Genetic Impact in Sport: A Bibliometric Update on Wos

Abstract

Genetic impact in sports was became of great importance with the completion of the HGP (Human Genome Project). It is known that genetics has a key role in determining sports-specific phenomena such as strength, speed, endurance skills and injury sensitivity, and that being an athlete is a condition explained by genetic characteristics at a rate of 66%. For this reason, studies such as GWAS (Genome-Wide Associated Study) and Athlome Project Consortium have started to be carried out on sports genomics. Although there are many studies on the relationship between sports and genes in the literature, the deficiencies in the comprehensive evaluation of these studies are remarkable. For this purpose, the study was carried out to bibliometric visualize the articles in the WoS database on the relationship between sports and genes through the VOSviewer program. In the study, 316 articles in the WoS database related to sports and genetics were examined. The data obtained using the VOSviewer 1.6.20 program were analyzed bibliometrically. According to the findings obtained from the study, it was determined that the articles on the relationship between sports and genetics tended to increase. It is thought that the financial support given to research specific to this field may be the main reason for this increase. For this purpose, it was seen that the United States of America was the exemplary country that best summarized this situation. As a result, supporting scientists working in this field and meticulously scanning different academic databases can make serious contributions to the field.

Keywords

• Bibliometrics
• Genetics
• HGP
• Sport
• VOSviewer

Sporda Genetik Etki: WoS Üzerine Bibliyometrik Bir Güncelleme

Abstract

Sporda genetik etki, İGP (İnsan Genom Projesi)’nin tamamlanmasıyla büyük bir öneme sahip olmuştur. Spora özgü kuvvet, sürat, dayanıklılık becerileri ile yaralanma hassasiyeti gibi olguları belirlemede genetiğin anahtar bir role sahip olduğu ve sporcu olabilmenin % 66 oranında genetik özelliklerle açıklanan bir durum olduğu bilinmektedir. Bu sebeple, spor genomiği ile ilgili GWAS (Genome-Wide Associated Study) ve Athlome Project Consortium gibi çalışmalar yapılmaya başlamıştır. Literatürde spor ve gen ilişkisine yönelik birçok çalışma bulunmasına rağmen, bu çalışmaların kapsamlı bir şekilde değerlendirilmesindeki eksiklikler dikkat çekicidir. Bu amaçla, çalışma spor ve gen ilişkisine yönelik WoS veri tabanında bulunan makalelerin VOSviewer programı aracılığıyla bibliyometrik olarak görselleştirilmesi amacıyla yapılmıştır. Çalışmada, spor ve genetik ile ilgili WoS veri tabanında yer alan 316 makale incelenmiştir. VOSviewer 1.6.20 programı kullanılarak elde edilen veriler, bibliyometrik olarak analiz edilmiştir. Çalışmadan elde edilen bulgulara göre, spor ve genetik ilişkisine yönelik yapılan makalelerin artış eğiliminde olduğu tespit edilmiştir. Bu alana özgü araştırmalara verilen mali desteklerin, bu artışın temel sebebi olabileceği düşünülmektedir. Bu amaçla, Amerika Birleşik Devletlerinin bu durumu en iyi özetleyen örnek ülke konumunda yer aldığı görülmüştür. Sonuç olarak, bu alanda çalışan bilim insanlarının desteklenmesi ve daha farklı akademik veri tabanlarının titizlikle taranması alana ciddi katkılar sağlayabilir.

Keywords

• Bibliyometri
• Genetik
• İGP
• Spor
• VOSviewer

References

1. Ahmetov, I. I., & Fedotovskaya, O. N. (2015). Chapher Six-Current Progress In Sports Genomics. Advances in Clinical Che-mistry, 70, 247-314. https://doi.org/10.1016/bs.acc.2015.03.003
2. Ahmetov, I. I., & Fedotovskaya, O. N. (2012). Sports Genomics: Current State of Knowledge and Future Directions. Cellular and Molecular Exercise Physiology, 1(1), 1-24. https://doi.org/10.7457/cmep.v1i1.e1
3. Al-Khelaifi, F., Yousri, N. A., Diboun, I., Semenova, E. A., Kostryukova, E. S., Kulemin, N. A., . . . & Andryushchenko, L. B. (2020). Genome-Wide Association Study Reveals A Novel Association Between MYBPC3 Gene Polymorphism, Endurance Athlete Status, Aerobic Capacity and Steroid Metabolism. Front Genet., 11, 1-11. https://doi.org/10.3389/fgene.2020.00595
4. Anastasiou, K., Morris, M., Akam, L., & Mastana, S. (2024). The Genetic Profile of Combat Sport Athletes: A Systematic Review of Physiological, Psychological and Injury Risk Determinants. Int. J. Environ. Res. Public Health, 21(8), 2-19. https://doi.org/10.3390/ijerph21081019
5. Balberova, O. V., Shnayder, N. A., Bykov, E. V., Zakaryukin, Y. E., Petrova, M. M., Soloveva, I. A., . . . & Chumakova, G. A. (2023). Association of the ACTN3 Gene's Single-Nucleotide Variant rs1815739 (R577X) with Sports Qualification and Competitive Distance in Caucasian Athletes of the Southern Urals. Genes (Basel), 14(8), 2-12. https://doi.org/10.3390/genes14081512
6. Başaran, Y. K. (2017). Sosyal Bilimlerde Örnekleme Kuramı. Akademik Sosyal Araştırmalar Dergisi, 5(47), 480-495. https://doi.org/10.16992/ASOS.12368
7. Bıçakçı, B., Cięszczyk, P., & Humińska-Lisowska, K. (2024). Genetic Determinants of Endurance: A Narrative Review on Elite Athlete Status and Performance. Int J Mol Sci., 25(23), 2-40. https://doi.org/10.3390/ijms252313041
8. Bojarczuk, A. (2024). Ethical Aspects of Human Genome Research in Sports-A Narrative Review. Genes (Basel), 15(9), 2-20. https://doi.org/10.3390/genes15091216

9. Bray, M. S., Hagberg, J. M., Pérusse, L., Rankinen, T., Roth, S. M., Wolfarth, B., & Bouchard, C. (2009). The Human Gene Map for Performance and Health-Related Fitness Phenotypes: the 2006-2007 Update. Med Sci Sports Exerc., 41(1), 35-73. https://doi.org/10.1249/mss.0b013e3181844179
10. Brazier, J., Antrobus, M., Stebbings, G. K., Day, S. H., Heffernan, S. M., Cross, M. J., & Williams, A. G. (2019). Tendon and Liga-ment Injuries in Elite Rugby: The Potential Genetic Influence. Sports (Basel), 7(6), 2-27. https://doi.org/10.3390/sports7060138
11. Ebert, J. R., Magi , A., Unt, E., Prans, E., Wood , D. J., & Koks, S. (2023). Genome-Wide Association Study Identifying Variants Related to Performance and Injury in High-Performance Athletes. Exp Biol Med (Maywood), 248(20), 1799–1805. https://doi.org/10.1177/15353702231198068
12. Ginevičienė, V., Utkus, A., Pranckevičienė, E., Semenova, E. A., Hall, E. C., & Ahmetov, I. I. (2022). Perspectives in Sports Geno-mics. Biomedicines, 10(2), 2-16. https://doi.org/10.3390/biomedicines10020298
13. Griswold, A. J., Correa, D., Kaplan, L. D., & Best, T. M. (2021). Using Genomic Techniques In Sports and Exercise Science: Cur-rent Status and Future Opportunities. Curr Sports Med Rep., 20(11), 617-623. https://doi.org/10.1249/JSR.0000000000000908
14. Guilherme, J. L., Semenova, E. A., Kikuchi, N., Homma, H., Kozuma, A., Saito, M., . . . & Matsumoto, S. (2024). Identification of Genomic Predictors of Muscle Fiber Size. Cells, 13(14), 2-13. https://doi.org/10.3390/cells13141212
15. Hagberg, J. M., Rankinen, T., Loos, R. J., Pérusse, L., Roth, S. M., Wolfarth, B., & Bouchard, C. (2011). Advances in Exercise, Fitness, and Performance Genomics in 2010 (Medicine and Science in Sports and Exercise). Med Sci Sports Exerc., 43(5), 743–752. https://doi.org/10.1249/MSS.0b013e3182155d21
16. Ito, S., Takuwa, H., Kakehi, S., Someya, Y., Kaga, H., Kumahashi, N., . . . & Yamamoto, S. (2024). A Genome-Wide Association Study Identifies A Locus Associated with Knee Extension Strength in Older Japanese Individuals. Commun Biol., 7, 1-9. https://doi.org/10.1038/s42003-024-06108-6
17. Mezquita, B., Alfonso‐Arias, C., Martínez‐Jaimez, P., & Borrego, Á. (2024). The Use of Bibliometrics in Nursing Science: Topics, Data Sources and Contributions to Research and Practice. Nurs Open., 11(9), 1-18. https://doi.org/10.1002/nop2.70036
18. National Human Genome Research Institute. (2024). 31.12.2024 tarihinde, www.genome.gov/genetics-glossary/Genome-Wide-Association-Studies-GWAS, adresinde alındı.
19. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . & Tetzlaff, J. M. (2021). The PRIS-MA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ, 372 n71, 1-8. https://doi.org/10.1136/bmj.n71
20. Pennington Biomedical Research Center. (2025). 07.01.2025 tarihinde, https://www.pbrc.edu/about/ adresinden alındı.
21. Pitsiladis, Y. P., Tanaka, M., Eynon, N., Bouchard, C., North, K. N., Williams, A. G., . . . & Britton, S. L. (2015). Athlome Project Consortium: A Concerted Effort to Discover Genomic and Other “Omic” Markers of Athletic Performance. Physiol Geno-mics, 48(3), 183–190. https://doi.org/10.1152/physiolgenomics.00105.2015
22. Roth, S. M., Rankinen, T., Hagberg, J. M., Loos, R. J., Pérusse , L., Sarzynski, M. A., . . . & Bouchard, C. (2012). Advances in Exercise, Fitness, and Performance Genomics in 2011. Med Sci Sports Exerc., 44(5), 809–817. https://doi.org/10.1249/MSS.0b013e31824f28b6
23. Semenova, E. A., Hall, E. C., & Ahmetov, I. I. (2023). Genes and Athletic Performance: The 2023 Update. Genes (Basel), 14(6), 2-32. https://doi.org/10.3390/genes14061235
24. Semenova, E. A., Zempo, H., Miyamoto-Mikami, E., Kumagai, H., Larin, A. K., Sultanov, R. I., . . . & Zhelankin, A. V. (2022). Genome-Wide Association Study Identifies CDKN1A As A Novel Locus Associated with Muscle Fiber Composition. Cells, 11(23), 2-14. https://doi.org/10.3390/cells11233910
25. Tanisawa, K., Wang, G., Seto, J., Verdouka, I., Twycross-Lewis, R., Karanikolou, A., . . . & Dohi, M. (2020). Sport and Exercise Genomics: the FIMS 2019 Consensus Statement Update. Br J Sports Med., 54(16), 969–975. https://doi.org/10.1136/bjsports-2019-101532
26. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, A Computer Program for Bibliometric Mapping. Scientomet-rics, 84, 523-538. https://doi.org/10.1007/s11192-009-0146-3
27. Varillas-Delgado, D., Del Coso, J., Gutiérrez-Hellín, J., Aguilar-Navarro, M., Muñoz, A., Maestro, A., & Morencos, E. (2022). Gene-tics and Sports Performance: The Present and Future in The Identification of Talent for Sports Based on DNA Testing. Eur J Appl Physiol., 122(8), 1811–1830. https://doi.org/10.1007/s00421-022-04945-z