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:// https://doi.org/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:// https://doi.org/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).