The ROC analysis in the training group demonstrated that MRAP2, PPP1R14A, PLN, and TENT5B could efficiently discriminate AAA from controls, with AUCs of 0.911 (95% CI: 0.843–0.965) for MRAP2 (Figure 6A), 0.873 (95% CI: 0.792–0.937) for PPP1R14A (Figure 6B), 0.864 (95% CI: 0.751–0.952) for PLN (Figure 6C), and 0.895 (95% CI: 0.813–0.961) for TENT5B (Figure 6D). Here, MRAP2 is linked to triple-A syndrome.