Faculty of Physical Education, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland.
Genes (Basel). 2024 Aug 28;15(9):1137. doi: 10.3390/genes15091137.
Genetic epidemiological studies have shown that numerous genetic variants cumulatively increase obesity risk. Although genetically predisposed individuals are more prone to developing obesity, it has been shown that physical activity can modify the genetic predisposition to obesity. Therefore, genetic data obtained from earlier studies, including 30 polymorphisms located in 18 genes, were analyzed using novel methods such as the total genetic score and Biofilter 2.4 software to combine genotypic and phenotypic information for nine obesity-related traits measured before and after the realization of the 12-week training program. The results revealed six genes whose genotypes were most important for post-training changes-, , , , , and . Five noteworthy pairwise interactions, × , × , × , × , × , and three specific interactions demonstrating significant associations with key parameters crucial for health, total cholesterol (TC), high-density lipoprotein (HDL), and fat-free mass (FFM), were also identified. The molecular basis of training adaptation described in this study would have an enormous impact on the individualization of training programs, which, designed according to a given person's genetic profile, will be effective and safe intervention strategies for preventing obesity and improving health.
遗传流行病学研究表明，许多遗传变异累积增加肥胖风险。虽然遗传易感性个体更容易发展为肥胖，但已经表明，身体活动可以改变肥胖的遗传易感性。因此，使用新方法（如总遗传评分和 Biofilter 2.4 软件）分析了早期研究中获得的遗传数据，这些方法结合了基因型和表型信息，用于分析 9 个与肥胖相关的特征，这些特征在 12 周训练计划实施前后进行了测量。结果揭示了六个对训练后变化最重要的基因，分别是、、、、、和。还确定了五个值得注意的两两相互作用，和三个与健康关键参数（总胆固醇（TC）、高密度脂蛋白（HDL）和无脂肪质量（FFM））具有显著关联的特定相互作用。本研究中描述的训练适应的分子基础将对训练计划的个体化产生巨大影响，根据特定个体的遗传特征设计的训练计划将是预防肥胖和改善健康的有效和安全的干预策略。
