Journal of Biomedical Science (May 2021)
Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study
- Camilla J. Williams,
- Zhixiu Li,
- Nicholas Harvey,
- Rodney A. Lea,
- Brendon J. Gurd,
- Jacob T. Bonafiglia,
- Ioannis Papadimitriou,
- Macsue Jacques,
- Ilaria Croci,
- Dorthe Stensvold,
- Ulrik Wisloff,
- Jenna L. Taylor,
- Trishan Gajanand,
- Emily R. Cox,
- Joyce S. Ramos,
- Robert G. Fassett,
- Jonathan P. Little,
- Monique E. Francois,
- Christopher M. Hearon,
- Satyam Sarma,
- Sylvan L. J. E. Janssen,
- Emeline M. Van Craenenbroeck,
- Paul Beckers,
- Véronique A. Cornelissen,
- Erin J. Howden,
- Shelley E. Keating,
- Xu Yan,
- David J. Bishop,
- Anja Bye,
- Larisa M. Haupt,
- Lyn R. Griffiths,
- Kevin J. Ashton,
- Matthew A. Brown,
- Luciana Torquati,
- Nir Eynon,
- Jeff S. Coombes
Affiliations
- Camilla J. Williams
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Zhixiu Li
- Translational Genomics Group, Institute of Health and Biomedical Innovation
- Nicholas Harvey
- Faculty of Health Sciences and Medicine, Bond University
- Rodney A. Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation
- Brendon J. Gurd
- School of Kinesiology and Health Studies, Queen’s University
- Jacob T. Bonafiglia
- School of Kinesiology and Health Studies, Queen’s University
- Ioannis Papadimitriou
- Institute for Health and Sport (iHeS), Victoria University
- Macsue Jacques
- Institute for Health and Sport (iHeS), Victoria University
- Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Dorthe Stensvold
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology
- Ulrik Wisloff
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Jenna L. Taylor
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Trishan Gajanand
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Emily R. Cox
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Joyce S. Ramos
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Robert G. Fassett
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Jonathan P. Little
- School of Health and Exercise Sciences, University of British Columbia
- Monique E. Francois
- School of Health and Exercise Sciences, University of British Columbia
- Christopher M. Hearon
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center
- Satyam Sarma
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center
- Sylvan L. J. E. Janssen
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center
- Emeline M. Van Craenenbroeck
- Department of Cardiology, Antwerp University Hospital
- Paul Beckers
- Department of Cardiology, Antwerp University Hospital
- Véronique A. Cornelissen
- Department of Rehabilitation Sciences – Research Group for Rehabilitation in Internal Disorders, Catholic University of Leuven
- Erin J. Howden
- Baker Heart and Diabetes Institute
- Shelley E. Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- Xu Yan
- Institute for Health and Sport (iHeS), Victoria University
- David J. Bishop
- Institute for Health and Sport (iHeS), Victoria University
- Anja Bye
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology
- Larisa M. Haupt
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation
- Lyn R. Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation
- Kevin J. Ashton
- Faculty of Health Sciences and Medicine, Bond University
- Matthew A. Brown
- Guy’s and St Thomas’ NHS Foundation Trust and King’s College London
- Luciana Torquati
- Department of Sport and Health Sciences, University of Exeter
- Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University
- Jeff S. Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland
- DOI
- https://doi.org/10.1186/s12929-021-00733-7
- Journal volume & issue
-
Vol. 28,
no. 1
pp. 1 – 15
Abstract
Abstract Background Low cardiorespiratory fitness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods Participant change in objectively measured V̇O2peak from 18 different interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n = 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms (SNPs) significantly associated (P 0.1). Significant correlations were found for beta coefficients of variants in the Predict-HIIT (P < 1 × 10–4) and the validation study (P < × 10–6), indicating that general effects of the loci exist, and that with a higher statistical power, more significant genetic associations may become apparent. Conclusions Ongoing research and validation of current and previous findings is needed to determine if genetics does play a large role in V̇O2peak response variance, and whether genomic predictors for V̇O2peak response trainability can inform evidence-based clinical practice. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), Trial Id: ACTRN12618000501246, Date Registered: 06/04/2018, http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374601&isReview=true .
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