Analysis of the complement component C4 gene with schizophrenia subphenotypes.

BACKGROUND: The complement component C4 gene has been identified as a strong marker for schizophrenia (SCZ) risk. The C4 gene has a complex genetic structure consisting of variable structural elements (C4A, C4B, C4L, and C4S) and compound structural forms (C4AL, C4BL, C4AS and C4BS). In addition, the variations in C4 structural forms may have a direct or indirect effect on the brain expression level of C4A and C4B proteins. Previous studies have associated C4AL with higher brain C4A expression and sex-dimorphism of C4 between males and females was observed. STUDY DESIGN: A total of 613 patients with DSM-IV SCZ or schizoaffective disorder (SCZ-AFF) were recruited to investigate the relationship between C4 gene variants and clinical characteristics of SCZ (age of onset, symptom severity, and global assessment of functioning (GAF)). This study also explored the effect of sex on the association of C4 with SCZ. 434 patients were included in the final analyses after genetic quality control. RESULTS: We observed associations between C4 and clinical characteristics of SCZ (age of onset, symptom severity, GAF) and found significant differences when males and females were examined separately. CONCLUSION: Overall, our preliminary findings encourage future investigations of C4 in SCZ-related phenotypes, including antipsychotic response and side effects. The study sample was of moderate size; therefore, further studies in larger samples are needed to extend and validate these results.

Sex-dependent association study of complement C4 gene with treatment-resistant schizophrenia and hospitalization frequency.

The complement component 4 (C4) gene, codes for two isotypes, C4A and C4B, and can exist in long or short forms (C4L and C4S). The C4AL variant has been associated with elevated schizophrenia (SCZ) risk. Here, we investigated the relationship between C4 variation and clinical outcomes in SCZ. N = 434 adults with SCZ or schizoaffective disorder were included in this retrospective study. A three-step genotyping workflow was performed to determine C4 copy number variants. These variants were tested for association with clinical outcome measures, including treatment-resistant SCZ (TRS), number of hospitalizations (NOH), and symptom severity (PANSS). Sex and ancestry stratified analyses were performed. We observed a marginally significant association between C4S and TRS in males only, and a negative association between C4S and NOH in the total sample. C4AS had negative association with NOH in males and non-Europeans. Lastly, C4A copy numbers and C4A predicted brain expression showed negative association with NOH in males only. Our study provides further support for sex-specific effect of C4 on SCZ clinical outcomes, and also suggests that C4S and C4AS might have a protective effect against increased severity. C4 could potentially serve as a genetic biomarker in the future, however, more research is required.

Association study of the complement component C4 gene and suicide risk in schizophrenia.

Schizophrenia is a severe mental illness and a major risk factor for suicide, with approximately 50% of schizophrenia patients attempting and 10% dying from suicide. Although genetic components play a significant role in schizophrenia risk, the underlying genetic risk factors for suicide are poorly understood. The complement component C4 gene, an immune gene involved in the innate immune system and located in the major histocompatibility complex (MHC) region, has been identified to be strongly associated with schizophrenia risk. In addition, recent findings have also suggested that the MHC region has been associated with suicide risk across disorders, making C4 a potential candidate of interest for studying suicidality in schizophrenia patients. Despite growing interest in investigating the association between the C4 gene and schizophrenia, to our knowledge, no work has been done to examine the potential of C4 variants as suicide risk factors in patients with schizophrenia. In this study, we investigated the association between different C4 copy number variants and predicted C4 brain expression with suicidal outcomes (suicide attempts/suicidal ideation). We directly genotyped 434 schizophrenia patients to determine their C4A and C4B copy number variants. We found the C4AS copy number to be marginally and negatively associated with suicide risk, potentially being protective against suicide attempts (OR = 0.49; p = 0.05) and suicidal ideation (OR = 0.65; p = 0.07). Furthermore, sex-stratified analyses revealed that there are no significant differences between males and females. Our preliminary findings encourage additional studies of C4 and potential immune dysregulation in suicide.

Toward personalized medicine in schizophrenia: Genetics and epigenetics of antipsychotic treatment.

Schizophrenia is a complex psychiatric disorder where genetic, epigenetic, and environmental factors play a role in disease onset, course of illness, and treatment outcome. Pharmaco(epi)genetic research presents an important opportunity to improve patient care through prediction of medication side effects and response. In this narrative review, we discuss the current state of research and important progress of both genetic and epigenetic factors involved in antipsychotic response, over the past five years. The review is largely focused on the following frequently prescribed antipsychotics: olanzapine, risperidone, aripiprazole, and clozapine. Several consistent pharmacogenetic findings have emerged, in particular pharmacokinetic genes (primarily cytochrome P450 enzymes) and pharmacodynamic genes involving dopamine, serotonin, and glutamate neurotransmission. In addition to studies analysing DNA sequence variants, there are also several pharmacoepigenetic studies of antipsychotic response that have focused on the measurement of DNA methylation. Although pharmacoepigenetics is still in its infancy, consideration of both genetic and epigenetic factors contributing to antipsychotic response and side effects no doubt will be increasingly important in personalized medicine. We provide recommendations for next steps in research and clinical evaluation.