Association of Gene FRAP1 Т/G (rs2295080) Polymorphism With Power-Oriented Athlete’s Status

Drozdovska, Svitlana; Олешко, Валентин Григорьевич

doi:10.15823/sm.2016.33

Cited by 2 publications

(3 citation statements)

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“…Additionally, the literature suggests that mTOR polymorphism (rs2295080) alleles G = 45.2% and T = 54.8% also show different results [ 88 ]. The G-allele predominates in endurance athletes, whilst the T-allele frequency is greater in power and strength-oriented athletes [ 89 ]. Therefore, suggests the need to review this gene at an allele specific level.…”

Section: Discussionmentioning

confidence: 99%

Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

et al. 2021

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The aim of this systematic review and meta-analysis was to identify a list of common, candidate genes associated with the three components of fitness, specifically cardiovascular fitness, muscular strength, and anaerobic power, and how these genes are associated with exercise response phenotype variability, in previously untrained participants. A total of 3,969 potentially relevant papers were identified and processed for inclusion. After eligibility and study selection assessment, 24 studies were selected for meta-analysis, comprising a total of 3,012 participants (male n = 1,512; females n = 1,239; not stated n = 261; age 28 ± 9 years). Meta-Essentials spreadsheet 1.4 (Microsoft Excel) was used in creating the forest plots and meta-analysis. IBM SPSS statistics V24 was implemented for the statistical analyses and the alpha was set at p ≤ 0.05. 13 candidate genes and their associated alleles were identified, which were associated with the phenotypes of interest. Analysis of training group data showed significant differential phenotypic responses. Subgroup analysis showed; 44%, 72% and 10% of the response variance in aerobic, strength and power phenotypes, respectively, were explained by genetic influences. This analysis established that genetic variability explained a significant proportion of the adaptation differences across the three components of fitness in the participants post-training. The results also showed the importance of analysing and reporting specific gene alleles. Information obtained from these findings has the potential to inform and influence future exercise-related genes and training studies.

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Section: Discussionmentioning

confidence: 99%

Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

et al. 2021

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“…Evidence has shown that the G-allele predominates in endurance athletes when compared to power athletes and the control group, whilst the T-allele frequency is greater in power-oriented athletes [85]. However, this was not confirmed in this review because the studies did not identify individual alleles.…”

Section: Genes Associated With Anaerobic Powermentioning

confidence: 60%

“…Interestingly, the literature suggests that for mTOR, the relevant polymorphism (rs2295080), the alleles of interest are the G = 45.2% and T = 54.8% (https://www.ncbi.nlm.nih.gov/snp/rs2295080#frequency_tab). Evidence has shown that the G-allele predominates in endurance athletes when compared to power athletes and the control group, whilst the T-allele frequency is greater in power-oriented athletes [85]. However, this was not confirmed in this review because the studies did not identify individual alleles.…”

Section: Discussionmentioning

confidence: 70%

Do exercise-associated genes explain phenotypic variance in the three components of fitness? A Systematic review & Meta-analysis

Chung

Keiller

Roberts

et al. 2021

Preprint

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The aim of this systematic review and meta-analysis was to identify a list of common, candidate genes associated with the three components of fitness, specifically cardiovascular fitness, muscular strength, and anaerobic power, and how these genes are associated with exercise response phenotype variability, in previously untrained participants. A total of 3,969 potentially relevant papers were identified and processed for inclusion. After eligibility and study selection assessment, 24 studies were selected for meta-analysis, comprising a total of 3,012 participants. Meta-Essentials spreadsheet 1.4 (Microsoft Excel) was used in creating the forest plots and meta-analysis. IBM SPSS statistics V24 was implemented for the statistical analyses and the alpha was set at p ≤ 0.05. 13 candidate genes and their associated alleles were identified, which were associated with the phenotypes of interest. Analysis of training group data showed significant differential phenotypic responses. Subgroup analysis showed; 44%, 72% and 10% of the response variance in aerobic, strength and power phenotypes, respectively, were explained by genetic influences. This analysis established that genetic variability explained a significant proportion of the adaptation differences across the three components of fitness in the participants post-training. The results also showed the importance of analysing and reporting specific gene alleles. Information obtained from these findings has the potential to inform and influence future exercise-related genes and training studies.

show abstract

Association of Gene FRAP1 Т/G (rs2295080) Polymorphism With Power-Oriented Athlete’s Status

Cited by 2 publications

References 0 publications

Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis

Do exercise-associated genes explain phenotypic variance in the three components of fitness? A Systematic review & Meta-analysis

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