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The genetic variant rs12720208 of gene FGF20 in the formation of spatial skillsстатья
- Авторы: Takhirova Z.R., Kazantseva A.V., Enikeeva R.F., Davydova Yu D., Dzhaubermezov M.A., Lobaskova M.M., Khusnutdinova E.K., Malykh S.B.
- Журнал: Behavior Genetics
- Том: 52
- Номер: 6
- Год издания: 2022
- Издательство: Springer Nature
- Местоположение издательства: Switzerland
- Первая страница: 393
- DOI: 10.1007/s10519-022-10119-6
- Аннотация: Spatial thinking is an effective predictor of individuals’ academic success in advanced scientific areas – STEM disciplines (Science, Technology, Engineering, and Mathematics). Various genetic factors contribute to 69 % of individual differences in spatial abilities (Rimfeld et al., 2017; Takhirova et al., 2021). We searched for the association of the polymorphic variant rs12720208 in the gene FGF20 with the development of the spatial abilities of 312 young people different sex, aged 17-34, studying in higher educational institutions with using KASP technology (LGC, Biosearch Technologies). The product of gene FGF20 plays critical roles in the growth, survival of neurons in early development and also in the biology of adult neurons. FGF20 is specifically expressed within the brain and particularly within neurons of the substantia nigra (Ohmachi et al., 2000) and cerebellum (Jeffers et al., 2001).The research of the association was carried out in such correlates as: sex, professional sphere and psychological correlates (4 tests for space: mechanical reasoning; paper folding; pattern assembly; share rotation, academic performance, test of Raven). The statistical evaluation revealed deviations in 16 respondents on data of testing in the distance of Mahalanobis (>95%) and therefore they were removed from the study (program R). So that the group consist of 296 people (60 men, 236 women). For evaluate the results of genotyping, we using the software PLINK 1.9. After analyzed, we not found statistically significant differences in comparing individuals at all correlates (p>0.05). Perhaps this is effect explained by size of cohort and her features.
- Добавил в систему: Малых Сергей Борисович