Keywords
Schizophrenia, NT5C2, DRD2, Genetic polymorphism, Positive and Negative Syndrome Scale (PANSS)
This article is included in the Genomics and Genetics gateway.
Schizophrenia is a highly heritable psychiatric disorder with a complex genetic architecture. Variants in NT5C2 and DRD2 have been implicated in schizophrenia susceptibility; however, their relationships with symptom severity and cognitive impairment remain inconsistent across different ethnic populations. This study investigated the association of NT5C2 rs11191580 and DRD2 − 141C Ins/Del polymorphisms with schizophrenia, psychopathology, and cognitive function in the Batak population of North Sumatra, Indonesia.
A hospital-based case–control study was conducted involving 50 Batak patients with schizophrenia and 50 ethnically matched healthy controls. Genotyping of NT5C2 rs11191580 and DRD2 − 141C Ins/Del polymorphisms was performed using polymerase chain reaction. Psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS).
Significant differences in genotype distributions were observed between schizophrenia patients and healthy controls for NT5C2 rs11191580 (p = 0.022) and DRD2 − 141C Ins/Del (p < 0.001). Neither polymorphism was associated with PANSS severity categories or PANSS total and subscale scores (all p > 0.05).
Both NT5C2 rs11191580 and DRD2 − 141C Ins/Del polymorphisms were associated with schizophrenia susceptibility in the Batak population but not with symptom severity.
Schizophrenia, NT5C2, DRD2, Genetic polymorphism, Positive and Negative Syndrome Scale (PANSS)
Schizophrenia is a chronic and severe psychiatric disorder characterized by disturbances in perception, thought processes, emotions, and behavior. It affects approximately 1% of the global population and contributes substantially to disability, social dysfunction, and healthcare burden worldwide.1 Clinical manifestations are heterogeneous and commonly categorized into positive symptoms, negative symptoms, cognitive impairment, and affective disturbances. The severity of these symptoms varies considerably among individuals, suggesting that genetic factors may contribute not only to disease susceptibility but also to clinical presentation and symptom severity.2
Accumulating evidence indicates that schizophrenia has a strong genetic component, with heritability estimates approaching 80%. Genome-wide association studies (GWAS) have identified numerous susceptibility loci associated with schizophrenia. Among these, the rs11191580 polymorphism located near the NT5C2 gene has emerged as a significant genetic variant.3,4 The NT5C2 gene encodes cytosolic 5′-nucleotidase II, an enzyme involved in purine metabolism and neuronal cellular function. Several GWAS and replication studies have demonstrated an association between rs11191580 and schizophrenia susceptibility across different populations.5 Furthermore, a study in a South Chinese Han population reported that rs11191580 was associated not only with schizophrenia risk but also with symptom severity, particularly negative symptoms and total Positive and Negative Syndrome Scale (PANSS) scores.4
The dopaminergic hypothesis remains one of the most influential biological theories explaining schizophrenia pathogenesis. Dopamine dysregulation, particularly involving dopamine D2 receptors, has been implicated in the development of psychotic symptoms and constitutes the primary target of antipsychotic medications. The dopamine receptor D2 gene (DRD2) contains several functional polymorphisms, including the promoter-region variant -141C insertion/deletion (rs1799732). This polymorphism influences transcriptional activity and receptor expression, potentially affecting dopaminergic neurotransmission. Previous studies have suggested that DRD2 polymorphisms may influence schizophrenia susceptibility, symptom profiles, treatment response, and antipsychotic resistance, although findings remain inconsistent across ethnic populations.6,7
Genetic associations in schizophrenia often demonstrate substantial ethnic variation due to differences in allele frequencies, linkage disequilibrium patterns, and gene-environment interactions. Consequently, findings observed in European, Chinese, Japanese, or other populations may not be directly applicable to Indonesian ethnic groups. The Batak population of North Sumatra represents a genetically distinct ethnic group with limited psychiatric genetic research. To date, data regarding the influence of rs11191580 NT5C2 and DRD2-141C Ins/Del polymorphisms on schizophrenia symptom severity among Batak individuals remain scarce.
Understanding the relationship between these genetic variants and clinical manifestations may provide insight into the biological mechanisms underlying symptom heterogeneity in schizophrenia. Such knowledge could contribute to the development of precision psychiatry approaches, including improved prognostic assessment and individualized treatment strategies. Therefore, this study aims to investigate the association between rs11191580 NT5C2 and DRD2-141C Ins/Del polymorphisms and schizophrenia symptom severity among Batak patients diagnosed with schizophrenia. We hypothesize that these genetic variants are associated with differences in PANSS scores and may influence the severity of positive, negative, and general psychopathology symptoms in this population.
This study employed a hospital-based genetic association design conducted at Prof. M. Ildrem Psychiatric Hospital, Medan, Indonesia, between February and August 2024. The primary objective was to investigate the association of rs11191580 polymorphism in the NT5C2 gene and -141C Ins/Del polymorphism in the DRD2 gene with schizophrenia symptom severity among Batak patients diagnosed with schizophrenia. Eligible participants were ethnic Batak individuals aged 20–50 years with a diagnosis of schizophrenia according to the International Classification of Diseases, Tenth Revision (ICD-10, F20).8 To minimize population stratification bias, only individuals reporting Batak ancestry for at least two generations were included. A healthy control group matched by age, sex, and ethnicity was recruited for comparison of genotype and allele frequencies. Control subjects were screened using the MMPI to exclude psychiatric disorders. The study protocol was approved by the Health Research Ethics Committee of Universitas Sumatera Utara (Approval No. 99/KEPK/USU/2025). All participants provided written informed consent before enrollment. Genetic and clinical information were anonymized using unique study identification codes and stored in password-protected databases accessible only to authorized investigators.
Participants in the schizophrenia group were recruited consecutively from inpatient psychiatric wards. Eligible subjects were men and women aged 20–50 years who fulfilled the diagnostic criteria for schizophrenia according to the International Classification of Diseases, Tenth Revision (ICD-10; F20), confirmed through a structured psychiatric interview using the Mini International Neuropsychiatric Interview (MINI).9 To reduce population stratification, only individuals who self-reported Batak ethnicity and whose parents and grandparents were also of Batak ancestry were included. Patients were required to be in a clinically stable phase and capable of participating in psychiatric and cognitive assessments. Individuals with a history of epilepsy, traumatic brain injury, thyroid disease, diabetes mellitus, autoimmune disorders, substance use disorders other than nicotine or caffeine, or comorbid psychiatric conditions were excluded from the study.
Demographic and clinical data including age, sex, duration of illness, age at onset, family history of psychiatric disorders, educational level, smoking status, and antipsychotic treatment were collected through structured interviews and medical record review. Psychopathology was evaluated using the Positive and Negative Syndrome Scale (PANSS). Total PANSS score and subscale scores (positive symptoms, negative symptoms, and general psychopathology) were recorded. PANSS assessments were performed by trained psychiatrists who had undergone inter-rater reliability calibration prior to study initiation.
Peripheral venous blood (5 mL) was collected into EDTA-containing tubes. Genomic DNA was extracted from peripheral blood leukocytes using the Promega Genomic DNA Purification Kit (Promega Corporation, Madison, WI, USA) according to the manufacturer’s protocol. DNA concentration and purity were assessed spectrophotometrically using absorbance ratios at 260/280 nm. Samples with A260/A280 ratios between 1.8 and 2.0 were considered acceptable for genotyping. Genotyping of rs11191580 was performed using polymerase chain reaction (PCR) amplification on the Applied Biosystems VeritiPro™ Thermal Cycler. Primer sequences were:
PCR products were visualized by agarose gel electrophoresis. Approximately 5% of randomly selected samples were re-genotyped for quality control. Concordance between initial and repeated genotyping exceeded 99%.
The DRD2 promoter polymorphism (-141C Ins/Del) was amplified using PCR with the following primers:
Amplified products underwent restriction fragment length polymorphism (PCR-RFLP) analysis using BstNI restriction enzyme. Digested fragments were separated on 8% agarose gels and visualized under ultraviolet illumination following ethidium bromide staining.
The minimum sample size was calculated using the formula for unmatched case-control genetic association studies with α = 0.05 and power = 80%. Based on previously reported allele frequencies of rs11191580 and DRD2-141C Ins/Del polymorphisms, the minimum sample size required was 50 participants per group. To account for possible genotyping failure and missing data, an additional 10% recruitment target was established.
Statistical analyses were performed using SPSS version 26.0. Continuous variables were presented as mean ± standard deviation or median (interquartile range), while categorical variables were presented as frequencies and percentages. Genotype distributions were tested for Hardy–Weinberg equilibrium (HWE) using the chi-square goodness-of-fit test among controls. Differences in genotype and allele frequencies between schizophrenia patients and controls were analyzed using chi-square or Fisher’s exact tests. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Associations between rs11191580 and DRD2 genotypes and PANSS scores were examined using analysis of covariance (ANCOVA) and multivariable linear regression models adjusted for age, sex, duration of illness, smoking status, family history of schizophrenia, and antipsychotic dosage. Genetic effects were evaluated under additive, dominant, and recessive inheritance models.
A total of 100 Batak individuals were enrolled, comprising 50 patients with schizophrenia and 50 healthy controls. The schizophrenia group consisted predominantly of males (66%), with a mean age of 39.08 ± 10.64 years. Batak Toba was the most common ethnic subgroup (56%), followed by Batak Karo (26%). Most patients had completed secondary education (50%) and had experienced untreated psychosis for more than six months before receiving treatment (66%). In the control group, females accounted for 56% of participants, and the mean age was identical to that of the schizophrenia group (39.08 ± 10.64 years). Among the healthy controls, 56% were female, with a mean age of 39.08 ± 10.64 years. Batak Toba was the predominant ethnic subgroup, accounting for 70% of participants. More than half of the participants were unmarried (52%), and all had completed university-level education (100%). Detailed demographic characteristics are presented in Table 1.
Table 2 presents the distribution of the NT5C2 and DRD2 gene polymorphisms among patients with schizophrenia and healthy controls. A significant difference was observed in the distribution of the NT5C2 polymorphism between the two groups (p = 0.022). The CC genotype was the most prevalent genotype in both groups, occurring in 90% of patients with schizophrenia and all healthy controls (100%). The TC genotype was identified in 10% of schizophrenia patients but was absent in the control group, while the TT genotype was not detected in either group. A highly significant difference was also found in the distribution of the DRD2 polymorphism between schizophrenia patients and healthy controls (p < 0.001). The Ins/Ins genotype was the predominant genotype in the control group (90%) but was less frequent among schizophrenia patients (54%). Conversely, the Ins/Del genotype was considerably more common in schizophrenia patients (42%) than in controls (6%). The Del/Del genotype was observed only in schizophrenia patients (4%) and was absent in the control group.
Table 3 summarizes the association between NT5C2 polymorphisms and schizophrenia symptom severity as assessed by the PANSS. No significant association was observed between NT5C2 genotype and overall PANSS severity category (mild, moderate, or severe) (p = 0.389). Among patients carrying the CC genotype, 15.6% were classified as having mild symptoms, 48.9% as moderate, and 35.6% as severe. Patients with the TC genotype showed a similar distribution, with 20% classified as mild and 40% each as moderate and severe. No patients with the TT genotype were identified in the study population. Comparison of PANSS subscale scores also demonstrated no statistically significant differences between the TC and CC genotypes. The mean total PANSS score was 91.8 ± 42.8 for the TC genotype and 71.24 ± 31.9 for the CC genotype (p = 0.332). Likewise, no significant differences were found for psychopathology (p = 0.430), positive symptom (p = 0.059), or negative symptom (p = 0.950) scores. Although patients with the TC genotype exhibited higher mean positive symptom scores than those with the CC genotype (20.2 ± 15.1 vs. 17.78 ± 10.2), this difference did not reach statistical significance.
Table 4 presents the association between DRD2 polymorphisms and schizophrenia symptom severity. No significant association was observed between DRD2 genotype and PANSS severity classification (p = 0.879). Among patients with the Ins/Ins genotype, 29.6% had mild symptoms, 48.1% had moderate symptoms, and 22.2% had severe symptoms. In the Ins/Del group, 38.1% were classified as having mild symptoms, 14.3% as moderate, and 47.6% as severe. Of the two patients with the Del/Del genotype, one (50%) had moderate symptoms and one (50%) had severe symptoms, while none were classified as having mild symptoms. No statistically significant differences were found in PANSS total or subscale scores among the DRD2 genotype groups. The mean total PANSS scores were 79.1 ± 37.07 for the Ins/Ins genotype, 67.3 ± 27.26 for the Ins/Del genotype, and 57.5 ± 37.47 for the Del/Del genotype (p = 0.451). Similarly, psychopathology (p = 0.708), positive symptom (p = 0.266), and negative symptom (p = 0.279) scores did not differ significantly across the three genotype groups. These findings suggest that DRD2 polymorphisms were not associated with the severity of schizophrenia symptoms as measured by the PANSS in the present study.
This study included 100 ethnically homogeneous Batak individuals from North Sumatra, comprising 50 patients with schizophrenia and 50 healthy controls. The use of a genetically homogeneous population represents a major strength because population stratification is a recognized source of bias in genetic association studies. By minimizing ethnic heterogeneity, the observed associations between genetic polymorphisms and schizophrenia are less likely to be confounded by differences in ancestral allele frequencies.
The present study demonstrated a significant association between the NT5C2 rs11191580 polymorphism and schizophrenia in the Batak population. The heterozygous TC genotype was identified exclusively among patients with schizophrenia, whereas all healthy controls carried the CC genotype. This distinct genotype distribution suggests that the minor T allele may confer increased susceptibility to schizophrenia within this ethnic population.
These findings are consistent with recent genome-wide association studies that identified chromosome 10q24.32, which harbors NT5C2, as a susceptibility locus for schizophrenia. NT5C2 encodes cytosolic 5′-nucleotidase II, an enzyme involved in intracellular purine metabolism and nucleotide homeostasis. Beyond its metabolic function, NT5C2 participates in adenosine signaling, glutamatergic neurotransmission, neuronal differentiation, and neuroinflammatory pathways, all of which have been implicated in the pathophysiology of schizophrenia.10,11
Some studies further support this biological mechanism. Reduced NT5C2 expression has been shown to induce schizophrenia-like behavioral abnormalities, impaired synaptic electrophysiological function, and increased sensitivity to dopaminergic stimulation in animal models. The concordance between genome-wide association studies, experimental findings, and the present clinical observations strengthens the hypothesis that NT5C2 contributes to schizophrenia susceptibility. Therefore, rs11191580 may represent a promising population-specific genetic marker for schizophrenia among individuals of Batak ancestry.4
Similarly, this study demonstrated a significant association between the DRD2 − 141C Ins/Del polymorphism and schizophrenia. Patients with schizophrenia exhibited a substantially higher frequency of the Ins/Del genotype, whereas the Ins/Ins genotype predominated among healthy controls. These findings further support the dopamine hypothesis, which proposes that dysregulated dopaminergic neurotransmission plays a central role in schizophrenia pathophysiology.
The −141C Ins/Del polymorphism is located within the promoter region of DRD2 and has been shown to influence transcriptional activity. Functional studies have demonstrated that the deletion allele reduces promoter activity, resulting in decreased expression of dopamine D2 receptors in the prefrontal cortex and striatum, two regions critically involved in executive function, reward processing, and psychosis. Reduced receptor expression may contribute to altered dopaminergic signaling and increase vulnerability to schizophrenia.12,13
The present findings are also consistent with previous studies reporting a significant association between the DRD2 − 141C Ins/Del polymorphism and schizophrenia in Asian populations. The magnitude of association observed in this study may reflect the relatively homogeneous genetic background of the Batak population, suggesting that ethnic-specific allele frequencies or gene–environment interactions contribute to disease susceptibility. These findings highlight the importance of conducting genetic association studies within well-characterized local populations rather than extrapolating data from genetically heterogeneous cohorts.14
Interestingly, despite the observed associations with schizophrenia susceptibility, neither NT5C2 nor DRD2 polymorphisms were significantly associated with PANSS severity or its individual symptom domains. Patients carrying different genotypes demonstrated comparable total PANSS scores, as well as positive symptom, negative symptom, and general psychopathology scores. These findings suggest that although these variants may contribute to disease susceptibility, they are unlikely to exert a major influence on clinical severity after disease onset.
The absence of genotype–phenotype associations may be explained by several factors. First, schizophrenia symptom severity is a highly polygenic trait influenced by numerous common genetic variants, each contributing only a modest effect.15 Second, clinical manifestations are substantially modified by environmental exposures, illness duration, antipsychotic treatment, medication adherence, and psychosocial factors, which may overshadow the contribution of individual polymorphisms.16 Third, the relatively small sample size limits statistical power to detect modest genetic effects on quantitative clinical phenotypes. Consequently, larger multicenter studies incorporating polygenic risk scores, transcriptomic analyses, and longitudinal clinical assessments are needed to further elucidate the contribution of these variants to disease progression and treatment response.
This study has several limitations. The relatively small sample size may have limited the statistical power to detect modest genetic effects, particularly in the analysis of genotype–phenotype associations with PANSS scores. In addition, the cross-sectional case–control design precludes causal inference regarding the relationship between NT5C2 and DRD2 polymorphisms and schizophrenia. Only two candidate polymorphisms were investigated, whereas schizophrenia is a highly polygenic disorder influenced by multiple genetic variants and gene–environment interactions. Although the use of an ethnically homogeneous Batak population reduced population stratification and strengthened the internal validity of the genetic association analysis, the findings may not be directly generalizable to other ethnic populations. Furthermore, functional studies were not performed to elucidate the biological mechanisms underlying the observed associations. Therefore, larger multicenter studies involving diverse populations and functional genomic analyses are warranted to validate and expand upon the present findings.
This study demonstrated that the NT5C2 rs11191580 and DRD2 − 141C Ins/Del polymorphisms were significantly associated with schizophrenia susceptibility in the Batak population, suggesting that both variants may contribute to genetic predisposition to the disorder. However, neither polymorphism was associated with schizophrenia symptom severity as measured by PANSS scores. These findings highlight the potential role of NT5C2 and DRD2 as genetic susceptibility markers for schizophrenia while suggesting a limited contribution to clinical symptom severity.
The authors used ChatGPT (GPT-5.5, OpenAI) solely for grammar and language editing to improve the clarity and readability of the manuscript. The AI tool was not used to generate, interpret, or analyze scientific content. The authors reviewed and edited all outputs and take full responsibility for the final content of the manuscript.
The de-identified raw data supporting the findings of this study are publicly available in Figshare at DOI: 10.6084/m9.figshare.32809355.17 The dataset includes the data necessary to reproduce the analyses reported in this article. Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
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