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Informative genetic markers of predisposition to the formation of high-level intelligence

https://doi.org/10.29235/1561-8323-2024-68-4-317-324

Abstract

This study is devoted to investigating the association of intelligence with a person’s genotype. Comparative psychological and molecular genetic testing was carried out on a representative sample of Belarusian population representatives numbering 746 people. Intelligence quotient (IQ) was determined using D. Wechsler’s test. It was established that the distribution of general intelligence values among the Belarusian population representatives was shifted towards higher results. The persons were divided into low and high IQ groups using the quartile method. The association of intelligence level with genotype was determined using a panel of genetic markers consisting of 18 gene polymorphic variants of neurogenesis, synaptic plasticity and neurotransmitter systems. Molecular genetic testing was carried out using real-time PCR. To automate a search for informative gene combinations associated with cognitive abilities, we used a special computer program that we had previously developed, taking into account the gene interaction effects. 15 most informative combinations of polymorphic gene variants associated with a high intelligence level were identified. These gene variants can be used to assess a genetic predisposition to the formation of high-level intelligence, which will allow assessing the abilities of candidates for extreme activities.

About the Authors

I. B. Mosse
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Belarus

Mosse Irma B. – D. Sc. (Biology), Chief Researcher, Professor

27, Akademicheskaya Str., 220072, Minsk



T. V. Dokukina
Republican Scientific and Practical Center for Mental Health
Belarus

Dokukina Tatyana V. – D. Sc. (Biology), Professor, Deputy Director

152, Dolginovsky tract, 220053, Minsk



N. G. Sedlyar
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Belarus

Sedlyar Nikita G. – Ph. D. (Biology), Senior Researcher

27, Akademicheskaya Str., 220072, Minsk



K. A. Mosse
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Belarus

Mosse Konstantin A. – Ph. D. (Biology), Leading Researcher

27, Akademicheskaya Str., 220072, Minsk



E. P. Yanchuk
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Belarus

Yanchuk Evgeniya P. – Researcher

27, Akademicheskaya Str., 220072, Minsk



O. P. Glebko
Republican Scientific and Practical Center for Mental Health
Belarus

Glebko Olga P. – Researcher

152, Dolginovsky tract, 220053, Minsk



A. Vankovich
Republican Scientific and Practical Center for Mental Health
Belarus

Vankovich Anastasiya A. – Researcher

152, Dol ginovsky tract, 220053, Minsk



A. V. Kilchevsky
Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Belarus

Kilchevsky Alexandr V. – Academician, D. Sc. (Biology), Chief Researcher, Professor

27, Akademicheskaya Str., 220072, Minsk



References

1. Merkulov I. P. Cognitive abilities. Moscow, 2005. 182 p. (in Russian).

2. Kholodnaya M. A. Psychology of intelligence: research paradoxes. Saint Petersburg, 2002, 2nd ed. 264 p. (in Russian).

3. Gavrilova E. V., Belova S. S. Verbal abilities: psycholinguistic and differential approach. Voprosy psikholingvistiki [Questions of Psycholinguistics], 2012, no. 3, pp. 98–105 (in Russian).

4. Palmer B. R., Gignac G., Manocha R., Stough C. A psychometric evaluation of the Mayer–Salovey–Caruso Emotional Intelligence Test Version 2.0. Intelligence, 2005, vol. 33, no. 3, pp. 285–305. https://doi.org/10.1016/j.intell.2004.11.003

5. Smith G. A., Stanley G. Clocking g: Relating intelligence and measures of timed performance. Intelligence, 1983, vol. 7, no. 4, pp. 353–368. https://doi.org/10.1016/0160-2896(83)90010-7

6. Vernon P. A. Speed of information processing and general intelligence. Intelligence, 1983, vol. 7, no. 1, pp. 53–70. https://doi.org/10.1016/0160-2896(83)90006-5

7. Ushakov, D. V. Psychology of intelligence and giftedness. Moscow, 2011. 464 p. (in Russian).

8. Stumm S., Plomin R. Using DNA to predict intelligence. Intelligence, 2021, vol. 86, art. 101530. https://doi.org/10.1016/j. intell.2021.101530

9. Uffelmann E., Huang Q. Q., Munung N. S., de Vries J., Okada Yu., Martin A. R., Martin H. C., Lappalainen T., Posthuma D. Genome-wide association studies. Nature Reviews Methods Primers, 2021, vol. 1, art. 59. https://doi.org/10.1038/s43586-021-00061-y

10. Krapohl E., Patel H., Newhouse S., Curtis C. J., von Stumm S., Dale P. S., Zabaneh D., Breen G., O’Reilly P. F., Plomin R. Multi-polygenic score approach to trait prediction. Molecular Psychiatry, 2018, vol. 23, pp. 1368–1374. https://doi. org/10.1038/mp.2017.163

11. Coleman J. R. I., Bryois J., Gaspar H. A., Jansen P. R., Savage J. E., Skene N., Plomin R., Muñoz-Manchado A. B., Linnarsson S., Crawford G., Hjerling-Leffler J., Sullivan P. F., Posthuma D., Breen G. Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals. Molecular Psychiatry, 2019, vol. 24, pp. 182–197. https:// doi.org/10.1038/s41380-018-0040-6

12. Savage J. E., Jansen Ph. R., Stringer S., Watanabe K., Bryois J., de Leeuw C. A., Nagel M. [et al.]. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics, 2018, vol. 50, pp. 912–919. https://doi.org/10.1038/s41588-018-0152-6

13. Mosse I. B., Sedlyar N. G. Development of a method for quantitative assessment of genetic predisposition to the development of polygenic pathologies. Nauka i tekhnologii Sibiri [Science and Technology of Siberia], 2022, no. 4, pp. 28–30 (in Russian).

14. Turley P., Walters R. K., Maghzian O., Okbay A., Lee J. J., Fontana M. A., Nguyen-Viet T. A. [et al.]. Multi-trait analysis of genome-wide association summary statistics using MTAG. Nature Genetics, 2018, vol. 50, pp. 229–237. https:// doi.org/10.1038/s41588-017-0009-4

15. Yanchuk E. P., Mosse I. B., Sedluar N. G., Mosse K. A., Kilchevsky A. V. The most informative polymorphic gene variants associated with human cognitive abilities. Molekulyarnaya i prikladnaya genetika [Molecular and Applied Genetics], 2023, vol. 35, pp. 164–175 (in Russian).


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ISSN 1561-8323 (Print)
ISSN 2524-2431 (Online)