Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study

Abstract Background Low cardiorespiratory fitness (V?O 2peak ) is highly associated with chronic disease and mortality from all causes. Whilst exercise training recommended in health guidelines to improve V?O , there considerable inter-individual variability the response same dose of exercise. Understanding how genetic factors contribute may personalisation programs. The aim this study was identify variants that are magnitude 2 peak following training. Methods Participant change objectively measured 18 different interventions obtained a multi-centre (Predict-HIIT). A genome-wide association completed (n = 507), polygenic predictor score (PPS) developed using alleles single nucleotide polymorphisms (SNPs) significantly ( P < 1 × 10 –5 response. Findings were tested an independent validation 39) compared previous research. Results No at significance level found after adjusting for key covariates (baseline individual study, principal components which trait). Quantile–Quantile plot indicates minor inflation study. Twelve novel loci showed trend reached suggestive ). strongest near membrane guanylate kinase, WW PDZ domain containing MAGI2 gene (rs6959961, 2.61 –7 PPS created 12 lead SNPs unable predict tenfold cross validation, or > 0.1). Significant correlations beta coefficients Predict-HIIT –4 –6 ), indicating general effects exist, higher statistical power, more significant associations become apparent. Conclusions Ongoing research current findings needed determine if genetics does play large role variance, whether genomic predictors trainability can inform evidence-based clinical practice. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), Id: ACTRN12618000501246, Date Registered: 06/04/2018, http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374601&isReview=true .