A Novel Multilocus Genetic Model Can Predict Muscle Fibers Composition

  • Oleg BorisovEmail author
  • Nikolay Kulemin
  • Ildus Ahmetov
  • Edward Generozov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 663)


Muscle fibers composition is determined by the specific genetic characteristics to a large extent and it is connected with various physical traits of athletes. Establishment of genetic markers for sport prediction is an important task of great scientific and practical importance. We aimed to create a relevant model for prediction of the athlete muscle fibers structure based on a complex analysis of known genetic factors. The model included 14 single nucleotide polymorphisms and was tested for 55 subjects. Based on the performed ROC analysis, the model accuracy measured as area under the receiver operating characteristic curve (AUC) was 81% for professional athletes and 73% for non-athletes. The obtained results demonstrate that the proposed models can be used for sport testing.


Sport testing Muscle fibers composition Genetic models 



This work was supported by the Russian Science Foundation, Grant No. 17-15-01436: “Comprehensive analysis of the contribution of genetic, epigenetic and environmental factors in the individual variability of the composition of human muscle fibers”.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Oleg Borisov
    • 1
    • 2
    Email author
  • Nikolay Kulemin
    • 1
  • Ildus Ahmetov
    • 1
    • 3
  • Edward Generozov
    • 1
  1. 1.Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological AgencyMoscowRussia
  2. 2.Moscow Institute of Physics and TechnologyDolgoprudnyRussia
  3. 3.Kazan State Medical UniversityKazanRussia

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