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Genetic Predisposition Scores Associate with Muscular Strength, Size, and Trainability


Medicine & Science in Sports & Exercise: August 2013 - Volume 45 - Issue 8 - p 1451–1459
doi: 10.1249/MSS.0b013e31828983f7
Clinical Sciences

Introduction The number of studies trying to identify genetic sequence variation related to muscular phenotypes has increased enormously. The aim of this study was to identify the role of a genetic predisposition score (GPS) based on earlier identified gene variants for different muscular endophenotypes to explain the individual differences in muscular fitness characteristics and the response to training in patients with coronary artery disease.

Methods Two hundred and sixty coronary artery disease patients followed a standard ambulatory, 3-month supervised training program for cardiac patients. Maximal knee extension strength (KES) and rectus femoris diameter were measured at baseline and after rehabilitation. Sixty-five single nucleotide polymorphisms (SNP) in 30 genes were selected based on genotype–phenotype association literature. Backward regression analysis revealed subsets of SNP associated with the different phenotypes. GPS were constructed for all sets of SNP by adding up the strength-increasing alleles. General linear models and multiple stepwise regression analysis were used to test the explained variance of the GPS in baseline and strength responses. Receiver operating characteristic curve analyses were performed to discriminate between high- and low-responder status.

Results GPS were significantly associated with the rectus femoris diameter (P < 0.01) and its response (P < 0.0001), the isometric KES (P < 0.05) and its response (P < 0.01), the isokinetic KES at 60°·s−1 (P < 0.05) and 180°·s−1 (P < 0.001) and their responses to training (P < 0.0001), and the isokinetic KES endurance (P < 0.001) and its change after training (P < 0.0001). The GPS was shown as an independent determinant in baseline and response phenotypes with partial explained variance up to 23%. Receiver operating characteristic analysis showed a significant discriminating accuracy of the models, including the GPS for responses to training, with areas under the curve ranging from 0.62 to 0.85.

Conclusion GPS for muscular phenotypes showed to be associated with baseline KES, muscle diameter, and the response to training in cardiac rehabilitation patients.

1Research Group for Cardiovascular and Respiratory Rehabilitation, Department of Rehabilitation Sciences, KU Leuven, Leuven, BELGIUM; 2Physical Activity, Sports and Health Research Group, Department of Biomedical Kinesiology, KU Leuven, Leuven, BELGIUM; 3Department of Cardiovascular Diseases, University Hospital Leuven, Leuven, BELGIUM; and 4Laboratory of Translational Genetics, Vesalius Research Center, Leuven, BELGIUM

Address for correspondence: Luc Vanhees, Ph.D., Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101 B15013001, Leuven, Belgium; E-mail:

Submitted for publication June 2012.

Accepted for publication January 2013.

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© 2013 American College of Sports Medicine