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  • × Nir Eynon
  • × 期刊论文
  • × BMC Genomics
 全选  【符合条件的数据共:16条】

BMC Genomics,

Nir Eynon, Ruth Birk, Xu Yan, Yuliya E Pushkareva, Aleksandr V Degtyarev, Evgeniy F Orekhov, Dmitry A Dyatlov, Agata Leońska-Duniec, M-arek Sawczuk, Agnieszka Maciejewska-Karlowska, Aleksandra Zarebska, Pawel Cieszczyk, Vladimir P Pushkarev, Lauren K Banting

英文

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BMC Genomics,

Nir Eynon, Ruth Birk, Xu Yan, Yuliya E Pushkareva, Aleksandr V Degtyarev, Evgeniy F Orekhov, Dmitry A Dyatlov, Agata Leońska-Duniec, M-arek Sawczuk, Agnieszka Maciejewska-Karlowska, Aleksandra Zarebska, Pawel Cieszczyk, Vladimir P Pushkarev, Lauren K Banting

英文

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BMC Genomics,,18,S82017年

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

LicenseType:Unknown |

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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.

    BMC Genomics,2017年

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

    LicenseType:CC BY |

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    BackgroundCardiorespiratory 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.MethodsPeer-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.ResultsThirty-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.ConclusionNinety-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.

      BMC Genomics,2017年

      Nicole Vlahovich, David C. Hughes, Fabio Pigozzi, Lyn R. Griffiths, Nir Eynon, Nobert Bachl, Guan Wang, Yannis P. Pitsiladis

      LicenseType:CC BY |

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      BackgroundThere has been considerable growth in basic knowledge and understanding of how genes are influencing response to exercise training and predisposition to injuries and chronic diseases. On the basis of this knowledge, clinical genetic tests may in the future allow the personalisation and optimisation of physical activity, thus providing an avenue for increased efficiency of exercise prescription for health and disease.ResultsThis review provides an overview of the current status of genetic testing for the purposes of exercise prescription and injury prevention. As such there are a variety of potential uses for genetic testing, including identification of risks associated with participation in sport and understanding individual response to particular types of exercise. However, there are many challenges remaining before genetic testing has evidence-based practical applications; including adoption of international standards for genomics research, as well as resistance against the agendas driven by direct-to-consumer genetic testing companies. Here we propose a way forward to develop an evidence-based approach to support genetic testing for exercise prescription and injury prevention.ConclusionBased on current knowledge, there is no current clinical application for genetic testing in the area of exercise prescription and injury prevention, however the necessary steps are outlined for the development of evidence-based clinical applications involving genetic testing.

        BMC Genomics,2017年

        Guan Wang, Yannis Pitsiladis, Sarah Voisin, Nir Eynon, Alejandro Lucia

        LicenseType:CC BY |

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