4.1 Article

Pharmacogenetic analysis of opioid dependence treatment dose and dropout rate

Journal

AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE
Volume 44, Issue 4, Pages 431-440

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/00952990.2017.1420795

Keywords

Opioid dependence; methadone; buprenorphine; pharmacogenetics; COMT; SERT

Funding

  1. National Institute on Drug Abuse through the Clinical Trials Network (CTN) [U10 DA01714, U10 DA013036, U10 DA015815, U10 DA13038, U10 DA13043, U10 DA13045, U10 DA013046]
  2. NIDA [K01 DA036751]
  3. Delaware Valley Node [U10 DA13043]
  4. [R21 DA036808]

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Background: Currently, no pharmacogenetic tests for selecting an opioid-dependence pharmacotherapy have been approved by the US Food and Drug Administration. Objectives: Determine the effects of variants in 11 genes on dropout rate and dose in patients receiving methadone or buprenorphine/naloxone (ClinicalTrials.gov Identifier: NCT00315341). Methods: Variants in six pharmacokinetic genes (CYP1A2, CYP2B6, CYP2C19, CYP2C9, CYP2D6, CYP3A4) and five pharmacodynamic genes (HTR2A, OPRM1, ADRA2A, COMT, SLC6A4) were genotyped in samples from a 24-week, randomized, open-label trial of methadone and buprenorphine/naloxone for the treatment of opioid dependence (n=764; 68.7% male). Genotypes were then used to determine the metabolism phenotype for each pharmacokinetic gene. Phenotypes or genotypes for each gene were analyzed for association with dropout rate and mean dose. Results: Genotype for 5-HTTLPR in the SLC6A4 gene was nominally associated with dropout rate when the methadone and buprenorphine/naloxone groups were combined. When the most significant variants associated with dropout rate were analyzed using pairwise analyses, SLC6A4 (5-HTTLPR) and COMT (Val158Met; rs4860) had nominally significant associations with dropout rate in methadone patients. None of the genes analyzed in the study was associated with mean dose of methadone or buprenorphine/naloxone. Conclusions: This study suggests that functional polymorphisms related to synaptic dopamine or serotonin levels may predict dropout rates during methadone treatment. Patients with the S/S genotype at 5-HTTLPR in SLC6A4 or the Val/Val genotype at Val158Met in COMT may require additional treatment to improve their chances of completing addiction treatment. Replication in other methadone patient populations will be necessary to ensure the validity of these findings.

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