BACKGROUND: The CYP4503A5*1 genotype is associated with lower tacrolimus concentrations. Although its effect is important, it incompletely explains the variability in tacrolimus concentrations and has a relatively low minor allele frequency in whites relative to African Americans (AA). METHODS: We studied clinical and recipient genetic correlates of dose-normalized tacrolimus troughs (n=12,277) in the first 6 months posttransplant using a customized single-nucleotide polymorphism chip with 2722 variants in a large, ethnically diverse (144 AA and 551 non-AA) adult kidney transplant population through a seven-center consortium. RESULTS: During the 6-month study, AAs had consistently lower median (interquartile range) troughs than non-AAs, 6.2 (4.4-8.4) ng/mL vs. 8.3 (6.4-10.4) ng/mL (P<0.0001), despite 60% higher daily doses, 8 (5-10) mg vs. 5 (4-7) mg (P<0.0001). The median tacrolimus trough concentration in week 1 posttransplant was particularly low in AAs (2.1 [1.2-3.5] ng/mL) compared with non-AAs (5.0 [3.1-8.2] ng/mL) (P<0.0001), despite similar initial doses. In single-variant analysis, CYP3A5*3 (rs776746) was the top variant (P=2.4×10) associated with troughs. After adjustment for CYP3A5*3, clinical factors and race, 35 additional variants were identified (P<0.01, not significant at false discovery rate 20%). In the final multivariant, regression models beginning with these variants and clinical factors, seven variants were identified in the non-AA and seven variants in the AA group towards the first trough concentrations. Rs776746 (CYP3A5), rs2239393 (COMT) and diabetes were the only factors common in both populations. CONCLUSION: We identified variants beyond CYP3A5*3, which may further explain pharmacokinetic variability of tacrolimus and demonstrated that important variants differ by race.
BACKGROUND: The CYP4503A5*1 genotype is associated with lower tacrolimus concentrations. Although its effect is important, it incompletely explains the variability in tacrolimus concentrations and has a relatively low minor allele frequency in whites relative to African Americans (AA). METHODS: We studied clinical and recipient genetic correlates of dose-normalized tacrolimus troughs (n=12,277) in the first 6 months posttransplant using a customized single-nucleotide polymorphism chip with 2722 variants in a large, ethnically diverse (144 AA and 551 non-AA) adult kidney transplant population through a seven-center consortium. RESULTS: During the 6-month study, AAs had consistently lower median (interquartile range) troughs than non-AAs, 6.2 (4.4-8.4) ng/mL vs. 8.3 (6.4-10.4) ng/mL (P<0.0001), despite 60% higher daily doses, 8 (5-10) mg vs. 5 (4-7) mg (P<0.0001). The median tacrolimus trough concentration in week 1 posttransplant was particularly low in AAs (2.1 [1.2-3.5] ng/mL) compared with non-AAs (5.0 [3.1-8.2] ng/mL) (P<0.0001), despite similar initial doses. In single-variant analysis, CYP3A5*3 (rs776746) was the top variant (P=2.4×10) associated with troughs. After adjustment for CYP3A5*3, clinical factors and race, 35 additional variants were identified (P<0.01, not significant at false discovery rate 20%). In the final multivariant, regression models beginning with these variants and clinical factors, seven variants were identified in the non-AA and seven variants in the AA group towards the first trough concentrations. Rs776746 (CYP3A5), rs2239393 (COMT) and diabetes were the only factors common in both populations. CONCLUSION: We identified variants beyond CYP3A5*3, which may further explain pharmacokinetic variability of tacrolimus and demonstrated that important variants differ by race.
Authors: V Haufroid; P Wallemacq; V VanKerckhove; L Elens; M De Meyer; D C Eddour; J Malaise; D Lison; M Mourad Journal: Am J Transplant Date: 2006-11 Impact factor: 8.086
Authors: Yang Dai; Mary F Hebert; Nina Isoherranen; Connie L Davis; Christopher Marsh; Danny D Shen; Kenneth E Thummel Journal: Drug Metab Dispos Date: 2006-02-24 Impact factor: 3.922
Authors: E Thervet; M A Loriot; S Barbier; M Buchler; M Ficheux; G Choukroun; O Toupance; G Touchard; C Alberti; P Le Pogamp; B Moulin; Y Le Meur; A E Heng; J F Subra; P Beaune; C Legendre Journal: Clin Pharmacol Ther Date: 2010-04-14 Impact factor: 6.875
Authors: Salim Fredericks; Michelle Moreton; Sandrine Reboux; Nicholas D Carter; Lawrence Goldberg; David W Holt; Iain A M MacPhee Journal: Transplantation Date: 2006-09-15 Impact factor: 4.939
Authors: D Voora; D C Koboldt; C R King; P A Lenzini; C S Eby; R Porche-Sorbet; E Deych; M Crankshaw; P E Milligan; H L McLeod; S R Patel; L H Cavallari; P M Ridker; G R Grice; R D Miller; B F Gage Journal: Clin Pharmacol Ther Date: 2010-03-03 Impact factor: 6.875
Authors: Robert S Gaston; J Michael Cecka; Bert L Kasiske; Ann M Fieberg; Robert Leduc; Fernando C Cosio; Sita Gourishankar; Joseph Grande; Philip Halloran; Lawrence Hunsicker; Roslyn Mannon; David Rush; Arthur J Matas Journal: Transplantation Date: 2010-07-15 Impact factor: 4.939
Authors: Jean Nicholas Roy; Azemi Barama; Charles Poirier; Bernard Vinet; Michel Roger Journal: Pharmacogenet Genomics Date: 2006-09 Impact factor: 2.089
Authors: S Gourishankar; R Leduc; J Connett; J M Cecka; F Cosio; A Fieberg; R Gaston; P Halloran; L Hunsicker; B Kasiske; D Rush; J Grande; R Mannon; A Matas Journal: Am J Transplant Date: 2010-01-05 Impact factor: 8.086
Authors: L H Cavallari; T Y Langaee; K M Momary; N L Shapiro; E A Nutescu; W A Coty; M A G Viana; S R Patel; J A Johnson Journal: Clin Pharmacol Ther Date: 2010-01-13 Impact factor: 6.875
Authors: Chaitali Passey; Angela K Birnbaum; Richard C Brundage; William S Oetting; Ajay K Israni; Pamala A Jacobson Journal: Br J Clin Pharmacol Date: 2011-12 Impact factor: 4.335
Authors: Rebecca A Pulk; David S Schladt; William S Oetting; Weihua Guan; Ajay K Israni; Arthur J Matas; Rory P Remmel; Pamala A Jacobson Journal: Pharmacogenomics Date: 2015-06-12 Impact factor: 2.533
Authors: W S Oetting; D P Schladt; W Guan; M B Miller; R P Remmel; C Dorr; K Sanghavi; R B Mannon; B Herrera; A J Matas; D R Salomon; P-Y Kwok; B J Keating; A K Israni; P A Jacobson Journal: Am J Transplant Date: 2015-10-20 Impact factor: 8.086
Authors: Chaitali Passey; Angela K Birnbaum; Richard C Brundage; David P Schladt; William S Oetting; Robert E Leduc; Ajay K Israni; Weihua Guan; Arthur J Matas; Pamala A Jacobson Journal: Pharmacogenomics Date: 2012-07 Impact factor: 2.533