Association between Polymorphism rs1799732 of Dopamine Receptor Gene and Personality Traits among Cannabis Dependency.

UNLABELLED

Compared to other addictive substances, patients with cannabis addiction are significantly outnumbered by those who report dependence on other, more addictive substances. Unfortunately, most cannabis addiction goes untreated, and among those who choose treatment, the requirements are much higher for adolescents and young adults.

THE AIM OF THE STUDY

To examine the relationship of cannabinoid dependency in the genetic context-the association between the rs1799732 polymorphism of the gene and psychological traits and anxiety.

METHODS

The study group consisted of 515 male volunteers. Of these, 214 patients were diagnosed with cannabis addiction and 301 were non-addicted. Patients were diagnosed with NEO Five-Factor Personality Inventory (NEO-FFI), and State-Trait Anxiety Inventory (STAI) questionnaires. The interactions between personality traits and polymorphisms in the rs1799732 gene were investigated in a group of cannabis-addicted patients and non-addicted controls using the real-time PCR method.

RESULTS

Compared to the control group, the case group obtained significantly higher scores on the STAI State, STAI Trait, Neuroticism and Openness scales, as well as lower scores on the Extraversion, Agreeableness, and Conscientiousness scales. There was no statistically significant difference between addicts and the control group in the frequency of genotypes, but there was a statistically significant difference between addicts and the control group in the frequency of the allele rs179973. The multivariate ANOVA analysis showed a statistically significant influence of the rs1799732 genotype on the NEO-FFI agreeableness scale and a statistically significant effect of addiction to cannabinoids or its absence on the NEO-FFI agreeableness scale score.

CONCLUSIONS

Studying homogeneous subgroups-as in our study-seems reasonable, particularly when combined with genetic determinants and psychological traits. In multigenic and multifactorial entities, such a strategy has a future.