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

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

Author information

1
Institute of Coaching and Performance, School of Sport & Wellbeing, University of Central Lancashire, Preston, United Kingdom.
2
Exercise and Nutritional Genomics Research Centre, DNAFit Ltd, London, United Kingdom.
3
Suraci Consultancy, Portsmouth, United Kingdom.

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.

PMID:
30485313
PMCID:
PMC6261586
DOI:
10.1371/journal.pone.0207597
[Indexed for MEDLINE]
Free PMC Article

Conflict of interest statement

We have read the journal's policy and the authors of this manuscript have the following competing interests: Craig Pickering is an employee of DNAFit Ltd, a genetic testing company. Bruce Suraci is owner and founder of Suraci Consultancy, a football coaching consultancy service, and is a contractor to DNAFit Ltd. The genetic testing in this study was carried out by DNAFit Ltd, utilizing a commercially available product. Both CP and BS state that these competing interests do not alter their adherence to PLOS ONE policies on sharing data and materials.

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