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1.
Pharmacogenomics J ; 14(3): 303-8, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24126707

ABSTRACT

Two commonly prescribed treatments for opioid addiction are methadone and buprenorphine. Although these drugs show some efficacy in treating opioid dependence, treatment response varies among individuals. It is likely that genetic factors have a role in determining treatment outcome. This study analyses the pharmacogenetic association of six polymorphisms in OPRD1, the gene encoding the delta-opioid receptor, on treatment outcome in 582 opioid addicted European Americans randomized to either methadone or buprenorphine/naloxone (Suboxone) over the course of a 24-week open-label clinical trial. Treatment outcome was assessed as the number of missed or opioid-positive urine drug screens over the 24 weeks. In the total sample, no single-nucleotide polymorphisms (SNPs) in OPRD1 were significantly associated with treatment outcome in either treatment arm. However, sex-specific analyses revealed two intronic SNPs (rs581111 and rs529520) that predicted treatment outcome in females treated with buprenorphine. Females with the AA or AG genotypes at rs581111 had significantly worse outcomes than those with the GG genotype when treated with buprenorphine (P=0.03, relative risk (RR)=1.67, 95% confidence interval (CI) 1.06-2.1). For rs529520, females with the AA genotype had a significantly worse outcome than those with the CC genotype when (P=0.006, RR=2.15, 95% CI 1.3-2.29). No significant associations were detected in males. These findings suggest that rs581111 and rs52920 may be useful when considering treatment options for female opioid addicts, however, confirmation in an independent sample is warranted.


Subject(s)
Buprenorphine/therapeutic use , Genetic Variation , Opioid-Related Disorders/drug therapy , Receptors, Opioid, delta/genetics , Female , Humans , Opioid-Related Disorders/genetics , White People
2.
Drug Alcohol Depend ; 127(1-3): 122-8, 2013 Jan 01.
Article in English | MEDLINE | ID: mdl-22795689

ABSTRACT

BACKGROUND: Addiction susceptibility and treatment responsiveness are greatly influenced by genetic factors. Sequence variation in genes involved in the mechanisms of drug action have the potential to influence addiction risk and treatment outcome. The opioid receptor system is involved in mediating the rewarding effects of cocaine and opioids. The µ-opioid receptor (MOR) has traditionally been considered the primary target for opioid addiction. The MOR, however, interacts with and is regulated by many known MOR interacting proteins (MORIPs), including the δ-opioid receptor (DOR). METHODS: The present study evaluated the contribution of OPRD1, the gene encoding the DOR, to the risk of addiction to opioids and cocaine. The association of OPRD1 polymorphisms with both opioid addiction (OA) and cocaine addiction (CA) was analyzed in African American (OA n=336, CA n=503) and European American (OA n=1007, CA n=336) populations. RESULTS: The primary finding of this study is an association of rs678849 with cocaine addiction in African Americans (allelic p=0.0086). For replication purposes, this SNP was analyzed in a larger independent population of cocaine addicted African Americans and controls and the association was confirmed (allelic p=4.53 × 10(-5); n=993). By performing a meta-analysis on the expanded populations, the statistical evidence for an association was substantially increased (allelic p=8.5 × 10(-7)) (p-values non-FDR corrected). CONCLUSION: The present study suggests that polymorphisms in OPRD1 are relevant for cocaine addiction in the African American population and provides additional support for a broad role for OPRD1 variants in drug dependence.


Subject(s)
Black or African American/genetics , Cocaine-Related Disorders/genetics , Opioid-Related Disorders/genetics , Polymorphism, Single Nucleotide/genetics , Receptors, Opioid, delta/genetics , White People/genetics , Case-Control Studies , Cocaine-Related Disorders/diagnosis , Female , Humans , Male , Opioid-Related Disorders/diagnosis , Population Surveillance/methods
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