HTF9C gene of 22q11.21 region associates with schizophrenia having deficit-sustained attention

Differential resting-state patterns across networks are spatially associated with Comt and Trmt2a gene expression patterns in a mouse model of 22q11.2 deletion

Copy number variations (CNV) involving multiple genes are ideal models to study polygenic neuropsychiatric disorders. Since 22q11.2 deletion is regarded as the most important single genetic risk factor for developing schizophrenia, characterizing the effects of this CNV on neural networks offers a unique avenue towards delineating polygenic interactions conferring risk for the disorder. We used a Df(h22q11)/+ mouse model of human 22q11.2 deletion to dissect gene expression patterns that would spatially overlap with differential resting-state functional connectivity (FC) patterns in this model (N = 12 Df(h22q11)/+ mice, N = 10 littermate controls). To confirm the translational relevance of our findings, we analyzed tissue samples from schizophrenia patients and healthy controls using machine learning to explore whether identified genes were co-expressed in humans. Additionally, we employed the STRING protein-protein interaction database to identify potential interactions between genes spatially associated with hypo- or hyper-FC. We found significant associations between differential resting-state connectivity and spatial gene expression patterns for both hypo- and hyper-FC. Two genes, Comt and Trmt2a, were consistently over-expressed across all networks. An analysis of human datasets pointed to a disrupted co-expression of these two genes in the brain in schizophrenia patients, but not in healthy controls. Our findings suggest that COMT and TRMT2A form a core genetic component implicated in differential resting-state connectivity patterns in the 22q11.2 deletion. A disruption of their co-expression in schizophrenia patients points out a prospective cause for the aberrance of brain networks communication in 22q11.2 deletion syndrome on a molecular level.

Molecular genetic models related to schizophrenia and psychotic illness: heuristics and challenges

Schizophrenia is a heritable disorder that may involve several common genes of small effect and/or rare copy number variation, with phenotypic heterogeneity across patients. Furthermore, any boundaries vis-à-vis other psychotic disorders are far from clear. Consequently, identification of informative animal models for this disorder, which typically relate to pharmacological and putative pathophysiological processes of uncertain validity, faces considerable challenges. In juxtaposition, the majority of mutant models for schizophrenia relate to the functional roles of a diverse set of genes associated with risk for the disorder or with such putative pathophysiological processes. This chapter seeks to outline the evidence from phenotypic studies in mutant models related to schizophrenia. These have commonly assessed the degree to which mutation of a schizophrenia-related gene is associated with the expression of several aspects of the schizophrenia phenotype or more circumscribed, schizophrenia-related endophenotypes; typically, they place specific emphasis on positive and negative symptoms and cognitive deficits, and extend to structural and other pathological features. We first consider the primary technological approaches to the generation of such mutants, to include their relative merits and demerits, and then highlight the diverse phenotypic approaches that have been developed for their assessment. The chapter then considers the application of mutant phenotypes to study pathobiological and pharmacological mechanisms thought to be relevant for schizophrenia, particularly in terms of dopaminergic and glutamatergic dysfunction, and to an increasing range of candidate susceptibility genes and copy number variants. Finally, we discuss several pertinent issues and challenges within the field which relate to both phenotypic evaluation and a growing appreciation of the functional genomics of schizophrenia and the involvement of gene × environment interactions.

A haplotype of the norepinephrine transporter gene (SLC6A2) is associated with visual memory in attention-deficit/hyperactivity disorder

Attention-deficit/hyperactivity disorder (ADHD) is a common heritable childhood-onset psychiatric disorder with impaired visual memory. Based on the evidence from treatment effect of atomoxetine, which interacts directly with the norepinephrine transporter, on visual memory in children with ADHD, this study examined the linkage disequilibrium structure of the norepinephrine transporter gene (SLC6A2) and the association between SLC6A2 and ADHD and visual memory, a promising endophenotype for ADHD. This family-based association sample consisted of 382 probands with DSM-IV ADHD and their family members (n=1298 in total) of Han Chinese in Taiwan. Visual memory was assessed by the Pattern Recognition Memory (PRM) and Spatial Recognition Memory (SRM) tasks of the Cambridge Neuropsychological Test Automated Battery (CANTAB). We screened 21 polymorphisms across SLC6A2 and used the Family-Based Association Test (FBAT) to test the associations of SLC6A2 polymorphisms with ADHD and the PRM and SRM measures. In haplotype analyses, a haplotype rs36011 (T)/rs1566652 (G) was significantly associated with ADHD (minimal p=0.045) after adjustment for multiple testing. In quantitative analyses, this TG haplotype also demonstrated significant associations with visual memory measures, including mean latency of correct responses in PRM (minimal p=0.019), total correct responses in PRM (minimal p=0.018), and total correct responses in SRM (minimal p=0.015). Our novel finding of the haplotype rs36011 (T)/rs1566652 (G) as a novel genetic marker involved in both ADHD disease susceptibility and visual memory suggests that allelic variations in SLC6A2 could provide insight into the pathways leading from genotype to phenotype of ADHD.

Association of microRNA biogenesis pathway gene variants and alcohol dependence risk

Alcohol dependence (AD) is a neuropsychiatric disorder to which both genetic and environmental factors contribute. Especially, multiple genetic factors are promising to explain the etiology of AD. microRNAs (miRNAs) are members of a family of noncoding small RNAs, which are thought to be responsible for the altered gene expression in neuropsychiatric disorders. We hypothesized that single nucleotide polymorphisms (SNPs) in the miRNA biogenesis pathway may result in dysregulation of miRNA levels inside the cell. The aim of this study was to test an association between miRNA biogenesis gene variants and AD risk. Real-time polymerase chain reaction genotyping experiment was conducted on DNA samples from 123 alcohol-dependent patients and 135 healthy controls. We found that AGO1 rs595961 (χ(2) = 9.066, p = 0.003; odds ratio [OR] = 0.459, 95% confidence interval [CI]: 0.275-0.768) and AGO2 rs4961280 (χ(2) = 4.111, p = 0.043; OR = 0.590, 95% CI: 0.353-0.986) G alleles have significantly altered the risk for AD, and also there is a significant association of GEMIN4 rs910924 (χ(2) = 5.291, p = 0.021; OR = 1.913, 95% CI: 1.094-3.344) T allele with the risk for AD. We also found statistically significant difference in AGO1 rs595961 (χ(2) = 11.139, p = 0.001) and DGCR8 rs1640299 (χ(2) = 13.001, p = 0.002) genotype frequencies between case-control groups. This is the first study to investigate the effects of SNPs in the miRNA biogenesis pathway on AD risk. In conclusion, we identified a significant association of miRNA biogenesis genes with altered AD risk, and these results could be a guide to research on the role of miRNAs in AD in the future.

Taiwan Schizophrenia Linkage Study: lessons learned from endophenotype-based genome-wide linkage scans and perspective

Taiwan Schizophrenia Linkage Study (TSLS) was initiated with a linkage strategy for locating multiple genes, each of small to moderate effect, and aimed to recruit a large enough sample of pairs of affected siblings and their families ascertained from a multisite study. With a sample of 607 families successfully recruited, a total of 2,242 individuals (1,207 affected and 1,035 unaffected) from 557 families were genotyped using 386 microsatellite markers spaced at an average of 9-cM intervals. Here the author reviews the establishment of TSLS and initial signal derived from linkage scan using the diagnosis of schizophrenia. Based on the limited success of the initial linkage analysis, a sufficient-component causal model is proposed to incorporate endophenotypes and genes for schizophrenia. Four types of candidate endophenotype measured in TSLS, including schizotypal personality, Continuous Performance Test, Wisconsin Card Sorting Test, and niacin skin flush test, are briefly described. The author discusses different strategies of linkage analysis incorporating these endophenotypes, including quantitative trait loci (QTL) linkage analysis, clustering-derived subgroups, ordered subset analysis (OSA), and latent classes for linkage scan. Then the author summarizes the linkage signals generated from seven studies of endophenotype-based linkage analysis using TSLS, including QTL scan of neurocognitive performance, QTL scan of niacin skin flush, the family cluster of attention deficit and execution deficit, OSA by schizophrenia-schizotypy factors, nested OSA by age at onset and neurocognitive performance, and the latent class of deficit schizophrenia for linkage analysis. The perspective of combining next-generation sequencing with linkage analysis of families is also discussed.

Glutamate dehydrogenase in brain mitochondria: do lipid modifications and transient metabolon formation influence enzyme activity?

Metabolism of glutamate, the primary excitatory neurotransmitter in brain, is complex and of paramount importance to overall brain function. Thus, understanding the regulation of enzymes involved in formation and disposal of glutamate and related metabolites is crucial to understanding glutamate metabolism. Glutamate dehydrogenase (GDH) is a pivotal enzyme that links amino acid metabolism and TCA cycle activity in brain and other tissues. The allosteric regulation of GDH has been extensively studied and characterized. Less is known about the influence of lipid modifications on GDH activity, and the participation of GDH in transient heteroenzyme complexes (metabolons) that can greatly influence metabolism by altering kinetic parameters and lead to channeling of metabolites. This review summarizes evidence for palmitoylation and acylation of GDH, information on protein binding, and information regarding the participation of GDH in transient heteroenzyme complexes. Recent studies suggest that a number of other proteins can bind to GDH altering activity and overall metabolism. It is likely that these modifications and interactions contribute additional levels of regulation of GDH activity and glutamate metabolism.

Association of RANBP1 haplotype with smooth pursuit eye movement abnormality

Schizophrenia is a multifactorial disorder and smooth pursuit eye movement (SPEM) disturbance is proposed as one of the most consistent neurophysiological endophenotype in schizophrenia. The aim of this study was to examine the genetic association of RANBP1 polymorphisms with the risk of schizophrenia and with the risk of SPEM abnormality in schizophrenia patients in a Korean population. Two SNPs of RANBP1 were genotyped by TaqMan assay. Their genetic effect of single/haplotype polymorphisms on the risk of schizophrenia and SPEM abnormality from 354 patients and 396 controls were performed using χ² and multiple regression analyses. Although no RANBP1 polymorphisms were associated with the risk of schizophrenia, a common haplotype, RANBP1-ht2 (rs2238798G-rs175162T), showed significant association with the risk of SPEM abnormality among schizophrenia patients after multiple correction (P(corr)  = 0.002-0.0003). The results of present study provide the evidence that RANBP1 on 22q11.21 locus might be causally related to the SPEM abnormality rather than the development of schizophrenia.

Testing for genetic association between the ZDHHC8 gene locus and susceptibility to schizophrenia: An integrated analysis of multiple datasets

A number of studies have reported an association between the ZDHHC8 gene locus and schizophrenia but have produced some divergent findings and their interpretation is not straightforward. We investigated the association of the ZDHHC8 gene locus with schizophrenia using meta-analytic techniques, combining all published data up to May 2009 and focusing on 10 independent studies from six published references covering 2,894 cases, 2,932 controls and 1,225 parent-offspring trios. We restricted the analysis to studies investigating rs175174, the most frequently studied single nucleotide polymorphism (SNP). Stratified meta-analysis was conducted to investigate whether ancestry, study design, or gender moderated any association. Analyses of linkage disequilibrium (LD) and haplotype structure of this gene locus were also performed based on the hapmap project genotype data to determine whether there were other independent polymorphic markers which might contribute to susceptibility to schizophrenia in particular ethnic populations. We found no allelic- or genotype-wise evidence for an association of the rs175174 SNP with schizophrenia in our overall analysis. After applying stratified analyses, there was only a weak nominal genotype-wise association of this SNP with schizophrenia in the dominant genetic model in East Asian populations (P = 0.049), which might be caused by significant between-study heterogeneity (P = 0.042). No significant publication bias was detected. Other polymorphic markers within this gene genotyped in the hapmap project across different ethnic populations were in strong LD with rs175174. Consistently negative associations were found in the rs175174 polymorphism. LD structure further suggested that the ZDHHC8 locus might not play an important role in the etiology of schizophrenia.

Mice mutant for genes associated with schizophrenia: common phenotype or distinct endophenotypes?

Schizophrenia is a complex neuropsychiatric disorder whose etiology involves a mixture of genetic and environmental factors. By virtue of this complexity, schizophrenia is a field of research in which a number of key technologies converge: in particular, identification of putative susceptibility genes through association studies in clinical populations leads to investigation of the behavioural roles of these genes by targeted manipulation in mice and their phenotypic characterisation ('gene-driven' approach); in a complementary manner, identification of putative pathophysiological processes and therapeutic pathways leads to investigation of behavioural phenotype in mice mutant for genes regulating such processes and pathways ('phenotype-driven' approach). As several susceptibility genes for schizophrenia and numerous genes implicated in the pathophysiology of schizophrenia have now been genetically manipulated in mice, it is timely to consider the roles of these genes in abnormal brain development and the ontogeny of putative schizophrenia-like phenotypes. The aim of this review is to outline existing knowledge from mutant studies concerning the contribution of these genes to the development of a common schizophrenia phenotype vis-à-vis discrete schizophrenia endophenotypes. Emphasis is also placed on the importance of studying gene x environment and gene x gene interactions, as well as addressing methodological issues related to genetic modelling and phenotyping strategies.

The neurodevelopmental hypothesis of schizophrenia, revisited

While multiple theories have been put forth regarding the origin of schizophrenia, by far the vast majority of evidence points to the neurodevelopmental model in which developmental insults as early as late first or early second trimester lead to the activation of pathologic neural circuits during adolescence or young adulthood leading to the emergence of positive or negative symptoms. In this report, we examine the evidence from brain pathology (enlargement of the cerebroventricular system, changes in gray and white matters, and abnormal laminar organization), genetics (changes in the normal expression of proteins that are involved in early migration of neurons and glia, cell proliferation, axonal outgrowth, synaptogenesis, and apoptosis), environmental factors (increased frequency of obstetric complications and increased rates of schizophrenic births due to prenatal viral or bacterial infections), and gene-environmental interactions (a disproportionate number of schizophrenia candidate genes are regulated by hypoxia, microdeletions and microduplications, the overrepresentation of pathogen-related genes among schizophrenia candidate genes) in support of the neurodevelopmental model. We relate the neurodevelopmental model to a number of findings about schizophrenia. Finally, we also examine alternate explanations of the origin of schizophrenia including the neurodegenerative model.

Stability of cognitive impairment in chronic schizophrenia over brief and intermediate re-test intervals

OBJECTIVE

This study examined between- and within-subject stability of cognitive performance in individuals with chronic schizophrenia.

METHODS

Thirty individuals with schizophrenia and 20 healthy controls matched by age, sex, education, and estimated IQ underwent repeated cognitive assessments at baseline and 30 days using computerized tests of psychomotor function, visual attention/information processing, non-verbal learning, and executive function.

RESULTS

Compared to healthy controls, individuals with schizophrenia scored lower on all cognitive measures and demonstrated greater variability in cognitive performance. Within-subject variability in cognitive performance in both the schizophrenia and healthy control groups remained stable at brief (i.e., hours) and intermediate (i.e., one month) assessments.

CONCLUSIONS

These results demonstrate the stability of between- and within-subject variability in cognitive performance in schizophrenia, and suggest that variability in cognitive performance may reflect an inherent characteristic of the disorder, rather than differences in test-retest reliability/error of cognitive measures.