Skip to main content
. 2011 Dec 6;6(12):e28591. doi: 10.1371/journal.pone.0028591

Table 2. Logistic regression analysis to determine the effect on diseases and the area under curve (AUC) of ACSL5 values in PBMCs.

ACSL5 Coefficient Wald P-value OR, 95% CI AUC
ACSL5(N) 0.047 7.26 0.007 1.048 (1.013–1.084) 0.732
ACSL5(A) −0.011 5.316 0.021 0.989 (0.980–0.998) 0.598
ACSL5(SI) 0.384 11.138 0.001 0.681 (0.544–0.854) 0.776

Results are represented with the beta coefficient and the odds ratios (OR) with 95% confidence intervals (CI).