Biology of Sport
pISSN 0860-021X    eISSN 2083-1862
Archival Issues
Volume 34, 2017
Volume 33, 2016
Volume 32, 2015
Volume 31, 2014
Volume 30, 2013
Volume 29, 2012
Volume 28, 2011
Volume 27, 2010
Volume 26, 2009
Volume 25, 2008
Volume 24, 2007
Volume 23, 2006
Volume 22, 2005
Volume 21, 2004
Volume 20, 2003
Archival Issues 1984-1998
Information for Authors
Special Information
Journal Abstract
A genetic-based algorithm for personalized resistance-training
Nicholas Jones, John Kiely , Bruce Suraci , Dave Collins , David de Lorenzo , Craig Pickering , Keith Grimaldi
Biol Sport 2016; 33(2):117-126
ICID: 1198210
Article type: Original article
IC™ Value: 10.00
Abstract provided by Publisher
Association studies have identified dozens of genetic variants linked to training responses and sport-related traits. However, no intervention studies utilising the idea of personalised training based on athlete's genetic profile have been conducted. Here we propose an algorithm that allows achieving greater results in response to high- or low-intensity resistance training programs by predicting athlete’s potential for the development of power and endurance qualities with the panel of 15 performance-associated gene polymorphisms. To develop and validate such an algorithm we performed two studies in independent cohorts of male athletes (study 1: athletes from different sports (n=28); study 2: soccer players (n=39)). In both studies athletes completed an eight-week high- or low-intensity resistance training program, which either matched or mismatched their individual genotype. Two variables of explosive power and aerobic fitness, as measured by the countermovement jump (CMJ) and aerobic 3-min cycle test (Aero3) were assessed pre and post 8 weeks of resistance training. In study 1, the athletes from the matched groups (i.e. high-intensity trained with power genotype or low-intensity trained with endurance genotype) significantly increased results in CMJ (P=0.0005) and Aero3 (P=0.0004). Whereas, athletes from the mismatched group (i.e. high-intensity trained with endurance genotype or low-intensity trained with power genotype) demonstrated only non-significant CMJ and Aero3 (P=0.0134 improvements (P=0.175) ). In study 2, soccer players from the matched group also demonstrated significantly greater (P<0.0001) performance changes in both tests compared to the mismatched group. Among non- or low responders of both studies, 82% of athletes (both for CMJ and Aero3) were from the mismatched group, while high responders were predominantly from the cohort whose training was matched according to genotype (83% and 86% for CMJ and Aero3, respectively; P < 0.0001). Our results indicate that matching the individual’s genotype with the appropriate training modality leads to more effective resistance training. The developed algorithm may be used to guide individualised resistance-training interventions.

ICID 1198210

DOI 10.5604/20831862.1198210

Related articles
  • in IndexCopernicus™
         DNA [0 related records]
         Polymorphisms [0 related records]
         Genotype [1 related records]
         personalized training [0 related records]
         power [3 related records]
         endurance [9 related records]


    Copyright © Biology of Sport  2019
    Page created by Index Copernicus Ltd. All Rights reserved.