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Association of Genetic Variants of Dopamine and Serotonin In Schizophrenia
- Source :
- Archives of medical research. 51(1)
- Publication Year :
- 2019
-
Abstract
- Background Several studies indicated that antipsychotic treatment response and side effect manifestation can be different due to inter-individual variability in genetic variations. Aim of the study Here we perform a case-control study to explore a potential association between schizophrenia and variants within the antipsychotic drug molecular targets (DRD1, DRD2, DRD3, HTR2A, HTR6) and metabolizing enzymes (CYP2D6, COMT) genes in Armenian population including also analysis of their possible relationship with disease clinical symptoms. Methods A total of 18 SNPs was studied in patients with schizophrenia (n = 78) and healthy control subjects (n = 77) using MassARRAY genotyping. Results: We found that two studied genetic variants, namely DRD2 rs4436578*C and HTR2A rs6314*A are underrepresented in the group of patients compared to healthy subjects. After the correction for multiple testing, the rs4436578*C variant remained significant while the rs6314*A reported borderline significance. No significant differences in minor allele frequencies for other studied variants were identified. Also, a relationship between the genotypes and age of onset as well as disease duration has been detected. Conclusions The DRD2 rs4436578*C genetic variant might have protective role against schizophrenia, at least in Armenians.
- Subjects :
- Adult
Male
Serotonin
Rs6314
Genotype
Dopamine
Population
Single-nucleotide polymorphism
Bioinformatics
Catechol O-Methyltransferase
Polymorphism, Single Nucleotide
Receptors, Dopamine
Young Adult
Gene Frequency
Genetic variation
medicine
Humans
Genetic Predisposition to Disease
education
Genotyping
Genetic Association Studies
Aged
education.field_of_study
business.industry
General Medicine
Middle Aged
medicine.disease
Minor allele frequency
Cytochrome P-450 CYP2D6
Schizophrenia
Case-Control Studies
Receptors, Serotonin
Female
Age of onset
business
Metabolic Networks and Pathways
Antipsychotic Agents
Subjects
Details
- ISSN :
- 18735487
- Volume :
- 51
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Archives of medical research
- Accession number :
- edsair.doi.dedup.....3cc37570103d024f141fd16ac970e98f