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Almodóvar-Payá C, Guardiola-Ripoll M, Giralt-López M, Gallego C, Salgado-Pineda P, Miret S, Salvador R, Muñoz MJ, Lázaro L, Guerrero-Pedraza A, Parellada M, Carrión MI, Cuesta MJ, Maristany T, Sarró S, Fañanás L, Callado LF, Arias B, Pomarol-Clotet E, Fatjó-Vilas M. NRN1 Gene as a Potential Marker of Early-Onset Schizophrenia: Evidence from Genetic and Neuroimaging Approaches. Int J Mol Sci 2022; 23:ijms23137456. [PMID: 35806464 PMCID: PMC9267632 DOI: 10.3390/ijms23137456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 12/10/2022] Open
Abstract
Included in the neurotrophins family, the Neuritin 1 gene (NRN1) has emerged as an attractive candidate gene for schizophrenia (SZ) since it has been associated with the risk for the disorder and general cognitive performance. In this work, we aimed to further investigate the association of NRN1 with SZ by exploring its role on age at onset and its brain activity correlates. First, we developed two genetic association analyses using a family-based sample (80 early-onset (EO) trios (offspring onset ≤ 18 years) and 71 adult-onset (AO) trios) and an independent case–control sample (120 healthy subjects (HS), 87 EO and 138 AO patients). Second, we explored the effect of NRN1 on brain activity during a working memory task (N-back task; 39 HS, 39 EO and 39 AO; matched by age, sex and estimated IQ). Different haplotypes encompassing the same three Single Nucleotide Polymorphisms(SNPs, rs3763180–rs10484320–rs4960155) were associated with EO in the two samples (GCT, TCC and GTT). Besides, the GTT haplotype was associated with worse N-back task performance in EO and was linked to an inefficient dorsolateral prefrontal cortex activity in subjects with EO compared to HS. Our results show convergent evidence on the NRN1 association with EO both from genetic and neuroimaging approaches, highlighting the role of neurotrophins in the pathophysiology of SZ.
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Affiliation(s)
- Carmen Almodóvar-Payá
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Maria Guardiola-Ripoll
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Maria Giralt-López
- Departament de Psiquiatria, Hospital Universitari Germans Trias i Pujol (HUGTP), 08916 Badalona, Barcelona, Spain;
- Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain
| | - Carme Gallego
- Department of Cell Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), 08028 Barcelona, Barcelona, Spain;
| | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Salvador Miret
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Centre de Salut Mental d’Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria de Lleida, 25198 Lleida, Lleida, Spain
- Institut de Recerca Biomèdica (IRB), 25198 Lleida, Lleida, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - María J. Muñoz
- Complex Assistencial en Salut Mental Benito Menni, 08830 Sant Boi de Llobregat, Barcelona, Spain;
| | - Luisa Lázaro
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, 08036 Barcelona, Barcelona, Spain
- Departament de Medicina, Universitat de Barcelona (UB), 08036 Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Barcelona, Spain
| | - Amalia Guerrero-Pedraza
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Complex Assistencial en Salut Mental Benito Menni, 08830 Sant Boi de Llobregat, Barcelona, Spain;
| | - Mara Parellada
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), 28007 Madrid, Madrid, Spain
- Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Madrid, Spain
| | | | - Manuel J. Cuesta
- Servicio de Psiquiatría, Hospital Universitario de Navarra, 31008 Pamplona, Navarra, Spain;
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Navarra, Spain
| | - Teresa Maristany
- Departament de Diagnòstic per la Imatge, Hospital Sant Joan de Déu Fundació de Recerca, 08950 Esplugues de Llobregat, Barcelona, Spain;
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Lourdes Fañanás
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Barcelona, Spain
| | - Luis F. Callado
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Bizkaia, Spain
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain
| | - Bárbara Arias
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Correspondence: (E.P.-C.); (M.F.-V.)
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Correspondence: (E.P.-C.); (M.F.-V.)
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Saiz PA, Garcia-Portilla MP, Arango C, Morales B, Alvarez V, Coto E, Fernandez JM, Bousono M, Bobes J. N-acetyltransferase-2 polymorphisms and schizophrenia. Eur Psychiatry 2020; 21:333-7. [PMID: 16529914 DOI: 10.1016/j.eurpsy.2005.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2005] [Accepted: 12/15/2005] [Indexed: 11/22/2022] Open
Affiliation(s)
- Pilar Alejandra Saiz
- School of Medicine, University of Oviedo, Department of Psychiatry, Julian Claveria 6 - 3th, 33006, Oviedo, Asturias, Spain.
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Sun CP, Sun D, Luan ZL, Dai X, Bie X, Ming WH, Sun XW, Huo XX, Lu TL, Zhang D. Association of SOX11 Polymorphisms in distal 3'UTR with Susceptibility for Schizophrenia. J Clin Lab Anal 2020; 34:e23306. [PMID: 32207210 PMCID: PMC7439430 DOI: 10.1002/jcla.23306] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/26/2020] [Accepted: 02/29/2020] [Indexed: 12/25/2022] Open
Abstract
Background Diverse and circumstantial evidence suggests that schizophrenia is a neurodevelopmental disorder. Genes contributing to neurodevelopment may be potential candidates for schizophrenia. The human SOX11 gene is a member of the developmentally essential SOX (Sry‐related HMG box) transcription factor gene family and mapped to chromosome 2p, a potential candidate region for schizophrenia. Methods Our previous genome‐wide association study (GWAS) implicated an involvement of SOX11 with schizophrenia in a Chinese Han population. To further investigate the association between SOX11 polymorphisms and schizophrenia, we performed an independent replication case‐control association study in a sample including 768 cases and 1348 controls. Results After Bonferroni correction, four SNPs in SOX11 distal 3′UTR significantly associated with schizophrenia in the allele frequencies: rs16864067 (allelic P = .0022), rs12478711 (allelic P = .0009), rs2564045 (allelic P = .0027), and rs2252087 (allelic P = .0025). The haplotype analysis of the selected SNPs showed different haplotype frequencies for two blocks (rs4371338‐rs7596062‐rs16864067‐rs12478711 and rs2564045‐rs2252087‐rs2564055‐rs1366733) between cases and controls. Further luciferase assay and electrophoretic mobility shift assay (EMSA) revealed the schizophrenia‐associated SOX11 SNPs may influence SOX11 gene expression, and the risk and non‐risk alleles may have different affinity to certain transcription factors and can recruit divergent factors. Conclusions Our results suggest SOX11 as a susceptibility gene for schizophrenia, and SOX11 polymorphisms and haplotypes in the distal 3′UTR of the gene might modulate transcriptional activity by serving as cis‐regulatory elements and recruiting transcriptional activators or repressors. Also, these SNPs may potentiate as diagnostic markers for the disease.
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Affiliation(s)
- Cheng-Peng Sun
- Advanced Institute for Medical Sciences, College of Pharmacy, Dalian Medical University, Dalian, China
| | - Dong Sun
- Department of Otolaryngology-Head and Neck Surgery, The 2nd Affiliated Hospital to Dalian Medical University, Dalian, China
| | - Zhi-Lin Luan
- Advanced Institute for Medical Sciences, College of Pharmacy, Dalian Medical University, Dalian, China.,Peking University Sixth Hospital (Institute of Mental Health), Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health (Peking University), Ministry of Health, Beijing, China
| | - Xin Dai
- Department of Neuroscience, Medical Physiology, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Bie
- Department of Otolaryngology-Head and Neck Surgery, The 2nd Affiliated Hospital to Dalian Medical University, Dalian, China
| | - Wen-Hua Ming
- Advanced Institute for Medical Sciences, College of Pharmacy, Dalian Medical University, Dalian, China
| | - Xiao-Wan Sun
- Advanced Institute for Medical Sciences, College of Pharmacy, Dalian Medical University, Dalian, China
| | - Xiao-Xiao Huo
- Advanced Institute for Medical Sciences, College of Pharmacy, Dalian Medical University, Dalian, China
| | - Tian-Lan Lu
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health (Peking University), Ministry of Health, Beijing, China
| | - Dai Zhang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health (Peking University), Ministry of Health, Beijing, China
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Peek SL, Mah KM, Weiner JA. Regulation of neural circuit formation by protocadherins. Cell Mol Life Sci 2017; 74:4133-4157. [PMID: 28631008 PMCID: PMC5643215 DOI: 10.1007/s00018-017-2572-3] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 06/01/2017] [Accepted: 06/13/2017] [Indexed: 12/20/2022]
Abstract
The protocadherins (Pcdhs), which make up the most diverse group within the cadherin superfamily, were first discovered in the early 1990s. Data implicating the Pcdhs, including ~60 proteins encoded by the tandem Pcdha, Pcdhb, and Pcdhg gene clusters and another ~10 non-clustered Pcdhs, in the regulation of neural development have continually accumulated, with a significant expansion of the field over the past decade. Here, we review the many roles played by clustered and non-clustered Pcdhs in multiple steps important for the formation and function of neural circuits, including dendrite arborization, axon outgrowth and targeting, synaptogenesis, and synapse elimination. We further discuss studies implicating mutation or epigenetic dysregulation of Pcdh genes in a variety of human neurodevelopmental and neurological disorders. With recent structural modeling of Pcdh proteins, the prospects for uncovering molecular mechanisms of Pcdh extracellular and intracellular interactions, and their role in normal and disrupted neural circuit formation, are bright.
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Affiliation(s)
- Stacey L Peek
- Interdisciplinary Graduate Program in Neuroscience, The University of Iowa, Iowa City, IA, USA
- Department of Biology, The University of Iowa, Iowa City, IA, USA
| | - Kar Men Mah
- Department of Biology, The University of Iowa, Iowa City, IA, USA
| | - Joshua A Weiner
- Department of Biology, The University of Iowa, Iowa City, IA, USA.
- Department of Psychiatry, The University of Iowa, 143 Biology Building, Iowa City, IA, 52242, USA.
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5
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Association between NAT2 polymorphisms and the risk of schizophrenia in a Northern Chinese Han population. Psychiatr Genet 2017; 27:71-75. [PMID: 28187106 DOI: 10.1097/ypg.0000000000000164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The gene that encodes N-acetyltransferase 2 (NAT2), an enzyme that plays a crucial role in the metabolism of many drugs and xenobiotics, is located on chromosome 8p22, one of the most convictive susceptibility loci of schizophrenia. NAT2 genetic polymorphisms lead to various enzyme acetylation phenotypes. In the present study, six selected NAT2 exonic single nucleotide polymorphisms were genotyped in an independent case-control sample of a Northern Chinese Han population to verify the possible association between NAT2 and schizophrenia. Three (rs1801280T/341C, rs1799930/G590A, and rs1208/A803G) of the six single nucleotide polymorphisms showed significant allele frequency differences between the case and the control groups after rigorous Bonferroni correction. One protective fast-acetylation haplotype (NAT2*4) and two risk slow acetylation haplotypes (NAT2*5B and NAT2*6A) were discovered to be associated with schizophrenia. Our results indicate that NAT2 may be a susceptibility gene for schizophrenia in this Chinese Han population, and the risk haplotypes might cause the impairment of NAT2 in metabolizing neurotoxic substances.
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Becker-Krail D, Farrand AQ, Boger HA, Lavin A. Effects of fingolimod administration in a genetic model of cognitive deficits. J Neurosci Res 2016; 95:1174-1181. [PMID: 27439747 DOI: 10.1002/jnr.23799] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 05/23/2016] [Accepted: 05/30/2016] [Indexed: 11/09/2022]
Abstract
Notwithstanding recent advances, cognitive impairments are among the most difficult-to-treat symptoms in neuropsychiatric disorders. Deficits in information processing contributing to memory and sociability impairments are found across neuropsychiatric-related disorders. Previously, we have shown that mutations in the DTNBP1 gene (encoding dystrobrevin-binding protein 1 [dysbindin-1]) lead to abnormalities in synaptic glutamate release in the prefrontal cortex (PFC) and hippocampus and to cognitive deficits; glutamatergic transmission is important for cortical recurrent excitation that allows information processing in the PFC. To investigate possible means of restoring glutamate release and improving cognitive impairments, we assess the effects of increasing endogenous levels of brain-derived neurotrophic factor (BDNF) in a dysbindin-1-deficient mouse model. Increasing endogenous levels of BDNF may aid in remediating cognitive deficits, given the roles of BDNF in synaptic transmission, plasticity, and neuroprotection. To increase BDNF, we use a novel strategy, repeated intraperitoneal injections of fingolimod (Gilenya). Sphingolipids have recently been shown to have therapeutic value in several neurology-related disorders. Both wild-type (WT) and mutant (MUT) genotypes were tested for sociability and recognition memory, followed by measuring endogenous BDNF levels and presynaptic [Ca2+ ]i within the PFC. Both genotypes were treated for 1 week with either saline or fingolimod. Relative to WT mice, MUT mice demonstrated impairments in sociability and recognition memory and lower presynaptic calcium. After fingolimod treatment, MUT mice exhibited significant improvements in sociability and recognition memory and increases in presynaptic calcium and endogenous concentrations of BDNF. These results show promise for counteracting the cognitive impairments seen in neuropsychiatric disorders and may shed light on the role of dysbindin-1. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
| | - A Q Farrand
- Deptartment of Neuroscience, Medical University of South Carolina, Charleston, South Carolina
| | - H A Boger
- Deptartment of Neuroscience, Medical University of South Carolina, Charleston, South Carolina
| | - A Lavin
- Deptartment of Neuroscience, Medical University of South Carolina, Charleston, South Carolina
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Spiegel S, Chiu A, James AS, Jentsch JD, Karlsgodt KH. Recognition deficits in mice carrying mutations of genes encoding BLOC-1 subunits pallidin or dysbindin. GENES BRAIN AND BEHAVIOR 2015; 14:618-24. [PMID: 26294018 DOI: 10.1111/gbb.12240] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Revised: 08/04/2015] [Accepted: 08/14/2015] [Indexed: 01/31/2023]
Abstract
Numerous studies have implicated DTNBP1, the gene encoding dystrobrevin-binding protein or dysbindin, as a candidate risk gene for schizophrenia, though this relationship remains somewhat controversial. Variation in dysbindin, and its location on chromosome 6p, has been associated with cognitive processes, including those relying on a complex system of glutamatergic and dopaminergic interactions. Dysbindin is one of the seven protein subunits that comprise the biogenesis of lysosome-related organelles complex 1 (BLOC-1). Dysbindin protein levels are lower in mice with null mutations in pallidin, another gene in the BLOC-1, and pallidin levels are lower in mice with null mutations in the dysbindin gene, suggesting that multiple subunit proteins must be present to form a functional oligomeric complex. Furthermore, pallidin and dysbindin have similar distribution patterns in a mouse and human brain. Here, we investigated whether the apparent correspondence of pallid and dysbindin at the level of gene expression is also found at the level of behavior. Hypothesizing a mutation leading to underexpression of either of these proteins should show similar phenotypic effects, we studied recognition memory in both strains using the novel object recognition task (NORT) and social novelty recognition task (SNRT). We found that mice with a null mutation in either gene are impaired on SNRT and NORT when compared with wild-type controls. These results support the conclusion that deficits consistent with recognition memory impairment, a cognitive function that is impaired in schizophrenia, result from either pallidin or dysbindin mutations, possibly through degradation of BLOC-1 expression and/or function.
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Affiliation(s)
- S Spiegel
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - A Chiu
- Department of Pharmacology, University of California Irvine, Irvine
| | - A S James
- Department of Psychology, UCLA, Los Angeles, CA
| | - J D Jentsch
- Department of Psychology, UCLA, Los Angeles, CA.,Department of Psychiatry, UCLA, Los Angeles, CA
| | - K H Karlsgodt
- Psychiatry Research Division, Zucker Hillside Hospital, Glen Oaks.,Psychiatry Research Division, Feinstein Institute for Medical Research, Manhasset.,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, USA
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Gago-Rodrigues I, Fernández-Miñán A, Letelier J, Naranjo S, Tena JJ, Gómez-Skarmeta JL, Martinez-Morales JR. Analysis of opo cis-regulatory landscape uncovers Vsx2 requirement in early eye morphogenesis. Nat Commun 2015; 6:7054. [DOI: 10.1038/ncomms8054] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 03/26/2015] [Indexed: 11/09/2022] Open
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Tan GKN, Tee SF, Tang PY. Genetic association of single nucleotide polymorphisms in dystrobrevin binding protein 1 gene with schizophrenia in a Malaysian population. Genet Mol Biol 2015; 38:138-46. [PMID: 26273215 PMCID: PMC4530642 DOI: 10.1590/s1415-4757382220140142] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 12/15/2014] [Indexed: 12/19/2022] Open
Abstract
Dystrobrevin binding protein 1 (DTNBP1) gene is pivotal in regulating the glutamatergic system. Genetic variants of the DTNBP1 affect cognition and thus may be particularly relevant to schizophrenia. We therefore evaluated the association of six single nucleotide polymorphisms (SNPs) with schizophrenia in a Malaysian population (171 cases; 171 controls). Associations between these six SNPs and schizophrenia were tested in two stages. Association signals with p < 0.05 and minor allele frequency > 0.05 in stage 1 were followed by genotyping the SNPs in a replication phase (stage 2). Genotyping was performed with sequenced specific primer (PCR-SSP) and restriction fragment length polymorphism (PCR-RFLP). In our sample, we found significant associations between rs2619522 (allele p = 0.002, OR = 1.902, 95%CI = 1.266 – 2.859; genotype p = 0.002) and rs2619528 (allele p = 0.008, OR = 1.606, 95%CI = 1.130 – 2.281; genotype p = 6.18 × 10−5) and schizophrenia. Given that these two SNPs may be associated with the pathophysiology of schizophrenia, further studies on the other DTNBP1 variants are warranted.
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Affiliation(s)
- Grace Kang Ning Tan
- Department of Mechatronics and Biomedical Engineering, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia
| | - Shiau Foon Tee
- Department of Chemical Engineering, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia
| | - Pek Yee Tang
- Department of Mechatronics and Biomedical Engineering, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia
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Contribution of copy number variants (CNVs) to congenital, unexplained intellectual and developmental disabilities in Lebanese patients. Mol Cytogenet 2015; 8:26. [PMID: 25922617 PMCID: PMC4411788 DOI: 10.1186/s13039-015-0130-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 03/23/2015] [Indexed: 11/10/2022] Open
Abstract
Background Chromosomal microarray analysis (CMA) is currently the most widely adopted clinical test for patients with unexplained intellectual disability (ID), developmental delay (DD), and congenital anomalies. Its use has revealed the capacity to detect copy number variants (CNVs), as well as regions of homozygosity, that, based on their distribution on chromosomes, indicate uniparental disomy or parental consanguinity that is suggestive of an increased probability of recessive disease. Results We screened 149 Lebanese probands with ID/DD and 99 healthy controls using the Affymetrix Cyto 2.7 M and SNP6.0 arrays. We report all identified CNVs, which we divided into groups. Pathogenic CNVs were identified in 12.1% of the patients. We review the genotype/phenotype correlation in a patient with a 1q44 microdeletion and refine the minimal critical regions responsible for the 10q26 and 16q monosomy syndromes. Several likely causative CNVs were also detected, including new homozygous microdeletions (9p23p24.1, 10q25.2, and 8p23.1) in 3 patients born to consanguineous parents, involving potential candidate genes. However, the clinical interpretation of several other CNVs remains uncertain, including a microdeletion affecting ATRNL1. This CNV of unknown significance was inherited from the patient’s unaffected-mother; therefore, additional ethnically matched controls must be screened to obtain enough evidence for classification of this CNV. Conclusion This study has provided supporting evidence that whole-genome analysis is a powerful method for uncovering chromosomal imbalances, regardless of consanguinity in the parents of patients and despite the challenge presented by analyzing some CNVs. Electronic supplementary material The online version of this article (doi:10.1186/s13039-015-0130-y) contains supplementary material, which is available to authorized users.
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Santoro ML, Santos CM, Ota VK, Gadelha A, Stilhano RS, Diana MC, Silva PN, Spíndola LMN, Melaragno MI, Bressan RA, Han SW, Abílio VC, Belangero SI. Expression profile of neurotransmitter receptor and regulatory genes in the prefrontal cortex of spontaneously hypertensive rats: relevance to neuropsychiatric disorders. Psychiatry Res 2014; 219:674-9. [PMID: 25041985 DOI: 10.1016/j.psychres.2014.05.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2013] [Revised: 04/22/2014] [Accepted: 05/18/2014] [Indexed: 12/12/2022]
Abstract
The spontaneously hypertensive rat (SHR) strain was shown to be a useful animal model to study several behavioral, pathophysiological and pharmacological aspects of schizophrenia and attention-deficit/hyperactivity disorder. To further understand the genetic underpinnings of this model, our primary goal in this study was to compare the gene expression profile of neurotransmitter receptors and regulators in the prefrontal cortex (PFC) and nucleus accumbens (NAcc) of SHR and Wistar rats (control group). In addition, we investigated DNA methylation pattern of promoter region of the genes differentially expressed. We performed gene expression analysis using a PCRarray technology, which simultaneously measures the expression of 84 genes related to neurotransmission. Four genes were significantly downregulated in the PFC of SHR compared to Wistar rats (Gad2, Chrnb4, Slc5a7, and Qrfpr) and none in nucleus accumbens. Gad2 and Qrfpr have CpG islands in their promoter region. For both, the promoter region was hypomethylated in SHR group, and probably this mechanism is not related with the downregulation of these genes. In summary, we identified genes that are downregulated in the PFC of SHR, and might be related to the behavioral abnormalities exhibited by this strain.
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Affiliation(s)
- Marcos Leite Santoro
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil; Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil
| | - Camila Maurício Santos
- Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Vanessa Kiyomi Ota
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil; Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil
| | - Ary Gadelha
- Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Roberta Sessa Stilhano
- Department of Biophysics and Investigation Center for Gene Therapy, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Mariana Cepollaro Diana
- Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Pharmacology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Patrícia Natália Silva
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil; Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Letícia Maria Nery Spíndola
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Maria Isabel Melaragno
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Rodrigo Affonseca Bressan
- Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Sang Won Han
- Department of Biophysics and Investigation Center for Gene Therapy, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Vanessa Costhek Abílio
- Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Pharmacology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Sintia Iole Belangero
- Genetics Division, Department of Morphology and Genetics, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil; Interdisciplinary Laboratory of Clinical Neurosciences (LiNC), Sao Paulo, Brazil; Department of Psychiatry, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Brazil.
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Moran PM, O'Tuathaigh CM, Papaleo F, Waddington JL. Dopaminergic function in relation to genes associated with risk for schizophrenia. PROGRESS IN BRAIN RESEARCH 2014; 211:79-112. [DOI: 10.1016/b978-0-444-63425-2.00004-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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13
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Guan J, Liu XS, Xu YJ, Xu XL, Yang YS, Wang R. Relationship between the microsatellite D2S388-5 and D2S2232 polymorphisms and chronic obstructive pulmonary disease in the Chinese Kazakh population. Respirology 2013; 18:303-7. [PMID: 23088317 DOI: 10.1111/resp.12000] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND OBJECTIVE Chronic obstructive pulmonary disease (COPD) is influenced by multiple genetic and environmental factors. The role of genetic susceptibility in the pathogenesis of COPD has recently gained more attention. The surface lung surfactant protein B plays an important role in COPD pathogenesis. Microsatellite DNA has been characterized in the surfactant protein B alleles D2S388-5 and D2S2232. The aim of this research was to investigate the distribution of the D2S388-5 and D2S2232 microsatellite polymorphisms in smokers of the Kazakh ethnic group in Xinjiang, China, with and without COPD to assess whether such polymorphisms are associated with COPD susceptibility. METHODS DNA was extracted from the blood of 197 smokers with COPD and 236 control smokers of Kazakh ethnicity. The smokers diagnosed with COPD were registered at the Department of Respiratory Medicine from four different hospitals. The control group was recruited at the medical examination centre from the same area. The polymorphisms of the D2S388-5 and D2S2232 microsatellite loci were measured by multiple short tandem repeat amplification using fluorescence-labelled polymerase chain reaction and capillary electrophoresis. RESULTS Nine alleles and 32 genotypes were identified in D2S388-5, while 9 alleles and 31 genotypes were identified in D2S2232. Both genotype distributions in control smokers were in accordance with Hardy-Weinberg equilibrium. The frequency of the 254 bp allele from the D2S388-5 locus was significantly higher in the COPD group versus the control (P < 0.001, odds ratio = 5.942). CONCLUSIONS D2S388-5 microsatellite polymorphism may be associated with susceptibility to COPD in Xinjiang Kazakhs.
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Affiliation(s)
- Jian Guan
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ayalew M, Le-Niculescu H, Levey DF, Jain N, Changala B, Patel SD, Winiger E, Breier A, Shekhar A, Amdur R, Koller D, Nurnberger JI, Corvin A, Geyer M, Tsuang MT, Salomon D, Schork NJ, Fanous AH, O'Donovan MC, Niculescu AB. Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction. Mol Psychiatry 2012; 17:887-905. [PMID: 22584867 PMCID: PMC3427857 DOI: 10.1038/mp.2012.37] [Citation(s) in RCA: 322] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2011] [Revised: 02/28/2012] [Accepted: 03/05/2012] [Indexed: 02/07/2023]
Abstract
We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European American and one African American, increasing overlap, reproducibility and consistency of findings from single-nucleotide polymorphisms to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Finally, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.
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Affiliation(s)
- M Ayalew
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - H Le-Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - D F Levey
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Jain
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - B Changala
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S D Patel
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - E Winiger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Breier
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Shekhar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - R Amdur
- Washington DC VA Medical Center, Washington, DC, USA
| | - D Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Geyer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M T Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - D Salomon
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - N J Schork
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - A H Fanous
- Washington DC VA Medical Center, Washington, DC, USA
| | - M C O'Donovan
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - A B Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
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Yin DM, Chen YJ, Sathyamurthy A, Xiong WC, Mei L. Synaptic dysfunction in schizophrenia. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2012; 970:493-516. [PMID: 22351070 DOI: 10.1007/978-3-7091-0932-8_22] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Schizophrenia alters basic brain processes of perception, emotion, and judgment to cause hallucinations, delusions, thought disorder, and cognitive deficits. Unlike neurodegeneration diseases that have irreversible neuronal degeneration and death, schizophrenia lacks agreeable pathological hallmarks, which makes it one of the least understood psychiatric disorders. With identification of schizophrenia susceptibility genes, recent studies have begun to shed light on underlying pathological mechanisms. Schizophrenia is believed to result from problems during neural development that lead to improper function of synaptic transmission and plasticity, and in agreement, many of the susceptibility genes encode proteins critical for neural development. Some, however, are also expressed at high levels in adult brain. Here, we will review evidence for altered neurotransmission at glutamatergic, GABAergic, dopaminergic, and cholinergic synapses in schizophrenia and discuss roles of susceptibility genes in neural development as well as in synaptic plasticity and how their malfunction may contribute to pathogenic mechanisms of schizophrenia. We propose that mouse models with precise temporal and spatial control of mutation or overexpression would be useful to delineate schizophrenia pathogenic mechanisms.
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Affiliation(s)
- Dong-Min Yin
- Department of Neurology, Institute of Molecular Medicine and Genetics, Georgia Health Sciences University, Augusta, GA 30912, USA
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16
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Yanagi M, Southcott S, Lister J, Tamminga CA. Animal models of schizophrenia emphasizing construct validity. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2012; 105:411-44. [PMID: 22137438 DOI: 10.1016/b978-0-12-394596-9.00012-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Achieving animal models of schizophrenia which are representative of clear aspects of the illness is critical to understanding pathophysiology and developing novel treatments for the complex syndrome. This chapter reviews the various approaches that have been used in the past to create animal models of schizophrenia, including pharmacological approaches, environmental risk conditions and schizophrenia risk genes. In addition, we present a new animal model which derives directly from human tissue and brain imaging data used to develop a human schizophrenia model. This chapter emphasizes the crucial need for construct validity and of modeling discrete elements of schizophrenia's illness presentation as the way to successful advances.
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Affiliation(s)
- Masaya Yanagi
- Department of Psychiatry, UT Southwestern Medical School, Dallas, Texas, USA
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17
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Bigdeli TB, Maher BS, Zhao Z, van den Oord EJCG, Thiselton DL, Sun J, Webb BT, Amdur RL, Wormley B, O'Neill FA, Walsh D, Riley BP, Kendler KS, Fanous AH. Comprehensive gene-based association study of a chromosome 20 linked region implicates novel risk loci for depressive symptoms in psychotic illness. PLoS One 2011; 6:e21440. [PMID: 22220189 PMCID: PMC3248394 DOI: 10.1371/journal.pone.0021440] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2011] [Accepted: 05/27/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Prior genomewide scans of schizophrenia support evidence of linkage to regions of chromosome 20. However, association analyses have yet to provide support for any etiologically relevant variants. METHODS We analyzed 2988 LD-tagging single nucleotide polymorphisms (SNPs) in 327 genes on chromosome 20, to test for association with schizophrenia in 270 Irish high-density families (ISHDSF, N = 270 families, 1408 subjects). These SNPs were genotyped using an Illumina iSelect genotyping array which employs the Infinium assay. Given a previous report of novel linkage with chromosome 20p using latent classes of psychotic illness in this sample, association analysis was also conducted for each of five factor-derived scores based on the Operational Criteria Checklist for Psychotic Illness (delusions, hallucinations, mania, depression, and negative symptoms). Tests of association were conducted using the PDTPHASE and QPDTPHASE packages of UNPHASED. Empirical estimates of gene-wise significance were obtained by adaptive permutation of a) the smallest observed P-value and b) the threshold-truncated product of P-values for each locus. RESULTS While no single variant was significant after LD-corrected Bonferroni-correction, our gene-dropping analyses identified loci which exceeded empirical significance criteria for both gene-based tests. Namely, R3HDML and C20orf39 are significantly associated with depressive symptoms of schizophrenia (P(emp)<2×10⁻⁵) based on the minimum P-value and truncated-product methods, respectively. CONCLUSIONS Using a gene-based approach to family-based association, R3HDML and C20orf39 were found to be significantly associated with clinical dimensions of schizophrenia. These findings demonstrate the efficacy of gene-based analysis and support previous evidence that chromosome 20 may harbor schizophrenia susceptibility or modifier loci.
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Affiliation(s)
- T. Bernard Bigdeli
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Brion S. Maher
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Zhongming Zhao
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Departments of Psychiatry, Biomedical Informatics, and Cancer Biology, Vanderbilt University Medical Center, Vanderbilt, Tennessee, United States of America
| | - Edwin J. C. G. van den Oord
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Center for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Dawn L. Thiselton
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Jingchun Sun
- Departments of Psychiatry, Biomedical Informatics, and Cancer Biology, Vanderbilt University Medical Center, Vanderbilt, Tennessee, United States of America
| | - Bradley T. Webb
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Center for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Richard L. Amdur
- Mental Health Service Line, Washington VA Medical Center, Washington, D. C., United States of America
- Department of Psychiatry, Georgetown University School of Medicine, Washington, D. C., United States of America
| | - Brandon Wormley
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | | | | | - Brien P. Riley
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Kenneth S. Kendler
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Ayman H. Fanous
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Mental Health Service Line, Washington VA Medical Center, Washington, D. C., United States of America
- Department of Psychiatry, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States of America
- Department of Psychiatry, Georgetown University School of Medicine, Washington, D. C., United States of America
- * E-mail:
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Rodriguez-Murillo L, Gogos JA, Karayiorgou M. The genetic architecture of schizophrenia: new mutations and emerging paradigms. Annu Rev Med 2011; 63:63-80. [PMID: 22034867 DOI: 10.1146/annurev-med-072010-091100] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Although a genetic component of schizophrenia has been acknowledged for a long time, the underlying architecture of the genetic risk remains a contentious issue. Early linkage and candidate association studies led to largely inconclusive results. More recently, the availability of powerful technologies, samples of sufficient sizes, and genome-wide panels of genetic markers facilitated systematic and agnostic scans throughout the genome for either common or rare disease risk variants of small or large effect size, respectively. Although the former had limited success, the role of rare genetic events, such as copy-number variants (CNVs) or rare point mutations, has become increasingly important in gene discovery for schizophrenia. Importantly, recent research building upon earlier findings of de novo recurrent CNVs at the 22q11.2 locus, has highlighted a de novo mutational paradigm as a major component of the genetic architecture of schizophrenia. Recent progress is bringing us closer to earlier intervention and new therapeutic targets.
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Kurotaki N, Tasaki S, Mishima H, Ono S, Imamura A, Kikuchi T, Nishida N, Tokunaga K, Yoshiura KI, Ozawa H. Identification of novel schizophrenia loci by homozygosity mapping using DNA microarray analysis. PLoS One 2011; 6:e20589. [PMID: 21655227 PMCID: PMC3105082 DOI: 10.1371/journal.pone.0020589] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2010] [Accepted: 05/06/2011] [Indexed: 11/18/2022] Open
Abstract
The recent development of high-resolution DNA microarrays, in which hundreds of thousands of single nucleotide polymorphisms (SNPs) are genotyped, enables the rapid identification of susceptibility genes for complex diseases. Clusters of these SNPs may show runs of homozygosity (ROHs) that can be analyzed for association with disease. An analysis of patients whose parents were first cousins enables the search for autozygous segments in their offspring. Here, using the Affymetrix® Genome-Wide Human SNP Array 5.0 to determine ROHs, we genotyped 9 individuals with schizophrenia (SCZ) whose parents were first cousins. We identified overlapping ROHs on chromosomes 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 19, 20, and 21 in at least 3 individuals. Only the locus on chromosome 5 has been reported previously. The ROHs on chromosome 5q23.3–q31.1 include the candidate genes histidine triad nucleotide binding protein 1 (HINT1) and acyl-CoA synthetase long-chain family member 6 (ACSL6). Other overlapping ROHs may contain novel rare recessive variants that affect SCZ specifically in our samples, given the highly heterozygous nature of SCZ. Analysis of patients whose parents are first cousins may provide new insights for the genetic analysis of psychiatric diseases.
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Affiliation(s)
- Naohiro Kurotaki
- Department of Neuropsychiatry, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
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20
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Tang B, Thornton-Wells T, Askland KD. Comparative linkage meta-analysis reveals regionally-distinct, disparate genetic architectures: application to bipolar disorder and schizophrenia. PLoS One 2011; 6:e19073. [PMID: 21559500 PMCID: PMC3084739 DOI: 10.1371/journal.pone.0019073] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2010] [Accepted: 03/25/2011] [Indexed: 11/18/2022] Open
Abstract
New high-throughput, population-based methods and next-generation sequencing capabilities hold great promise in the quest for common and rare variant discovery and in the search for ”missing heritability.” However, the optimal analytic strategies for approaching such data are still actively debated, representing the latest rate-limiting step in genetic progress. Since it is likely a majority of common variants of modest effect have been identified through the application of tagSNP-based microarray platforms (i.e., GWAS), alternative approaches robust to detection of low-frequency (1–5% MAF) and rare (<1%) variants are of great importance. Of direct relevance, we have available an accumulated wealth of linkage data collected through traditional genetic methods over several decades, the full value of which has not been exhausted. To that end, we compare results from two different linkage meta-analysis methods—GSMA and MSP—applied to the same set of 13 bipolar disorder and 16 schizophrenia GWLS datasets. Interestingly, we find that the two methods implicate distinct, largely non-overlapping, genomic regions. Furthermore, based on the statistical methods themselves and our contextualization of these results within the larger genetic literatures, our findings suggest, for each disorder, distinct genetic architectures may reside within disparate genomic regions. Thus, comparative linkage meta-analysis (CLMA) may be used to optimize low-frequency and rare variant discovery in the modern genomic era.
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Affiliation(s)
- Brady Tang
- Biostatistics Graduate Program, Brown University, Providence, Rhode Island, United States of America
| | - Tricia Thornton-Wells
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Kathleen D. Askland
- Department of Psychiatry and Human Behavior, Butler Hospital, The Warren Alpert School of Medicine of Brown University, Providence, Rhode Island, United States of America
- * E-mail:
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Fallin MD, Lasseter VK, Liu Y, Avramopoulos D, McGrath J, Wolyniec PS, Nestadt G, Liang KY, Chen PL, Valle D, Pulver AE. Linkage and association on 8p21.2-p21.1 in schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2011; 156:188-97. [PMID: 21302347 DOI: 10.1002/ajmg.b.31154] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2010] [Accepted: 11/17/2010] [Indexed: 11/07/2022]
Abstract
In the past decade, we and others have consistently reported linkage to a schizophrenia (SZ) susceptibility region on chromosome 8p21. Most recently, in the largest SZ linkage sample to date, a multi-site international collaboration performed a SNP-based linkage scan (~6,000 SNPs; 831 pedigrees; 121 from Johns Hopkins (JHU)), that showed the strongest evidence for linkage in a 1 Mb region of chr 8p21 from rs1561817 to rs9797 (Z(max) = 3.22, P = 0.0004) [Holmans et al. 2009. Mol Psychiatry]. We have investigated this 8p21 peak region further in two ways: first by linkage and family-based association in 106 8p-linked European-Caucasian (EUC) JHU pedigrees using 1,402 SNPs across a 4.4 Mb region surrounding the peak; second, by an independent case-control association study in the genetically more homogeneous Ashkenazim (AJ) (709 cases, 1,547 controls) using 970 SNPs in a further narrowed 2.8 Mb region. Family-based association analyses in EUC pedigrees and case-control analyses in AJ samples reveal significant associations for SNPs in and around DPYSL2 and ADRA1A, candidate genes previously associated with SZ in our work and others. Further, several independent gene expression studies have shown that DPYSL2 is differentially expressed in SZ brains [Beasley et al. 2006. Proteomics 6(11):3414–3425; Edgar et al. 2000. Mol Psychiatry 5(1):85–90; Johnston-Wilson et al. 2000. Mol Psychiatry 5(2):142–149] or in response to psychosis-inducing pharmaceuticals [Iwazaki et al. 2007. Proteomics 7(7):1131–1139; Paulson et al. 2004. Proteomics 4(3):819–825]. Taken together, this work further supports DPYSL2 and the surrounding genomic region as a susceptibility locus for SZ.
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Affiliation(s)
- M Daniele Fallin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Karlsgodt KH, Robleto K, Trantham-Davidson H, Jairl C, Cannon TD, Lavin A, Jentsch JD. Reduced dysbindin expression mediates N-methyl-D-aspartate receptor hypofunction and impaired working memory performance. Biol Psychiatry 2011; 69:28-34. [PMID: 21035792 PMCID: PMC4204919 DOI: 10.1016/j.biopsych.2010.09.012] [Citation(s) in RCA: 103] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2010] [Revised: 08/13/2010] [Accepted: 09/07/2010] [Indexed: 11/19/2022]
Abstract
BACKGROUND Schizophrenia is a heritable disorder associated with disrupted neural transmission and dysfunction of brain systems involved in higher cognition. The gene encoding dystrobrevin-binding-protein-1 (dysbindin) is a putative candidate gene associated with cognitive impairments, including memory deficits, in both schizophrenia patients and unaffected individuals. The underlying mechanism is thought to be based in changes in glutamatergic and dopaminergic function within the corticostriatal networks known to be critical for schizophrenia. This hypothesis derives support from studies of mice with a null mutation in the dysbindin gene that exhibit memory dysfunction and excitatory neurotransmission abnormalities in prefrontal and hippocampal networks. At a cellular level, dysbindin is thought to mediate presynaptic glutamatergic transmission. METHODS We investigated the relationship between glutamate receptor dynamics and memory performance in dysbindin mutant mice. We assessed N-methyl-D-aspartate (NMDA) and α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptor function in prefrontal cortex pyramidal neurons in vitro with whole-cell recordings, molecular quantitative analyses (reverse transcription-polymerase chain reaction) of the mandatory NMDA receptor subunit NR1, and cognitive function with a spatial working memory task. RESULTS Decreases in dysbindin are associated with specific decreases in NMDA-evoked currents in prefrontal pyramidal neurons, as well as decreases in NR1 expression. Furthermore, the degree of NR1 expression correlates with spatial working memory performance, providing a mechanistic explanation for cognitive changes previously associated with dysbindin expression. CONCLUSIONS These data show a significant downregulation of NMDA receptors due to dysbindin deficiency and illuminate molecular mechanisms mediating the association between dysbindin insufficiency and cognitive impairments associated with schizophrenia, encouraging study of the dysbindin/NR1 expression association in humans with schizophrenia.
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Affiliation(s)
- Katherine H Karlsgodt
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA
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23
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Kurian SM, Le-Niculescu H, Patel SD, Bertram D, Davis J, Dike C, Yehyawi N, Lysaker P, Dustin J, Caligiuri M, Lohr J, Lahiri DK, Nurnberger JI, Faraone SV, Geyer MA, Tsuang MT, Schork NJ, Salomon DR, Niculescu AB. Identification of blood biomarkers for psychosis using convergent functional genomics. Mol Psychiatry 2011; 16:37-58. [PMID: 19935739 DOI: 10.1038/mp.2009.117] [Citation(s) in RCA: 126] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
There are to date no objective clinical laboratory blood tests for psychotic disease states. We provide proof of principle for a convergent functional genomics (CFG) approach to help identify and prioritize blood biomarkers for two key psychotic symptoms, one sensory (hallucinations) and one cognitive (delusions). We used gene expression profiling in whole blood samples from patients with schizophrenia and related disorders, with phenotypic information collected at the time of blood draw, then cross-matched the data with other human and animal model lines of evidence. Topping our list of candidate blood biomarkers for hallucinations, we have four genes decreased in expression in high hallucinations states (Fn1, Rhobtb3, Aldh1l1, Mpp3), and three genes increased in high hallucinations states (Arhgef9, Phlda1, S100a6). All of these genes have prior evidence of differential expression in schizophrenia patients. At the top of our list of candidate blood biomarkers for delusions, we have 15 genes decreased in expression in high delusions states (such as Drd2, Apoe, Scamp1, Fn1, Idh1, Aldh1l1), and 16 genes increased in high delusions states (such as Nrg1, Egr1, Pvalb, Dctn1, Nmt1, Tob2). Twenty-five of these genes have prior evidence of differential expression in schizophrenia patients. Predictive scores, based on panels of top candidate biomarkers, show good sensitivity and negative predictive value for detecting high psychosis states in the original cohort as well as in three additional cohorts. These results have implications for the development of objective laboratory tests to measure illness severity and response to treatment in devastating disorders such as schizophrenia.
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Affiliation(s)
- S M Kurian
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
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24
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Strohmaier J, Frank J, Wendland JR, Schumacher J, Jamra RA, Treutlein J, Nieratschker V, Breuer R, Mattheisen M, Herms S, Mühleisen TW, Maier W, Nöthen MM, Cichon S, Rietschel M, Schulze TG. A reappraisal of the association between Dysbindin (DTNBP1) and schizophrenia in a large combined case-control and family-based sample of German ancestry. Schizophr Res 2010; 118:98-105. [PMID: 20083391 PMCID: PMC2856768 DOI: 10.1016/j.schres.2009.12.025] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2009] [Revised: 12/08/2009] [Accepted: 12/20/2009] [Indexed: 01/14/2023]
Abstract
BACKGROUND Dysbindin (DTNBP1) is a widely studied candidate gene for schizophrenia (SCZ); however, inconsistent results across studies triggered skepticism towards the validity of the findings. In this HapMap-based study, we reappraised the association between Dysbindin and SCZ in a large sample of German ethnicity. METHOD Six hundred thirty-four cases with DSM-IV SCZ, 776 controls, and 180 parent-offspring trios were genotyped for 38 Dysbindin SNPs. We also studied two phenotypically-defined subsamples: 147 patients with a positive family history of SCZ (FH-SCZ+) and SCZ patients characterized for cognitive performance with Trail-Making Tests A and B (TMT-A: n=219; TMT-B: n=247). Given previous evidence of gene-gene interactions in SCZ involving the COMT gene, we also assessed epistatic interactions between Dysbindin markers and 14 SNPs in COMT. RESULTS No association was detected between Dysbindin markers and SCZ, or in the FH-SCZ+ subgroup. Only one marker (rs1047631, previously reported to be part of a risk haplotype), showed a nominally significant association with performance on TMT-A and TMT-B; these findings did not remain significant after correction for multiple comparisons. Similarly, no pair-wise epistatic interactions between Dysbindin and COMT markers remained significant after correction for 504 pair-wise comparisons. CONCLUSIONS Our results, based on one of the largest samples of European Caucasians and using narrowly-defined criteria for SCZ, do not support the etiological involvement of Dysbindin markers in SCZ. Larger samples may be needed in order to unravel Dysbindin's possible role in the genetic basis of proposed intermediate phenotypes of SCZ or to detect epistatic interactions.
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Affiliation(s)
- Jana Strohmaier
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - Josef Frank
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - Jens R. Wendland
- Unit on the Genetic Basis of Mood and Anxiety Disorders, NIMH, NIH, Bethesda, MD, USA
| | - Johannes Schumacher
- Unit on the Genetic Basis of Mood and Anxiety Disorders, NIMH, NIH, Bethesda, MD, USA
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Rami Abou Jamra
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Jens Treutlein
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - Vanessa Nieratschker
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - René Breuer
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - Manuel Mattheisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Stefan Herms
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Thomas W. Mühleisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Markus M. Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Sven Cichon
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Marcella Rietschel
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
| | - Thomas G. Schulze
- Division of Genetic Epidemiology, Central Institute of Mental Health, Mannheim, Germany
- Unit on the Genetic Basis of Mood and Anxiety Disorders, NIMH, NIH, Bethesda, MD, USA
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25
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Coon H, Villalobos ME, Robison RJ, Camp NJ, Cannon DS, Allen-Brady K, Miller JS, McMahon WM. Genome-wide linkage using the Social Responsiveness Scale in Utah autism pedigrees. Mol Autism 2010; 1:8. [PMID: 20678250 PMCID: PMC2913945 DOI: 10.1186/2040-2392-1-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2009] [Accepted: 04/08/2010] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Autism Spectrum Disorders (ASD) are phenotypically heterogeneous, characterized by impairments in the development of communication and social behaviour and the presence of repetitive behaviour and restricted interests. Dissecting the genetic complexity of ASD may require phenotypic data reflecting more detail than is offered by a categorical clinical diagnosis. Such data are available from the Social Responsiveness Scale (SRS) which is a continuous, quantitative measure of social ability giving scores that range from significant impairment to above average ability. METHODS We present genome-wide results for 64 multiplex and extended families ranging from two to nine generations. SRS scores were available from 518 genotyped pedigree subjects, including affected and unaffected relatives. Genotypes from the Illumina 6 k single nucleotide polymorphism panel were provided by the Center for Inherited Disease Research. Quantitative and qualitative analyses were done using MCLINK, a software package that uses Markov chain Monte Carlo (MCMC) methods to perform multilocus linkage analysis on large extended pedigrees. RESULTS When analysed as a qualitative trait, linkage occurred in the same locations as in our previous affected-only genome scan of these families, with findings on chromosomes 7q31.1-q32.3 [heterogeneity logarithm of the odds (HLOD) = 2.91], 15q13.3 (HLOD = 3.64), and 13q12.3 (HLOD = 2.23). Additional positive qualitative results were seen on chromosomes 6 and 10 in regions that may be of interest for other neuropsychiatric disorders. When analysed as a quantitative trait, results replicated a peak found in an independent sample using quantitative SRS scores on chromosome 11p15.1-p15.4 (HLOD = 2.77). Additional positive quantitative results were seen on chromosomes 7, 9, and 19. CONCLUSIONS The SRS linkage peaks reported here substantially overlap with peaks found in our previous affected-only genome scan of clinical diagnosis. In addition, we replicated a previous SRS peak in an independent sample. These results suggest the SRS is a robust and useful phenotype measure for genetic linkage studies of ASD. Finally, analyses of SRS scores revealed linkage peaks overlapping with evidence from other studies of neuropsychiatric diseases. The information available from the SRS itself may, therefore, reveal locations for autism susceptibility genes that would not otherwise be detected.
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Affiliation(s)
- Hilary Coon
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Michele E Villalobos
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Reid J Robison
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Nicola J Camp
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Dale S Cannon
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Kristina Allen-Brady
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - Judith S Miller
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
| | - William M McMahon
- Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
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26
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Mead CLR, Kuzyk MA, Moradian A, Wilson GM, Holt RA, Morin GB. Cytosolic protein interactions of the schizophrenia susceptibility gene dysbindin. J Neurochem 2010; 113:1491-503. [PMID: 20236384 DOI: 10.1111/j.1471-4159.2010.06690.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Using immunoprecipitation, mass spectrometry, and western blot analysis we investigated cytosolic protein interactions of the schizophrenia susceptibility gene dysbindin in mammalian cells. We identified novel interactions with members of the exocyst, dynactin and chaperonin containing T-complex protein complexes, and we confirmed interactions reported previously with all members of the biogenesis of lysosome-related organelles complex-1 and the adaptor-related protein complex 3. We report interactions between dysbindin and the exocyst and dynactin complex that confirm a link between two important schizophrenia susceptibility genes: dysbindin and disrupted-in-schizophrenia-1. To expand upon this network of interacting proteins we also investigated protein interactions for members of the exocyst and dynactin complexes in mammalian cells. Our results are consistent with the notion that impairment of aspects of the synaptic vesicle life cycle may be a pathogenic mechanism in schizophrenia.
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Affiliation(s)
- Carri-Lyn R Mead
- Michael Smith Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
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27
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Fanous A, Zhao Z, van den Oord E, Maher B, Thiselton D, Bergen S, Wormley B, Bigdeli T, Amdur R, O'Neill F, Walsh D, Kendler K, Riley B. Association study of SNAP25 and schizophrenia in Irish family and case-control samples. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:663-674. [PMID: 19806613 PMCID: PMC2859301 DOI: 10.1002/ajmg.b.31037] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
SNAP25 occurs on chromosome 20p12.2, which has been linked to schizophrenia in some samples, and recently linked to latent classes of psychotic illness in our sample. SNAP25 is crucial to synaptic functioning, may be involved in axonal growth and dendritic sprouting, and its expression may be decreased in schizophrenia. We genotyped 18 haplotype-tagging SNPs in SNAP25 in a sample of 270 Irish high-density families. Single marker and haplotype analyses were performed in FBAT and PDT. We adjusted for multiple testing by computing q values. Association was followed up in an independent sample of 657 cases and 411 controls. We tested for allelic effects on the clinical phenotype by using the method of sequential addition and 5 factor-derived scores of the OPCRIT. Nine of 18 SNPs had P values <0.05 in either FBAT or PDT for one or more definitions of illness. Several two-marker haplotypes were also associated. Subjects inheriting the risk alleles of the most significantly associated two-marker haplotype were likely to have higher levels of hallucinations and delusions. The most significantly associated marker, rs6039820, was observed to perturb 12 transcription-factor binding sites in in silico analyses. An attempt to replicate association findings in the case-control sample resulted in no SNPs being significantly associated. We observed robust association in both single marker and haplotype-based analyses between SNAP25 and schizophrenia in an Irish family sample. Although we failed to replicate this in an independent sample, this gene should be further tested in other samples.
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Affiliation(s)
- A.H. Fanous
- Washington VA Medical Center, Washington, District of Columbia,Georgetown University Medical Center, Virginia Commonwealth University, Richmond, Virginia,Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Correspondence to: Dr. A.H. Fanous, 50 Irving St. NW, Washington, DC 20422.
| | - Z. Zhao
- Departments of Biomedical Informatics and Psychiatry, Vanderbilt University, Nashville, Tennessee
| | - E.J.C.G. van den Oord
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Department of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - B.S. Maher
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - D.L. Thiselton
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - S.E. Bergen
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - B. Wormley
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - T. Bigdeli
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - R.L. Amdur
- Washington VA Medical Center, Washington, District of Columbia,Georgetown University Medical Center, Virginia Commonwealth University, Richmond, Virginia
| | | | - D. Walsh
- Health Research Board, Dublin, Ireland
| | - K.S. Kendler
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Department of Human Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - B.P. Riley
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Department of Human Genetics, Virginia Commonwealth University, Richmond, Virginia
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28
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Henson MA, Roberts AC, Pérez-Otaño I, Philpot BD. Influence of the NR3A subunit on NMDA receptor functions. Prog Neurobiol 2010; 91:23-37. [PMID: 20097255 DOI: 10.1016/j.pneurobio.2010.01.004] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2009] [Revised: 12/02/2009] [Accepted: 01/14/2010] [Indexed: 10/19/2022]
Abstract
Various combinations of subunits assemble to form the NMDA-type glutamate receptor (NMDAR), generating diversity in its functions. Here we review roles of the unique NMDAR subunit, NR3A, which acts in a dominant-negative manner to suppress receptor activity. NR3A-containing NMDARs display striking regional and temporal expression specificity, and, unlike most other NMDAR subtypes, they have a low conductance, are only modestly permeable to Ca(2+), and pass current at hyperpolarized potentials in the presence of magnesium. While glutamate activates triheteromeric NMDARs composed of NR1/NR2/NR3A subunits, glycine is sufficient to activate diheteromeric NR1/NR3A-containing receptors. NR3A dysfunction may contribute to neurological disorders involving NMDARs, and the subunit offers an attractive therapeutic target given its distinct pharmacological and structural properties.
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Affiliation(s)
- Maile A Henson
- Curriculum in Neurobiology, Neuroscience Center, Neurodevelopmental Disorders Research Center, Chapel Hill, NC 27599, USA
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29
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Abstract
BACKGROUND Straub et al. (2002b) located a susceptibility region for schizophrenia at the DTNBP1 locus. At least 40 studies (including one study in US populations) attempted to replicate this original finding, but the reported findings are highly diverse and at least five pathways by which dysbindin protein might be involved in schizophrenia have been proposed. This study aimed to test the association in two common US populations by using powerful analytic methods. METHODS Six markers at DTNBP1 were genotyped by mass spectroscopy ('MassARRAY' technique) in a sample of 663 individuals, including 346 healthy individuals European-Americans (EAs) and 48 African-Americans (AAs), and 317 individuals with schizophrenia (235 EAs and 82 AAs). Thirty-eight ancestry-informative markers were genotyped in this sample to infer the ancestry proportions. Diplotype, haplotype, genotype, and allele frequency distributions were compared between the cases and controls, controlling for possible population stratification, admixture, and sex-specific effects, and taking interaction effects into account, using a logistic regression analysis (an extended structured association method). RESULTS Conventional case-control comparisons showed that genotypes of the markers P1578 (rs1018381) and P1583 (rs909706) were nominally associated with schizophrenia in EAs and in AAs, respectively. These associations became less or nonsignificant after controlling for population stratification and admixture effects (using structured association or regression analysis), and became nonsignificant after correction for multiple testing. However, regression analysis showed that the common diplotypes (ACCCTT/GCCGCC or GCCGCC/GCCGCC) and the interaction effects of haplotypes GCCGCC/GCCGCC significantly affected risk for schizophrenia in EAs, effects that were modified by sex. Fine-mapping using d or J statistics located the specific markers (d: P1328; J: P1333) closest to the putative risk sites in EAs. CONCLUSION This study shows that DTNBP1 is a risk gene for schizophrenia in EAs. Variation at DTNBP1 may modify risk for schizophrenia in this population.
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30
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Thiselton D, Maher B, Webb B, Bigdeli T, O’Neill F, Walsh D, Kendler K, Riley B. Association analysis of the PIP4K2A gene on chromosome 10p12 and schizophrenia in the Irish study of high density schizophrenia families (ISHDSF) and the Irish case-control study of schizophrenia (ICCSS). Am J Med Genet B Neuropsychiatr Genet 2010; 153B:323-31. [PMID: 19475563 PMCID: PMC4011176 DOI: 10.1002/ajmg.b.30982] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Molecular studies support pharmacological evidence that phosphoinositide signaling is perturbed in schizophrenia and bipolar disorder. The phosphatidylinositol-4-phosphate-5-kinase type-II alpha (PIP4K2A) gene is located on chromosome 10p12. This region has been implicated in both diseases by linkage, and PIP4K2A directly by association. Given linkage evidence in the Irish Study of High Density Schizophrenia Families (ISHDSF) to a region including 10p12, we performed an association study between genetic variants at PIP4K2A and disease. No association was detected through single-marker or haplotype analysis of the whole sample. However, stratification into families positive and negative for the ISHDSF schizophrenia high-risk haplotype (HRH) in the DTNBP1 gene and re-analysis for linkage showed reduced amplitude of the 10p12 linkage peak in the DTNBP1 HRH positive families. Association analysis of the stratified sample showed a trend toward association of PIP4K2A SNPs rs1417374 and rs1409395 with schizophrenia in the DTNBP1 HRH positive families. Despite this apparent paradox, our data may therefore suggest involvement of PIP4K2A in schizophrenia in those families for whom genetic variation in DTNBP1 appears also to be a risk factor. This trend appears to arise from under-transmission of common alleles to female cases. Follow-up association analysis in a large Irish schizophrenia case-control sample (ICCSS) showed significant association with disease of a haplotype comprising these same SNPs rs1417374-rs1409395, again more so in affected females, and in cases with negative family history of the disease. This study supports a minor role for PIP4K2A in schizophrenia etiology in the Irish population.
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Affiliation(s)
- D.L. Thiselton
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Correspondence to D.L. Thiselton, Virginia Institute of Psychiatric and Behavioural Genetics, Virginia Commonwealth University, Biotech 1/Suite 110, 800 East Leigh Street, Richmond, VA 23298-0424
| | - B.S. Maher
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - B.T. Webb
- Center for Biomarker Research and Personalized Medicine, Department of Pharmacy, Virginia Commonwealth University, Richmond, Virginia
| | - T.B. Bigdeli
- Department of Human Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - F.A. O’Neill
- Department of Psychiatry, The Queens University, Belfast, Ireland
| | - D. Walsh
- The Health Research Board, Dublin, Ireland
| | - K.S. Kendler
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - B.P. Riley
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia,Department of Human Genetics, Virginia Commonwealth University, Richmond, Virginia
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31
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Lin SH, Liu CM, Liu YL, Fann CSJ, Hsiao PC, Wu JY, Hung SI, Chen CH, Wu HM, Jou YS, Liu SK, Hwang TJ, Hsieh MH, Chang CC, Yang WC, Lin JJ, Chou FHC, Faraone SV, Tsuang MT, Hwu HG, Chen WJ. Clustering by neurocognition for fine mapping of the schizophrenia susceptibility loci on chromosome 6p. GENES, BRAIN, AND BEHAVIOR 2009; 8:785-94. [PMID: 19694819 PMCID: PMC4286260 DOI: 10.1111/j.1601-183x.2009.00523.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Chromosome 6p is one of the most commonly implicated regions in the genome-wide linkage scans of schizophrenia, whereas further association studies for markers in this region were inconsistent likely due to heterogeneity. This study aimed to identify more homogeneous subgroups of families for fine mapping on regions around markers D6S296 and D6S309 (both in 6p24.3) as well as D6S274 (in 6p22.3) by means of similarity in neurocognitive functioning. A total of 160 families of patients with schizophrenia comprising at least two affected siblings who had data for eight neurocognitive test variables of the continuous performance test (CPT) and the Wisconsin card sorting test (WCST) were subjected to cluster analysis with data visualization using the test scores of both affected siblings. Family clusters derived were then used separately in family-based association tests for 64 single nucleotide polymorphisms (SNPs) covering the region of 6p24.3 and 6p22.3. Three clusters were derived from the family-based clustering, with deficit cluster 1 representing deficit on the CPT, deficit cluster 2 representing deficit on both the CPT and the WCST, and a third cluster of nondeficit. After adjustment using false discovery rate for multiple testing, SNP rs13873 and haplotype rs1225934-rs13873 on BMP6-TXNDC5 genes were significantly associated with schizophrenia for the deficit cluster 1 but not for the deficit cluster 2 or nondeficit cluster. Our results provide further evidence that the BMP6-TXNDC5 locus on 6p24.3 may play a role in the selective impairments on sustained attention of schizophrenia.
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Affiliation(s)
- Sheng-Hsiang Lin
- Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
- Genetic Epidemiology Core Laboratory, Division of Genomic Medicine, Research Center for Medical Excellence, National Taiwan University, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Li Liu
- Division of Mental Health and Substance Abuse Research, National Health Research Institutes, Zhunan, Taiwan
| | | | - Po-Chang Hsiao
- Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
- Genetic Epidemiology Core Laboratory, Division of Genomic Medicine, Research Center for Medical Excellence, National Taiwan University, Taipei, Taiwan
| | - Jer-Yuarn Wu
- National Genotyping Center, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Shuen-Iu Hung
- National Genotyping Center, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chun-Houh Chen
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Han-Ming Wu
- Department of Mathematics, Tamkang University, Taipei, Taiwan
| | - Yuh-Shan Jou
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Shi K. Liu
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Far Eastern Memorial Hospital, Taipei, Taiwan
| | - Tzung J. Hwang
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ming H. Hsieh
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | | | - Wei-Chih Yang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- Molecular Medicine Program, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan
- Institute of Biochemistry and Molecular Biology, National Yang-Ming University, Taipei, Taiwan
| | - Jin-Jia Lin
- Department of Psychiatry, Chimei Medical Center, Tainan, Taiwan
| | | | - Stephen V. Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Ming T. Tsuang
- Harvard Institute of Psychiatric Epidemiology and Genetics, and Departments of Epidemiology and Psychiatry, Harvard University, Boston, Massachusetts, USA
- Center for Behavioral Genomics, Department of Psychiatry, University of California, San Diego, California, USA
| | - Hai-Gwo Hwu
- Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Wei J. Chen
- Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
- Genetic Epidemiology Core Laboratory, Division of Genomic Medicine, Research Center for Medical Excellence, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
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Paunio T, Arajärvi R, Terwilliger JD, Hiekkalinna T, Haimi P, Partonen T, Lönnqvist J, Peltonen L, Varilo T. Linkage analysis of schizophrenia controlling for population substructure. Am J Med Genet B Neuropsychiatr Genet 2009; 150B:827-35. [PMID: 19086037 PMCID: PMC2861849 DOI: 10.1002/ajmg.b.30905] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Etiological heterogeneity and complexity has hampered attempts to identify predisposing genes for schizophrenia. We sought to minimize the number of segregating genes involved by focusing on a population isolate with elevated disease prevalence. We exploited the well-established population history, and searched for disease susceptibility loci in families from two alternative founder lineages. We studied 28 schizophrenia pedigrees (123 nuclear families) from an outlying municipality on the eastern border of Finland. We divided the families based on their genealogy and defined two routes of immigration: southern and northern. We examined the kinship coefficients and allele frequency distributions within each group, and performed a linkage analysis based on 497 microsatellite markers across the genome. A high degree of historical relatedness was demonstrated by higher sharing of alleles than predicted by the relationships we identified within the previous four generations alone, as would be expected. Between the two subpopulations, allele frequencies were significantly different, consistent with their isolated genealogies. The southern families showed some evidence of linkage in a schizophrenia locus at 4q23 (Z = 3.3) near our previous finding with quantitative variation in verbal learning and memory [Paunio et al. (2004); Hum Mol Genet 13: 1693-1702], while the northern pedigrees gave most significant evidence on 10q21 (Z = 2.53). Joint analysis of families from both lineages suggested evidence of linkage only at 3p14 (Z = 3.18). Thus the detailed genealogical information led us to identification of distinct linkage signals for schizophrenia susceptibility loci between the three analyses we performed.
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Affiliation(s)
- Tiina Paunio
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
- Department of Mental Health and Alcohol Research, National Public Health Institute, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Ritva Arajärvi
- Department of Mental Health and Alcohol Research, National Public Health Institute, Helsinki, Finland
| | - Joseph D. Terwilliger
- Department of Psychiatry, Columbia University, New York, New York
- Department of Genetics and Development, Columbia University, New York, New York
- Columbia Genome Center, Columbia University, New York, New York
- Division of Medical Genetics, New York State Psychiatric Institute, New York, New York
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Tero Hiekkalinna
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
| | - Perttu Haimi
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
| | - Timo Partonen
- Department of Mental Health and Alcohol Research, National Public Health Institute, Helsinki, Finland
| | - Jouko Lönnqvist
- Department of Mental Health and Alcohol Research, National Public Health Institute, Helsinki, Finland
| | - Leena Peltonen
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
- The Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
- Welcome Trust Sanger Institute, Hinxton, Cambridge, UK
- Institute for Molecular Medicine Finland FIMM, Helsinki, Finland
| | - Teppo Varilo
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, Helsinki, Finland
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33
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Ng MYM, Levinson DF, Faraone SV, Suarez BK, DeLisi LE, Arinami T, Riley B, Paunio T, Pulver AE, Irmansyah, Holmans PA, Escamilla M, Wildenauer DB, Williams NM, Laurent C, Mowry BJ, Brzustowicz LM, Maziade M, Sklar P, Garver DL, Abecasis GR, Lerer B, Fallin MD, Gurling HMD, Gejman PV, Lindholm E, Moises HW, Byerley W, Wijsman EM, Forabosco P, Tsuang MT, Hwu HG, Okazaki Y, Kendler KS, Wormley B, Fanous A, Walsh D, O’Neill FA, Peltonen L, Nestadt G, Lasseter VK, Liang KY, Papadimitriou GM, Dikeos DG, Schwab SG, Owen MJ, O’Donovan MC, Norton N, Hare E, Raventos H, Nicolini H, Albus M, Maier W, Nimgaonkar VL, Terenius L, Mallet J, Jay M, Godard S, Nertney D, Alexander M, Crowe RR, Silverman JM, Bassett AS, Roy MA, Mérette C, Pato CN, Pato MT, Roos JL, Kohn Y, Amann-Zalcenstein D, Kalsi G, McQuillin A, Curtis D, Brynjolfson J, Sigmundsson T, Petursson H, Sanders AR, Duan J, Jazin E, Myles-Worsley M, Karayiorgou M, Lewis CM. Meta-analysis of 32 genome-wide linkage studies of schizophrenia. Mol Psychiatry 2009; 14:774-85. [PMID: 19349958 PMCID: PMC2715392 DOI: 10.1038/mp.2008.135] [Citation(s) in RCA: 179] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2008] [Accepted: 11/11/2008] [Indexed: 02/07/2023]
Abstract
A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (P(SR)) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for 'aggregate' genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.
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Affiliation(s)
- MYM Ng
- King’s College London, Department of Medical and Molecular Genetics, London, UK
| | - DF Levinson
- Department of Psychiatry, Stanford University, Stanford, CA, USA
| | - SV Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - BK Suarez
- Washington University in St Louis, St Louis, MO, USA
| | - LE DeLisi
- Department of Psychiatry, The New York University Langone Medical Center, New York, NY, USA
- Nathan S Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - T Arinami
- Department of Medical Genetics, University of Tsukuba, Tsukuba, Japan
| | - B Riley
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - T Paunio
- National Public Health Institute, Helsinki, Finland
- Department of Psychiatry, Helsinki University Central Hospital, Helsinki, Finland
| | - AE Pulver
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Irmansyah
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - PA Holmans
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - M Escamilla
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - DB Wildenauer
- Center for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
| | - NM Williams
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - C Laurent
- Department of Child Psychiatry, Université Pierre et Marie Curie and Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - BJ Mowry
- Queensland Centre for Mental Health Research and University of Queensland, Brisbane, QLD, Australia
| | - LM Brzustowicz
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - M Maziade
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - P Sklar
- Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - DL Garver
- VA Medical Center, Asheville, NC, USA
| | - GR Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - B Lerer
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - MD Fallin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - HMD Gurling
- Department of Mental Health Sciences, University College London, London, UK
| | - PV Gejman
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - E Lindholm
- Department of Development & Genetics, Uppsala University, Uppsala, Sweden
| | | | - W Byerley
- University of California, San Francisco, CA, USA
| | - EM Wijsman
- Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - P Forabosco
- King’s College London, Department of Medical and Molecular Genetics, London, UK
| | - MT Tsuang
- Center for Behavioral Genomics and Department of Psychiatry, University of California, San Diego, CA, USA
- Harvard Institute of Psychiatric Epidemiology & Genetics, Boston, MA, USA
| | - H-G Hwu
- National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Y Okazaki
- Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - KS Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - B Wormley
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - A Fanous
- Washington VA Medical Center, Washington, DC, USA
- Department of Psychiatry, Georgetown University Medical Center, Virginia Commonwealth University, Richmond, VA, USA
| | - D Walsh
- The Health Research Board, Dublin, Ireland
| | - FA O’Neill
- Department of Psychiatry, Queens University, Belfast, Northern Ireland
| | - L Peltonen
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
- The Broad Institute, MIT, Boston, MA, USA
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - G Nestadt
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - VK Lasseter
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - KY Liang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - GM Papadimitriou
- 1st Department of Psychiatry, University of Athens Medical School, and University Mental Health Research Institute, Athens, Greece
| | - DG Dikeos
- 1st Department of Psychiatry, University of Athens Medical School, and University Mental Health Research Institute, Athens, Greece
| | - SG Schwab
- Western Australian Institute for Medical Research, University of Western Australia, Perth, WA, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | - MJ Owen
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - MC O’Donovan
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - N Norton
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - E Hare
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - H Raventos
- School of Biology and CIBCM, University of Costa Rica, San Jose, Costa Rica
| | - H Nicolini
- Carracci Medical Group and Universidad Autonoma de la Ciudad de Mexico, Mexico City, Mexico
| | - M Albus
- State Mental Hospital, Haar, Germany
| | - W Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - VL Nimgaonkar
- Departments of Psychiatry and Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - L Terenius
- Department of Clinical Neuroscience, Karolinska Hospital, Stockholm, Sweden
| | - J Mallet
- Laboratoire de Génétique Moléculaire de la Neurotransmission et des Processus Neurodégénératifs, Centre National de la Recherche Scientifique, Hôpital de la Pitié Salpêtrière, Paris, France
| | - M Jay
- Department of Child Psychiatry, Université Pierre et Marie Curie and Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - S Godard
- INSERM, Institut de Myologie, Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - D Nertney
- Queensland Centre for Mental Health Research and University of Queensland, Brisbane, QLD, Australia
| | - M Alexander
- Department of Psychiatry, Stanford University, Stanford, CA, USA
| | - RR Crowe
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - JM Silverman
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - AS Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - M-A Roy
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - C Mérette
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - CN Pato
- Center for Genomic Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - MT Pato
- Center for Genomic Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - J Louw Roos
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Pretoria, Republic of South Africa
| | - Y Kohn
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - D Amann-Zalcenstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - G Kalsi
- Department of Mental Health Sciences, University College London, London, UK
| | - A McQuillin
- Department of Mental Health Sciences, University College London, London, UK
| | - D Curtis
- Department of Psychological Medicine, St Bartholomew’s and Royal London School of Medicine and Dentistry, London, UK
| | - J Brynjolfson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - T Sigmundsson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - H Petursson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - AR Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - J Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - E Jazin
- Department of Development & Genetics, Uppsala University, Uppsala, Sweden
| | - M Myles-Worsley
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - M Karayiorgou
- Departments of Psychiatry and Genetics & Development, Columbia University Medical Center, New York, NY, USA
| | - CM Lewis
- King’s College London, Department of Medical and Molecular Genetics, London, UK
- King’s College London, MRC SGDP Centre, Institute of Psychiatry, London, UK
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34
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Kishi T, Kitajima T, Ikeda M, Yamanouchi Y, Kinoshita Y, Kawashima K, Okochi T, Okumura T, Tsunoka T, Inada T, Ozaki N, Iwata N. Association study of clock gene (CLOCK) and schizophrenia and mood disorders in the Japanese population. Eur Arch Psychiatry Clin Neurosci 2009; 259:293-7. [PMID: 19224106 DOI: 10.1007/s00406-009-0869-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2008] [Accepted: 01/13/2009] [Indexed: 11/29/2022]
Abstract
Recently the clock genes have been reported to play some roles in neural transmitter systems, including the dopamine system, as well as to regulate circadian rhythms. Abnormalities in both of these mechanisms are thought to be involved in the pathophysiology of major mental illness such as schizophrenia and mood disorders including bipolar disorder (BP) and major depressive disorder (MDD). Recent genetic studies have reported that CLOCK, one of the clock genes, is associated with these psychiatric disorders. Therefore, we investigated the association between the six tagging SNPs in CLOCK and the risk of these psychiatric disorders in Japanese patients diagnosed with schizophrenia (733 patients), BP (149) and MDD (324), plus 795 Japanese controls. Only one association, with schizophrenia in females, was detected in the haplotype analysis (P = 0.0362). However, this significance did not remain after Bonferroni correction (P = 0.0724). No significant association was found with BP and MDD. In conclusion, we suggest that CLOCK may not play a major role in the pathophysiology of Japanese schizophrenia, BP and MDD patients. However, it will be important to replicate and confirm these findings in other independent studies using large samples.
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Affiliation(s)
- Taro Kishi
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
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Fatemi SH, Folsom TD, Reutiman TJ, Abu-Odeh D, Mori S, Huang H, Oishi K. Abnormal expression of myelination genes and alterations in white matter fractional anisotropy following prenatal viral influenza infection at E16 in mice. Schizophr Res 2009; 112:46-53. [PMID: 19487109 PMCID: PMC2735410 DOI: 10.1016/j.schres.2009.04.014] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2009] [Revised: 04/03/2009] [Accepted: 04/09/2009] [Indexed: 01/26/2023]
Abstract
Prenatal viral infection has been associated with the development of schizophrenia and autism. Our laboratory has previously shown that viral infection causes deleterious effects on brain structure and function in mouse offspring following late first trimester (E9) and late second trimester (E18) administration of influenza virus. We hypothesized that middle second trimester infection (E16) in mice may lead to a different pattern of brain gene expression and structural defects in the developing offspring. C57BL6 mice were infected on E16 with a sublethal dose of human influenza virus or sham-infected using vehicle solution. Male offspring of the infected mice were collected at P0, P14, P35, and P56, their brains removed and cerebella dissected and flash frozen. Microarray, DTI and MRI scanning, as well as qRT-PCR and SDS-PAGE and western blotting analyses were performed to detect differences in gene expression and brain atrophy. Expression of several genes associated with myelination, including Mbp, Mag, and Plp1 were found to be altered, as were protein levels of Mbp, Mag, and DM20. Brain imaging revealed significant atrophy in cerebellum at P14, reduced fractional anisotropy in white matter of the right internal capsule at P0, and increased fractional anisotropy in white matter in corpus callosum at P14 and right middle cerebellar peduncle at P56. We propose that maternal infection in mouse impacts myelination genes.
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Affiliation(s)
- S. Hossein Fatemi
- Department of Psychiatry, Division of Neuroscience Research, University of Minnesota Medical School, 420 Delaware St SE, MMC 392, Minneapolis, MN 55455, Department of Pharmacology, University of Minnesota Medical School, 310 Church St. SE, Minneapolis, MN 55455, Department of Neuroscience, University of Minnesota Medical School, 310 Church St. SE, Minneapolis, MN 55455
| | - Timothy D. Folsom
- Department of Psychiatry, Division of Neuroscience Research, University of Minnesota Medical School, 420 Delaware St SE, MMC 392, Minneapolis, MN 55455
| | - Teri J. Reutiman
- Department of Psychiatry, Division of Neuroscience Research, University of Minnesota Medical School, 420 Delaware St SE, MMC 392, Minneapolis, MN 55455
| | - Desiree Abu-Odeh
- Department of Psychiatry, Division of Neuroscience Research, University of Minnesota Medical School, 420 Delaware St SE, MMC 392, Minneapolis, MN 55455
| | - Susumu Mori
- Department of Radiology, Division of NMR, Johns Hopkins University, School of Medicine, 720 Rutland Avenue, Baltimore, MD 21287
| | - Hao Huang
- Department of Radiology, Division of NMR, Johns Hopkins University, School of Medicine, 720 Rutland Avenue, Baltimore, MD 21287
| | - Kenichi Oishi
- Department of Radiology, Division of NMR, Johns Hopkins University, School of Medicine, 720 Rutland Avenue, Baltimore, MD 21287
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Tabarés-Seisdedos R, Rubenstein JLR. Chromosome 8p as a potential hub for developmental neuropsychiatric disorders: implications for schizophrenia, autism and cancer. Mol Psychiatry 2009; 14:563-89. [PMID: 19204725 DOI: 10.1038/mp.2009.2] [Citation(s) in RCA: 179] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Defects in genetic and developmental processes are thought to contribute susceptibility to autism and schizophrenia. Presumably, owing to etiological complexity identifying susceptibility genes and abnormalities in the development has been difficult. However, the importance of genes within chromosomal 8p region for neuropsychiatric disorders and cancer is well established. There are 484 annotated genes located on 8p; many are most likely oncogenes and tumor-suppressor genes. Molecular genetics and developmental studies have identified 21 genes in this region (ADRA1A, ARHGEF10, CHRNA2, CHRNA6, CHRNB3, DKK4, DPYSL2, EGR3, FGF17, FGF20, FGFR1, FZD3, LDL, NAT2, NEF3, NRG1, PCM1, PLAT, PPP3CC, SFRP1 and VMAT1/SLC18A1) that are most likely to contribute to neuropsychiatric disorders (schizophrenia, autism, bipolar disorder and depression), neurodegenerative disorders (Parkinson's and Alzheimer's disease) and cancer. Furthermore, at least seven nonprotein-coding RNAs (microRNAs) are located at 8p. Structural variants on 8p, such as copy number variants, microdeletions or microduplications, might also contribute to autism, schizophrenia and other human diseases including cancer. In this review, we consider the current state of evidence from cytogenetic, linkage, association, gene expression and endophenotyping studies for the role of these 8p genes in neuropsychiatric disease. We also describe how a mutation in an 8p gene (Fgf17) results in a mouse with deficits in specific components of social behavior and a reduction in its dorsomedial prefrontal cortex. We finish by discussing the biological connections of 8p with respect to neuropsychiatric disorders and cancer, despite the shortcomings of this evidence.
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Affiliation(s)
- R Tabarés-Seisdedos
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, CIBER-SAM, University of Valencia, Valencia, Spain.
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Genetic overlap among intelligence and other candidate endophenotypes for schizophrenia. Biol Psychiatry 2009; 65:527-34. [PMID: 19013556 DOI: 10.1016/j.biopsych.2008.09.020] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2008] [Revised: 09/23/2008] [Accepted: 09/23/2008] [Indexed: 01/13/2023]
Abstract
BACKGROUND A strategy to improve genetic studies of schizophrenia involves the use of endophenotypes. Information on overlapping genetic contributions among endophenotypes may provide additional power, reveal biological pathways, and have practical implications for genetic research. Several cognitive endophenotypes, including intelligence, are likely to be modulated by overlapping genetic influences. METHODS We quantified potential genetic and environmental correlations among endophenotypes for schizophrenia, including sensorimotor gating, openness, verbal fluency, early visual perception, spatial working memory, and intelligence, using variance component models in 35 patients and 145 relatives from 25 multigenerational Dutch families multiply affected with schizophrenia. RESULTS Significant correlations were found between spatial working memory and intelligence (.45), verbal fluency and intelligence (.36), verbal fluency and spatial working memory (.20), and early visual perception and spatial working memory (.19). A strong genetic correlation (.75) accounted for 76% of the variance shared between spatial working memory and intelligence. Significant environmental correlations were found between verbal fluency and openness (.50) and between verbal fluency and spatial working memory (.58). Sensorimotor gating and openness showed few genetic or environmental correlations with other endophenotypes. CONCLUSIONS Our results suggest that intelligence strongly overlaps genetically with a known cognitive endophenotype for schizophrenia. Intelligence may thus be a promising endophenotype for genetic research in schizophrenia, even though the underlying genetic mechanism may still be complex. In contrast, sensorimotor gating and openness appear to represent separate genetic entities with simpler inheritance patterns and may therefore augment the detection of separate genetic pathways contributing to schizophrenia.
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Kremeyer B, García J, Kymäläinen H, Wratten N, Restrepo G, Palacio C, Miranda AL, López C, Restrepo M, Bedoya G, Brzustowicz LM, Ospina-Duque J, Arbeláez MP, Ruiz-Linares A. Evidence for a role of the NOS1AP (CAPON) gene in schizophrenia and its clinical dimensions: an association study in a South American population isolate. Hum Hered 2008; 67:163-73. [PMID: 19077434 DOI: 10.1159/000181154] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2008] [Accepted: 05/20/2008] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Recent studies have implicated a region on chromosome 1q21-23, including the NOS1AP gene, in susceptibility to schizophrenia. However, replication studies have been inconsistent, a fact that could partly relate to the marked psychopathological heterogeneity of schizophrenia. The aim of this study is to evaluate association of polymorphisms in the NOS1AP gene region to schizophrenia, in patients from a South American population isolate, and to assess if these variants are associated with specific clinical dimensions of the disorder. METHODS We genotyped 24 densely spaced SNPs in the NOS1AP gene region in a schizophrenia trio sample. The transmission disequilibrium test (TDT) was applied to single marker and haplotype data. Association to clinical dimensions (identified by factor analysis) was evaluated using a quantitative transmission disequilibrium test (QTDT). RESULTS We found significant association between eight SNPs in the NOS1AP gene region to schizophrenia (minimum p value = 0.004). The QTDT analysis of clinical dimensions revealed an association to a dimension consisting mainly of negative symptoms (minimum p value 0.001). CONCLUSIONS Our findings are consistent with a role for NOS1AP in susceptibility to schizophrenia, especially for the 'negative syndrome' of the disorder.
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Affiliation(s)
- Barbara Kremeyer
- The Galton Laboratory, Department of Biology, University College London, London, UK
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Edwards TL, Wang X, Chen Q, Wormly B, Riley B, O’Neill FA, Walsh D, Ritchie MD, Kendler KS, Chen X. Interaction between interleukin 3 and dystrobrevin-binding protein 1 in schizophrenia. Schizophr Res 2008; 106:208-17. [PMID: 18804346 PMCID: PMC2746913 DOI: 10.1016/j.schres.2008.07.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2008] [Revised: 07/25/2008] [Accepted: 07/28/2008] [Indexed: 10/21/2022]
Abstract
Schizophrenia is a common psychotic mental disorder that is believed to result from the effects of multiple genetic and environmental factors. In this study, we explored gene-gene interactions and main effects in both case-control (657 cases and 411 controls) and family-based (273 families, 1,350 subjects) datasets of English or Irish ancestry. Fifty three markers in 8 genes were genotyped in the family sample and 44 markers in 7 genes were genotyped in the case-control sample. The Multifactor Dimensionality Reduction Pedigree Disequilibrium Test (MDR-PDT) was used to examine epistasis in the family dataset and a 3-locus model was identified (permuted p=0.003). The 3-locus model involved the IL3 (rs2069803), RGS4 (rs2661319), and DTNBP1 (rs2619539) genes. We used MDR to analyze the case-control dataset containing the same markers typed in the RGS4, IL3 and DTNBP1 genes and found evidence of a joint effect between IL3 (rs31400) and DTNBP1 (rs760761) (cross-validation consistency 4/5, balanced prediction accuracy=56.84%, p=0.019). While this is not a direct replication, the results obtained from both the family and case-control samples collectively suggest that IL3 and DTNBP1 are likely to interact and jointly contribute to increase risk for schizophrenia. We also observed a significant main effect in DTNBP1, which survived correction for multiple comparisons, and numerous nominally significant effects in several genes.
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Affiliation(s)
- Todd L Edwards
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37232 USA, Center for Genetic Epidemiology and Statistical Genetics, Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xu Wang
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA
| | - Qi Chen
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA
| | - Brandon Wormly
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA
| | - Brien Riley
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA
| | - F. Anthony O’Neill
- The Department of Psychiatry, The Queens University, Belfast, Northern Ireland, UK
| | | | - Marylyn D. Ritchie
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37232 USA
| | - Kenneth S. Kendler
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA
| | - Xiangning Chen
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298 USA,Corresponding author: X. Chen, , Telephone: 804 828 8124, Fax: 804 828 1471
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Chen Q, Wang X, O’Neill FA, Walsh D, Kendler KS, Chen X. Is the histidine triad nucleotide-binding protein 1 (HINT1) gene a candidate for schizophrenia? Schizophr Res 2008; 106:200-7. [PMID: 18799291 PMCID: PMC2729541 DOI: 10.1016/j.schres.2008.08.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2008] [Revised: 07/31/2008] [Accepted: 08/01/2008] [Indexed: 02/05/2023]
Abstract
BACKGROUND : The histidine triad nucleotide-binding protein 1, HINT1, hydrolyzes adenosine 5'-monophosphoramidate substrates such as AMP-morpholidate. The human HINT1 gene is located on chromosome 5q31.2, a region implicated in linkage studies of schizophrenia. HINT1 had been shown to have different expression in postmortem brains between schizophrenia patients and unaffected controls. It was also found to be associated with the dysregulation of postsynaptic dopamine transmission, thus suggesting a potential role in several neuropsychiatric diseases. METHODS : In this work, we studied 8 SNPs around the HINT1 gene region using the Irish study of high density schizophrenia families (ISHDSF, 1350 subjects and 273 pedigrees) and the Irish case control study of schizophrenia (ICCSS, 655 affected subjects and 626 controls). The expression level of HINT1 was compared between the postmortem brain cDNAs from schizophrenic patients and unaffected controls provided by the Stanley Medical Research Institute. RESULTS : We found nominally significant differences in allele frequencies in several SNPs for both ISHDSF and ICCSS samples in sex-stratified analyses. However, the sex effect differed between the two samples. In expression studies, no significant difference in expression was observed between patients and controls. However, significant interactions amongst sex, diagnosis and rs3864283 genotypes were observed. CONCLUSION : Data from both association and expression studies suggested that variants at HINT1 may be associated with schizophrenia and the associations may be sex-specific. However, the markers showing associations were in high LD to the SPEC2/PDZ-GEF2/ACSL6 locus reported previously in the same samples. This made it difficult to separate the association signals amongst these genes. Other independent studies may be necessary to distinguish these candidate genes.
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Affiliation(s)
- Qi Chen
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298
| | - Xu Wang
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298
| | - Francis A. O’Neill
- The Department of Psychiatry, The Queens University, Belfast, Northern Ireland
| | | | - Kenneth S. Kendler
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298
| | - Xiangning Chen
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, 800 E. Leigh Street, Richmond, VA 23298,Corresponding author: X. Chen, , Telephone: 804 828 8124, Fax: 804 828 1471
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Chen X, Wang X, Sun C, Chen Q, O’Neill FA, Walsh D, Fanous A, Kendler KS. FBXL21 association with schizophrenia in Irish family and case-control samples. Am J Med Genet B Neuropsychiatr Genet 2008; 147B:1231-7. [PMID: 18404645 PMCID: PMC2859303 DOI: 10.1002/ajmg.b.30759] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
FBXL21 gene encodes an F-box containing protein functioning in the SCF ubiquitin ligase complex. The role of the F-box protein is to recruit proteins designated for degradation to the ligase complex so they would be ubiquitinated. Using both family and case-control samples, we found consistent associations in and around FBXL21 gene. In the family sample (Irish study of high density schizophrenia families, ISHDSF, 1,350 subjects from 273 families), a minimal PDT P-value of 0.0011 was observed at rs31555. In the case-control sample (Irish case-control study of schizophrenia, ICCSS, 814 cases and 625 controls), significant associations were observed at two markers (rs1859427 P = 0.0197, and rs6861170 P = 0.0197). In haplotype analyses, haplotype 1-1 (C-T) of rs1859427-rs6861170 was overtransmitted in the ISHDSF (P = 0.0437) and was overrepresented in the ICCSS (P = 0.0177). For both samples, the associated alleles and haplotypes were identical. These data suggested that FBXL21 may be associated with schizophrenia in the Irish samples.
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Affiliation(s)
- Xiangning Chen
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia,
| | - Xu Wang
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Cuie Sun
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Qi Chen
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - F. Anthony O’Neill
- The Department of Psychiatry, The Queens University, Belfast, Northern Ireland, UK
| | | | - Ayman Fanous
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia,Washington VA Medical Center-Georgetown University Medical Center Schizophrenia Research Program, Washington, District of Columbia
| | - Kenneth S. Kendler
- Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia
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Crespi B. Genomic imprinting in the development and evolution of psychotic spectrum conditions. Biol Rev Camb Philos Soc 2008; 83:441-93. [PMID: 18783362 DOI: 10.1111/j.1469-185x.2008.00050.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
I review and evaluate genetic and genomic evidence salient to the hypothesis that the development and evolution of psychotic spectrum conditions have been mediated in part by alterations of imprinted genes expressed in the brain. Evidence from the genetics and genomics of schizophrenia, bipolar disorder, major depression, Prader-Willi syndrome, Klinefelter syndrome, and other neurogenetic conditions support the hypothesis that the etiologies of psychotic spectrum conditions commonly involve genetic and epigenetic imbalances in the effects of imprinted genes, with a bias towards increased relative effects from imprinted genes with maternal expression or other genes favouring maternal interests. By contrast, autistic spectrum conditions, including Kanner autism, Asperger syndrome, Rett syndrome, Turner syndrome, Angelman syndrome, and Beckwith-Wiedemann syndrome, commonly engender increased relative effects from paternally expressed imprinted genes, or reduced effects from genes favouring maternal interests. Imprinted-gene effects on the etiologies of autistic and psychotic spectrum conditions parallel the diametric effects of imprinted genes in placental and foetal development, in that psychotic spectrum conditions tend to be associated with undergrowth and relatively-slow brain development, whereas some autistic spectrum conditions involve brain and body overgrowth, especially in foetal development and early childhood. An important role for imprinted genes in the etiologies of psychotic and autistic spectrum conditions is consistent with neurodevelopmental models of these disorders, and with predictions from the conflict theory of genomic imprinting.
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Affiliation(s)
- Bernard Crespi
- Department of Biosciences, Simon Fraser University, Burnaby BCV5A1S6, Canada.
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Richards M, Iijima Y, Shizuno T, Kamegaya Y, Hori H, Omori M, Arima K, Saitoh O, Kunugi H. Failure to confirm an association between Epsin 4 and schizophrenia in a Japanese population. J Neural Transm (Vienna) 2008; 115:1347-54. [PMID: 18696005 DOI: 10.1007/s00702-008-0100-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2008] [Accepted: 07/20/2008] [Indexed: 10/21/2022]
Abstract
Previous studies suggested that genetic variations in the 5' region of Epsin 4, a gene encoding enthoprotin on chromosome 5q33, are associated with schizophrenia. However, conflicting results have also been reported. We examined the possible association in a Japanese sample of 354 patients and 365 controls. Seventeen polymorphisms of Epsin 4 [3 microsatellites and 14 single nucleotide polymorphisms (SNPs)] were selected. A microsatellite marker (D5S1403) demonstrated a significant difference in the allele frequency between patients and controls (uncorrected P = 0.04). However, there was no significant difference in the genotype or allele frequency between the two groups for the other microsatellites or SNPs. Haplotype-based analysis provided no evidence for an association. The positive result at D5S1403 no longer reached statistical significance when multiple testing was taken into consideration. Our results suggest that the examined region of Epsin 4 does not have a major influence on susceptibility to schizophrenia in Japanese.
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Affiliation(s)
- Misty Richards
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawahigashi, Kodaira, Tokyo 187-8502, Japan
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Deng X, Sagata N, Takeuchi N, Tanaka M, Ninomiya H, Iwata N, Ozaki N, Shibata H, Fukumaki Y. Association study of polymorphisms in the neutral amino acid transporter genes SLC1A4, SLC1A5 and the glycine transporter genes SLC6A5, SLC6A9 with schizophrenia. BMC Psychiatry 2008; 8:58. [PMID: 18638388 PMCID: PMC2491607 DOI: 10.1186/1471-244x-8-58] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2007] [Accepted: 07/18/2008] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Based on the glutamatergic dysfunction hypothesis for schizophrenia pathogenesis, we have been performing systematic association studies of schizophrenia with the genes involved in glutametergic transmission. We report here association studies of schizophrenia with SLC1A4, SLC1A5 encoding neutral amino acid transporters ASCT1, ASCT2, and SLC6A5, SLC6A9 encoding glycine transporters GLYT2, GLYT1, respectively. METHODS We initially tested the association of 21 single nucleotide polymorphisms (SNPs) distributed in the four gene regions with schizophrenia using 100 Japanese cases-control pairs and examined allele, genotype and haplotype association with schizophrenia. The observed nominal significance were examined in the full-size samples (400 cases and 420 controls). RESULTS We observed nominally significant single-marker associations with schizophrenia in SNP2 (P = 0.021) and SNP3 (P = 0.029) of SLC1A4, SNP1 (P = 0.009) and SNP2 (P = 0.022) of SLC6A5. We also observed nominally significant haplotype associations with schizophrenia in the combinations of SNP2-SNP7 (P = 0.037) of SLC1A4 and SNP1-SNP4 (P = 0.043) of SLC6A5. We examined all of the nominal significance in the Full-size Sample Set, except one haplotype with insufficient LD. The significant association of SNP1 of SLC6A5 with schizophrenia was confirmed in the Full-size Sample Set (P = 0.018). CONCLUSION We concluded that at least one susceptibility locus for schizophrenia may be located within or nearby SLC6A5, whereas SLC1A4, SLC1A5 and SLC6A9 are unlikely to be major susceptibility genes for schizophrenia in the Japanese population.
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Affiliation(s)
- Xiangdong Deng
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
| | - Noriaki Sagata
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Naoko Takeuchi
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Masami Tanaka
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Hideaki Ninomiya
- Fukuoka Prefectural Dazaifu Hospital Psychiatric Center, Dazaifu, Fukuoka, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi 470-1192, Japan
| | - Norio Ozaki
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Hiroki Shibata
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Yasuyuki Fukumaki
- Division of Human Molecular Genetics, Research Center for Genetic Information, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
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Fanous AH, Neale MC, Webb BT, Straub RE, O'Neill FA, Walsh D, Riley BP, Kendler KS. Novel linkage to chromosome 20p using latent classes of psychotic illness in 270 Irish high-density families. Biol Psychiatry 2008; 64:121-7. [PMID: 18255048 DOI: 10.1016/j.biopsych.2007.11.023] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2007] [Revised: 10/12/2007] [Accepted: 11/06/2007] [Indexed: 12/01/2022]
Abstract
BACKGROUND Several lines of evidence suggest that the clinical heterogeneity of schizophrenia is due to genetic heterogeneity. Genetic heterogeneity may decrease the signal-to-noise ratio in linkage and association studies. Therefore, linkage studies of clinically homogeneous classes of psychotic illness may result in greater power to detect at least some loci. METHODS Latent class analysis was used to divide psychotic subjects from 270 Irish high-density families (N = 755) into six classes based on the Operational Criteria Checklist for Psychotic Illness. We heuristically call them Bipolar, Schizoaffective, Mania, Schizomania, Deficit Syndrome, and Core Schizophrenia. The latter four had prevalences of greater than .08 and were individually tested for linkage in a 10-cM nonparametric autosomal genomewide scan. Empirical significance was determined using 200 simulated genome scans. RESULTS Seven regions achieved empirical criteria for suggestive significance for at least one latent class: 5q23.2-q35.3, 8q13.1-q23.1, 10q23.33-q26.3, 12q21.2-q24.32, 19q13.32-q13.43, 20p13-q22.3, and 21q11.2-q22.3. Five of 200 simulated scans resulted in seven suggestively significant loci (experiment-wide p = .03). Furthermore, at 20p13-p12.2, the Mania and Schizomania classes individually achieved criteria, whereas Deficit Syndrome had a suggestive logarithm of the odds peak 28 cM centromeric to this locus. CONCLUSIONS Using empirically derived, clinically homogeneous phenotypes, four chromosomal regions were suggestively linked but provided little evidence of linkage using traditional operationalized criteria. This approach was particularly fruitful on chromosome 20, which had previously yielded little evidence of linkage. Future studies of psychiatric illness may increase their ability to detect linkage or association by using clinically homogeneous phenotypes.
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Pedrosa E, Stefanescu R, Margolis B, Petruolo O, Lo Y, Nolan K, Novak T, Stopkova P, Lachman HM. Analysis of protocadherin alpha gene enhancer polymorphism in bipolar disorder and schizophrenia. Schizophr Res 2008; 102:210-9. [PMID: 18508241 PMCID: PMC2862380 DOI: 10.1016/j.schres.2008.04.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2008] [Revised: 04/07/2008] [Accepted: 04/10/2008] [Indexed: 02/06/2023]
Abstract
Cadherins and protocadherins are cell adhesion proteins that play an important role in neuronal migration, differentiation and synaptogenesis, properties that make them targets to consider in schizophrenia (SZ) and bipolar disorder (BD) pathogenesis. Consequently, allelic variation occurring in protocadherin and cadherin encoding genes that map to regions of the genome targeted in SZ and BD linkage studies are particularly strong candidates to consider. One such set of candidate genes is the 5q31-linked PCDH family, which consists of more than 50 exons encoding three related, though distinct family members--alpha, beta, and gamma--which can generate thousands of different protocadherin proteins through alternative promoter usage and cis-alternative splicing. In this study, we focused on a SNP, rs31745, which is located in a putative PCDHalpha enhancer mapped by ChIP-chip using antibodies to covalently modified histone H3. A striking increase in homozygotes for the minor allele at this locus was detected in patients with BD. Molecular analysis revealed that the SNP causes allele-specific changes in binding to a brain protein. The findings suggest that the 5q31-linked PCDH locus should be more thoroughly considered as a disease-susceptibility locus in psychiatric disorders.
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Affiliation(s)
- Erika Pedrosa
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Radu Stefanescu
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Benjamin Margolis
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Oriana Petruolo
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
| | - Yungtai Lo
- Department of Epidemiology and Population Health Montefiore Medical Center, Albert Einstein College of Medicine
| | - Karen Nolan
- Department of Psychiatry, Nathan Kline Institute, Orangeburg, New York
| | - Tomas Novak
- Prague Psychiatric Center, Prague, Czech Republic
| | | | - Herbert M. Lachman
- Department of Psychiatry and Behavioral Sciences, Division of Basic Research, Albert Einstein College of Medicine, Bronx, New York
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Analysis of protocadherin alpha gene deletion variant in bipolar disorder and schizophrenia. Psychiatr Genet 2008; 18:110-5. [DOI: 10.1097/ypg.0b013e3282fa1838] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Murata M, Tsunoda M, Sumiyoshi T, Sumiyoshi C, Matsuoka T, Suzuki M, Ito M, Kurachi M. Calcineurin A gamma and B gene expressions in the whole blood in Japanese patients with schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2008; 32:1000-4. [PMID: 18343007 DOI: 10.1016/j.pnpbp.2008.01.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2007] [Revised: 01/18/2008] [Accepted: 01/19/2008] [Indexed: 01/26/2023]
Abstract
Calcineurin (CaN) has been regarded as a candidate gene for vulnerability of schizophrenia. Although CaN gene expression has been investigated with postmortem brain specimens or in association studies, little information is available about CaN gene expression levels in peripheral sources. We obtained whole blood samples from 16 patients with schizophrenia and 16 controls, and total RNA was extracted. CaN A gamma and CaN B genes were analyzed by quantitative RT-PCR. In the patient group, expression levels of both genes were correlated with psychopathology, as measured by the Brief Psychiatric Rating Scale (BPRS), and neuroleptic dose. No significant differences in CaN A gamma or CaN B gene expression were observed between patients with schizophrenia and normal controls. Linear regression analysis revealed that the CaN A gamma gene expression level was associated with the BPRS score but not with neuroleptic dose. Neither of the clinical variables was associated with the CaN B gene expression level. The results of this study suggest that the CaN A gamma gene may be an effective predictor of the progression of psychosis. The effect of medications on expression of CaN genes requires further study.
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Affiliation(s)
- Masahiko Murata
- Department of Psychiatry, National Hokuriku Hospital, 5963 Nobusue, Nanto, Toyama, Japan.
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QTLs identified for P3 amplitude in a non-clinical sample: importance of neurodevelopmental and neurotransmitter genes. Biol Psychiatry 2008; 63:864-73. [PMID: 17949694 DOI: 10.1016/j.biopsych.2007.09.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2007] [Revised: 06/26/2007] [Accepted: 09/07/2007] [Indexed: 11/20/2022]
Abstract
BACKGROUND The P3(00) event-related potential is an index of processing capacity (P3 amplitude) and stimulus evaluation (P3 latency) as well as a phenotypic marker of various forms of psychopathology where P3 abnormalities have been reported. METHODS A genome-wide linkage scan of 400-761 autosomal markers, at an average spacing of 5-10 centimorgans (cM), was completed in 647 twins/siblings (306 families mostly comprising dizygotic twins), mean age 16.3, range 15.4-20.1 years, for whom P3 amplitude and latency data were available. RESULTS Significant linkage for P3 amplitude was observed on chromosome 7q for the central recording site (logarithm-of-odds [LOD] = 3.88, p = .00002) and in the same region for both frontal (LOD = 2.19, p = .0015) and parietal (LOD = 1.67, p = .0053) sites, with multivariate analysis also identifying linkage in this region (LOD = 2.14, p = .0017). Suggestive linkage was also identified on 6p (LOD(max) = 2.49) and 12q (LOD(max) = 2.24), with other promising regions identified on 9q (LOD(max) = 2.14) and 10p (LOD(max) = 2.18). Less striking were the results for P3 latency; LOD > 1.5 were found on chromosomes 1q, 9q, 10q, 12q, and 19p. CONCLUSIONS This is a first step in the identification of genes for normal variation in the P3. Loci identified here for P3 amplitude suggest the possible importance of neurodevelopmental genes in addition to those influencing neurotransmitters, fitting with the evidence that P3 amplitude is sensitive to diverse types of brain abnormalities.
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Le-Niculescu H, McFarland MJ, Ogden CA, Balaraman Y, Patel S, Tan J, Rodd ZA, Paulus M, Geyer MA, Edenberg HJ, Glatt SJ, Faraone SV, Nurnberger JI, Kuczenski R, Tsuang MT, Niculescu AB. Phenomic, convergent functional genomic, and biomarker studies in a stress-reactive genetic animal model of bipolar disorder and co-morbid alcoholism. Am J Med Genet B Neuropsychiatr Genet 2008; 147B:134-66. [PMID: 18247375 DOI: 10.1002/ajmg.b.30707] [Citation(s) in RCA: 87] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We had previously identified the clock gene D-box binding protein (Dbp) as a potential candidate gene for bipolar disorder and for alcoholism, using a Convergent Functional Genomics (CFG) approach. Here we report that mice with a homozygous deletion of DBP have lower locomotor activity, blunted responses to stimulants, and gain less weight over time. In response to a chronic stress paradigm, these mice exhibit a diametric switch in these phenotypes. DBP knockout mice are also activated by sleep deprivation, similar to bipolar patients, and that activation is prevented by treatment with the mood stabilizer drug valproate. Moreover, these mice show increased alcohol intake following exposure to stress. Microarray studies of brain and blood reveal a pattern of gene expression changes that may explain the observed phenotypes. CFG analysis of the gene expression changes identified a series of novel candidate genes and blood biomarkers for bipolar disorder, alcoholism, and stress reactivity.
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Affiliation(s)
- H Le-Niculescu
- Laboratory of Neurophenomics, Indiana University School of Medicine, Indianapolis, Indiana
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