Then, we used logistic regression analysis and the results indicated that LPIN1 and TNFAIP3 performed better in combination for prediction (HC vs. PD, AUC = 0.833, 95% CI: 0.750–0.916, p < 0.0001; HC vs. early PD, AUC = 0.831, 95% CI: 0.734–0.927, p < 0.0001) (Fig. 10D, E), while the diagnostic efficacy was relatively poor in discriminating early and middle-advanced PD (AUC = 0.637, 95% CI: 0.505–0.768, p = 0.041) (Fig. 10F). This evidence concerns the gene LPIN1 and Parkinson disease.