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抵抗训练后反运动跳跃增强的个体差异的遗传标记和预测模型

Tao Mei¹, Xiaoxia Li², Yanchun Li¹

¹China Institute of Sport and Health Science, Beijing Sport University, Beijing, China.

Biology of sport

|October 17, 2024

概括

遗传标记物会影响抵抗训练的结果. 全基因组关联分析确定了与训练后功率改善相关的特定SNP,为个人反应的预测模型做出了贡献.

科学领域:

运动生理学运动生理学
人类遗传学人类遗传学
运动科学运动科学运动科学

背景情况:

个人对抗力训练的反应有很大的不同.
遗传因素被假设在这些差异中起作用.
了解遗传贡献可以优化训练个性化.

研究的目的:

使用全基因组关联分析 (GWAS) 识别与抵抗训练功率增强相关的遗传标记.
研究已识别的遗传标记物的生物途径.
为抵抗训练结果开发一个预测模型.

主要方法:

193名汉族成年人接受了为期12周的耐力训练计划 (坐,长椅压力).
进行了全基因组基因型鉴定和反运动跳跃 (CMJ) 高度,肌肉强度和质量的评估.
用全基因组关联分析 (GWAS) 和多基因分数 (PGS) 的计算来构建一个预测模型.

主要成果:

训练后观察到CMJ高度显著增加 (16.53%,p < 0.01),个人差异很大.
38个SNP,包括PCTP rs9907859 (p < 1 × 10-8),与CMJ高度变化显著相关.
预测模型解释了62.6%的培训结果差异 (13.0%来自PGS,49.6%来自表型指标).

结论:

抵抗训练反应的个体差异是显而易见的.
遗传标记和表型指标对预测训练结果有很大的贡献.
已识别的SNP参与肌肉骨运动和条纹肌肉收缩路径.

关键词:

反运动跳跃跳跃.全基因组关联研究研究.个性化的运动,个性化的运动.预测模型是一个预测模型.阻力训练阻力训练阻力训练

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