Prism statistical software 7

GraphPad Prism statistical software 7.0 (San Diego, CA, United States) was used. Chi-square test (χ²) was used to analyze differences in genotype distribution and allelic frequencies and verify Hardy–Weinberg equilibrium. The normal distribution of all the variables was tested using the D’Agostino-Pearson test. All the continuous variables were expressed as mean ± standard deviation (SD). The differences between quantitative variables were analyzed by paired t-test for paired data (intra-group differences before and after intervention) or unpaired t-test for independent groups (between-groups difference within time points). Cumming estimation plots, which show individual values, means, and effect size with a 95% CI, were developed using Estimation Statistics for Data Visualization (Ho et al., 2019 (link)). Kruskal-Wallis test was used to compare the body composition changes among the different genotypes. Differences between two specific genotypes were evaluated with the Mann-Whitney U test. The level of significance used in all the comparisons was p < 0.05.

All statistical analyses were performed using a Prism statistical software 7.0 (GraphPad). The data were extracted from the AnyMaze software 5.1. To analyse OFT and light/dark task, we used the absolute data. The time in each object in NORT was transformed into a percentage, from which the delta was extracted based on the subtraction: OF1 − OF2 (training session) and NO − FO (test session). The two-way ANOVA with Bonferroni correct were used to analyse OFT. One-way ANOVA were used to compare multiple groups in the NORT and light–dark task and Student’s t-test for immune response analyses. Data are presented as mean ± standard error. P < 0.05 was considered statistically significant.