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. Author manuscript; available in PMC: 2017 Feb 16.
Published in final edited form as: Pharmacogenomics J. 2015 Dec 15;17(1):61–68. doi: 10.1038/tpj.2015.87

Table 2.

The effect of genotypes and clinical covariates on tacrolimus clearance (Cl/F) and final parameters estimates

Parameter/Covariate Model development cohort. Estimate (%RSEa) of the effect on TVCl/F Bootstrap analysis. Median (95% confidence interval)
Typical Value of Cl/F (TVCl/F) in L/hr 54.60 (10.0%) 54.48 (44.51–66.63)
Two loss of function alleles (CYP3A5*3/*3 or *3/*7 or CYP3A5*3/*6 or *6/*7) 0.53 (10.9%) 0.53 (0.43–0.66)
One loss of function alleles (CYP3A5*1/*3 or CYP3A5*1/*6 or CYP3A5*1/*7) 0.85 (9.7%) 0.85 (0.70–1.04)
Less than day 9 posttransplant 1.33 (4.2%) 1.33 (1.23–1.45)
Steroid drug use 1.23 (6.9%) 1.24 (1.07–1.42)
Antiviral drug use 0.92 (2.9%) 0.91 (0.87–0.97)
Recipient age (18–34 yrs) 1.24 (7.8%) 1.24 (1.07–1.47)
Between subject variabilityb 0.21 (18.1%)
[CV%=48.6%]
0.21 (0.14–0.28)
[CV%= 46.7% (38.76–56.84%]
Residual unexplained variability in trough (ng/mL) 2.76 (7.5%) 2.75 (2.55–2.96) ng/mL
a

RSE is relative standard error

b

0.21 represents the estimate of the variance of individual η(1). CV% is the coefficient of variance and represents interindividual variability in the population. CV% = sqrt {[exp (variance)]−1}