Literature DB >> 23080225

Genome-wide association study of plasma efavirenz pharmacokinetics in AIDS Clinical Trials Group protocols implicates several CYP2B6 variants.

Emily R Holzinger1, Benjamin Grady, Marylyn D Ritchie, Heather J Ribaudo, Edward P Acosta, Gene D Morse, Roy M Gulick, Gregory K Robbins, David B Clifford, Eric S Daar, Paul McLaren, David W Haas.   

Abstract

OBJECTIVES: Prior candidate gene studies have associated CYP2B6 516G→T [rs3745274] and 983T→C [rs28399499] with increased plasma efavirenz exposure. We sought to identify novel variants associated with efavirenz pharmacokinetics.
MATERIALS AND METHODS: Antiretroviral therapy-naive AIDS Clinical Trials Group studies A5202, A5095, and ACTG 384 included plasma sampling for efavirenz pharmacokinetics. Log-transformed trough efavirenz concentrations (Cmin) were previously estimated by population pharmacokinetic modeling. Stored DNA was genotyped with Illumina HumanHap 650Y or 1MDuo platforms, complemented by additional targeted genotyping of CYP2B6 and CYP2A6 with MassARRAY iPLEX Gold. Associations were identified by linear regression, which included principal component vectors to adjust for genetic ancestry.
RESULTS: Among 856 individuals, CYP2B6 516G→T was associated with efavirenz estimated Cmin (P=8.5×10). After adjusting for CYP2B6 516G→T, CYP2B6 983T→C was associated (P=9.9×10). After adjusting for both CYP2B6 516G→T and 983T→C, a CYP2B6 variant (rs4803419) in intron 3 was associated (P=4.4×10). After adjusting for all the three variants, non-CYP2B6 polymorphisms were associated at P-value less than 5×10. In a separate cohort of 240 individuals, only the three CYP2B6 polymorphisms replicated. These three polymorphisms explained 34% of interindividual variability in efavirenz estimated Cmin. The extensive metabolizer phenotype was best defined by the absence of all three polymorphisms.
CONCLUSION: Three CYP2B6 polymorphisms were independently associated with efavirenz estimated Cmin at genome-wide significance, and explained one-third of interindividual variability. These data will inform continued efforts to translate pharmacogenomic knowledge into optimal efavirenz utilization.

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Year:  2012        PMID: 23080225      PMCID: PMC3614365          DOI: 10.1097/FPC.0b013e32835a450b

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  35 in total

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10.  CYP2B6*6 and CYP2B6*18 Predict Long-Term Efavirenz Exposure Measured in Hair Samples in HIV-Positive South African Women.

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