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Fedorenko OY, Golimbet VE, Ivanova SА, Levchenko А, Gainetdinov RR, Semke AV, Simutkin GG, Gareeva АE, Glotov АS, Gryaznova A, Iourov IY, Krupitsky EM, Lebedev IN, Mazo GE, Kaleda VG, Abramova LI, Oleichik IV, Nasykhova YA, Nasyrova RF, Nikolishin AE, Kasyanov ED, Rukavishnikov GV, Timerbulatov IF, Brodyansky VM, Vorsanova SG, Yurov YB, Zhilyaeva TV, Sergeeva AV, Blokhina EA, Zvartau EE, Blagonravova AS, Aftanas LI, Bokhan NА, Kekelidze ZI, Klimenko TV, Anokhina IP, Khusnutdinova EK, Klyushnik TP, Neznanov NG, Stepanov VA, Schulze TG, Kibitov АО. Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium. Mol Psychiatry 2019; 24:1099-1111. [PMID: 30664668 PMCID: PMC6756082 DOI: 10.1038/s41380-019-0354-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 12/27/2018] [Accepted: 12/31/2018] [Indexed: 12/18/2022]
Abstract
We provide an overview of the recent achievements in psychiatric genetics research in the Russian Federation and present genotype-phenotype, population, epigenetic, cytogenetic, functional, ENIGMA, and pharmacogenetic studies, with an emphasis on genome-wide association studies. The genetic backgrounds of mental illnesses in the polyethnic and multicultural population of the Russian Federation are still understudied. Furthermore, genetic, genomic, and pharmacogenetic data from the Russian Federation are not adequately represented in the international scientific literature, are currently not available for meta-analyses and have never been compared with data from other populations. Most of these problems cannot be solved by individual centers working in isolation but warrant a truly collaborative effort that brings together all the major psychiatric genetic research centers in the Russian Federation in a national consortium. For this reason, we have established the Russian National Consortium for Psychiatric Genetics (RNCPG) with the aim to strengthen the power and rigor of psychiatric genetics research in the Russian Federation and enhance the international compatibility of this research.The consortium is set up as an open organization that will facilitate collaborations on complex biomedical research projects in human mental health in the Russian Federation and abroad. These projects will include genotyping, sequencing, transcriptome and epigenome analysis, metabolomics, and a wide array of other state-of-the-art analyses. Here, we discuss the challenges we face and the approaches we will take to unlock the huge potential that the Russian Federation holds for the worldwide psychiatric genetics community.
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Affiliation(s)
- Olga Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation.
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation.
| | | | - Svetlana А Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation
| | - Аnastasia Levchenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Raul R Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Arkady V Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - German G Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Аnna E Gareeva
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Аndrey S Glotov
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Ivan Y Iourov
- Mental Health Research Center, Moscow, Russian Federation
| | - Evgeny M Krupitsky
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Igor N Lebedev
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Galina E Mazo
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | | | | | | | - Yulia A Nasykhova
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Regina F Nasyrova
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Anton E Nikolishin
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Evgeny D Kasyanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Grigory V Rukavishnikov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Ilgiz F Timerbulatov
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Vadim M Brodyansky
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Svetlana G Vorsanova
- Veltischev Research and Clinical Institute for Pediatrics, the Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Yury B Yurov
- Mental Health Research Center, Moscow, Russian Federation
| | - Tatyana V Zhilyaeva
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | | | - Elena A Blokhina
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Edwin E Zvartau
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Anna S Blagonravova
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | - Lyubomir I Aftanas
- Federal State Scientific Budgetary Institution "Scientific Research Institute of Physiology and Basic Medicine,", Novosibirsk, Russian Federation
| | - Nikolay А Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Zurab I Kekelidze
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Tatyana V Klimenko
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Irina P Anokhina
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | | | - Nikolay G Neznanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Vadim A Stepanov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Аleksandr О Kibitov
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
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Abstract
Genetic epidemiology has provided consistent evidence that schizophrenia has a genetic component It is now clear that this genetic component is complex and polygenic, with several genes interacting in epistasis. Although molecular studies have failed to identify any DNA variant that clearly contributes to vulnerability to schizophrenia, several regions have been implicated by linkage studies. To overcome the difficulties in the search for schizophrenia genes, it is necessary (i) to use methods of analysis that are appropriate for complex multifactorial disorders; (ii) to gather large enough clinical samples; and (iii) in the absence of genetic validity of the diagnostic classification currently used, to apply new strategies in order to better define the affected phenotypes. For this purpose, we describe here two strategies: (i) the candidate symptom approach, which concerns affected subjects and uses proband characteristics as the affected phenotype, such as age at onset, severity, and negative/positive symptoms; and (ii) the endophenotypic approach, which concerns unaffected relatives and has already provided positive findings with phenotypes, such as P50 inhibitory gating or eye-movement dysfunctions.
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Affiliation(s)
- M Leboyer
- Service de psychiatrie adulte, CHU Albert Chenevier et Henri Mondor, Université Paris XII, Créteil, France
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Abstract
OBJECTIVE Bipolar disorder (BD) II is characterized by recurrent hypomanic and depressive episodes and has been somewhat of a controversial diagnosis since its description in the 1970s. Clinical opinions notwithstanding, the biological validity of BD II was supported in a genetic study of 58 multiplex bipolar families wherein the statistical evidence for linkage derived from BD II sibling-pairs sharing marker alleles on chromosome 18q. The BD II phenotype alone has never been studied in a genome-wide scan analysis in the current or other bipolar family samples. We have performed genome-wide non-parametric analysis on 74 bipolar pedigrees using only the BD II phenotype as affection model. METHODS This sample consists of the 65 pedigrees previously reported and 9 additional novel pedigrees that had BD II exclusively, as the affected phenotype. In the entire sample, there were 146 all possible relative-pairs. Analysis was performed using the non-parametric method in GENEHUNTER, with the 'ALL' option that computes linkage scores in all individuals in a pedigree simultaneously. RESULTS The current analyses supported the previous finding on chromosome 18q21. In addition a peak with a non-parametric LOD (NPL) of 2.07 occurred between D9S915 and D9S2157, located on 9q34. Analysis of the nine BD II families alone identified peaks on 9p13 and 9q33, with NPL scores of 3.20 and 2.09, respectively. There was no evidence at 18q21 in these nine families. CONCLUSIONS This suggests that there may be substantial differences in the etiology of BD in families that have BD II exclusively as the diagnosis.
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Affiliation(s)
- Evaristus A Nwulia
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Schwarz MJ, Krönig H, Riedel M, Dehning S, Douhet A, Spellmann I, Ackenheil M, Möller HJ, Müller N. IL-2 and IL-4 polymorphisms as candidate genes in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2006; 256:72-6. [PMID: 16091861 DOI: 10.1007/s00406-005-0603-9] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2004] [Accepted: 05/24/2005] [Indexed: 01/14/2023]
Abstract
An immune process, characterized by a relative predominance of the T helper-2 (Th2) system and possibly induced by a viral infection,may be involved in the pathophysiology of schizophrenia. In this context, functional polymorphisms in the Interleukin-2 (IL-2) and Interleukin-4 (IL-4) genes appear to be principal candidates for genetic schizophrenia research. Further evidence for these candidate genes comes from several linkage analyses, pointing to susceptibility gene loci on chromosomes 4q and 5q, where the genes coding for IL- 2 and IL-4 are located. We carried out a case-control study including 230 schizophrenic patients and 251 healthy persons, investigating the IL-2 -330 T/G single nucleotide polymorphism (SNP) and the IL-4 -590 C/T SNP. A significant association of the IL-2 -330 TT genotype and of the IL-4 -590 CC genotype with schizophrenia could be identified. Our findings may partly account for the relative predominance of the Th2 system in schizophrenia, although they cannot directly explain this immunological imbalance, but may be related to an altered antiviral immune response in patients with schizophrenia.
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Affiliation(s)
- Markus J Schwarz
- Psychiatric Hospital, Ludwig-Maximilian University Munich, Nussbaumstr. 7, 80336, Munich, Germany
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Kato T, Iwayama Y, Kakiuchi C, Iwamoto K, Yamada K, Minabe Y, Nakamura K, Mori N, Fujii K, Nanko S, Yoshikawa T. Gene expression and association analyses of LIM (PDLIM5) in bipolar disorder and schizophrenia. Mol Psychiatry 2005; 10:1045-55. [PMID: 16044170 DOI: 10.1038/sj.mp.4001719] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We previously reported that expression level of LIM (ENH, PDLIM5) was significantly and commonly increased in the brains of patients with bipolar disorder, schizophrenia, and major depression. Expression of LIM was decreased in the lymphoblastoid cells derived from patients with bipolar disorders and schizophrenia. LIM protein reportedly plays an important role in linking protein kinase C with calcium channel. These findings suggested the role of LIM in the pathophysiology of bipolar disorder and schizophrenia. To further investigate the role of LIM in these mental disorders, we performed a replication study of gene expression analysis and performed genetic association studies. Upregulation of LIM was confirmed in the independent sample set obtained from Stanley Array Collection. No effect of sample pH or medication was observed. Genetic association study revealed the association of single nucleotide polymorphism (SNP)1 (rs10008257) with bipolar disorder. In an independent sample set, SNP2 (rs2433320) close to SNP1 was associated with bipolar disorder. In total samples, haplotype of these two SNPs was associated with bipolar disorder. No association was observed in case-control analysis and family-based association analysis in schizophrenia. These results suggest that SNPs in the upstream region of LIM may confer the genetic risk for bipolar disorder.
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Affiliation(s)
- T Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako-shi, Saitama, Japan.
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Gerber DJ, Hall D, Miyakawa T, Demars S, Gogos JA, Karayiorgou M, Tonegawa S. Evidence for association of schizophrenia with genetic variation in the 8p21.3 gene, PPP3CC, encoding the calcineurin gamma subunit. Proc Natl Acad Sci U S A 2003; 100:8993-8. [PMID: 12851458 PMCID: PMC166426 DOI: 10.1073/pnas.1432927100] [Citation(s) in RCA: 193] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Schizophrenia is a severe psychiatric disorder characterized by a complex mode of inheritance. Forebrain-specific CNB knockout mice display a spectrum of behavioral abnormalities related to altered behaviors observed in schizophrenia patients. To examine whether calcineurin dysfunction is involved in schizophrenia etiology, we undertook studies of an initial subset of calcineurin-related genes, prioritizing ones that map to loci previously implicated in schizophrenia by linkage studies. Transmission disequilibrium studies in a large sample of affected families detected association of the PPP3CC gene, which encodes the calcineurin gamma catalytic subunit, with disease. Our results identify PPP3CC, located at 8p21.3, as a potential schizophrenia susceptibility gene and support the proposal that alterations in calcineurin signaling contribute to schizophrenia pathogenesis.
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Affiliation(s)
- David J Gerber
- Howard Hughes Medical Institute, RIKEN/Massachusetts Institute of Technology Neuroscience Research Center, The Picower Center for Learning and Memory, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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7
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Abstract
Schizophrenia is a common and debilitating illness, characterized by chronic psychotic symptoms and psychosocial impairment that exact considerable human and economic costs. The literature in electronic databases as well as citations and major articles are reviewed with respect to the phenomenology, pathology, treatment, genetics and neurobiology of schizophrenia. Although studied extensively from a clinical, psychological, biological and genetic perspective, our expanding knowledge of schizophrenia provides only an incomplete understanding of this complex disorder. Recent advances in neuroscience have allowed the confirmation or refutation of earlier findings in schizophrenia, and permit useful comparisons between the different levels of organization from which the illness has been studied. Schizophrenia is defined as a clinical syndrome that may include a collection of diseases that share a common presentation. Genetic factors are the most important in the etiology of the disease, with unknown environmental factors potentially modulating the expression of symptoms. Schizophrenia is a complex genetic disorder in which many genes may be implicated, with the possibility of gene-gene interactions and a diversity of genetic causes in different families or populations. A neurodevelopmental rather than degenerative process has received more empirical support as a general explanation of the pathophysiology, although simple dichotomies are not particularly helpful in such a complicated disease. Structural brain changes are present in vivo and post-mortem, with both histopathological and imaging studies in overall agreement that the temporal and frontal lobes of the cerebral cortex are the most affected. Functional imaging, neuropsychological testing and clinical observation are also generally consistent in demonstrating deficits in cognitive ability that correlate with abnormalities in the areas of the brain with structural abnormalities. The dopamine and other neurotransmitter systems are certainly involved in the treatment or modulation of psychotic symptoms. These broad findings represent the distillation of a large body of disparate data, but firm and specific findings are sparse, and much about schizophrenia remains unknown.
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Affiliation(s)
- Albert Hung Choy Wong
- Centre for Addiction and Mental Health, 250 College Street, M5T 1R8, Toronto, Ont., Canada.
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8
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Abstract
Genetic epidemiology has provided consistent evidence over many years that schizophrenia has a genetic component, and that this genetic component is complex, polygenic, and involves epistatic interaction between loci. Molecular genetics studies have, however, so far failed to identify any DNA variant that can be demonstrated to contribute to either liability to schizophrenia or to any identifiable part of the underlying pathology. Replication studies of positive findings have been difficult to interpret for a variety of reasons. First, few have reproduced the initial findings, which may be due either to random variation between two samples in the genetic inputs involved, or to a lack of power to replicate an effect at a given alpha level. Where positive data have been found in replication studies, the positioning of the locus has been unreliable, leading no closer to positional cloning of genes involved. However, an assessment of all the linkage studies performed over the past ten years does suggest a number of regions where positive results are found numerous times. These include regions on chromosomes 1, 2, 4, 5, 6, 7, 8, 9, 10, 13, 15, 18, 22 and the X. All of these data are critically reviewed and their locations compared. Reasons for the difficulty in obtaining consistent results and possible strategies for overcoming them are discussed. Am. J. Med. Genet. (Semin. Med. Genet.) 97:23-44, 2000.
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Affiliation(s)
- B P Riley
- MRC Research Fellow, Department of Psychological Medicien and the Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, Kings college, London.
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9
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Kato T, Iwamoto K, Washizuka S, Mori K, Tajima O, Akiyama T, Nanko S, Kunugi H, Kato N. No association of mutations and mRNA expression of WFS1/wolframin with bipolar disorder in humans. Neurosci Lett 2003; 338:21-4. [PMID: 12565131 DOI: 10.1016/s0304-3940(02)01334-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Association of WFS1 (wolframin) and bipolar disorder has been suggested by psychiatric manifestations in patients or non-symptomatic carriers of Wolfram disease and linkage of bipolar disorder with 4p16, the locus of WFS1. Five studies of WFS1 in bipolar disorder did not support this association, although possible association of several missense mutations has not been excluded yet. In this study, four such mutations were genotyped in 184 patients with bipolar disorder and 207 controls. None had the A559T and A602V mutations, and no association of G576S and H611R with bipolar disorder was found. We also quantified the expression levels of WFS1 mRNA in the postmortem brains of patients with bipolar disorder, depression, schizophrenia, and controls. There was no significant difference of the expression levels. These results did not support the pathophysiological significance of WFS1 in bipolar disorder.
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Affiliation(s)
- Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, Brain Science Institute, RIKEN, Hirosawa 2-1, Wako, Saitama 351-0198, Japan.
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10
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Bennett P, Segurado R, Jones I, Bort S, McCandless F, Lambert D, Heron J, Comerford C, Middle F, Corvin A, Pelios G, Kirov G, Larsen B, Mulcahy T, Williams N, O'Connell R, O'Mahony E, Payne A, Owen M, Holmans P, Craddock N, Gill M. The Wellcome trust UK-Irish bipolar affective disorder sibling-pair genome screen: first stage report. Mol Psychiatry 2002; 7:189-200. [PMID: 11840312 DOI: 10.1038/sj.mp.4000957] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2001] [Revised: 05/21/2001] [Accepted: 05/21/2001] [Indexed: 11/09/2022]
Abstract
We have completed the first stage of a two-stage genome wide screen designed to identify chromosomal regions that may harbour susceptibility genes for bipolar affective disorder. The first stage screening sample included 509 subjects from 151 nuclear families recruited within the United Kingdom and Republic of Ireland. This sample contained 154 narrowly defined affected sibling pairs (DSM-IV BPI) and 258 broadly defined affected sibling pairs (DSM-IV BPI, SABP, BPII, BPNOS or MDD(R)), approximately two thirds of all families contained at least one other additional typed individual. All individuals were genotyped using 398 highly polymorphic microsatellite markers from Applied Biosystems's Linkage Mapping Set Version 2. The average inter-marker distance was 9.6 cM and the mean heterozygosity was 0.78. Analysis of these data using non-parametric linkage methods (MAPMAKER/SIBS) found no evidence for loci of major effect and no regions reached genome-wide significance for either suggestive or significant linkage. We identified 19 points across the genome where the MLS exceeded a value set for follow up in our second stage screen (MLS > or = 0.74 (equivalent to a nominal pointwise significance of 5%) under the narrowest diagnostic model). These points were on chromosomes 2, 3, 4, 6, 7, 9, 10, 12, 17, 18 & X. Some of these points overlapped with previous linkage reports both within bipolar affective disorder and other psychiatric illnesses. Under the narrowest diagnostic model, the single most significant multipoint linkage was on chromosome 18 at marker D18S452 (MLS=1.54). Overall the highest MLS was 1.70 on chromosome 2 at marker D2S125, under the broadest diagnostic model.
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Affiliation(s)
- P Bennett
- Molecular Psychiatry Group, Division of Neuroscience, University of Birmingham, Queen Elizabeth Psychiatric Hospital, Edgbaston, Birmingham, B15 2QZ, UK
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11
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Abstract
Many genetic studies have focussed on dopamine receptors and their relationship to neuropsychiatric disease. Schizophrenia, bipolar disorder, and substance abuse have been the most studied, but no conclusive linkage or association has been found. The possible influence of dopamine receptor variants on drug response has not received as much attention. While there is some evidence that polymorphisms and mutations in dopamine receptors can alter functional activity and pharmacological profiles, no conclusive data link these gene variants to drug response or disease. The lack of unequivocal findings may be related, in part, to the subtle changes in receptor pharmacology that these polymorphisms and mutations mediate. These subtle effects may be obscured by the influence of genes controlling drug metabolism and kinetics. Further insight into the pharmacogenetics of dopamine receptors may require not just more studies, but novel approaches to the study of complex genetic traits and diseases.
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MESH Headings
- Animals
- Dopamine Agents/pharmacology
- Humans
- Polymorphism, Genetic/genetics
- Receptors, Dopamine/drug effects
- Receptors, Dopamine/genetics
- Receptors, Dopamine D1/drug effects
- Receptors, Dopamine D1/genetics
- Receptors, Dopamine D2/drug effects
- Receptors, Dopamine D2/genetics
- Receptors, Dopamine D3
- Receptors, Dopamine D4
- Receptors, Dopamine D5
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Affiliation(s)
- A H Wong
- Centre for Addiction and Mental Health, 250 College Street, M5T 1R8, Toronto, ON, Canada.
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12
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Bennett CN, Horrobin DF. Gene targets related to phospholipid and fatty acid metabolism in schizophrenia and other psychiatric disorders: an update. Prostaglandins Leukot Essent Fatty Acids 2000; 63:47-59. [PMID: 10970713 DOI: 10.1054/plef.2000.0191] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Phospholipids make up about 60% of the brain's dry weight and play key roles in many brain signal tranduction mechanisms. A recent review(1)identified the increasing evidence that abnormal phospholipid and related fatty acid metabolism may contribute to illnesses such as schizophrenia, bipolar disorder, depression and attention deficit hyperactivity disorder. This current paper reviews the main pathways of phospholipid metabolism, emphasizing the role of phospholipases of the A2 in signal tranduction processes. It also updates the chromosomal locations of regions likely to be involved in these disorders, and relates these to the known locations of genes directly or indirectly involved in phospholipid and fatty acid metabolism.
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DeLisi LE, Craddock NJ, Detera-Wadleigh S, Foroud T, Gejman P, Kennedy JL, Lendon C, Macciardi F, McKeon P, Mynett-Johnson L, Nurnberger JI, Paterson A, Schwab S, Van Broeckhoven C, Wildenauer D, Crow TJ. Update on chromosomal locations for psychiatric disorders: report of the interim meeting of chromosome workshop chairpersons from the VIIth World Congress of Psychiatric Genetics, Monterey, California, October 14-18, 1999. AMERICAN JOURNAL OF MEDICAL GENETICS 2000; 96:434-49. [PMID: 10898931 DOI: 10.1002/1096-8628(20000612)96:3<434::aid-ajmg40>3.0.co;2-c] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- L E DeLisi
- Department of Psychiatry, SUNY Stony Brook, NY 11794, USA.
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14
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El-Shanti H, Lidral AC, Jarrah N, Druhan L, Ajlouni K. Homozygosity mapping identifies an additional locus for Wolfram syndrome on chromosome 4q. Am J Hum Genet 2000; 66:1229-36. [PMID: 10739754 PMCID: PMC1288190 DOI: 10.1086/302858] [Citation(s) in RCA: 91] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/1999] [Accepted: 01/31/2000] [Indexed: 11/04/2022] Open
Abstract
Wolfram syndrome, which is sometimes referred to as "DIDMOAD" (diabetes insipidus, diabetes mellitus, optic atrophy, and deafness), is an autosomal recessive neurodegenerative disorder for which only insulin-dependent diabetes mellitus and optic atrophy are necessary to make the diagnosis. Researchers have mapped Wolfram syndrome to chromosome 4p16.1, and, recently, a gene encoding a putative transmembrane protein has been cloned and mutations have been identified in patients. To pursue the possibility of locus heterogeneity, 16 patients from four different families were recruited. These patients, who have the Wolfram syndrome phenotype, also have additional features that have not previously been reported. There is an absence of diabetes insipidus in all affected family members. In addition, several patients have profound upper gastrointestinal ulceration and bleeding. With the use of three microsatellite markers (D4S432, D4S3023, and D4S2366) reported to be linked to the chromosome 4p16.1 locus, we significantly excluded linkage in three of the four families. The two affected individuals in one family showed homozygosity for all three markers from the region of linkage on chromosome 4p16.1. For the other three families, genetic heterogeneity for Wolfram syndrome was verified by demonstration of linkage to chromosome 4q22-24. In conclusion, we report the unique clinical findings and linkage-analysis results of 16 patients with Wolfram syndrome and provide further evidence for the genetic heterogeneity of this disorder. We also provide data on a new locus that plays a role in the etiology of insulin-dependent diabetes mellitus.
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Affiliation(s)
- Hatem El-Shanti
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Andrew C. Lidral
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Nadim Jarrah
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Lawrence Druhan
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Kamel Ajlouni
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
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15
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Friddle C, Koskela R, Ranade K, Hebert J, Cargill M, Clark CD, McInnis M, Simpson S, McMahon F, Stine OC, Meyers D, Xu J, MacKinnon D, Swift-Scanlan T, Jamison K, Folstein S, Daly M, Kruglyak L, Marr T, DePaulo JR, Botstein D. Full-genome scan for linkage in 50 families segregating the bipolar affective disease phenotype. Am J Hum Genet 2000; 66:205-15. [PMID: 10631152 PMCID: PMC1288327 DOI: 10.1086/302697] [Citation(s) in RCA: 64] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/1999] [Accepted: 10/26/1999] [Indexed: 11/03/2022] Open
Abstract
A genome scan of approximately 12-cM initial resolution was done on 50 of a set of 51 carefully ascertained unilineal multiplex families segregating the bipolar affective disorder phenotype. In addition to standard multipoint linkage analysis methods, a simultaneous-search algorithm was applied in an attempt to surmount the problem of genetic heterogeneity. The results revealed no linkage across the genome. The results exclude monogenic models and make it unlikely that two genes account for the disease in this sample. These results support the conclusion that at least several hundred kindreds will be required in order to establish linkage of susceptibility loci to bipolar disorder in heterogeneous populations.
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Affiliation(s)
- Carl Friddle
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Rebecca Koskela
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Koustubh Ranade
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Joan Hebert
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Michele Cargill
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Chris D. Clark
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Melvin McInnis
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Sylvia Simpson
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Francis McMahon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - O. Colin Stine
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Deborah Meyers
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Jianfeng Xu
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Dean MacKinnon
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Theresa Swift-Scanlan
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Kay Jamison
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Susan Folstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Mark Daly
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Leonid Kruglyak
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - Thomas Marr
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - J. Raymond DePaulo
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
| | - David Botstein
- Department
of Genetics, Stanford University, Stanford, CA; Department of
Computational Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor,
NY; Department of Psychiatry, Johns Hopkins University School
of Medicine, Baltimore; Tufts University School of Medicine,
Boston; and Whitehead Institute for Biomedical Research,
Cambridge, MA
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