aspects, for example, in predictive personified medicine. Funding: the reported study was funded by RFBR according to the research project № 18-09-00290.