Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0036341 (schizophrenia)
60,220 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Catechol-O-methyltransferase (COMT) regulates dopamine degradation and is located in a genomic region that is deleted in a syndrome associated with psychosis, making it a promising candidate gene for schizophrenia. COMT also has been shown to influence prefrontal cortex processing efficiency. Prefrontal processing dysfunction is a common finding in schizophrenia, and a background of inefficient processing may modulate the effect of other candidate genes. Using the NIMH sibling study (SS), a non-independent case-control set, and an independent German (G) case-control set, we performed conditional/unconditional logistic regression to test for epistasis between SNPs in COMT (rs2097603, Val158Met (rs4680), rs165599) and polymorphisms in other schizophrenia susceptibility genes. Evidence for interaction was evaluated using a likelihood ratio test (LRT) between nested models. SNPs in RGS4, G72, GRM3, and DISC1 showed evidence for significant statistical epistasis with COMT. A striking result was found in RGS4: three of five SNPs showed a significant increase in risk [LRT P-values: 90387 = 0.05 (SS); SNP4 = 0.02 (SS), 0.02 (G); SNP18 = 0.04 (SS), 0.008 (G)] in interaction with COMT; main effects for RGS4 SNPs were null. Significant results for SNP4 and SNP18 were also found in the German study. We were able to detect statistical interaction between COMT and polymorphisms in candidate genes for schizophrenia, many of which had no significant main effect. In addition, we were able to replicate other studies, including allelic directionality. The use of epistatic models may improve replication of psychiatric candidate gene studies.
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PMID:Evidence for statistical epistasis between catechol-O-methyltransferase (COMT) and polymorphisms in RGS4, G72 (DAOA), GRM3, and DISC1: influence on risk of schizophrenia. 1700 72

In this review, all papers relevant to the molecular genetics of bipolar disorder published from 2004 to the present (mid 2006) are reviewed, and major results on depression are summarized. Several candidate genes for schizophrenia may also be associated with bipolar disorder: G72, DISC1, NRG1, RGS4, NCAM1, DAO, GRM3, GRM4, GRIN2B, MLC1, SYNGR1, and SLC12A6. Of these, association with G72 may be most robust. However, G72 haplotypes and polymorphisms associated with bipolar disorder are not consistent with each other. The positional candidate approach showed an association between bipolar disorder and TRPM2 (21q22.3), GPR50 (Xq28), Citron (12q24), CHMP1.5 (18p11.2), GCHI (14q22-24), MLC1 (22q13), GABRA5 (15q11-q13), BCR (22q11), CUX2, FLJ32356 (12q23-q24), and NAPG (18p11). Studies that focused on mood disorder comorbid with somatic symptoms, suggested roles for the mitochondrial DNA (mtDNA) 3644 mutation and the POLG mutation. From gene expression analysis, PDLIM5, somatostatin, and the mtDNA 3243 mutation were found to be related to bipolar disorder. Whereas most previous positive findings were not supported by subsequent studies, DRD1 and IMPA2 have been implicated in follow-up studies. Several candidate genes in the circadian rhythm pathway, BmaL1, TIMELESS, and PERIOD3, are reported to be associated with bipolar disorder. Linkage studies show many new linkage loci. In depression, the previously reported positive finding of a gene-environmental interaction between HTTLPR (insertion/deletion polymorphism in the promoter of a serotonin transporter) and stress was not replicated. Although the role of the TPH2 mutation in depression had drawn attention previously, this has not been replicated either. Pharmacogenetic studies show a relationship between antidepressant response and HTR2A or FKBP5. New technologies for comprehensive genomic analysis have already been applied. HTTLPR and BDNF promoter polymorphisms are now found to be more complex than previously thought, and previous papers on these polymorphisms should be treated with caution. Finally, this report addresses some possible causes for the lack of replication in this field.
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PMID:Molecular genetics of bipolar disorder and depression. 1723 33

Bipolar disorder and schizophrenia share common chromosomal susceptibility loci and many risk-promoting genes. Oligodendrocyte cell loss and hypomyelination are common to both diseases. A number of environmental risk factors including famine, viral infection, and prenatal or childhood stress may also predispose to schizophrenia or bipolar disorder. In cells, related stressors (starvation, viruses, cytokines, oxidative, and endoplasmic reticulum stress) activate a series of eIF2-alpha kinases, which arrest protein synthesis via the eventual inhibition, by phosphorylated eIF2-alpha, of the translation initiation factor eIF2B. Growth factors increase protein synthesis via eIF2B activation and counterbalance this system. The control of protein synthesis by eIF2-alpha kinases is also engaged by long-term potentiation and repressed by long-term depression, mediated by N-methyl-D-aspartate (NMDA) and metabotropic glutamate receptors. Many genes reportedly associated with both schizophrenia and bipolar disorder code for proteins within or associated with this network. These include NMDA (GRIN1, GRIN2A, GRIN2B) and metabotropic (GRM3, GRM4) glutamate receptors, growth factors (BDNF, NRG1), and many of their downstream signaling components or accomplices (AKT1, DAO, DAOA, DISC1, DTNBP1, DPYSL2, IMPA2, NCAM1, NOS1, NOS1AP, PIK3C3, PIP5K2A, PDLIM5, RGS4, YWHAH). They also include multiple gene products related to the control of the stress-responsive eIF2-alpha kinases (IL1B, IL1RN, MTHFR, TNF, ND4, NDUFV2, XBP1). Oligodendrocytes are particularly sensitive to defects in the eIF2B complex, mutations in which are responsible for vanishing white matter disease. The convergence of natural and genetic risk factors on this area in bipolar disorder and schizophrenia may help to explain the apparent vulnerability of this cell type in these conditions. This convergence may also help to reconcile certain arguments related to the importance of nature and nurture in the etiology of these psychiatric disorders. Both may affect common stress-related signaling pathways that dictate oligodendrocyte viability and synaptic plasticity.
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PMID:eIF2B and oligodendrocyte survival: where nature and nurture meet in bipolar disorder and schizophrenia? 1732 32

The author reviews relevant data on the neuropathology and molecular genetics of schizophrenia. Anatomical alterations are localized mainly in the hippocampus, dorsal thalamus and dorsolateral prefrontal cortex, and involve the morphology and molecular structure of the neurons and synapses. Several susceptibility genes [including COMT, dysbindin, neuregulin, DISCI, RGS4, GRM3, G72, PPP3CC, CHRNA7, PRODH2, Aktl, 5qGABA(A)] having physiological function in the brain have been identified and this supports the view of schizophrenia as a disorder of cerebral synaptic function. NMDA receptor-mediated glutamate transmission may be particularly involved, but disturbances of dopamine and GABA signalling seem to be linked as well. Based on recent data, an agreement is emerging between the roles of the genes on the molecular and synaptic levels and the understanding of the disorder at the neural systems level.
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PMID:[Gene polymorphism and gene expression in schizophrenia]. 1743 57

Schizophrenia is a common and complex mental disorder. Hereditary factors are important for its etiology, but despite linkage signals reported to several chromosomal regions in different populations, final identification of predisposing genes has remained a challenge. Utilizing a large family-based schizophrenia study sample from Finland, we have identified several linked loci: 1q32.2-q42, 2q, 4q31, 5q and 7q22. In this study, an independent sample of 352 nuclear schizophrenia families (n=1626) allowed replication of linkage on 7q21-32. In a sample of 245 nuclear families (n=1074) originating from the same geographical region as the families revealing the linkage, SNP and microsatellite association analyses of the four regional candidate genes, GRM3, RELN, SEMA3A and VGF, revealed no significant association to the clinical diagnosis of schizophrenia. Instead, quantifiable trait component analyses with neuropsychological endophenotypes available from 186 nuclear families (n=861) of the sample showed significant association to RELN variants for traits related to verbal (P=0.000003) and visual working memory (P=0.002), memory (P=0.002) and executive functioning (P=0.002). Trait-associated allele-positive subjects scored lower in the tests measuring working memory (P=0.0004-0.0000000004), memory (P=0.02-0.0001) and executive functioning (P=0.001). Our findings suggest that allelic variants of RELN contribute to the endophenotypes of schizophrenia.
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PMID:Replication of linkage on chromosome 7q22 and association of the regional Reelin gene with working memory in schizophrenia families. 1768

Cognitive deficits are critical determinants of schizophrenia morbidity. In this review, we offer a mechanistic perspective regarding schizophrenia-related changes observed in prefrontal cortical networks engaged in working memory. A body of earlier work converges on aberrations in putative macrocircuit stability and functional efficiency as the underlying pathophysiology of the cognitive deficits in schizophrenia. In parsing the dysfunctional prefrontal cortical dynamics of schizophrenia, recent functional magnetic resonance imaging and electoencephalography works suggest that in the context of reduced capacity for executive aspects of working memory, patients engage a larger network of cortical regions consistent with an interplay between reduced signal-to-noise components and the recruitment of compensatory networks. The genetic programming underlying these systems-level cortical interactions has been examined under the lens of certain schizophrenia susceptibility genes, especially catechol-o-methyltransferase (COMT) and GRM3. Variation in COMT, which presumably impacts on cortical dopamine signaling, translates into variable neural strategies for working memory and altering patterns of intracortical functional correlations. GRM3, which impacts on synaptic glutamate, interacts with COMT and exaggerates the genetic dissection of cortical processing strategies. These findings reveal novel insights into the modulation and parcellation of working memory processing in cortical assemblies and provide a mechanistic link between susceptibility genes and cortical pathophysiology related to schizophrenia.
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PMID:Dysfunctional and compensatory prefrontal cortical systems, genes and the pathogenesis of schizophrenia. 1772

The GRM3 gene, which encodes a metabotropic glutamate receptor, is an important candidate gene for susceptibility to schizophrenia. Two single nucleotide polymorphisms (SNPs), rs1468412 and rs2299225 in intron 3, were reported to be associated with schizophrenia in Japanese and Chinese populations, respectively. Haplotypes with these SNPs were also reported to be associated with schizophrenia. In the present study, we attempted to replicate these single marker and haplotype associations in a case-control study of 1,916 Japanese patients with schizophrenia and 1,915 Japanese control subjects. In addition to these two SNPs, we genotyped rs274622 in the promoter region of GRM3. In the present study, none of these polymorphisms were associated with schizophrenia (rs274622, allelic P = 0.68; rs1468412, allelic P = 0.74; rs2299225, allelic P = 0.20). Haplotypes constructed with these SNPs also were not associated with schizophrenia (P = 0.18-0.84). Meta-analysis of five case-control studies of more than 3,000 patients with schizophrenia and more than 3,000 control subjects did not support the associations of rs1468412 and rs2299225 with schizophrenia. Our data indicate that SNPs previously reported to be associated with schizophrenia do not contribute to genetic susceptibility to schizophrenia.
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PMID:Replication study and meta-analysis of the genetic association of GRM3 gene polymorphisms with schizophrenia in a large Japanese case-control population. 1794 96

Schizophrenia is a complex disorder, where family, twin and adoption studies have been demonstrating a high heritability of the disease and that this disease is not simply defined by several major genes but rather evolves from addition or potentiation of a specific cluster of genes, which subsequently determines the genetic vulnerability of an individual. Linkage and association studies suggest that a genetic vulnerablility, is not forcefully leading to the disease since triggering factors and environmental influences, i.e. birth complications, drug abuse, urban background or time of birth have been identified. This has lead to the assumption that schizophrenia is not only a genetically defined static disorder but a dynamic process leading to dysregulation of multiple pathways. There are several different hypothesis based on several facets of the disease, some of them due to the relatively well-known mechanisms of therapeutic agents. The most widely considered neurodevelopmental hypothesis of schizophrenia integrates environmental influences and causative genes. The dopamine hypothesis of schizophrenia is based on the fact that all common treatments involve antidopaminergic mechanisms and genes such as DRD2, DRD3, DARPP-32, BDNF or COMT are closely related to dopaminergic system functioning. The glutamatergic hypothesis of schizophrenia lead recently to a first successful mGlu2/3 receptor agonistic drug and is underpinned by significant findings in genes regulating the glutamatergic system (SLC1A6, SLC1A2 GRIN1, GRIN2A, GRIA1, NRG1, ErbB4, DTNBP1, DAAO, G72/30, GRM3). Correspondingly, GABA has been proposed to modulate the pathophysiology of the disease which is represented by the involvement of genes like GABRA1, GABRP, GABRA6 and Reelin. Moreover, several genes implicating immune, signaling and networking deficits have been reported to be involved in the disease, i.e. DISC1, RGS4, PRODH, DGCR6, ZDHHC8, DGCR2, Akt, CREB, IL-1B, IL-1RN, IL-10, IL-1B. However, molecular findings suggest that a complex interplay between receptors, kinases, proteins and hormones is involved in schizophrenia. In a unifying hypothesis, different cascades merge into another that ultimately lead to the development of symptoms adherent to schizophrenic disorders.
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PMID:Molecular mechanisms of schizophrenia. 1798 52

The etiology of schizophrenia is thought to include both epistasis and gene-environment interactions. We sought to test whether a set of schizophrenia candidate genes regulated by hypoxia or involved in vascular function in the brain (AKT1, BDNF, CAPON, CHRNA7, COMT, DTNBP1, GAD1, GRM3, NOTCH4, NRG1, PRODH, RGS4, TNF-alpha) interacted with serious obstetric complications to influence risk for schizophrenia. A family-based study of transmission disequilibrium was conducted in 116 trios. Twenty-nine probands had at least one serious obstetric complication (OC) using the McNeil-Sjostrom Scale, and many of the OCs reported were associated with the potential for fetal hypoxia. Analyses were conducted using conditional logistic regression and a likelihood ratio test (LRT) between nested models was performed to assess significance. Of the 13 genes examined, four (AKT1 (three SNPs), BDNF (two SNPs), DTNBP1 (one SNP) and GRM3 (one SNP)) showed significant evidence for gene-by-environment interaction (LRT P-values ranged from 0.011 to 0.037). Although our sample size was modest and the power to detect interactions was limited, we report significant evidence for genes involved in neurovascular function or regulated by hypoxia interacting with the presence of serious obstetric complications to increase risk for schizophrenia.
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PMID:Serious obstetric complications interact with hypoxia-regulated/vascular-expression genes to influence schizophrenia risk. 1819 13

Genetic variation in the metabotropic glutamate receptor 3 (GRM3, mGluR3) has been associated with schizophrenia, but the mechanism by which it confers risk is unknown. Previously, we reported the existence of a splice variant, GRM3Delta4, which has an exon 4 deletion and encodes a truncated form of the receptor that is expressed in brain. The aim of the present study was to determine whether expression of this splice variant is altered in individuals with schizophrenia and is affected by a risk genotype. We measured GRM3 and GRM3Delta4 transcripts in human dorsolateral prefrontal cortex (DLPFC) and hippocampus of the CBDB/NIMH collection ( approximately 70 controls, approximately 30 schizophrenia patients) and in the DLPFC of the Stanley Array Collection. Expression data of GRM3 mRNA in the DLPFC were inconsistent: GRM3 was increased in schizophrenia patients in the CBDB/NIMH collection, but not in the Stanley Array Collection. GRM3 expression did not change in the frontal cortex of rats treated chronically with haloperidol or clozapine. An exon 3 SNP previously associated with schizophrenia (rs2228595) predicted increased expression of the GRM3Delta4 splice variant. Our results suggest that rs2228595, or a neighboring SNP in linkage disequilibrium with it, may contribute to risk for schizophrenia by modulating GRM3 splicing.
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PMID:Expression of a GRM3 splice variant is increased in the dorsolateral prefrontal cortex of individuals carrying a schizophrenia risk SNP. 1825 95


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