Associations of Genetic Variants in the Dopamine Transporter with Problematic Sexual Behavior and Reward Deficiency Syndrome
Jiang, S.; Foo, J. C.; Hu, X.; Green, B.; Arnau, R.; Carnes, P. J.; Behavioral Addictions Studies and Insights Consortium, ; Isenberg, R.; Wishart, D.; Carnes, P. J.; Fujiwara, E.; Aitchison, K. J.
Show abstract
ObjectivesProblematic sexual behavior (PSB) is defined by recurrent sexual behaviors that are difficult to control, causing social and functional impairments. PSB can co-occur with reward deficiency syndrome (RDS), but this relationship remains unclear. RDS has been associated with the 10/10 genotype of 3 variable number tandem repeat (VNTR) in the dopamine transporter gene SLC6A3, which is implicated in the reward pathway. This study investigates the genetic relationship between PSB and RDS, testing their association with SLC6A3 3 VNTR genotype. MethodsPSB patients from addiction treatment facilities (n=454), and comparison participants (with non-clinical PSB=82; without PSB, n=888) were recruited. PSB was measured by the Sexual Addiction Screening Test-Revised (SAST-R) Core and RDS was measured using a composite variable from a custom test battery. DNA was collected from saliva and buccal swabs. Genotyping was performed using polymerase chain reaction (PCR), and regression analyses were conducted to investigate the association of SLC6A3 3 VNTR genotype with PSB and RDS. ResultsThe 10/10 genotype of SLC6A3 3 VNTR was associated with RDS in a combined analysis of all groups, and with non-clinical PSB in the comparison participants. In patients, rare SLC6A3 3 VNTR genotypes (3-, 6-, 8-, 11-repeat alleles) were associated with PSB. No genotype showed relationships to RDS in only PSB patients. ConclusionsThe association between the 10/10 genotype and RDS in the whole sample is consistent with previous findings associating this genotype with vulnerability to addictions. Consistent with our earlier report of PSB being related to RDS, this genotype was also associated with PSB in participants with PSB of a lesser severity. This is the first report of an association between the 10/10 genotype and PSB. In those with PSB of a greater severity, the power of the analysis was less, with a suggestive signal for an association between rare genotypes of the dopamine transporter and PSB.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Trends in Prevalence of Cannabis Use Disorders among U.S. Veterans with and without Psychiatric Disorders Between 2005 and 2019 94%
- Psychiatric comorbidities in substance use disorders: Sex-based differences in a national real-world clinic sample 94%
- Association of cannabis use-related predictor variables and self-reported psychotic disorders: US adults, 2001-2002 and 2012-2013 93%
Similar papers in this journal
- Association Patterns of Antisocial Personality Disorder across Substance Use Disorders 95%
- Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data 93%
- Metabolic Disturbances, Hemoglobin A1c, and Social Cognition Impairment in Schizophrenia Spectrum Disorders 93%
Similar papers in this journal
- A Multivariate Approach to Understanding the Genetic Overlap between Externalizing Phenotypes and Substance Use Disorders 93%
- Bipolar disorder and cannabis use: a bidirectional two-sample Mendelian randomization study 92%
- Bidirectional sex-dependent regulation of α6 and β3 nicotinic acetylcholine receptors by protein kinase Cε 91%
Similar papers in this journal
- Specific diagnostic criteria identify those at high risk for progression from ‘preaddiction’ to severe alcohol use disorder 93%
- Impact of year-long cannabis use for medical symptoms on brain activation during cognitive processes 90%
- The associations of child screen time with psychiatric problems: the role of genetic confounding 90%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.