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Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study

Authors :
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
Source :
Journal of Biomedical Science, Vol 28, Iss 1, Pp 1-15 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

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

Details

Language :
English
ISSN :
14230127
Volume :
28
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Biomedical Science
Publication Type :
Academic Journal
Accession number :
edsdoj.15ccb3da5fea46d98ef73b4bc3384417
Document Type :
article
Full Text :
https://doi.org/10.1186/s12929-021-00733-7