Exercise-Enhanced Gender-related Genes

We utilized a multiple linear regression model to explore the relationship between specific clinical traits and gene expression. One of our explanatory variables was designated as a factor, such as gender, while controlling for other potential influences including tissue type, age, physical activity (exercise vs sedentary), and batch effects. Additionally, we incorporated an interaction term between the explanatory variable and physical activity.
If the P-value associated with the regression coefficient of the gene term was less than 0.05, we considered that the gene significantly influenced the trait on average. When both the regression coefficient for the gene itself and its interaction term with physical activity were significant, we concluded that the gene exerted a significant average effect on the trait, and this effect varied with changes in physical activity status.
In cases where the regression coefficient for the gene itself was not significant but the interaction term between the gene and physical activity was significant, we acknowledged that the gene affected the trait, but this influence depended on specific physical activity conditions. However, the average effect of this gene was not deemed significant under these circumstances.We have separately explored lists of exercise-related genes associated with gender, age, and BMI. You can download and view them through the link below: