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Genes to predict VO(2max) trainability: a systematic review

BACKGROUND: Cardiorespiratory fitness (VO(2max)) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO(2max) for chronic disease reduction. However, there are large inter-individual differences between ex...

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Autores principales: Williams, Camilla J., Williams, Mark G., Eynon, Nir, Ashton, Kevin J., Little, Jonathan P., Wisloff, Ulrik, Coombes, Jeff S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688475/
https://www.ncbi.nlm.nih.gov/pubmed/29143670
http://dx.doi.org/10.1186/s12864-017-4192-6
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author Williams, Camilla J.
Williams, Mark G.
Eynon, Nir
Ashton, Kevin J.
Little, Jonathan P.
Wisloff, Ulrik
Coombes, Jeff S.
author_facet Williams, Camilla J.
Williams, Mark G.
Eynon, Nir
Ashton, Kevin J.
Little, Jonathan P.
Wisloff, Ulrik
Coombes, Jeff S.
author_sort Williams, Camilla J.
collection PubMed
description BACKGROUND: Cardiorespiratory fitness (VO(2max)) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO(2max) for chronic disease reduction. However, there are large inter-individual differences between exercise training responses. This systematic review is aimed at identifying genetic variants that are associated with VO(2max) trainability. METHODS: Peer-reviewed research papers published up until October 2016 from four databases were examined. Articles were included if they examined genetic variants, incorporated a supervised aerobic exercise intervention; and measured VO(2max)/VO(2peak) pre and post-intervention. RESULTS: Thirty-five articles describing 15 cohorts met the criteria for inclusion. The majority of studies used a cross-sectional retrospective design. Thirty-two studies researched candidate genes, two used Genome-Wide Association Studies (GWAS), and one examined mRNA gene expression data, in addition to a GWAS. Across these studies, 97 genes to predict VO(2max) trainability were identified. Studies found phenotype to be dependent on several of these genotypes/variants, with higher responders to exercise training having more positive response alleles than lower responders (greater gene predictor score). Only 13 genetic variants were reproduced by more than two authors. Several other limitations were noted throughout these studies, including the robustness of significance for identified variants, small sample sizes, limited cohorts focused primarily on Caucasian populations, and minimal baseline data. These factors, along with differences in exercise training programs, diet and other environmental gene expression mediators, likely influence the ideal traits for VO(2max) trainability. CONCLUSION: Ninety-seven genes have been identified as possible predictors of VO(2max) trainability. To verify the strength of these findings and to identify if there are more genetic variants and/or mediators, further tightly-controlled studies that measure a range of biomarkers across ethnicities are required.
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spelling pubmed-56884752017-11-22 Genes to predict VO(2max) trainability: a systematic review Williams, Camilla J. Williams, Mark G. Eynon, Nir Ashton, Kevin J. Little, Jonathan P. Wisloff, Ulrik Coombes, Jeff S. BMC Genomics Review BACKGROUND: Cardiorespiratory fitness (VO(2max)) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO(2max) for chronic disease reduction. However, there are large inter-individual differences between exercise training responses. This systematic review is aimed at identifying genetic variants that are associated with VO(2max) trainability. METHODS: Peer-reviewed research papers published up until October 2016 from four databases were examined. Articles were included if they examined genetic variants, incorporated a supervised aerobic exercise intervention; and measured VO(2max)/VO(2peak) pre and post-intervention. RESULTS: Thirty-five articles describing 15 cohorts met the criteria for inclusion. The majority of studies used a cross-sectional retrospective design. Thirty-two studies researched candidate genes, two used Genome-Wide Association Studies (GWAS), and one examined mRNA gene expression data, in addition to a GWAS. Across these studies, 97 genes to predict VO(2max) trainability were identified. Studies found phenotype to be dependent on several of these genotypes/variants, with higher responders to exercise training having more positive response alleles than lower responders (greater gene predictor score). Only 13 genetic variants were reproduced by more than two authors. Several other limitations were noted throughout these studies, including the robustness of significance for identified variants, small sample sizes, limited cohorts focused primarily on Caucasian populations, and minimal baseline data. These factors, along with differences in exercise training programs, diet and other environmental gene expression mediators, likely influence the ideal traits for VO(2max) trainability. CONCLUSION: Ninety-seven genes have been identified as possible predictors of VO(2max) trainability. To verify the strength of these findings and to identify if there are more genetic variants and/or mediators, further tightly-controlled studies that measure a range of biomarkers across ethnicities are required. BioMed Central 2017-11-14 /pmc/articles/PMC5688475/ /pubmed/29143670 http://dx.doi.org/10.1186/s12864-017-4192-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Williams, Camilla J.
Williams, Mark G.
Eynon, Nir
Ashton, Kevin J.
Little, Jonathan P.
Wisloff, Ulrik
Coombes, Jeff S.
Genes to predict VO(2max) trainability: a systematic review
title Genes to predict VO(2max) trainability: a systematic review
title_full Genes to predict VO(2max) trainability: a systematic review
title_fullStr Genes to predict VO(2max) trainability: a systematic review
title_full_unstemmed Genes to predict VO(2max) trainability: a systematic review
title_short Genes to predict VO(2max) trainability: a systematic review
title_sort genes to predict vo(2max) trainability: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688475/
https://www.ncbi.nlm.nih.gov/pubmed/29143670
http://dx.doi.org/10.1186/s12864-017-4192-6
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