Developments in schizophrenia genetics: from linkage to microchips, deletions and duplications

Lessons Learned From Parsing Genetic Risk for Schizophrenia Into Biological Pathways

The clinically heterogeneous presentation of schizophrenia is compounded by the heterogeneity of risk factors and neurobiological correlates of the disorder. Genome-wide association studies in schizophrenia have uncovered a remarkably high number of genetic variants, but the biological pathways they impact upon remain largely unidentified. Among the diverse methodological approaches employed to provide a more granular understanding of genetic risk for schizophrenia, the use of biological labels, such as gene ontologies, regulome approaches, and gene coexpression have all provided novel perspectives into how genetic risk translates into the neurobiology of schizophrenia. Here, we review the salient aspects of parsing polygenic risk for schizophrenia into biological pathways. We argue that parsed scores, compared to standard polygenic risk scores, may afford a more biologically plausible and accurate physiological modeling of the different dimensions involved in translating genetic risk into brain mechanisms, including multiple brain regions, cell types, and maturation stages. We discuss caveats, opportunities, and pitfalls inherent in the parsed risk approach.

Monocyte count in schizophrenia and related disorders: a systematic review and meta-analysis

OBJECTIVE

Increasing evidence suggests that immunological and inflammatory dysfunctions may play an important role in predisposition, onset, and progression of schizophrenia and related psychosis. The activation of cells of the mononuclear phagocyte system, especially microglia and monocytes, has been reported in schizophrenia. We carried out this systematic review and meta-analysis to investigate if there are significant differences in monocyte count comparing healthy controls with people suffering from schizophrenia and related disorders.

METHODS

We searched main electronic databases; nine records met all our criteria and were included in the meta-analysis. Meta-analyses based on random effects models have been carried out generating pooled standardised mean differences (SMDs) of monocyte count in peripheral blood between schizophrenia and related psychosis and healthy controls. Heterogeneity was estimated. Relevant sensitivity and subgroup analyses were conducted.

RESULTS

Patients showed higher monocyte count as compared with healthy control (SMD = 0.393; p = 0.001). Heterogeneity across studies was from moderate to high (I2 = 65.952%); sensitivity analysis leaving out two studies responsible for most of the heterogeneity showed a slightly higher SMD. Subgroup analyses confirmed this result, showing no significant differences in the effect size across different study characteristics.

CONCLUSIONS

Monocyte count can be considered an indirect marker of microglia activation in the central nervous system. Thus, the observed higher monocyte count in patients could be considered as a possible peripheral marker of microglia's activation in schizophrenia disorder.

Genetics of Schizophrenia: Overview of Methods, Findings and Limitations

Genetics constitute a crucial risk factor to schizophrenia. In the last decade, molecular genetic research has produced novel findings, infusing optimism about discovering the biological roots of schizophrenia. However, the complexity of the object of inquiry makes it almost impossible for non-specialists in genetics (e.g., many clinicians and researchers) to get a proper understanding and appreciation of the genetic findings and their limitations. This study aims at facilitating such an understanding by providing a brief overview of some of the central methods and findings in schizophrenia genetics, from its historical origins to its current status, and also by addressing some limitations and challenges that confront this field of research. In short, the genetic architecture of schizophrenia has proven to be highly complex, heterogeneous and polygenic. The disease risk is constituted by numerous common genetic variants of only very small individual effect and by rare, highly penetrant genetic variants of larger effects. In spite of recent advances in molecular genetics, our knowledge of the etiopathogenesis of schizophrenia and the genotype-environment interactions remain limited.

Chemokine gene variants in schizophrenia

Background Chemokines are known to play a major role in driving inflammation and immune responses in several neuroinflammatory diseases, including multiple sclerosis, Alzheimer's disease and Parkinson's disease. Inflammation has also been implicated in the pathogenesis of schizophrenia. Aim We aimed to investigate a potential link between chemokines and schizophrenia and analyze the role of MCP-1-A2518G, SDF-1-3'A, CCR5-delta32, CCR5-A55029G, CXCR4-C138T and CCR2-V64I gene polymorphisms in the Turkish population. Methods Genotyping was conducted by PCR-RFLP based on 140 patients and 123 unrelated healthy controls to show the relation between chemokine gene variants and schizophrenia risk. Results Frequencies of CCR5-A55029G A genotypes and CCR5-A55029G AG genotypes were found higher in patients than the controls and even also CCR2-V64I WT: CCR5-A55029G A and CCR2-V64I 64I: CCR5-A55029G A haplotypes significantly associated according to Bonferroni correction. However, no significant association was found for any of the other polymorphisms with the risk of schizophrenia. Conclusions Our findings suggest that CCR5-A55029G polymorphisms and CCR2-V64I WT: CCR5-A55029G A and CCR2-V64I 64I: CCR5-A55029G A haplotypes might have association with schizophrenia pathogenesis.