The magnitude of Yo-Yo test improvements following an aerobic training intervention are associated with total genotype score

PLoS One. 2018 Nov 28;13(11):e0207597. doi: 10.1371/journal.pone.0207597. eCollection 2018.

Abstract

Recent research has demonstrated that there is considerable inter-individual variation in the response to aerobic training, and that this variation is partially mediated by genetic factors. As such, we aimed to investigate if a genetic based algorithm successfully predicted the magnitude of improvements following eight-weeks of aerobic training in youth soccer players. A genetic test was utilised to examine five single nucleotide polymorphisms (VEGF rs2010963, ADRB2 rs1042713 and rs1042714, CRP rs1205 & PPARGC1A rs8192678), whose occurrence is believed to impact aerobic training adaptations. 42 male soccer players (17.0 ± 1y, 176 ± 6 cm, 69 ± 9 kg) were tested and stratified into three different Total Genotype Score groups; "low", "medium"and "high", based on the possession of favourable polymorphisms. Subjects underwent two Yo-Yo tests separated by eight-weeks of sports-specific aerobic training. Overall, there were no significant differences between the genotype groups in pre-training Yo-Yo performance, but evident between-group response differentials emerged in post-training Yo-Yo test performance. Subjects in the "high" group saw much larger improvements (58%) than those in the 'medium" (35%) and "low" (7%) groups. There were significant (p<0.05) differences between the groups in the magnitude of improvement, with athletes in the "high" and medium group having larger improvements than the "low" group (d = 2.59 "high" vs "low"; d = 1.32 "medium" vs "low"). In conclusion, the magnitude of improvements in aerobic fitness following a training intervention were associated with a genetic algorithm comprised of five single nucleotide polymorphisms. This information could lead to the development of more individualised aerobic training designs, targeting optimal fitness adaptations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Physiological / genetics
  • Adaptation, Physiological / physiology
  • Adolescent
  • Athletic Performance / physiology
  • C-Reactive Protein / genetics
  • Exercise Test / methods*
  • Genotype
  • Humans
  • Male
  • Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha / genetics
  • Physical Conditioning, Human / physiology*
  • Physical Endurance / physiology*
  • Physical Fitness / physiology*
  • Polymorphism, Single Nucleotide*
  • Receptors, Adrenergic, beta-2 / genetics
  • Soccer / physiology*
  • Vascular Endothelial Growth Factor A / genetics
  • Young Adult

Substances

  • ADRB2 protein, human
  • PPARGC1A protein, human
  • Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha
  • Receptors, Adrenergic, beta-2
  • Vascular Endothelial Growth Factor A
  • C-Reactive Protein

Grants and funding

DNAFit provided support in the form of salaries for authors [CP and BS], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors is articulated in the “author contributions” section.