Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study.
J Biomed Sci
; 28(1): 37, 2021 May 13.
Article
em En
| MEDLINE
| ID: mdl-33985508
ABSTRACT
BACKGROUND:
Low cardiorespiratory fitness (VÌO2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve VÌO2peak, there is considerable inter-individual variability in the VÌO2peak response to the same dose of exercise. Understanding how genetic factors contribute to VÌO2peak 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 VÌO2peak response following exercise training.METHODS:
Participant change in objectively measured VÌO2peak 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 < 1 × 10-5) with the magnitude of VÌO2peak response. Findings were tested in an independent validation study (n = 39) and compared to previous research.RESULTS:
No variants at the genome-wide significance level were found after adjusting for key covariates (baseline VÌO2peak, individual study, principal components which were significantly associated with the trait). A Quantile-Quantile plot indicates there was minor inflation in the study. Twelve novel loci showed a trend of association with VÌO2peak response that reached suggestive significance (P < 1 × 10-5). The strongest association was found near the membrane associated guanylate kinase, WW and PDZ domain containing 2 (MAGI2) gene (rs6959961, P = 2.61 × 10-7). A PPS created from the 12 lead SNPs was unable to predict VÌO2peak response in a tenfold cross validation, or in an independent (n = 39) validation study (P > 0.1). Significant correlations were found for beta coefficients of variants in the Predict-HIIT (P < 1 × 10-4) and the validation study (P < × 10-6), indicating that general effects of the loci exist, and that with a higher statistical power, more significant genetic associations may become apparent.CONCLUSIONS:
Ongoing research and validation of current and previous findings is needed to determine if genetics does play a large role in VÌO2peak response variance, and whether genomic predictors for VÌO2peak response trainability can inform evidence-based clinical practice. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), Trial Id ACTRN12618000501246, Date Registered 06/04/2018, http//www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374601&isReview=true .Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Variação Genética
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Exercício Físico
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Estudo de Associação Genômica Ampla
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Aptidão Cardiorrespiratória
Tipo de estudo:
Etiology_studies
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Guideline
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article