1Biol. Psychiatry 2007 Apr 61: 873-9
PMID16978587
TitleFine mapping by genetic association implicates the chromosome 1q23.3 gene UHMK1, encoding a serine/threonine protein kinase, as a novel schizophrenia susceptibility gene.
AbstractLinkage studies by us and others have confirmed that chromosome 1q23.3 is a susceptibility locus for schizophrenia. Based on this information, several research groups have published evidence that markers within both the RGS4 and CAPON genes, which are 700 kb apart, independently showed allelic association with schizophrenia. Tests of allelic association with both of these genes in our case control sample were negative. Therefore, we carried out further fine mapping between the RGS4 and CAPON genes.
Twenty-nine SNP and microsatellite markers in the 1q23.3 region were genotyped in the United Kingdom based sample of 450 cases and 450 supernormal control subjects.
We detected positive allelic association after the eighth marker was genotyped and found that three microsatellite markers (p = .011, p = .014, p = .049) and two SNPs (p = .004, p = .043) localized in the 700 kb region between the RGS4 and CAPON genes, within the UHMK1 gene, were associated with schizophrenia. Tests of significance for marker rs10494370 remained significant following Bonferroni correction (alpha = .006) for multiple tests. Tests of haplotypic association were also significant for UHMK1 (p = .009) using empirical permutation tests, which make it unnecessary to further correct for both multiple alleles and multiple markers.
These results provide preliminary evidence that the UHMK1 gene increases susceptibility to schizophrenia. Further confirmation in adequately powered samples is needed. UHMK1 is a serine threonine kinase nuclear protein and is highly expressed in regions of the brain implicated in schizophrenia.
SCZ Keywordsschizophrenia, schizophrenic
2Eur. J. Hum. Genet. 2008 Oct 16: 1275-82
PMID18414510
TitleConfirmation of the genetic association between the U2AF homology motif (UHM) kinase 1 (UHMK1) gene and schizophrenia on chromosome 1q23.3.
AbstractUHMK1 has previously been implicated as a susceptibility gene for schizophrenia in the 1q23.3 region by significant evidence of allelic and haplotypic association between schizophrenia and several genetic markers at UHMK1 in a London-based case-control sample. Further fine mapping of the UHMK1 gene locus in the University College London schizophrenia case-control sample was carried out with tagging SNPs. Two additional SNPs were found to be associated with schizophrenia (rs6604863 P = 0.02, rs10753578 P = 0.017). Tests of allelic and haplotypic association were then carried out in a second independent sample from Aberdeen consisting of 858 individuals with schizophrenia and 591 controls. Two of these SNPs also showed association in the Aberdeen sample (rs7513662 P = 0.0087, rs10753578 P = 0.022) and several haplotypes were associated (global permutation P = 0.0004). When the UCL and Aberdeen samples were combined three SNPs (rs7513662 P = 0.0007, rs6427680 P = 0.0252, rs6694863 P = 0.015) and several haplotypes showed association (eg HAP-A, HAP-B, HAP-C permutation P = 0.00005). The finding of allelic association with markers in the UHMK1 gene might help explain why it has not been possible, despite great effort, to satisfactorily confirm previously reported associations between schizophrenia and the genes RGS4 and NOS1AP/CAPON. These genes flank UHMK1 and all three loci are within a 700 kb region showing linkage to schizophrenia. The confirmation of association between UHMK1 and schizophrenia, rather than RGS4 and NOS1AP in the London sample, points to the possibility that previous efforts to accurately fine map a gene in the 1q23.3 region have lacked accuracy or may have suffered from methodological flaws.
SCZ Keywordsschizophrenia, schizophrenic
3Psychiatr. Genet. 2009 Aug 19: 165-70
PMID19451863
TitleNo evidence for excess runs of homozygosity in bipolar disorder.
AbstractRecent studies have reported large common regions of homozygosity (ROHs) that are the result of autozygosity, that is, the cooccurrence within individuals of long haplotypes that have a high frequency in the population. A recent study reports that such regions are found more commonly in individuals with schizophrenia compared with controls, and identified nine 'risk ROHs' that were individually more common in cases. Of these, four contained or neighboured genes associated with schizophrenia (NOS1AP/UHMK1, ATF2, NSF and PIK3C3).
We have applied the same methodology to a UK sample of 506 cases with bipolar disorder and 510 controls.
There was no overall excess of common ROHs among bipolar individuals. With one exception, the haplotypes accounting for the ROHs appeared to be distributed according to the Hardy-Weinberg equilibrium. One ROH was individually more common among cases (uncorrected P = 0.0003). This ROH spanned the chromosome 2p23.3 gene ITSN2 (the gene for intersectin 2 isoform 2). However, inspection of the homozygous haplotypes and haplotype-based tests for association failed to provide a clearer understanding of why this ROH was occurring more commonly.
Overall, we conclude that, in contrast with schizophrenia, common ROHs are rarely associated with susceptibility to bipolar disorder. This supports the idea that predominantly different genes are increasing susceptibility to schizophrenia and bipolar affective disorders.
SCZ Keywordsschizophrenia, schizophrenic
4Brain Res. 2009 Dec 1301: 197-206
PMID19747464
TitleExpression of kinase interacting with stathmin (KIS, UHMK1) in human brain and lymphoblasts: Effects of schizophrenia and genotype.
AbstractSingle nucleotide polymorphisms (SNPs) within the gene encoding the serine/threonine kinase KIS (Kinase Interacting with Stathmin, also known as UHMK1) have recently been associated with schizophrenia. As none of the disease associated SNPs are coding, they may confer susceptibility by altering some facet of KIS expression. Here we have characterised the cellular distribution of KIS in human brain using in situ hybridisation and immunohistochemistry, and quantified KIS protein and mRNA in two large brain series to determine if KIS expression is altered in schizophrenia or bipolar disorder or in relation to a schizophrenia-associated SNP (rs7513662). Post-mortem tissue from the superior temporal gyrus of schizophrenia and control subjects, and also dorsolateral prefrontal cortex, anterior cingulate cortex, and cerebellum from schizophrenia, bipolar disorder, and control subjects were used. KIS expression was measured by quantitative PCR (mRNA) and immunoautoradiography (protein), and was also quantified by immunoblot in lymphoblast cell lines derived from schizophrenia and control subjects. Our results demonstrate that KIS is expressed in neurons, and its encoded protein is localised to the nucleus and cytoplasm. No difference in KIS expression was found between diagnostic groups, or in the lymphoblast cell lines, and no effect of rs7513662 genotype on KIS expression was found. Hence, these data do not provide support for the hypothesis that altered expression is the mechanism by which genetic variation of KIS may increase susceptibility to schizophrenia, nor evidence that KIS expression is altered in the disease itself, at least in terms of the parameters studied here.
SCZ Keywordsschizophrenia, schizophrenic
5Psychiatr. Genet. 2011 Dec 21: 315-8
PMID21399567
TitleGenetic and molecular exploration of UHMK1 in schizophrenic patients.
AbstractIn two recent papers, polymorphisms located in U2AF homology motif kinase 1 (UHMK1) gene have been associated to schizophrenia. This gene encodes the serine/threonine kinase, kinase interacting with Stathmin, and has been functionally related to RNA metabolism and neurite outgrowth. In this study, we explored the contribution of this gene in schizophrenia susceptibility, using a case-control association study, a mutation screening, a transcription level analysis, and by the investigation of the phosphorylation status of the splicing factor, SF1, in B-lymphoblastoid cell lines of patients and controls. No association was observed in our French cohort, and no amino acid substitution was predicted in the subsample studied for mutation screening. No difference was observed in expression level or in SF1 phosphorylation between patients and controls. Despite a slight difference persisting in the meta-analysis carried out using four European populations, these data suggest, altogether, that UHMK1 does not play a major role in susceptibility to schizophrenia.
SCZ Keywordsschizophrenia, schizophrenic
6Psychiatr. Genet. 2011 Dec 21: 315-8
PMID21399567
TitleGenetic and molecular exploration of UHMK1 in schizophrenic patients.
AbstractIn two recent papers, polymorphisms located in U2AF homology motif kinase 1 (UHMK1) gene have been associated to schizophrenia. This gene encodes the serine/threonine kinase, kinase interacting with Stathmin, and has been functionally related to RNA metabolism and neurite outgrowth. In this study, we explored the contribution of this gene in schizophrenia susceptibility, using a case-control association study, a mutation screening, a transcription level analysis, and by the investigation of the phosphorylation status of the splicing factor, SF1, in B-lymphoblastoid cell lines of patients and controls. No association was observed in our French cohort, and no amino acid substitution was predicted in the subsample studied for mutation screening. No difference was observed in expression level or in SF1 phosphorylation between patients and controls. Despite a slight difference persisting in the meta-analysis carried out using four European populations, these data suggest, altogether, that UHMK1 does not play a major role in susceptibility to schizophrenia.
SCZ Keywordsschizophrenia, schizophrenic
7J. Psychopharmacol. (Oxford) 2012 Sep 26: 1218-30
PMID22767372
TitleA gene expression and systems pathway analysis of the effects of clozapine compared to haloperidol in the mouse brain implicates susceptibility genes for schizophrenia.
AbstractClozapine has markedly superior clinical properties compared to other antipsychotic drugs but the side effects of agranulocytosis, weight gain and diabetes limit its use. The reason why clozapine is more effective is not well understood. We studied messenger RNA (mRNA) gene expression in the mouse brain to identify pathways changed by clozapine compared to those changed by haloperidol so that we could identify which changes were specific to clozapine. Data interpretation was performed using an over-representation analysis (ORA) of gene ontology (GO), pathways and gene-by-gene differences. Clozapine significantly changed gene expression in pathways related to neuronal growth and differentiation to a greater extent than haloperidol; including the microtubule-associated protein kinase (MAPK) signalling and GO terms related to axonogenesis and neuroblast proliferation. Several genes implicated genetically or functionally in schizophrenia such as frizzled homolog 3 (FZD3), U2AF homology motif kinase 1 (UHMK1), pericentriolar material 1 (PCM1) and brain-derived neurotrophic factor (BDNF) were changed by clozapine but not by haloperidol. Furthermore, when compared to untreated controls clozapine specifically regulated transcripts related to the glutamate system, microtubule function, presynaptic proteins and pathways associated with synaptic transmission such as clathrin cage assembly. Compared to untreated controls haloperidol modulated expression of neurotoxic and apoptotic responses such as NF-kappa B and caspase pathways, whilst clozapine did not. Pathways involving lipid and carbohydrate metabolism and appetite regulation were also more affected by clozapine than by haloperidol.
SCZ Keywordsschizophrenia, schizophrenic
8Transl Psychiatry 2016 -1 6: e802
PMID27163203
TitleCandidate gene networks and blood biomarkers of methamphetamine-associated psychosis: an integrative RNA-sequencing report.
AbstractThe clinical presentation, course and treatment of methamphetamine (METH)-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in diagnosing MAP accurately at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH dependency without psychosis (MA; N=10) and healthy controls (N=10). First, we identified discrete groups of co-expressed genes (that is, modules) and tested them for functional annotation and phenotypic relationships to brain structure volumes, life events and psychometric measurements. We discovered one MAP-associated module involved in ubiquitin-mediated proteolysis downregulation, enriched with 61 genes previously found implicated in psychosis and SCZ across independent blood and post-mortem brain studies using convergent functional genomic (CFG) evidence. This module demonstrated significant relationships with brain structure volumes including the anterior corpus callosum (CC) and the nucleus accumbens. Furthermore, a second MAP and psychoticism-associated module involved in circadian clock upregulation was also enriched with 39 CFG genes, further associated with the CC. Subsequently, a machine-learning analysis of differentially expressed genes identified single blood-based biomarkers able to differentiate controls from methamphetamine dependents with 87% accuracy and MAP from MA subjects with 95% accuracy. CFG evidence validated a significant proportion of these putative MAP biomarkers in independent studies including CLN3, FBP1, TBC1D2 and ZNF821 (RNA degradation), ELK3 and SINA3 (circadian clock) and PIGF and UHMK1 (ubiquitin-mediated proteolysis). Finally, focusing analysis on brain structure volumes revealed significantly lower bilateral hippocampal volumes in MAP subjects. Overall, these results suggest similar molecular and neurocognitive mechanisms underlying the pathophysiology of psychosis and SCZ regardless of substance abuse and provide preliminary evidence supporting the MAP paradigm as an exemplar for SCZ biomarker discovery.
SCZ Keywordsschizophrenia, schizophrenic