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A genetic-based algorithm for personalized resistance training.

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  • 1DNA Sports Performance Ltd, Manchester, UK.

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Summary
This summary is machine-generated.

Personalized resistance training programs based on an athlete's genetic profile significantly enhance power and endurance. Matching training intensity to genetic predispositions optimizes athletic performance improvements.

Keywords:
DNAEnduranceGenotypePersonalized trainingPolymorphismPower

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Area of Science:

  • Sports Science
  • Genetics
  • Exercise Physiology

Background:

  • Numerous genetic variants are associated with athletic performance and training responses.
  • Personalized training interventions based on genetic profiles remain largely unexplored in empirical studies.

Purpose of the Study:

  • To develop and validate an algorithm predicting athlete potential for power and endurance development.
  • To investigate the efficacy of genotype-matched resistance training programs.

Main Methods:

  • Two independent studies involving male athletes (n=28 and n=39) were conducted.
  • Athletes underwent an 8-week high- or low-intensity resistance training program, matched or mismatched to their genotype.
  • Countermovement jump (CMJ) and aerobic 3-min cycle test (Aero3) assessed explosive power and aerobic fitness pre- and post-training.

Main Results:

  • Genotype-matched training groups showed significant improvements in CMJ and Aero3 in both studies.
  • Mismatched training groups exhibited non-significant or less prominent performance gains.
  • 82% of non- or low-responders across both studies were in the mismatched training groups.

Conclusions:

  • Matching an athlete's genotype to specific resistance training modalities enhances training effectiveness.
  • The developed algorithm can guide personalized resistance training interventions for improved athletic outcomes.