VKORC1 and Novel CYP2C9 Variation Predict Warfarin Response in Alaska Native and American Indian People.

Alaska Native and American Indian (AN/AI) people have unique pharmacogene variation that may affect warfarin disposition and therapeutic response. We performed targeted genotyping for cytochrome P450 (CYP)2C9, vitamin K epoxide oxidase reductase complex subunit 1 (VKORC1), CYP4F2, CYP4F11, and gamma-glutamyl carboxylase (GGCX) variants in AN/AI people receiving warfarin. The primary outcome was stable warfarin dose, defined as one dose, and associated international normalized ratio within the target range, at least 6 months after starting therapy, with two matching doses at least 2 weeks apart. Genotype-phenotype relationships were assessed by multivariate regression analysis, adjusted for self-reported heritage, age, gender, and concurrent statin use. VKORC1 genotype explained 34% of dose variability, with VKORC1 -1639G>A and 1173C>T associated with a 1.7 mg/day (P = 1.4e-05) dose reduction. Additionally, CYP2C9 N218I was suggestively significant (P = 0.077), with heterozygotes requiring 1.1 mg/day less than reference individuals. Self-reported heritage was significantly associated with dose, largely driven by differences in the diagnostic VKORC1 allele frequencies among AN/AI people.

Cytochrome P450 Genetic Variation Associated with Tamoxifen Biotransformation in American Indian and Alaska Native People.

Despite evidence that pharmacogenetics can improve tamoxifen pharmacotherapy, there are few studies with American Indian and Alaska Native (AIAN) people. We examined variation in cytochrome P450 (CYP) genes (CYP2D6, CYP3A4, CYP3A5, and CYP2C9) and tamoxifen biotransformation in AIAN patients with breast cancer (n = 42) from the Southcentral Foundation in Alaska and the Confederated Salish and Kootenai Tribes in Montana. We tested for associations between CYP diplotypes and plasma concentrations of tamoxifen and metabolites. Only the CYP2D6 variation was significantly associated with concentrations of endoxifen (P = 0.0008) and 4-hydroxytamoxifen (P = 0.0074), tamoxifen's principal active metabolites, as well as key metabolic ratios. The CYP2D6 was also the most significant predictor of active metabolites and metabolic ratios in a multivariate regression model, including all four genes as predictors, with minor roles for other CYP genes. In AIAN populations, CYP2D6 is the largest contributor to tamoxifen bioactivation, illustrating the importance of validating pharmacogenetic testing for therapy optimization in an understudied population.