551
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552
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Taylor MS, Devon RS, Millar JK, Porteous DJ. Evolutionary constraints on the Disrupted in Schizophrenia locus. Genomics 2003; 81:67-77. [PMID: 12573262 DOI: 10.1016/s0888-7543(02)00026-5] [Citation(s) in RCA: 71] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The Disrupted in Schizophrenia (DISC) locus on human chromosome 1q42 has been strongly implicated by genetic studies as a susceptibility locus for major mental illnesses. In humans the locus is transcriptionally complex, with multiple alternate splicing events, antisense transcription, and intergenic splicing all evident. We have compared the genomic sequence and transcription maps of this locus between human, mouse, pufferfish (Fugu rubripes), and, in part, zebrafish (Danio rerio). The order and orientation of EGLN1, TSNAX, and DISC1 genes are conserved between mammals and F. rubripes. Intergenic splicing and short intergenic transcripts are not found to be conserved features. DISC2, a putative noncoding transcript partially antisense to DISC1, is not conserved in mouse or F. rubripes. Alternate splice forms of the protein-coding DISC1 gene are conserved even though the genomic structure is not. The amino acid sequence of DISC1 is diverging rapidly, although a putative nuclear localization signal and discrete blocks of coiled coil are specifically conserved features.
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Affiliation(s)
- Martin S Taylor
- Medical Genetics Section, Molecular Medicine Centre, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK.
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553
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Sawa A, Snyder SH. Schizophrenia: neural mechanisms for novel therapies. Mol Med 2003; 9:3-9. [PMID: 12765334 PMCID: PMC1430383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
Although valuable antischizophrenic drugs exist, they only partially ameliorate symptoms and elicit substantial side effects. Classic neuroleptic drugs act by blocking dopamine receptors. They can relieve some symptoms but not behavioral withdrawal features that are designated "negative" symptoms. Clozapine and related newer atypical neuroleptics may be more efficacious in relieving negative symptoms. Understandng their actions may facilitate new drug discovery. Agents influencing glutamate neurotransmission and N-methyl-D-aspartate receptors, especially the cotransmitter D-serine, are promising. Stimulation of the alpha7 subtype of nicotinic acetylcholine receptor may also be efficacious. The search for genes linked to schizophrenia has revealed several leads that may permit development of novel therapeutic agents. Promising genes include disrupted-in-schizophrenia-1, dysbindin, and neuregulin.
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Affiliation(s)
- Akira Sawa
- Department of Neuroscience, Johns Hopkins University, School of Medicine, Baltimore, MD 21205
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD 21205
| | - Solomon H Snyder
- Department of Neuroscience, Johns Hopkins University, School of Medicine, Baltimore, MD 21205
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD 21205
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD 21205
- Address correspondence and reprint requests to Solomon H Snyder, Department of Neuroscience, Johns Hopkins University, School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205. Fax: 410-955-3623; e-mail:
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554
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Porteous DJ, Evans KL, Millar JK, Pickard BS, Thomson PA, James R, MacGregor S, Wray NR, Visscher PM, Muir WJ, Blackwood DH. Genetics of schizophrenia and bipolar affective disorder: strategies to identify candidate genes. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2003; 68:383-94. [PMID: 15338640 DOI: 10.1101/sqb.2003.68.383] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- D J Porteous
- Medical Genetics Section, University of Edinburgh, Western General Hospital, Edinburgh, Scotland, EH4 2XU
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555
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Bassett AS, Chow EWC, Vieland VJ, Brzustowicz L. Is schizophrenia linked to chromosome 1q? Science 2002; 298:2277; author reply 2277. [PMID: 12494945 PMCID: PMC3276596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Affiliation(s)
- Anne S Bassett
- Department of Psychiatry, University of Torontoand Clinical Genetics Research Program, Centre for Addiction and Mental Health, 1001 Queen Street West, Toronto, Ontario M6J 1H4, Canada.
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556
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Macgregor S, Visscher PM, Knott S, Porteous D, Muir W, Millar K, Blackwood D. Is Schizophrenia Linked to Chromosome 1q? Science 2002. [DOI: 10.1126/science.1075331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Stuart Macgregor
- Institute of Cell, Animal and Population Biology
Ashworth Laboratory
University of Edinburgh
West Mains Road
Edinburgh, EH9 3JT, UK
E-mail:
| | | | | | - David Porteous
- Department of Medical Genetics
Molecular Medicine Centre
University of Edinburgh
Crewe Road
Edinburgh, EH4 2XU, UK
| | - Walter Muir
- Department of Psychiatry
Kennedy Tower
University of Edinburgh
Morningside Park
Edinburgh, EH10 5HF, UK
| | - Kirsty Millar
- Department of Medical Genetics, Molecular Medicine Centre
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557
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Ewens KG, Johnson LN, Wapelhorst B, O'Brien K, Gutin S, Morrison VA, Street C, Gregory SG, Spielman RS, Concannon P. Linkage and association with type 1 diabetes on chromosome 1q42. Diabetes 2002; 51:3318-25. [PMID: 12401725 DOI: 10.2337/diabetes.51.11.3318] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Type 1 diabetes is a complex disorder with multiple genetic loci and environmental factors contributing to disease etiology. In the current study, a human type 1 diabetes candidate region on chromosome 1q42 was mapped at high marker density in a panel of 616 multiplex type 1 diabetic families. To facilitate the identification and evaluation of candidate genes, a physical map of the 7-cM region surrounding the maximum logarithm of odds (LOD) score (2.46, P = 0.0004) was constructed. Genes were identified in the 500-kb region surrounding the marker yielding the peak LOD score and evaluated for polymorphism by resequencing. Single-nucleotide polymorphisms (SNPs) identified in these genes as well as other anonymous markers were tested for allelic association with type 1 diabetes by both family-based and case-control methods. A haplotype formed by common alleles at three adjacent markers (D1S225, D1S2383, and D1S251) was preferentially transmitted to affected offspring in type 1 diabetic families (nominal P = 0.006). These findings extend the evidence supporting the existence of a type 1 diabetes susceptibility locus on chromosome 1q42 and identify a candidate region amenable to positional cloning efforts.
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Affiliation(s)
- Kathryn G Ewens
- Department of Genetics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
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558
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Brown KJ, Gonsalvez CJ, Harris AWF, Williams LM, Gordon E. Target and non-target ERP disturbances in first episode vs. chronic schizophrenia. Clin Neurophysiol 2002; 113:1754-63. [PMID: 12417228 DOI: 10.1016/s1388-2457(02)00290-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVES Event-related potential (ERP) abnormalities to target stimuli are reliably found in schizophrenia. However, as people with schizophrenia are thought to have difficulty discerning the relevance of incoming sensory stimuli it is also important to examine ERPs to non-targets. To differentiate between potential trait markers of the disease and deficits that might be associated with the consequence of illness chronicity, this study investigated ERPs to both target and non-target stimuli in groups of people with either first episode or chronic schizophrenia (CSz). METHODS Using an auditory oddball paradigm, ERPs to target, non-target before target (Nt before) and non-target after target (Nt after) stimuli were analysed for 40 patients with CSz, 40 patients with first episode schizophrenia (FESz) and two groups of normal controls matched for age and sex with their patient counterparts. RESULTS The FESz group showed the same pattern of amplitude disturbance as the CSz group to both targets (reduced N100, N200, P300 and increased P200) and non-targets (reduced N100) compared to controls. Both CSz and FESz groups also failed to show the changes to the P200-N200 component between targets and non-target stimuli that was exhibited by controls (smaller earlier P200 to targets vs. increased delayed P200 to non-targets) or the reduction in N100 amplitude of ERPs to the Nt after stimuli compared with ERPs to the Nt before stimuli. Previous literature has focussed on the sensitivity of P300 deficits in classifying persons into schizophrenia and non-schizophrenia groups. This study demonstrated improved accuracy in the classification of patients with schizophrenia from controls using discriminant analysis of target and non-target N100 and P200 components. CONCLUSIONS The results suggest that ERP disturbances are evident at the time of first referral to mental health services and may be a potential trait (rather than secondary effect) of the illness. It is important to include both target and non-target stimuli processing, and their interrelationship in future research.
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Affiliation(s)
- K J Brown
- Department of Psychology, The Brain and Behaviour Research Institute, University of Wollongong, Australia.
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559
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Hausmann A, Fleischhacker WW. Differential diagnosis of depressed mood in patients with schizophrenia: a diagnostic algorithm based on a review. Acta Psychiatr Scand 2002; 106:83-96. [PMID: 12121205 DOI: 10.1034/j.1600-0447.2002.02120.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To review the available literature on depressive symptomatology in schizophrenia in order to establish a diagnostic algorithm of depressive syndromes in schizophrenia. METHOD A literature search was performed using PubMed and Medline. Additional information was gained by cross-referencing from papers found in the database. Data from controlled studies as well as supplementary information from review articles and psychiatric manuals pertinent to the topic were used. Depressive symptoms were classified with respect to their temporal relationship to acute psychotic symptoms before the background of nosological entities as operationalized by Diagnostic Statistical Manual IV (DSM IV). RESULTS Depression is a common and devastating comorbid syndrome in patients suffering from schizophrenic disorder. The paper summarizes the relevant diagnostic steps to guide the clinician towards therapeutic interventions, which differ depending on the nature of the depressive syndrome. CONCLUSION Differentiating depressives states in schizophrenia has consequences in terms of choosing therapeutic strategies. An algorithm which leads the practitioner to a reliable diagnosis and in consequence to a valid therapy is presented.
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Affiliation(s)
- A Hausmann
- Department of General Psychiatry, Innsbruck University Hospital, Innsbruck, Austria.
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560
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Kato C, Petronis A, Okazaki Y, Tochigi M, Umekage T, Sasaki T. Molecular genetic studies of schizophrenia: challenges and insights. Neurosci Res 2002; 43:295-304. [PMID: 12135773 DOI: 10.1016/s0168-0102(02)00064-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Schizophrenia (SCZ) is a mental disease that affects approximately 1% of the population with life-long devastating consequences. Based on evidence for a major contribution of genetic factors, a decade of extensive efforts has been dedicated to the search of DNA sequence variations that increase the risk to SCZ. Search for genes in rare multiplex SCZ families with a large number of affected individuals and quasi-Mendelian mode of inheritance using genetic linkage methodology has been one of the favorite strategies in psychiatric genetics. Although several genomic regions were suggested for linkage to SCZ, not a single gene causing or predisposing to SCZ has been identified thus far. Furthermore, it is not clear whether the genes of familial SCZ are also involved in sporadic cases that represent the overwhelming majority of SCZ patients. For sporadic cases, genetic association studies comparing the distribution of allelic frequencies of candidate genes in SCZ patients and controls have been performed but the outcome of such studies has also been quite modest. Several factors such as possible involvement of numerous interactive genes of minor effect, yet unknown environmental effects and diagnostic ambiguities of the disease have made genetic studies in SCZ quite unproductive. In terms of future studies, a genome-wide association search is a promising approach; however, this approach requires genotyping of thousands of genetic markers in large samples. In addition, a detailed analysis of the genes, expression of which changes under the influence of environmental factors, can indicate good candidates for genetic association studies. In this connection, investigations of the epigenetic regulation of genes and not only the DNA sequence variation, may be necessary for complete understanding of the etiopathogenic mechanisms of SCZ.
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Affiliation(s)
- Chieko Kato
- Department of Neuropsychiatry, University of Tokyo, Tokyo, Japan
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561
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Levinson DF, Holmans PA, Laurent C, Riley B, Pulver AE, Gejman PV, Schwab SG, Williams NM, Owen MJ, Wildenauer DB, Sanders AR, Nestadt G, Mowry BJ, Wormley B, Bauché S, Soubigou S, Ribble R, Nertney DA, Liang KY, Martinolich L, Maier W, Norton N, Williams H, Albus M, Carpenter EB, DeMarchi N, Ewen-White KR, Walsh D, Jay M, Deleuze JF, O'Neill FA, Papadimitriou G, Weilbaecher A, Lerer B, O'Donovan MC, Dikeos D, Silverman JM, Kendler KS, Mallet J, Crowe RR, Walters M. No major schizophrenia locus detected on chromosome 1q in a large multicenter sample. Science 2002; 296:739-41. [PMID: 11976456 DOI: 10.1126/science.1069914] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Reports of substantial evidence for genetic linkage of schizophrenia to chromosome 1q were evaluated by genotyping 16 DNA markers across 107 centimorgans of this chromosome in a multicenter sample of 779 informative schizophrenia pedigrees. No significant evidence was observed for such linkage, nor for heterogeneity in allele sharing among the eight individual samples. Separate analyses of European-origin families, recessive models of inheritance, and families with larger numbers of affected cases also failed to produce significant evidence for linkage. If schizophrenia susceptibility genes are present on chromosome 1q, their population-wide genetic effects are likely to be small.
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Affiliation(s)
- Douglas F Levinson
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
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562
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Klar AJS. The chromosome 1;11 translocation provides the best evidence supporting genetic etiology for schizophrenia and bipolar affective disorders. Genetics 2002; 160:1745-7. [PMID: 11973326 PMCID: PMC1462039 DOI: 10.1093/genetics/160.4.1745] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Genetics is assumed to cause susceptibility to psychosis, but no major locus has been identified. These disorders cosegregate with a chromosome 1;11 translocation in a Scottish pedigree where 50% of the carriers are diseased. A genetic model originally proposed to explain the basis of these illnesses predicts such an outcome.
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Affiliation(s)
- Amar J S Klar
- Gene Regulation and Chromosome Biology Laboratory, National Cancer Institute, Frederick, Maryland 21702, USA.
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