Genes to predict VO2max trainability: A systematic review

Camilla J. Williams, Mark G. Williams, Nir Eynon, Kevin J. Ashton, Jonathan P. Little, Ulrik Wisloff, Jeff S. Coombes

Research output: Contribution to journalArticleResearchpeer-review

19 Citations (Scopus)
85 Downloads (Pure)

Abstract

Background: Cardiorespiratory fitness (VO2max) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO2max 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 VO2max 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 VO2max/VO2peak 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 VO2max 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 VO2max trainability. Conclusion: Ninety-seven genes have been identified as possible predictors of VO2max 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.

Original languageEnglish
Article number831
JournalBMC Genomics
Volume18
Issue numberSuppl 8
DOIs
Publication statusPublished - 14 Nov 2017
Event34th FIMS World Sports Medicine Congress - Ljubljana, Slovenia
Duration: 29 Sep 20162 Oct 2016
Conference number: 34th
http://www.fims2016.org/

Fingerprint

Exercise
Genes
Genome-Wide Association Study
Chronic Disease
Gene Expression
Individuality
Sample Size
Biomarkers
Alleles
Genotype
Databases
Guidelines
Diet
Morbidity
Phenotype
Education
Messenger RNA
Mortality
Research
Population

Cite this

Williams, C. J., Williams, M. G., Eynon, N., Ashton, K. J., Little, J. P., Wisloff, U., & Coombes, J. S. (2017). Genes to predict VO2max trainability: A systematic review. BMC Genomics, 18(Suppl 8), [831]. https://doi.org/10.1186/s12864-017-4192-6
Williams, Camilla J. ; Williams, Mark G. ; Eynon, Nir ; Ashton, Kevin J. ; Little, Jonathan P. ; Wisloff, Ulrik ; Coombes, Jeff S. / Genes to predict VO2max trainability : A systematic review. In: BMC Genomics. 2017 ; Vol. 18, No. Suppl 8.
@article{8ed2220b3e5c4a2aa6ca79a7da2740ca,
title = "Genes to predict VO2max trainability: A systematic review",
abstract = "Background: Cardiorespiratory fitness (VO2max) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO2max 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 VO2max 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 VO2max/VO2peak 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 VO2max 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 VO2max trainability. Conclusion: Ninety-seven genes have been identified as possible predictors of VO2max 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.",
author = "Williams, {Camilla J.} and Williams, {Mark G.} and Nir Eynon and Ashton, {Kevin J.} and Little, {Jonathan P.} and Ulrik Wisloff and Coombes, {Jeff S.}",
year = "2017",
month = "11",
day = "14",
doi = "10.1186/s12864-017-4192-6",
language = "English",
volume = "18",
journal = "BMC Genomics",
issn = "1471-2164",
publisher = "BioMed Central",
number = "Suppl 8",

}

Williams, CJ, Williams, MG, Eynon, N, Ashton, KJ, Little, JP, Wisloff, U & Coombes, JS 2017, 'Genes to predict VO2max trainability: A systematic review' BMC Genomics, vol. 18, no. Suppl 8, 831. https://doi.org/10.1186/s12864-017-4192-6

Genes to predict VO2max trainability : A systematic review. / Williams, Camilla J.; Williams, Mark G.; Eynon, Nir; Ashton, Kevin J.; Little, Jonathan P.; Wisloff, Ulrik; Coombes, Jeff S.

In: BMC Genomics, Vol. 18, No. Suppl 8, 831, 14.11.2017.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Genes to predict VO2max trainability

T2 - A systematic review

AU - Williams, Camilla J.

AU - Williams, Mark G.

AU - Eynon, Nir

AU - Ashton, Kevin J.

AU - Little, Jonathan P.

AU - Wisloff, Ulrik

AU - Coombes, Jeff S.

PY - 2017/11/14

Y1 - 2017/11/14

N2 - Background: Cardiorespiratory fitness (VO2max) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO2max 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 VO2max 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 VO2max/VO2peak 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 VO2max 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 VO2max trainability. Conclusion: Ninety-seven genes have been identified as possible predictors of VO2max 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.

AB - Background: Cardiorespiratory fitness (VO2max) is an excellent predictor of chronic disease morbidity and mortality risk. Guidelines recommend individuals undertake exercise training to improve VO2max 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 VO2max 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 VO2max/VO2peak 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 VO2max 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 VO2max trainability. Conclusion: Ninety-seven genes have been identified as possible predictors of VO2max 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.

UR - http://www.scopus.com/inward/record.url?scp=85033789678&partnerID=8YFLogxK

U2 - 10.1186/s12864-017-4192-6

DO - 10.1186/s12864-017-4192-6

M3 - Article

VL - 18

JO - BMC Genomics

JF - BMC Genomics

SN - 1471-2164

IS - Suppl 8

M1 - 831

ER -

Williams CJ, Williams MG, Eynon N, Ashton KJ, Little JP, Wisloff U et al. Genes to predict VO2max trainability: A systematic review. BMC Genomics. 2017 Nov 14;18(Suppl 8). 831. https://doi.org/10.1186/s12864-017-4192-6