The dopamine receptor D1 gene is associated with the length of interval between first heroin use and onset of dependence in Chinese Han heroin addicts.
- Authors
- Peng, Sufang; Du, Jiang; Jiang, Haifeng; Fu, Yingmei; Chen, Hanhui; Sun, Haiming; Wang, Dongxiang; Yu, Shunying; Zhao, Min
- Year
- 2013
- Journal
- Journal of neural transmission (Vienna, Austria : 1996)
- PMID
- 23661099
- DOI
- 10.1007/s00702-013-1029-6
Previous researches showed that the dopamine receptor D1 (DRD1) may play a critical role in drug dependence. This research aimed to determine whether DRD1 played a role in development of heroin dependence in Chinese heroin-dependent patients. 465 Chinese Han heroin-dependent subjects and 379 healthy controls were recruited in the Shanghai region. Five single-nucleotide-polymorphisms (SNPs) of the DRD1 gene were genotyped in all subjects. The results found that the frequencies of DRD1 SNP genotypes or haplotypes were not different between heroin-dependent patients and controls. Among heroin-dependent patients, subjects with rs5326CC and/or rs6882300AA genotypes develop to heroin-dependent more rapidly than those without rs5326CC and/or rs6882300AA genotypes. The results indicated that DRD1 gene polymorphism may not play an important role in the susceptibility of heroin dependence in the Chinese Han population, but it may be associated with the rapidity of heroin dependence development from first drug use.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Evidence of CNIH3 involvement in opioid dependence. | 2016 | 26239289 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare. | Soley N et al. | β | 2025 | β |
| Single Nucleotide Variants (SNVs) of the Mesocorticolimbic System Associated with Cardiovascular Diseases and Type 2 Diabetes: A Systematic Review. | Merzah M et al. | β | 2024 | β |
| High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial. | Moran M et al. | β | 2021 | β |
| Heroin delay discounting and impulsivity: Modulation by DRD1 genetic variation. | Moses TEH et al. | β | 2020 | β |
| Molecular Imaging of Opioid and Dopamine Systems: Insights Into the Pharmacogenetics of Opioid Use Disorders. | Burns JA et al. | β | 2019 | β |
| Dopamine receptor D4 promoter hypermethylation increases the risk of drug addiction. | Ji H et al. | β | 2018 | β |
| Introducing Precision Addiction Management of Reward Deficiency Syndrome, the Construct That Underpins All Addictive Behaviors. | Blum K et al. | β | 2018 | β |
| Methadone Dosage and Plasma Levels, SNPs of OPRM1 Gene and Age of First Drug Use Were Associated With Outcomes of Methadone Maintenance Treatment. | Peng S et al. | β | 2018 | β |
| Evidence of CNIH3 involvement in opioid dependence. | Nelson EC et al. | β | 2016 | β |
| Overlapping dopaminergic pathway genetic susceptibility to heroin and cocaine addictions in African Americans. | Levran O et al. | β | 2015 | β |
| Genetic Addiction Risk Score (GARS): molecular neurogenetic evidence for predisposition to Reward Deficiency Syndrome (RDS). | Blum K et al. | β | 2014 | β |