A genetic-based algorithm for personalized resistance training

A genetic-based algorithm for personalized resistance training
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DOI:
10.5604/20831862.1198210
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发表时间:
2016-01-01
期刊:
影响因子:
5.6
通讯作者:
Grimaldi, K. A.
Grimaldi, K. A.
中科院分区:
医学2区
文献类型:
--
作者:
Jones, N.;Kiely, J.;Grimaldi, K. A.

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相关研究已经确定了数十种与训练反应和运动相关性状相关的遗传变异。然而,还没有进行基于运动员遗传特征的个性化训练的干预研究。在这里,我们提出了一种算法,允许实现更大的结果,在响应高强度或低强度的阻力训练计划,预测运动员的潜力,发展的权力和耐力素质与面板的15个性能相关的基因多态性。为了开发和验证这样的算法,我们在独立的男性运动员队列中进行了两项研究(研究1:来自不同运动的运动员(n=28);研究2:足球运动员(n= 39))。在这两项研究中,运动员完成了为期八周的高强度或低强度阻力训练计划,这些训练计划与他们的个体基因型匹配或不匹配。两个变量的爆发力和有氧健身,作为测量的反向运动跳跃(CMJ)和有氧3分钟周期测试(Aero 3)之前和之后的8周的阻力训练进行了评估。在研究1中,来自匹配组(即,高强度训练与力量基因型或低强度训练与耐力基因型)的运动员显著增加CMJ(P=0.0005)和Aero 3(P=0.0004)的结果。然而,来自不匹配组(即,高强度训练与耐力基因型或低强度训练与功率基因型)的运动员在CMJ中表现出不显著的改善(P=0.175),并且在Aero 3中表现出不太突出的结果(P=0.0134)。在研究2中,来自匹配组的足球运动员也表现出显著更大的(P
Association studies have identified dozens of genetic variants linked to training responses and sport-related traits. However, no intervention studies utilizing the idea of personalised training based on athlete's genetic profile have been conducted. Here we propose an algorithm that allows achieving greater results in response to high- or low-intensity resistance training programs by predicting athlete's potential for the development of power and endurance qualities with the panel of 15 performance-associated gene polymorphisms. To develop and validate such an algorithm we performed two studies in independent cohorts of male athletes ( study 1: athletes from different sports (n=28); study 2: soccer players (n= 39)). In both studies athletes completed an eight-week high- or low-intensity resistance training program, which either matched or mismatched their individual genotype. Two variables of explosive power and aerobic fitness, as measured by the countermovement jump (CMJ) and aerobic 3-min cycle test (Aero3) were assessed pre and post 8 weeks of resistance training. In study 1, the athletes from the matched groups (i.e. high- intensity trained with power genotype or low-intensity trained with endurance genotype) significantly increased results in CMJ (P=0.0005) and Aero3 (P=0.0004). Whereas, athletes from the mismatched group (i.e. high- intensity trained with endurance genotype or low-intensity trained with power genotype) demonstrated non-significant improvements in CMJ (P=0.175) and less prominent results in Aero3 (P=0.0134). In study 2, soccer players from the matched group also demonstrated significantly greater (P