trialregister.nl Identifier: NTR2118.

Several lines of evidence, including expression analyses, brain imaging and genetic studies suggest that the integrity of myelin is disturbed in schizophrenia patients. In this study, we first reconstructed a pathway of 138 myelin-related genes, all involved in myelin structure, composition, development or maintenance. Then we performed a two-stage association analysis on these 138 genes using 771 single nucleotide polymorphisms (SNPs). Analysis of our data from 310 cases vs 880 controls demonstrated association of 10 SNPs from six genes. Specifically, we observed highly significant P-values for association in PIK4CA (observed P = 6.1 Â 10 À6 ). These findings remained significant after Bonferroni correction for 771 tests. The PIK4CA gene is located in the chromosome 22q11 deletion syndrome region, which is of particular interest because it has been implicated in schizophrenia. We also report weak association of SNPs in PIK3C2G, FGF1, FGFR1, ARHGEF10 and PSAP (observed Pp0.01). Our approach-of screening genes involved in a particular pathway for association-resulted in identification of several, mostly novel, genes associated with the risk of developing schizophrenia in the Dutch population.

Background: Over the last century, especially during the latter half, the prevalence of the diagnosis of catatonic schizophrenia decreased considerably. Several explanations for this phenomenon have been put forward. Sampling and Methods: The present study investigated the frequency of the diagnosis of catatonic schizophrenia in a large sample of admitted psychiatric patients (n = 19,309). In addition, the presence of catatonic symptoms was studied in a sample of patients with schizophrenia (n = 701) and in a group of consecutively admitted psychotic patients (n = 139). In these two groups the effect of the diagnostic procedures on the recognition of catatonia was examined. Results: The diagnosis of catatonic schizophrenia dropped from 7.8% in 1980–1989 to 1.3% in 1990–2001 (p < 0.001). In addition, a possible under-diagnosis of catatonic schizophrenia was found in an independent sample of patients with schizophrenia. Application of a systematic catatonia rating scale in patients admitted with acute psychosis identified a bimodally distributed catatonic dimension. At least 18% of these patients fulfilled the criteria for catatonia. Interestingly, the catatonic subgroup used atypical antipsychotic compounds more frequently (p < 0.05). Conclusions: The results suggest that changes in diagnostic criteria and the diagnostic procedure itself are responsible for the under-recognition of catatonia.

Several putative schizophrenia susceptibility genes have recently been reported, but it is not clear whether these genes are associated with schizophrenia in general or with specific disease subtypes. In a previous study, we found an association of the neuregulin 1 (NRG1) gene with non-deficit schizophrenia only. We now report an association study of four schizophrenia candidate genes in patients with and without deficit schizophrenia, which is characterized by severe and enduring negative symptoms. Single-nucleotide polymorphisms (SNPs) were genotyped in the DTNBP1 (dysbindin), G72/G30 and RGS4 genes, and the relatively unknown PIP5K2A gene, which is located in a region of linkage with both schizophrenia and bipolar disorder. The sample consisted of 273 Dutch schizophrenia patients, 146 of whom were diagnosed with deficit schizophrenia and 580 controls. The strongest evidence for association was found for the A-allele of SNP rs10828317 in the PIP5K2A gene, which was associated with both clinical subtypes (P = 0.0004 in the entire group; non-deficit P = 0.016, deficit P = 0.002). Interestingly, this SNP leads to a change in protein composition. In RGS4, the G-allele of the previously reported SNP RGS4-1 (single and as part of haplotypes with SNP RGS4-18) was associated with non-deficit schizophrenia (P = 0.03) but not with deficit schizophrenia (P = 0.79). SNPs in the DTNBP1 and G72/G30 genes were not significantly associated in any group. In conclusion, our data provide further evidence that specific genes may be involved in different schizophrenia subtypes and suggest that the PIP5K2A gene deserves further study as a general susceptibility gene for schizophrenia.

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Genetic studies of clinically defined subgroups of schizophrenia patients may reduce the phenotypic heterogeneity of schizophrenia and thus facilitate the identification of genes that confer risk to this disorder. Several latent class analyses have provided subgroups of psychotic disorders that show considerable consistency over these studies. The presence or absence of mood symptoms was found to contribute most to the delineations of these subgroups. In this study we used six previously published subtypes of psychosis derived from latent class analysis of a large sample of psychosis patients. In 280 schizophrenia patients and 525 healthy controls we investigated the associations of these subgroups with myelin related genes. After bonferroni correction we found an association of the glycoprotein M6A gene (GPM6A) with the subgroup of schizophrenia patients with high levels of depression (P-corrected = 0.006). Borderline association of the microtubulin associated protein tau (MAPT) with a primarily non-affective group of schizophrenia patients (P-corrected = 0.052) was also observed. GPM6A modulates the influence of stress on the hippocampus in animals. Thus our findings could suggest that GMP6A plays a role in the stress-induced hippocampal alterations that are found in psychiatric disorders in general and schizophrenia in particular. Overall, these finding suggests that investigating subgroups of schizophrenia based symptoms profile and particularly mood symptoms can facilitate genetic studies of schizophrenia.

Evidence for an involvement of aberrant homocysteine metabolism in the aetiology of schizophrenia is limited and controversial. A case-control study was performed to quantify the risk of schizophrenia in the presence of elevated homocysteine concentrations or homozygosity for the 677C --> T polymorphism (677TT) in the methylenetetrahydrofolate reductase (MTHFR) gene in subjects of Dutch ancestry. We determined the 677C --> T MTHFR genotype distribution in 254 well-defined patients and 414 healthy controls. Plasma homocysteine concentrations were measured in 62 patients with schizophrenia and 432 control subjects. When homocysteine concentrations were stratified into quartiles of the control distribution, we calculated an increased risk for schizophrenia in the fourth and third quartile versus the lowest quartile [odds ratio (OR) = 3.3; 95% confidence interval (CI): 1.2-9.2, and OR = 3.1; 95% CI: 1.2-8.0, respectively]. A significant dose-response relation of increasing homocysteine levels and increasing risk for schizophrenia was observed (P = 0.036). The 677TT genotype was associated with an OR of 1.6 [95% CI: 0.96-2.8] of having schizophrenia. Heterozygosity for the T allele compared to 677CC subjects accounted for an OR of 1.3 [95% CI: 0.91-1.8]. Elevated homocysteine levels and the MTHFR 677TT genotype are associated with an increased risk for schizophrenia. These observations support a causal relation between disturbed homocysteine metabolism and schizophrenia.

A functional polymorphism of the brain-derived neurotrophic factor (BDNF) gene (Val66Met) has been associated with the risk for schizophrenia and volume differences in the hippocampus. However, little is known about the association between progressive brain volume change in schizophrenia and BDNF genotype. The aim of this study was to investigate the relationship between hippocampal volume change in patients with schizophrenia and healthy control subjects and BDNF genotype. Two structural magnetic resonance imaging brain scans were acquired of 68 patients with schizophrenia and 83 healthy subjects with an interval of approximately 5 yrs. Hippocampal volume change was measured and related to BDNF genotype in patients and healthy controls. BDNF genotype was not associated with hippocampal volume change over time in patients or healthy controls, nor could we replicate earlier findings on smaller hippocampal volume in Met-carriers. However, we did find a genotype-by-diagnosis interaction at baseline demonstrating smaller hippocampal volumes in patients homozygous for the Val-allele relative to healthy Val-homozygotes. In addition, irrespective of genotype, patients showed smaller hippocampal volumes compared with healthy controls at baseline. In summary, our results suggest that the BDNF Val66Met polymorphism is not associated with hippocampal volume change over time. Nevertheless, our findings may support the possibility that BDNF affects brain morphology differently in schizophrenia patients and healthy subjects.