Association of dopamine D1 receptor gene polymorphism with schizophrenia: a meta-analysis

Pan, Yu‐Qing; Yao, Jun; Wang, Baojie

doi:10.2147/ndt.s63776

Cited by 10 publications

(5 citation statements)

References 41 publications

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“…Furthermore, polymorphisms in DRD1 have been linked to ICDs, neuropsychiatric disease, problem gambling, addiction, and cognitive functioning in non-PD populations ( 31 , 32 ). Risk variants of rs5326 have been associated with a decreased DRD1 expression, a reduced cognitive functioning in both healthy males and bipolar patients, and an increased risk of neuropsychiatric disorders, such as schizophrenia and heroin addiction ( 33 – 36 ).…”

Section: Discussionmentioning

confidence: 99%

Dopaminergic and Opioid Pathways Associated with Impulse Control Disorders in Parkinson’s Disease

et al. 2018

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IntroductionImpulse control disorders (ICDs) are frequent non-motor symptoms in Parkinson’s disease (PD), with potential negative effects on the quality of life and social functioning. ICDs are closely associated with dopaminergic therapy, and genetic polymorphisms in several neurotransmitter pathways may increase the risk of addictive behaviors in PD. However, clinical differentiation between patients at risk and patients without risk of ICDs is still troublesome. The aim of this study was to investigate if genetic polymorphisms across several neurotransmitter pathways were associated with ICD status in patients with PD.MethodsWhole-exome sequencing data were available for 119 eligible PD patients from the Norwegian ParkWest study. All participants underwent comprehensive neurological, neuropsychiatric, and neuropsychological assessments. ICDs were assessed using the self-report short form version of the Questionnaire for Impulsive-Compulsive Disorders in PD. Single-nucleotide polymorphisms (SNPs) from 17 genes were subjected to regression with elastic net penalization to identify candidate variants associated with ICDs. The area under the curve of receiver-operating characteristic curves was used to evaluate the level of ICD prediction.ResultsAmong the 119 patients with PD included in the analysis, 29% met the criteria for ICD and 63% were using dopamine agonists (DAs). Eleven SNPs were associated with ICDs, and the four SNPs with the most robust performance significantly increased ICD predictability (AUC = 0.81, 95% CI 0.73–0.90) compared to clinical data alone (DA use and age; AUC = 0.65, 95% CI 0.59–0.78). The strongest predictive factors were rs5326 in DRD1, which was associated with increased odds of ICDs, and rs702764 in OPRK1, which was associated with decreased odds of ICDs.ConclusionUsing an advanced statistical approach, we identified SNPs in nine genes, including a novel polymorphism in DRD1, with potential application for the identification of PD patients at risk for ICDs.

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Section: Discussionmentioning

confidence: 99%

Dopaminergic and Opioid Pathways Associated with Impulse Control Disorders in Parkinson’s Disease

et al. 2018

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“…Allele groups were defined as in (ie, inserted) and de (ie, deleted). In the dominant model, 34 , 35 the pooled OR using a random effects model was 1.083 ( P z =0.377, 95% CI =0.907–1.293) with a power of 0.154 ( Table 3 ). No association was found in subgroup analysis by ethnicity or by source of controls ( Table 4 ).…”

Section: Resultsmentioning

confidence: 99%

“…In a random model, a pooled analysis was conducted (1,912 cases and 1,836 controls) to evaluate the relationship between genotype L/L of the 120 bp TR and schizophrenia risk ( Table 6 and Figures S8–S12). In the recessive model, 34 , 35 genotype L/L was found to be a potential risk factor for schizophrenia ( P z =0.004, OR =1.275, 95% CI =1.081–1.504) with a power of 0.959 ( Table 3 ). Findings from subgroup analysis indicated significant associations in East Asian ( P z =0.002, OR =1.317, 95% CI =1.108–1.565) and hospital-based subgroups ( P z =0.002, OR =1.319, 95% CI =1.134–1.708) ( Table 4 ).…”

Section: Resultsmentioning

confidence: 99%

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A meta-analysis of data associating <em>DRD4 </em>gene polymorphisms with schizophrenia

Zhang

et al. 2018

NDT

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To explore the association between DRD4 polymorphisms and schizophrenia risk, a meta-analysis was carried out with 41 case–control articles. Specifically, we included 28 articles (5,735 cases and 5,278 controls) that pertained to the 48 bp variable number tandem repeat (VNTR) polymorphism, nine articles (1,517 cases and 1,746 controls) that corresponded to the 12 bp tandem repeat (TR), six articles (1,912 cases and 1,836 controls) that addressed the 120 bp TR, 10 articles (2,927 cases and 2,938 controls) that entailed the −521 C>T polymorphism, six articles (1,735 cases and 1,724 controls) that pertained to the −616 C>G polymorphism, and four articles (1,191 cases and 1,215 controls) that involved the −376 C>T polymorphism. Pooled analysis, subgroup analysis, and sensitivity analysis were performed, and the data were visualized by means of forest and funnel plots. Results of pooled analysis indicated that the −521 CC variant (Pz=0.009, odds ratio [OR] =1.218, 95% confidence interval [CI] =1.050–1.413) and genotype L/L (ie, long allele) of the 120 bp TR were risk factors of schizophrenia (Pz=0.004, OR =1.275, 95% CI =1.081–1.504). The 48 bp VNTR, the 12 bp TR, the −616 C>G polymorphism, and the −376 C>T polymorphism were not associated with schizophrenia. Additional research is warranted to explore the association between polymorphisms of DRD4 and schizophrenia risk.

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“…In humans, two SNPs, i.e., rs4532 (A-48G) and rs5326 (G-94A), in the 5'UTR of the DRD1 gene have been identified. The associations of these SNPs with increased risks of SCZ are controversial; a meta-analysis of the SZGene database reported no association (Allen et al, 2008), but another meta-analysis of the literatures reported a weak association with the DRD1 gene variant rs5326 (Pan et al, 2014).…”

Section: Damentioning

confidence: 99%

Biological mechanisms underlying evolutionary origins of psychotic and mood disorders

Goto

Lee

Yamaguchi

et al. 2016

Neuroscience Research

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Psychotic and mood disorders are brain dysfunctions that are caused by gene environment interactions. Although these disorders are disadvantageous and involve behavioral phenotypes that decrease the reproductive success of afflicted individuals in the modern human society, the prevalence of these disorders have remained constant in the population. Here, we propose several biological mechanisms by which the genes associated with psychotic and mood disorders could be selected for in specific environmental conditions that provide evolutionary bases for explanations of when, why, and where these disorders emerged and have been maintained in humans. We discuss the evolutionary origins of psychotic and mood disorders with specific focuses on the roles of dopamine and serotonin in the conditions of social competitiveness/hierarchy and maternal care and other potential mechanisms, such as social network homophily and symbiosis.

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Association of dopamine D1 receptor gene polymorphism with schizophrenia: a meta-analysis

Cited by 10 publications

References 41 publications

Dopaminergic and Opioid Pathways Associated with Impulse Control Disorders in Parkinson’s Disease

Dopaminergic and Opioid Pathways Associated with Impulse Control Disorders in Parkinson’s Disease

A meta-analysis of data associating <em>DRD4 </em>gene polymorphisms with schizophrenia

Biological mechanisms underlying evolutionary origins of psychotic and mood disorders

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