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Subject
News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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ИССЛЕДОВАНИЕ АССОЦИАЦИИ ГЕНЕТИЧЕСКИХ ВАРИАНТОВ С РАЗВИТИЕМ МУЗЫКАЛЬНЫХ СПОСОБНОСТЕЙ ЧЕЛОВЕКА

ВАВИЛОВСКИЙ ЖУРНАЛ ГЕНЕТИКИ И СЕЛЕКЦИИ, Федеральный исследовательский центр Институт цитологии и генетики Сибирского отделения Российской академии наук» (ИЦиГ СО РАН) (Новосибирск). 2025. Vol. 30. No. 3. P. 470–481.
Kazantseva A. V., A.V. Toropova, Khusnutdinova E. K., Malykh S. B.

The development of musical abilities, including absolute pitch, musical memory, rhythm sense, and musicality, at a high degree is determined by a hereditary component (up to 68 %). The studies implementing a genome-wide linkage and association approach to musical aptitude have revealed more than 100 genetic loci. This spectrum is comprised of the genes encoding for transcription factors and those responsible for neurogenesis and synaptic plasticity, genes fixed as a result of positive selection of musicality, and those related to inner ear formation. Since no studies linking musical aptitude with genes have been previously conducted in Russia, the present study aimed at replicating the association of 17 previously identified genetic variants with developing musical abilities in Russians. Genotyping of SNPs in the GATA2, PCDH7, UNC5C, ASAP1, SBSPON, DCBLD2, KALRN, VLDLR, OTOF, GRIN2B, FoxP1, FoxP2, BDNF, EGR1, and SNCA genes was performed using competitive allele-specific PCR in a sample of students who underwent rigorous contest selection at admission to the conservatory and in the corresponding control group. A series of logistic regression analyses were used both to evaluate the main effect of SNP and to identify the best prognostic model based on various loci. The mathematical model obtained by including only statistically significant SNPs consisted of GATA2 rs9854612, SNCA rs356168, rs3910105, ASAP1 rs3057, and VLDLR rs1454626 (р = 0.0018, pseudo r2 = 0.188, AUC = 0.791). The addition of all examined SNPs as predictors enabled the construction of a statistically significant model with a higher predictive ability (р = 0.012, pseudo r2 = 0.380, AUC = 0.889). The results revealed indicate a potential cumulative gene effect, confirming the involvement of dopaminergic and GABAergic neurotransmission, the reelin pathway and the role of alpha-synuclein in musicality formation.

Research target: Psychology Biology
Language: English
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Keywords: музыкаматематическая модельmusicлогистическая регрессиякогнитивные способности mathematical modeldopaminepanel logistic regressionдофамин cognitive abilities
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