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Updated: Apr 24, 2026

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods
Published on: August 4, 2022
Genetic influence on methadone treatment outcomes in patients undergoing methadone maintenance treatment for opioid
Zainab Samaan1, Monica Bawor2, Brittany B Dennis3
1Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada ; Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada ; Population Genomics Program, Chanchlani Research Centre, McMaster University, Hamilton, Ontario, Canada ; MiNDS Neuroscience Program, McMaster University, Hamilton, Ontario, Canada.
Introduction:
Treatment of opioid addiction with methadone is effective; however, it is known to produce interindividual variability. This may be influenced in part by genetic variants, which can increase the initial risk of developing opioid addiction as well as explain differences in response to treatment. This pilot study aimed to assess the feasibility of conducting a full-scale genetic analysis to identify genes that predict methadone treatment outcomes in this population.
Methods:
This was a cross-sectional observational study of patients admitted to a methadone maintenance treatment program for opioid addiction. We obtained demographic and clinical characteristics in addition to blood and urine samples, for the assessment of treatment outcomes.
Results:
The recruitment process yielded 252 patients, representing a 20% recruitment rate. We conducted genetic testing based on a 99.6% rate of provision of DNA samples. The average retention in treatment was 3.4 years, and >50% of the participants reported psychiatric and medical comorbidities. BDNF rs6265 and DRD2 rs1799978 were the common single nucleotide polymorphisms (SNPs) selected for the feasibility study.
Discussion:
This study met our predetermined feasibility criteria; recruitment, response rates, and genetic testing were feasible; treatment duration was sufficient for follow up; and the prevalence of comorbid conditions indicated the need for reliable psychiatric and chronic pain measures. The study strengths included effective collaboration with clinics and the generalizability of sample population. Key learning points show the need for assessment of treatment outcomes on multiple domains, implementation of follow up, and the development of standardized training for the study clinical staff.
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