Effect of the C-reactive protein gene on risk and clinical characteristics of schizophrenia in winter-born individuals

Identification of genetic features that are associated with amplitude of low-frequency fluctuation changes in schizophrenia using omics analysis

Genetic risk for schizophrenia is thought to trigger variation in clinical features of schizophrenia, but biological processes associated with neuronal activity in brain regions remain elusive. In this study, gene expression features were mapped to various sub-regions of the brain by integrating low-frequency amplitude features and gene expression data from the schizophrenia brain and using gene co-expression network analysis of the Allen Transcriptome Atlas of the human brain from six donors to identify genetic features of brain regions and important associations with neuronal features. The results indicate that changes in the dynamic amplitude of low-frequency fluctuation (dALFF) are mainly associated with transcriptome signature factors such as cortical layer synthesis, immune response, and expanded membrane transport. Further modular disease enrichment analysis revealed that the same set of signature genes associated with dALFF levels was enriched for multiple neurological biological processes. Finally, genetic profiling of individual modules identified multiple core genes closely related to schizophrenia, also potentially associated with neuronal activity. Thus, this paper explores genetic features of brain regions in the schizophrenia closely related to low-frequency amplitude ratio levels based on imaging genetics, which suggests structural endophenotypes associated with schizophrenia.

Systematic review and meta-analysis: Season of birth and schizophrenia risk

OBJECTIVE

Winter birth has been hypothesized to be associated with increased schizophrenia risk for nearly a century. Major hypotheses regarding the potential etiological risk factors for schizophrenia such as vitamin D deficiency and virus exposure in utero are predicated based on the observation that risk of schizophrenia is higher in children born in winter months.

METHODS

We conducted a systematic review and meta-analysis to examine the association between season and month of birth and risk of schizophrenia. We further investigated this relationship stratified by hemisphere.

RESULTS

Forty-three studies spanning 30 countries and territories and 440,039 individuals with schizophrenia were included in this meta-analysis. Winter births were associated with a small but statistically significant increased risk of schizophrenia (OR 1.05, 95 % CI 1.03-1.07, p < 0.0001) and summer births were associated with a small but statistically significant decreased risk of schizophrenia (OR 0.96, 95 % CI 0.94-0.98, p = 0.0001). Stratified subgroup analysis demonstrated no significant difference between hemispheres in the risk of schizophrenia for either winter or summer births.

CONCLUSIONS

Analysis using birth month data demonstrated a clear seasonal trend towards increased risk of schizophrenia being associated with winter birth months and decreased risk of schizophrenia in summer-to-fall months in the Northern but not Southern Hemisphere. These data suggest a small-but-substantial increased risk of schizophrenia in winter birth month. Further research needs to examine potential etiologic causes for this association.

[Prognosis of the functional outcome of schizophrenia using a multigene panel]

OBJECTIVE

To compare the groups of schizophrenic patients with different levels of functional outcome and different frequency of risk variants in polymorphic loci of five candidate genes to create a multigene panel and to test its predictive ability for long-term outcome of the disease.

MATERIAL AND METHODS

According to the proposed typology, the patients included in the studies were divided into three groups, which differed in the level of social functioning. Group 1 was characterized by the highest level, in group 2 this indicator was significantly lower, and in group 3 the lowest. The multigenic panel included genes for serotonin receptor type 2a (5-HTR2A T102C), serotonin transporter (5-HTTLPR), C-reactive protein (CRP -717A>G), angiotensin II receptor type 1 (AGTR1 A1166C), and brain neurotrophic factor (BDNF Val66Met). A multi-gene risk score was calculated for each patient by summing the total number all his/her risk alleles. For each polymorphism, a score of 2 was assigned to homozygous high-risk genotypes, a score of 1 to heterozygous genotypes and a score of 0 to homozygous low-risk genotype. Accordingly, the multi-gene risk score for a patient could vary from 0 to 10 risk alleles.

RESULTS

A significant effect of the group on the multi-gene risk score was shown (p<0.0001). Between-group differences were significant as well (p<0.01). In group 1, there were no carriers of ≥6 risk alleles, and the number of carriers of less than 5 alleles exceeded 50%. In group 2, the number of carriers of ≥6 risk alleles was 19.4%, and in group 3 - 31.7%. Moreover, in these groups there were no carriers of 0-2 risk alleles, while in group 1 their number was 20.7%.

CONCLUSION

The multi-gene risk score predicts the level of functional outcome in patients with schizophrenia. In the case of a smaller number of risk alleles (0-4) in an individual, a favorable functional outcome can be predicted with a high probability in the long-term period of the disease.