CD4 and tuberculosis: Non-parametric Receiver Operator Characteristic (ROC) curves to determine the discriminatory potential of single genes identified IL7R, CD3E, IL5, NLRP1, PRF1, TLR9, CCR7, NLRP12, TAGAP, BCL2, TLR5, CCL5, PTPRCv1, FCGR1A, BLR1, GNLY, NLRP2, IL23A, RAB33A, NCAM1, IL12B, CD4, BPI and CASP8 with Area Under the Curve (AUCs) of 0.99, 0.98, 0.97, 0.96, 0.95, 0.95, 0.92, 0.92, 0.91, 0.91, 0.89, 0.88, 0.87, 0.86, 0.86, 0.85, 0.85, 0.84, 0.84, 0.83, 0.83, 0.81, 0.81 and 0.80 respectively as those genes with the most powerful classifying potential to discriminate between TB cases and TST+ (Fig 2A).