Incorporation of Gene-Environment Interaction Terms Improved the Predictive Accuracy of Tacrolimus Stable Dose Algorithms in Chinese Adult Renal Transplant Recipients.

摘要: The narrow therapeutic window of tacrolimus necessitates daily monitoring and predictive algorithms based on genetic nongenetic factors. In this study, we constructed for stable dose in a retrospective cohort 1045 Chinese renal transplant recipients. All patients were genotyped CYP3A4 20230T>C (rs2242480), T>C (rs4646437), CYP3A5*3 6898A>G (rs776746), ABCB1 129T>C (rs3213619); c.1236C>T (rs01128503), c.2677G>T/A (rs2032582) c.3435C>T (rs1045642) polymorphisms, the effects gene-gene gene-environment interactions accuracy algorithm evaluated. wild-type rs2242480 (TT) carriers, who took calcium channel blockers had lower doses than those without concomitant medications (P < 1 × 10-4 ). contrast, there was no significant difference mutant type patients. Similarly, CYP3A5 rs776746 carriers hypertension higher = 4.10 10-3 More importantly, dose-predictive with interaction terms showed better performance terms. Our finding suggested that should be more cautious to take when they are coadministrated blockers, (AA) may need dosage combination hypertension.