Minsk, Belarus
Pinsk, Belarus
Pinsk, Belarus
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VAC 1.2.2 Математическое моделирование, численные методы и комплексы программ
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VAC 1.5.2 Биофизика
VAC 1.5.5 Физиология человека и животных
VAC 1.5.8 Математическая биология, биоинформатика
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UDK 575.162 Соотношение ген - признак
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OKSO 02.00.00 Компьютерные и информационные науки
OKSO 06.00.00 Биологические науки
OKSO 09.00.00 Информатика и вычислительная техника
OKSO 32.00.00 Науки о здоровье и профилактическая медицина
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BBK 1 ОБЩЕЕ И МЕЖДИСЦИПЛИНАРНОЕ ЗНАНИЕ
BBK 22 Физико-математические науки
BBK 28 Биологические науки
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BBK 58 Прикладные отрасли медицины
BBK 73 Научно-информационная деятельность
BBK 74 Образование. Педагогическая наука
BBK 75 Физическая культура и спорт
TBK 5 ПРИКЛАДНЫЕ НАУКИ. ТЕХНИКА. МЕДИЦИНА
TBK 7 ОБЩЕСТВЕННЫЕ НАУКИ. ЭКОНОМИКА. ПРАВО.
BISAC SEL SELF-HELP
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Based on the assumption that some gene variants in combination may show cumulative or epistatic effects, it is relevant to explore the combination of genotypes of independently acting and interacting polymorphic genes. The article describes the application of nonparametric method of multifactor dimensionality reduction (MDR) on a cohort of highly qualified athletes in order to determine the most preferable combination of genotypes of genes of neurotransmitter systems that determine the functioning of the higher nervous system. Based on the obtained data on the patterns of intergenic interactions, we performed cluster analysis showing the type of interaction between polymorphic loci of neurotransmitter system genes. In addition, we obtained models of the most favorable combination of genotypes for cyclic and acyclic sports. The MDR method in our researches was also applied to identify the unfavorable combination of genotypes in the development of such pathologies as nephropathy and disorder of bone tissue remodeling in young athletes.
genetics, genetic research, data analysis, bioinformatics, statistics, intergenic interactions.
1. Kovalevich A., Padutov V., Baranov O. Genome-wide sequencing is a new stage of genetic research. // Nauka i innovacii [Science and innovation], 2015, 5(147) (in Russ.). EDN: https://elibrary.ru/tzfqqx
2. Motsinger A. Multifactor dimensionality reduction: an analysis strategy for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics studies. // Human Genomics, 2007, 2(5), pp.318-328. DOI: https://doi.org/10.1186/1479-7364-2-5-318
3. Ponomarenko I.V. Using the method of Multifactor Dimensionality Reduction (MDR) and its modifications for the analysis of gene-gene and gene-environment interactions in genetic and epidemiological studies (review) / Nauchnye rezul'taty biomedicinskih issledovanij [Scientific results of biomedical research], 2019, 5(1), pp. 4-21(in Russ.). EDN: https://elibrary.ru/umbgkq
4. Multifactor Dimensionality Reduction [Electronic resource] 24.12.2014. – URL: https://sourceforge.net/projects/mdr/ – Access date: 05.11.2024.
5. Shapialevich N.V., Marinich V.V., Melnov S.B. Genetic markers of neurotransmitters and psychophysiological features of qualified athletes of various sports // Applied Sports Science, 2024, 1 (19), pp. 47-54 (in Russ.). URL: https://rep.polessu.by/handle/123456789/31678
6. Zhur N.V., Lebed T.L., Kruchinski N.G. Application of analysis of genetic studies for the diagnosis and prevention of nephrological complications in patients with type 2 diabetes mellitus // Zdorov'e dlya vsekh: nauchno-prakticheskij zhurnal [Health for all: a scientific and practical journal], 2023, (1), pp. 28-36 (in Russ.). URL: https://rep.polessu.by/handle/123456789/29037
7. Zhur N.V., Evdolyuk S.V., Lebed T.L., Marinich T.V., Kruchinski N.G. Molecular genetic methods in diagnosing and predicting individual predisposition to bone mineral density disorders // Vestnik Polesskogo gosudarstvennogo universiteta. Seriya prirodovedcheskih nauk [Bulletin of the Polessky State University. Natural Sciences Series], 2024, (1), pp. 66-72 (in Russ.). URL: https://rep.polessu.by/handle/123456789/31760
8. Ivaniukovich U., Nikalayenka K., Melnov S., Zhur N., Lebed T. Influence of classification of outcomes on the result of simulation and forecasting by the MDR method // Sakharov Readings 2023: Environmental Problems of the XXI century : proceedings of the 23rd International Scientific Conference, Minsk, Republic of Belarus, May 18-19, 2023/ A.D. Sakharov International State Ecological Institute of the Belarusian State University, Minsk : ISEI named after A.D. Sakharov BSU, 2023, 2, pp. 301-305 (in Russ.). URL: https://rep.polessu.by/handle/123456789/28924
