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Ranlund S, Calafato S, Thygesen JH, Lin K, Cahn W, Crespo‐Facorro B, de Zwarte SM, Díez Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall M, Kahn R, Kalaydjieva L, Kravariti E, McDonald C, McIntosh AM, McQuillin A, Picchioni M, Prata DP, Rujescu D, Schulze K, Shaikh M, Toulopoulou T, van Haren N, van Os J, Vassos E, Walshe M, Lewis C, Murray RM, Powell J, Bramon E. A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains. Am J Med Genet B Neuropsychiatr Genet 2018; 177:21-34. [PMID: 28851104 PMCID: PMC5763362 DOI: 10.1002/ajmg.b.32581] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 07/24/2017] [Indexed: 12/26/2022]
Abstract
This large multi-center study investigates the relationships between genetic risk for schizophrenia and bipolar disorder, and multi-modal endophenotypes for psychosis. The sample included 4,242 individuals; 1,087 patients with psychosis, 822 unaffected first-degree relatives of patients, and 2,333 controls. Endophenotypes included the P300 event-related potential (N = 515), lateral ventricular volume (N = 798), and the cognitive measures block design (N = 3,089), digit span (N = 1,437), and the Ray Auditory Verbal Learning Task (N = 2,406). Data were collected across 11 sites in Europe and Australia; all genotyping and genetic analyses were done at the same laboratory in the United Kingdom. We calculated polygenic risk scores for schizophrenia and bipolar disorder separately, and used linear regression to test whether polygenic scores influenced the endophenotypes. Results showed that higher polygenic scores for schizophrenia were associated with poorer performance on the block design task and explained 0.2% (p = 0.009) of the variance. Associations in the same direction were found for bipolar disorder scores, but this was not statistically significant at the 1% level (p = 0.02). The schizophrenia score explained 0.4% of variance in lateral ventricular volumes, the largest across all phenotypes examined, although this was not significant (p = 0.063). None of the remaining associations reached significance after correction for multiple testing (with alpha at 1%). These results indicate that common genetic variants associated with schizophrenia predict performance in spatial visualization, providing additional evidence that this measure is an endophenotype for the disorder with shared genetic risk variants. The use of endophenotypes such as this will help to characterize the effects of common genetic variation in psychosis.
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Affiliation(s)
- Siri Ranlund
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | | | - Kuang Lin
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Wiepke Cahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Benedicto Crespo‐Facorro
- CIBERSAMCentro Investigación Biomédica en Red Salud MentalMadridSpain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of MedicineUniversity of Cantabria–IDIVALSantanderSpain
| | - Sonja M.C. de Zwarte
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Álvaro Díez
- Division of PsychiatryUniversity College LondonLondonUK
- Laboratory of Cognitive and Computational Neuroscience—Centre for Biomedical Technology (CTB)Complutense University and Technical University of MadridMadridSpain
| | - Marta Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Conrad Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Assen Jablensky
- Centre for Clinical Research in NeuropsychiatryThe University of Western AustraliaPerth, Western AustraliaAustralia
| | - Rebecca Jones
- Division of PsychiatryUniversity College LondonLondonUK
| | - Mei‐Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical SchoolMcLean HospitalBelmontMassachusetts
| | - Rene Kahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Luba Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical ResearchThe University of Western AustraliaPerthAustralia
| | - Eugenia Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Colm McDonald
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience CentreNational University of Ireland GalwayGalwayIreland
| | - Andrew M. McIntosh
- Division of Psychiatry, University of EdinburghRoyal Edinburgh HospitalEdinburghUK
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
| | | | | | - Marco Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Diana P. Prata
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Faculdade de Medicina, Instituto de Medicina MolecularUniversidade de LisboaPortugal
| | - Dan Rujescu
- Department of PsychiatryLudwig‐Maximilians University of MunichMunichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity of Halle WittenbergHalleGermany
| | - Katja Schulze
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Madiha Shaikh
- North East London Foundation TrustLondonUK
- Research Department of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Timothea Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychology, Bilkent UniversityMain CampusBilkent, AnkaraTurkey
- Department of PsychologyThe University of Hong Kong, Pokfulam RdHong Kong SARChina
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong KongThe Hong Kong Jockey Club Building for Interdisciplinary ResearchHong Kong SARChina
| | - Neeltje van Haren
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Jim van Os
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychiatry and Psychology, Maastricht University Medical CentreEURONMaastrichtThe Netherlands
| | - Evangelos Vassos
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Muriel Walshe
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Cathryn Lewis
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Robin M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - John Powell
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Elvira Bramon
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Institute of Cognitive NeuroscienceUniversity College LondonLondonUK
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A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder. Int J Mol Sci 2017; 18:ijms18122763. [PMID: 29257106 PMCID: PMC5751362 DOI: 10.3390/ijms18122763] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 11/29/2017] [Accepted: 12/14/2017] [Indexed: 11/25/2022] Open
Abstract
Bipolar disorder is a common and severe mental illness with unsolved pathophysiology. A genome-wide association study (GWAS) has been used to find a number of risk genes, but it is difficult for a GWAS to find genes indirectly associated with a disease. To find core hub genes, we introduce a network analysis after the GWAS was conducted. Six thousand four hundred fifty eight single nucleotide polymorphisms (SNPs) with p < 0.01 were sifted out from Wellcome Trust Case Control Consortium (WTCCC) dataset and mapped to 2045 genes, which are then compared with the protein–protein network. One hundred twelve genes with a degree >17 were chosen as hub genes from which five significant modules and four core hub genes (FBXL13, WDFY2, bFGF, and MTHFD1L) were found. These core hub genes have not been reported to be directly associated with BD but may function by interacting with genes directly related to BD. Our method engenders new thoughts on finding genes indirectly associated with, but important for, complex diseases.
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53
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Croarkin PE, Luby JL, Cercy K, Geske JR, Veldic M, Simonson M, Joshi PT, Wagner KD, Walkup JT, Nassan MM, Cuellar-Barboza AB, Casuto L, McElroy SL, Jensen PS, Frye MA, Biernacka JM. Genetic Risk Score Analysis in Early-Onset Bipolar Disorder. J Clin Psychiatry 2017; 78:1337-1343. [PMID: 28199072 PMCID: PMC5818996 DOI: 10.4088/jcp.15m10314] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 05/02/2016] [Indexed: 12/14/2022]
Abstract
OBJECTIVE In this study, we performed a candidate genetic risk score (GRS) analysis of early-onset bipolar disorder (BD). METHODS Treatment of Early Age Mania (TEAM) study enrollment and sample collection took place from 2003 to 2008. Mayo Clinic Bipolar Biobank samples were collected from 2009 to 2013. Genotyping and analyses for the present study took place from 2013 to 2014. The diagnosis of BD was based on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria. Eight single-nucleotide polymorphisms (SNPs), previously reported in genome-wide association studies to be associated with BD, were chosen for GRS analysis in early-onset bipolar disease. These SNPs map to 3 genes: CACNA1C (calcium channel, voltage-dependent, L type, alpha 1C subunit), ANK3 (ankyrin-3, node of Ranvier [ankyrin G]), and ODZ4 (teneurin transmembrane protein 4 [formerly "odz, odd Oz/10-m homolog 4 {Drosophila}, ODZ4"]). The 8 candidate SNPs were genotyped in patients from the TEAM study (n = 69); adult patients with BD (n = 732), including a subset with early-onset illness (n = 192); and healthy controls (n = 776). GRS analyses were performed to compare early-onset cases with controls. In addition, associations of early-onset BD with individual SNPs and haplotypes were explored. RESULTS GRS analysis revealed associations of the risk score with early-onset BD (P = .01). Gene-level haplotype analysis comparing TEAM patients with controls suggested association of early-onset BD with a CACNA1C haplotype (global test, P = .01). At the level of individual SNPs, comparison of TEAM cases with healthy controls provided nominally significant evidence for association of SNP rs10848632 in CACNA1C with early-onset BD (P = .017), which did not remain significant after correction for multiple comparisons. CONCLUSIONS These preliminary analyses suggest that previously identified BD risk loci, especially CACNA1C, have a role in early-onset BD, possibly with stronger effects than for late-onset BD.
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Affiliation(s)
- Paul E Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
- Departments of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
| | - Kelly Cercy
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Jennifer R Geske
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Marin Veldic
- Departments of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Matthew Simonson
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Paramjit T Joshi
- Department of Psychiatry and Behavioral Sciences, Children's National Medical Center, Washington, DC, USA
| | - Karen Dineen Wagner
- Department of Psychiatry and Behavioral Sciences, The University of Texas Medical Branch, Galveston, Texas, USA
| | - John T Walkup
- Department of Psychiatry, Weill Cornell Medical College, New York, New York, USA
| | - Malik M Nassan
- Departments of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | | | | | - Mark A Frye
- Departments of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joanna M Biernacka
- Departments of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
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54
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 3: Evidence from chromosome 3 high density association screen. J Comp Neurol 2017; 526:59-79. [PMID: 28856687 DOI: 10.1002/cne.24311] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Revised: 07/29/2017] [Accepted: 07/31/2017] [Indexed: 12/30/2022]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes et al, Genet Med 2012, 14, 338-341) and convergent evidence from genetics, symptomatology, and psychopharmacology imply that there are intrinsic connections between these three major psychiatric disorders, for example, any two or even three of these disorders could co-exist in some families. A total of 60, 838 single-nucleotide polymorphisms (SNPs) on chromosome 3 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1,000 controls. The population of Shandong province was formed in 14 century and believed that it belongs to homogenous population. Associated SNPs were systematically revealed and outstanding susceptibility genes (CADPS, GRM7,KALRN, LSAMP, NLGN1, PRICKLE2, ROBO2) were identified. Unexpectedly, flanking genes for the associated SNPs distinctive for BPD and/or MDD were replicated in an enlarged cohort of 986 SCZ patients. The evidence from this chromosome 3 analysis supports the notion that both of bipolar and MDD might be subtypes of schizophrenia rather than independent disease entity. Also, a similar finding was detected on chromosome 5, 6, 7, and 8 (Chen et al. Am J Transl Res 2017;9 (5):2473-2491; Curr Mol Med 2016;16(9):840-854; Behav Brain Res 2015;293:241-251; Mol Neurobiol 2016. doi: 10.1007/s12035-016-0102-1). Furthermore, PRICKLE2 play an important role in the pathogenesis of three major psychoses in this population.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Bin Cai
- CapitalBio corporation, Beijing, People's Republic of China
| | - Xiaohong Chen
- CapitalBio corporation, Beijing, People's Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
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55
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Mohammadi A, Hesami E, Kargar M, Shams J. Detecting allocentric and egocentric navigation deficits in patients with schizophrenia and bipolar disorder using virtual reality. Neuropsychol Rehabil 2017; 28:398-415. [DOI: 10.1080/09602011.2017.1369888] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Alireza Mohammadi
- Neuroscience Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ehsan Hesami
- Department of Speech Therapy, University of Social Welfare and Rehabilitation Science, Tehran, Iran
| | - Mahmoud Kargar
- Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Jamal Shams
- Behavioral Research Center, Department of Psychiatry, Shahid Beheshti University of Medical Science, Tehran, Iran
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56
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Gene-wide Association Study Reveals RNF122 Ubiquitin Ligase as a Novel Susceptibility Gene for Attention Deficit Hyperactivity Disorder. Sci Rep 2017; 7:5407. [PMID: 28710364 PMCID: PMC5511183 DOI: 10.1038/s41598-017-05514-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 05/31/2017] [Indexed: 01/07/2023] Open
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood-onset neurodevelopmental condition characterized by pervasive impairment of attention, hyperactivity, and/or impulsivity that can persist into adulthood. The aetiology of ADHD is complex and multifactorial and, despite the wealth of evidence for its high heritability, genetic studies have provided modest evidence for the involvement of specific genes and have failed to identify consistent and replicable results. Due to the lack of robust findings, we performed gene-wide and pathway enrichment analyses using pre-existing GWAS data from 607 persistent ADHD subjects and 584 controls, produced by our group. Subsequently, expression profiles of genes surpassing a follow-up threshold of P-value < 1e-03 in the gene-wide analyses were tested in peripheral blood mononucleated cells (PBMCs) of 45 medication-naive adults with ADHD and 39 healthy unrelated controls. We found preliminary evidence for genetic association between RNF122 and ADHD and for its overexpression in adults with ADHD. RNF122 encodes for an E3 ubiquitin ligase involved in the proteasome-mediated processing, trafficking, and degradation of proteins that acts as an essential mediator of the substrate specificity of ubiquitin ligation. Thus, our findings support previous data that place the ubiquitin-proteasome system as a promising candidate for its involvement in the aetiology of ADHD.
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57
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Shinn AK, Roh YS, Ravichandran CT, Baker JT, Öngür D, Cohen BM. Aberrant cerebellar connectivity in bipolar disorder with psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:438-448. [PMID: 28730183 DOI: 10.1016/j.bpsc.2016.07.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND The cerebellum, which modulates affect and cognition in addition to motor functions, may contribute substantially to the pathophysiology of mood and psychotic disorders, such as bipolar disorder. A growing literature points to cerebellar abnormalities in bipolar disorder. However, no studies have investigated the topographic representations of resting state cerebellar networks in bipolar disorder, specifically their functional connectivity to cerebral cortical networks. METHODS Using a well-defined cerebral cortical parcellation scheme as functional connectivity seeds, we compared ten cerebellar resting state networks in 49 patients with bipolar disorder and a lifetime history of psychotic features and 55 healthy control participants matched for age, sex, and image signal-to-noise ratio. RESULTS Patients with psychotic bipolar disorder showed reduced cerebro-cerebellar functional connectivity in somatomotor A, ventral attention, salience, and frontoparietal control A and B networks relative to healthy control participants. These findings were not significantly correlated with current symptoms. CONCLUSIONS Patients with psychotic bipolar disorder showed evidence of cerebro-cerebellar dysconnectivity in selective networks. These disease-related changes were substantial and not explained by medication exposure or substance use. Therefore, they may be mechanistically relevant to the underlying susceptibility to mood dysregulation and psychosis. Cerebellar mechanisms deserve further exploration in psychiatric conditions, and this study's findings may have value in guiding future studies on pathophysiology and treatment of mood and psychotic disorders, in particular.
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Affiliation(s)
- Ann K Shinn
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Youkyung S Roh
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Caitlin T Ravichandran
- Program for Neuropsychiatric Research, McLean Hospital, Belmont, MA, USA.,Lurie Center for Autism, Massachusetts General Hospital for Children, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Justin T Baker
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Bruce M Cohen
- Program for Neuropsychiatric Research, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Lee Y, Kim SG, Lee B, Zhang Y, Kim Y, Kim S, Kim E, Kang H, Han K. Striatal Transcriptome and Interactome Analysis of Shank3-overexpressing Mice Reveals the Connectivity between Shank3 and mTORC1 Signaling. Front Mol Neurosci 2017; 10:201. [PMID: 28701918 PMCID: PMC5487420 DOI: 10.3389/fnmol.2017.00201] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 06/08/2017] [Indexed: 11/13/2022] Open
Abstract
Mania causes symptoms of hyperactivity, impulsivity, elevated mood, reduced anxiety and decreased need for sleep, which suggests that the dysfunction of the striatum, a critical component of the brain motor and reward system, can be causally associated with mania. However, detailed molecular pathophysiology underlying the striatal dysfunction in mania remains largely unknown. In this study, we aimed to identify the molecular pathways showing alterations in the striatum of SH3 and multiple ankyrin repeat domains 3 (Shank3)-overexpressing transgenic (TG) mice that display manic-like behaviors. The results of transcriptome analysis suggested that mammalian target of rapamycin complex 1 (mTORC1) signaling may be the primary molecular signature altered in the Shank3 TG striatum. Indeed, we found that striatal mTORC1 activity, as measured by mTOR S2448 phosphorylation, was significantly decreased in the Shank3 TG mice compared to wild-type (WT) mice. To elucidate the potential underlying mechanism, we re-analyzed previously reported protein interactomes, and detected a high connectivity between Shank3 and several upstream regulators of mTORC1, such as tuberous sclerosis 1 (TSC1), TSC2 and Ras homolog enriched in striatum (Rhes), via 94 common interactors that we denominated “Shank3-mTORC1 interactome”. We noticed that, among the 94 common interactors, 11 proteins were related to actin filaments, the level of which was increased in the dorsal striatum of Shank3 TG mice. Furthermore, we could co-immunoprecipitate Shank3, Rhes and Wiskott-Aldrich syndrome protein family verprolin-homologous protein 1 (WAVE1) proteins from the striatal lysate of Shank3 TG mice. By comparing with the gene sets of psychiatric disorders, we also observed that the 94 proteins of Shank3-mTORC1 interactome were significantly associated with bipolar disorder (BD). Altogether, our results suggest a protein interaction-mediated connectivity between Shank3 and certain upstream regulators of mTORC1 that might contribute to the abnormal striatal mTORC1 activity and to the manic-like behaviors of Shank3 TG mice.
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Affiliation(s)
- Yeunkum Lee
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea.,Department of Biomedical Sciences, College of Medicine, Korea UniversitySeoul, South Korea
| | - Sun Gyun Kim
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS)Daejeon, South Korea
| | - Bokyoung Lee
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea
| | - Yinhua Zhang
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea.,Department of Biomedical Sciences, College of Medicine, Korea UniversitySeoul, South Korea
| | - Yoonhee Kim
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea
| | - Shinhyun Kim
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea.,Department of Biomedical Sciences, College of Medicine, Korea UniversitySeoul, South Korea
| | - Eunjoon Kim
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS)Daejeon, South Korea.,Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST)Daejeon, South Korea
| | - Hyojin Kang
- HPC-enabled Convergence Technology Research Division, Korea Institute of Science and Technology InformationDaejeon, South Korea
| | - Kihoon Han
- Department of Neuroscience, College of Medicine, Korea UniversitySeoul, South Korea.,Department of Biomedical Sciences, College of Medicine, Korea UniversitySeoul, South Korea
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Henriksen MG, Nordgaard J, Jansson LB. Genetics of Schizophrenia: Overview of Methods, Findings and Limitations. Front Hum Neurosci 2017; 11:322. [PMID: 28690503 PMCID: PMC5480258 DOI: 10.3389/fnhum.2017.00322] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 06/06/2017] [Indexed: 01/12/2023] Open
Abstract
Genetics constitute a crucial risk factor to schizophrenia. In the last decade, molecular genetic research has produced novel findings, infusing optimism about discovering the biological roots of schizophrenia. However, the complexity of the object of inquiry makes it almost impossible for non-specialists in genetics (e.g., many clinicians and researchers) to get a proper understanding and appreciation of the genetic findings and their limitations. This study aims at facilitating such an understanding by providing a brief overview of some of the central methods and findings in schizophrenia genetics, from its historical origins to its current status, and also by addressing some limitations and challenges that confront this field of research. In short, the genetic architecture of schizophrenia has proven to be highly complex, heterogeneous and polygenic. The disease risk is constituted by numerous common genetic variants of only very small individual effect and by rare, highly penetrant genetic variants of larger effects. In spite of recent advances in molecular genetics, our knowledge of the etiopathogenesis of schizophrenia and the genotype-environment interactions remain limited.
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Affiliation(s)
- Mads G. Henriksen
- Mental Health Center Glostrup, University Hospital of CopenhagenCopenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of CopenhagenCopenhagen, Denmark
- Center for Subjectivity Research, University of CopenhagenCopenhagen, Denmark
| | - Julie Nordgaard
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of CopenhagenCopenhagen, Denmark
- Early Psychosis Intervention Center, Region Zealand Psychiatry Roskilde, University of CopenhagenCopenhagen, Denmark
| | - Lennart B. Jansson
- Mental Health Center Glostrup, University Hospital of CopenhagenCopenhagen, Denmark
- Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of CopenhagenCopenhagen, Denmark
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60
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Brühl AB, Sahakian BJ. Neuroscience-based Nomenclature: improving clinical and scientific terminology in research and clinical psychopharmacology. Psychol Med 2017; 47:1339-1341. [PMID: 28095940 DOI: 10.1017/s0033291716003603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- A B Brühl
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute,University of Cambridge,Cambridge,UK
| | - B J Sahakian
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute,University of Cambridge,Cambridge,UK
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Validity of remission and recovery criteria for schizophrenia and major depression: comparison of the results of two one-year follow-up naturalistic studies. Eur Arch Psychiatry Clin Neurosci 2017; 267:303-313. [PMID: 27785605 DOI: 10.1007/s00406-016-0741-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Accepted: 10/13/2016] [Indexed: 01/15/2023]
Abstract
The objective of the present study was the application and comparison of common remission and recovery criteria between patients with the diagnosis of schizophrenia and major depressive disorder (MDD) under inclusion of other outcome parameters. Patients with schizophrenia and MDD who were treated as inpatients at the beginning of the study were examined within two naturalistic follow-up trials from admission to discharge of an inpatient treatment period and the one-year follow-up assessment. PANSS criteria of the Remission in Schizophrenia Working Group (RSWG) for schizophrenia and HAMD criteria of the ACNP Task Force in MDD for depressive patients as well as the Clinical Global Impression-Severity Scale (CGI-S) were applied as symptomatic outcome measures additionally to functional outcome parameters. Data of 153 schizophrenia patients and 231 patients with a MDD episode have been included in the analysis. More depressive than schizophrenia patients reached a threshold score of ≤3 on the CGI-S, indicating symptomatic remission at discharge and at the one-year follow-up. In contrast similar proportions of patients reaching symptomatic remission at discharge from inpatient treatment and at the one-year follow-up in the schizophrenia and in the MDD group were found when disease-related consensus criteria (RSWG vs. ACNP Task Force) were used. Functional remission and recovery rates were significantly lower in schizophrenia than in depressive patients at the one-year follow-up visit. Common outcome criteria for remission and recovery in schizophrenia and major depression were not directly comparable. However, our results indicated a significantly poorer outcome in schizophrenia than in depressive patients according to terms of remission and recovery.
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Terrillion CE, Dao DT, Cachope R, Lobo MK, Puche AC, Cheer JF, Gould TD. Reduced levels of Cacna1c attenuate mesolimbic dopamine system function. GENES, BRAIN, AND BEHAVIOR 2017; 16:495-505. [PMID: 28186690 PMCID: PMC5457318 DOI: 10.1111/gbb.12371] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 01/22/2017] [Accepted: 02/02/2017] [Indexed: 12/25/2022]
Abstract
Genetic variation in CACNA1C, which codes for the L-type calcium channel (LTCC) Cav 1.2, is associated with clinical diagnoses of bipolar disorder, depression and schizophrenia. Dysregulation of the mesolimbic-dopamine (ML-DA) system is linked to these syndromes and LTCCs are required for normal DAergic neurotransmission between the ventral tegmental area (VTA) and nucleus accumbens (NAc). It is unclear, however, how variations in CACNA1C genotype, and potential subsequent changes in expression levels in these regions, modify risk. Using constitutive and conditional knockout mice, and treatment with the LTCC antagonist nimodipine, we examined the role of Cacna1c in DA-mediated behaviors elicited by psychomotor stimulants. Using fast-scan cyclic voltammetry, DA release and reuptake in the NAc were measured. We find that subsecond DA release in Cacna1c haploinsufficient mice lacks normal sensitivity to inhibition of the DA transporter (DAT). Constitutive haploinsufficiency of Cacna1c led to attenuation of hyperlocomotion following acute administration of stimulants specific to DAT, and locomotor sensitization of these mice to the DAT antagonist GBR12909 did not reach the same level as wild-type mice. The maintenance of sensitization to GBR12909 was attenuated by administration of nimodipine. Sensitization to GBR12909 was attenuated in mice with reduced Cacna1c selectively in the VTA but not in the NAc. Our findings show that Cacna1c is crucial for normal behavioral responses to DA stimulants and that its activity in the VTA is required for behavioral sensitization. Cacna1c likely exerts these effects through modifications to presynaptic ML-DA system function.
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Affiliation(s)
- Chantelle E. Terrillion
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - David T. Dao
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Roger Cachope
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Mary Kay Lobo
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Adam C. Puche
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Joseph F. Cheer
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Todd D. Gould
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Neuroscience, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Smeland OB, Wang Y, Lo MT, Li W, Frei O, Witoelar A, Tesli M, Hinds DA, Tung JY, Djurovic S, Chen CH, Dale AM, Andreassen OA. Identification of genetic loci shared between schizophrenia and the Big Five personality traits. Sci Rep 2017; 7:2222. [PMID: 28533504 PMCID: PMC5440373 DOI: 10.1038/s41598-017-02346-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 04/10/2017] [Indexed: 11/25/2022] Open
Abstract
Schizophrenia is associated with differences in personality traits, and recent studies suggest that personality traits and schizophrenia share a genetic basis. Here we aimed to identify specific genetic loci shared between schizophrenia and the Big Five personality traits using a Bayesian statistical framework. Using summary statistics from genome-wide association studies (GWAS) on personality traits in the 23andMe cohort (n = 59,225) and schizophrenia in the Psychiatric Genomics Consortium cohort (n = 82,315), we evaluated overlap in common genetic variants. The Big Five personality traits neuroticism, extraversion, openness, agreeableness and conscientiousness were measured using a web implementation of the Big Five Inventory. Applying the conditional false discovery rate approach, we increased discovery of genetic loci and identified two loci shared between neuroticism and schizophrenia and six loci shared between openness and schizophrenia. The study provides new insights into the relationship between personality traits and schizophrenia by highlighting genetic loci involved in their common genetic etiology.
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Affiliation(s)
- Olav B Smeland
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway.
| | - Yunpeng Wang
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093, United States of America
| | - Min-Tzu Lo
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, United States of America
| | - Wen Li
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Oleksandr Frei
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Aree Witoelar
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Martin Tesli
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
- Lovisenberg Diakonale Hospital, 0456, Oslo, Norway
| | - David A Hinds
- 23andMe, Inc., Mountain View, CA, 94041, United States of America
| | - Joyce Y Tung
- 23andMe, Inc., Mountain View, CA, 94041, United States of America
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Chi-Hua Chen
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, United States of America
| | - Anders M Dale
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093, United States of America
- Department of Radiology, University of California, San Diego, La Jolla, CA, 92093, United States of America
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway.
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 5: a hint from chromosome 5 high density association screen. Am J Transl Res 2017; 9:2473-2491. [PMID: 28559998 PMCID: PMC5446530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 01/31/2017] [Indexed: 06/07/2023]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes, M. F. Genet Med 2012, 14, 338-341) and any two or even three of these disorders could co-exist in some families. In addition, evidence from symptomatology and psychopharmacology also imply that there are intrinsic connections between these three major disorders. A total of 56,569 single nucleotide polymorphism (SNPs) on chromosome 5 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1000 controls. Associated SNPs and flanking genes was screen out systematically, and cadherin pathway genes (CDH6, CDH9, CDH10, CDH12, and CDH18) belong to outstanding genes. Unexpectedly, nearly all flanking genes of the associated SNPs distinctive for BPD and MDD were replicated in an enlarged cohort of 986 SCZ patients (P ≤ 9.9E-8). Considering multiple bits of evidence, our chromosome 5 analyses implicated that bipolar and major depressive disorder might be subtypes of schizophrenia rather than two independent disease entities. Also, cadherin pathway genes play important roles in the pathogenesis of the three major mental disorders.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
| | - Bin Cai
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Xiaohong Chen
- Capital Bio Corporation18 Life Science Parkway, Changping District, Beijing 102206, People’s Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences18877 Jingshi Road, Jinan 250062, Shandong, People’s Republic of China
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65
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Pacifico R, Davis RL. Transcriptome sequencing implicates dorsal striatum-specific gene network, immune response and energy metabolism pathways in bipolar disorder. Mol Psychiatry 2017; 22:441-449. [PMID: 27350034 DOI: 10.1038/mp.2016.94] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 04/08/2016] [Accepted: 05/09/2016] [Indexed: 12/12/2022]
Abstract
Bipolar disorder (BD) is a highly heritable and heterogeneous mental illness whose manifestations often include impulsive and risk-taking behavior. This particular phenotype suggests that abnormal striatal function could be involved in BD etiology, yet most transcriptomic studies of this disorder have concentrated on cortical brain regions. We believe we report the first transcriptome sequencing of the postmortem human dorsal striatum comparing bipolar (18) and control (17) subjects. Fourteen genes were detected as differentially expressed at a 5% false discovery rate, including a few immune response genes such as NLRC5, S100A12, LILRA4 and FCGBP, as well as an assortment of non-protein coding genes. Functional pathway analysis found an enrichment of upregulated genes across many immune/inflammation pathways and an enrichment of downregulated genes among oxidative phosphorylation pathways. Co-expression network analysis revealed 20 modules of highly interconnected genes; two of the modules were significantly enriched for BD susceptibility single-nucleotide polymorphisms deriving from a large genome-wide association study data set. Remarkably, the module with the highest genetic association signal for BD, which contained many genes from signaling pathways, was also enriched in markers characteristic of gene expression in dorsal striatum medium spiny neurons-unlike most other modules, which showed no such regional and neuronal specificity. These findings draw a link between BD etiology at the gene level and a specific brain region, and highlight striatal signaling pathways as potential targets for the development of novel treatments to manage BD.
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Affiliation(s)
- R Pacifico
- Department of Neuroscience, The Scripps Research Institute Florida, Jupiter, FL, USA
| | - R L Davis
- Department of Neuroscience, The Scripps Research Institute Florida, Jupiter, FL, USA
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66
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Völkening B, Schönig K, Kronenberg G, Bartsch D, Weber T. Deletion of psychiatric risk geneCacna1cimpairs hippocampal neurogenesis in cell-autonomous fashion. Glia 2017; 65:817-827. [DOI: 10.1002/glia.23128] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 01/19/2017] [Accepted: 01/31/2017] [Indexed: 01/04/2023]
Affiliation(s)
- Bianca Völkening
- Department of Molecular Biology; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University; J5 Mannheim 68159 Germany
| | - Kai Schönig
- Department of Molecular Biology; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University; J5 Mannheim 68159 Germany
| | - Golo Kronenberg
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Campus Charité Mitte; Charitéplatz 1 Berlin 10117 Germany
| | - Dusan Bartsch
- Department of Molecular Biology; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University; J5 Mannheim 68159 Germany
| | - Tillmann Weber
- Department of Molecular Biology; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University; J5 Mannheim 68159 Germany
- Department of Addictive Behavior and Addiction Medicine; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University; J5 Mannheim 68159 Germany
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67
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Sugranyes G, Solé-Padullés C, de la Serna E, Borras R, Romero S, Sanchez-Gistau V, Garcia-Rizo C, Goikolea JM, Bargallo N, Moreno D, Baeza I, Castro-Fornieles J. Cortical Morphology Characteristics of Young Offspring of Patients With Schizophrenia or Bipolar Disorder. J Am Acad Child Adolesc Psychiatry 2017; 56:79-88. [PMID: 27993232 DOI: 10.1016/j.jaac.2016.09.516] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 09/12/2016] [Accepted: 10/19/2016] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Cortical surface area and thickness abnormalities have been observed in patients with schizophrenia and bipolar disorders; however, no study thus far has examined cortical morphologic measurements in children and adolescents at genetic risk for the disorders comparatively. METHOD One hundred thirty-seven participants, including 36 offspring of patients with schizophrenia (SzO), 54 offspring of patients with bipolar disorder (BpO), and 47 offspring of community controls (CcO), 6 to 17 years old, were assessed with clinical and neuroimaging methods. Sixty-nine percent of the sample was reassessed at a 27.6-month (mean) follow-up. Cortical surface reconstruction was applied to measure cortical area and thickness using FreeSurfer; mixed-effects models were used to investigate cross-sectional and longitudinal differences in global and lobar morphologic measurements. RESULTS The SzO group exhibited a cross-sectional decrease in global, parietal, and occipital lobe surface area compared with the CcO group, and in the occipital lobe compared with the BpO group. In the SzO group, global and parietal surface area values were inversely associated with attenuated positive and negative prodromal symptom scores. No cross-sectional differences in cortical thickness were observed. Division of the sample by pubertal status showed group-by-time interactions in the pubertal and postpubertal SzO subgroup, with less longitudinal decrease in cortical surface area and thickness than in the CcO and BpO subgroups, respectively. CONCLUSION The SzO, but not the BpO, group was characterized by cross-sectional decreases in surface area, and this was associated with prodromal symptoms. Longitudinal changes in cortical morphology associated with risk for schizophrenia may be expressed differently according to developmental stage.
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Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium.
| | | | - Elena de la Serna
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Roger Borras
- August Pi i Sunyer Biomedical Research Institute, Barcelona
| | - Soledad Romero
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Vanessa Sanchez-Gistau
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Clemente Garcia-Rizo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Jose Manuel Goikolea
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Nuria Bargallo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Biomedical Research Networking Center Consortium; Image Diagnosis Center, Hospital Clínic, Barcelona
| | - Dolores Moreno
- Biomedical Research Networking Center Consortium; Hospital General Universitario Gregorio Marañón and School of Medicine, Universidad Complutense, Madrid
| | - Inmaculada Baeza
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Josefina Castro-Fornieles
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium; University of Barcelona
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Shang DS, Yang YM, Zhang H, Tian L, Jiang JS, Dong YB, Zhang K, Li B, Zhao WD, Fang WG, Chen YH. Intracerebral GM-CSF contributes to transendothelial monocyte migration in APP/PS1 Alzheimer's disease mice. J Cereb Blood Flow Metab 2016; 36:1978-1991. [PMID: 27444968 PMCID: PMC5094311 DOI: 10.1177/0271678x16660983] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 05/31/2016] [Accepted: 06/27/2016] [Indexed: 01/01/2023]
Abstract
Although tight junctions between human brain microvascular endothelial cells in the blood-brain barrier prevent molecules or cells in the bloodstream from entering the brain, in Alzheimer's disease, peripheral blood monocytes can "open" these tight junctions and trigger subsequent transendothelial migration. However, the mechanism underlying this migration is unclear. Here, we found that the CSF2RB, but not CSF2RA, subunit of the granulocyte-macrophage colony-stimulating factor receptor was overexpressed on monocytes from Alzheimer's disease patients. CSF2RB contributes to granulocyte-macrophage colony-stimulating factor-induced transendothelial monocyte migration. Granulocyte-macrophage colony-stimulating factor triggers human brain microvascular endothelial cells monolayer tight junction disassembly by downregulating ZO-1 expression via transcription modulation and claudin-5 expression via the ubiquitination pathway. Interestingly, intracerebral granulocyte-macrophage colony-stimulating factor blockade abolished the increased monocyte infiltration in the brains of APP/PS1 Alzheimer's disease model mice. Our results suggest that in Alzheimer's disease patients, high granulocyte-macrophage colony-stimulating factor levels in the brain parenchyma and cerebrospinal fluid induced blood-brain barrier opening, facilitating the infiltration of CSF2RB-expressing peripheral monocytes across blood-brain barrier and into the brain. CSF2RB might be useful as an Alzheimer's disease biomarker. Thus, our findings will help to understand the mechanism of monocyte infiltration in Alzheimer's disease pathogenesis.
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Affiliation(s)
- De S Shang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Yi M Yang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Hu Zhang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Li Tian
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Jiu S Jiang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Yan B Dong
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Ke Zhang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Bo Li
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Wei D Zhao
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Wen G Fang
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
| | - Yu H Chen
- Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, P.R. China
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Andrade A, Hope J, Allen A, Yorgan V, Lipscombe D, Pan JQ. A rare schizophrenia risk variant of CACNA1I disrupts Ca V3.3 channel activity. Sci Rep 2016; 6:34233. [PMID: 27756899 PMCID: PMC5069464 DOI: 10.1038/srep34233] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 09/07/2016] [Indexed: 02/04/2023] Open
Abstract
CACNA1I is a candidate schizophrenia risk gene. It encodes the pore-forming human CaV3.3 α1 subunit, a subtype of voltage-gated calcium channel that contributes to T-type currents. Recently, two de novo missense variations, T797M and R1346H, of hCaV3.3 were identified in individuals with schizophrenia. Here we show that R1346H, but not T797M, is associated with lower hCaV3.3 protein levels, reduced glycosylation, and lower membrane surface levels of hCaV3.3 when expressed in human cell lines compared to wild-type. Consistent with our biochemical analyses, whole-cell hCaV3.3 currents in cells expressing the R1346H variant were ~50% of those in cells expressing WT hCaV3.3, and neither R1346H nor T797M altered channel biophysical properties. Employing the NEURON simulation environment, we found that reducing hCaV3.3 current densities by 22% or more eliminates rebound bursting in model thalamic reticular nucleus (TRN) neurons. Our analyses suggest that a single copy of Chr22: 39665939G > A CACNA1I has the capacity to disrupt CaV3.3 channel-dependent functions, including rebound bursting in TRN neurons, with potential implications for schizophrenia pathophysiology.
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Affiliation(s)
- A Andrade
- Department of Biological Sciences, College of Life Sciences and Agriculture, University of New Hampshire, Durham, NH 03824, USA.,Brown Institute for Brain Science, Providence, RI 02912, USA
| | - J Hope
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - A Allen
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - V Yorgan
- Brown Institute for Brain Science, Providence, RI 02912, USA
| | - D Lipscombe
- Brown Institute for Brain Science, Providence, RI 02912, USA
| | - J Q Pan
- Stanley Center of Psychiatric Research, Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
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van de Leemput J, Hess JL, Glatt SJ, Tsuang MT. Genetics of Schizophrenia: Historical Insights and Prevailing Evidence. ADVANCES IN GENETICS 2016; 96:99-141. [PMID: 27968732 DOI: 10.1016/bs.adgen.2016.08.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Schizophrenia's (SZ's) heritability and familial transmission have been known for several decades; however, despite the clear evidence for a genetic component, it has been very difficult to pinpoint specific causative genes. Even so genetic studies have taught us a lot, even in the pregenomic era, about the molecular underpinnings and disease-relevant pathways. Recurring themes emerged revealing the involvement of neurodevelopmental processes, glutamate regulation, and immune system differential activation in SZ etiology. The recent emergence of epigenetic studies aimed at shedding light on the biological mechanisms underlying SZ has provided another layer of information in the investigation of gene and environment interactions. However, this epigenetic insight also brings forth another layer of complexity to the (epi)genomic landscape such as interactions between genetic variants, epigenetic marks-including cross-talk between DNA methylation and histone modification processes-, gene expression regulation, and environmental influences. In this review, we seek to synthesize perspectives, including limitations and obstacles yet to overcome, from genetic and epigenetic literature on SZ through a qualitative review of risk factors and prevailing hypotheses. Encouraged by the findings of both genetic and epigenetic studies to date, as well as the continued development of new technologies to collect and interpret large-scale studies, we are left with a positive outlook for the future of elucidating the molecular genetic mechanisms underlying SZ and other complex neuropsychiatric disorders.
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Affiliation(s)
- J van de Leemput
- University of California, San Diego, La Jolla, CA, United States
| | - J L Hess
- SUNY Upstate Medical University, Syracuse, NY, United States
| | - S J Glatt
- SUNY Upstate Medical University, Syracuse, NY, United States
| | - M T Tsuang
- University of California, San Diego, La Jolla, CA, United States
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Dean B, Scarr E. COMT genotype is associated with differential expression of muscarinic M1 receptors in human cortex. Am J Med Genet B Neuropsychiatr Genet 2016; 171:784-9. [PMID: 26954460 DOI: 10.1002/ajmg.b.32440] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 02/10/2016] [Indexed: 01/18/2023]
Abstract
Catechol-O-methyltransferase (COMT) genotype has been associated with varying levels of cognitive functioning and an altered risk of schizophrenia. COMT regulates the breakdown of catecholamines, particularly dopamine, which is thought critical in maintaining cognitive function and the aetiology of schizophrenia. This hypothesis gained support from reports that the VAL allele at rs4680 was associated with poorer performance on cognitive tests and a slightly increased risk of schizophrenia. More recently, genotype at rs4818, part of a hapblock with rs4680, has been shown to impact on cognitive ability more than genotype at rs4680 but, as yet, not the risk for schizophrenia. Here, we determined if COMT genotype at rs4680 or rs4818, as well as rs165519 and rs737865, two synonymous single nucleotide polymorphisms (SNPs) with no known functional consequences, were associated with an altered risk of schizophrenia and if genotype at the four COMT SNPs was related to expression of the cortical muscarinic M1 receptor (CHRM1) because the expression of the cortical CHRM1 has been reported to be lower in schizophrenia and is important in maintaining cognitive functioning in humans. We report that the variation in gene sequence at the four COMT SNPs studied was not associated with an altered the risk of schizophrenia but genotype at rs4680 and rs4818, but not rs165519 and rs737865, were associated with varying levels of cortical CHRM1 expression in the human dorsolateral prefrontal cortex (DLPFC). These data are the first to suggest that levels of CHRM1 in the human DLPFC are, in part, determined by COMT gene sequence. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Brian Dean
- The Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia.,The CRC for Mental Health, Parkville, Victoria, Australia.,Department of Psychiatry, University of Melbourne, Victoria, Australia
| | - Elizabeth Scarr
- The Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia.,The CRC for Mental Health, Parkville, Victoria, Australia.,Department of Psychiatry, University of Melbourne, Victoria, Australia
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72
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Mullins C, Fishell G, Tsien RW. Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops. Neuron 2016; 89:1131-1156. [PMID: 26985722 DOI: 10.1016/j.neuron.2016.02.017] [Citation(s) in RCA: 129] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2016] [Indexed: 12/31/2022]
Abstract
Understanding the mechanisms underlying autism spectrum disorders (ASDs) is a challenging goal. Here we review recent progress on several fronts, including genetics, proteomics, biochemistry, and electrophysiology, that raise motivation for forming a viable pathophysiological hypothesis. In place of a traditionally unidirectional progression, we put forward a framework that extends homeostatic hypotheses by explicitly emphasizing autoregulatory feedback loops and known synaptic biology. The regulated biological feature can be neuronal electrical activity, the collective strength of synapses onto a dendritic branch, the local concentration of a signaling molecule, or the relative strengths of synaptic excitation and inhibition. The sensor of the biological variable (which we have termed the homeostat) engages mechanisms that operate as negative feedback elements to keep the biological variable tightly confined. We categorize known ASD-associated gene products according to their roles in such feedback loops and provide detailed commentary for exemplar genes within each module.
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Affiliation(s)
- Caitlin Mullins
- Department of Neuroscience and Physiology, Neuroscience Institute, New York University Langone Medical Center, New York, NY 10016, USA
| | - Gord Fishell
- Department of Neuroscience and Physiology, Neuroscience Institute, New York University Langone Medical Center, New York, NY 10016, USA
| | - Richard W Tsien
- Department of Neuroscience and Physiology, Neuroscience Institute, New York University Langone Medical Center, New York, NY 10016, USA.
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73
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Nakamura T, Kazuno AA, Nakajima K, Kusumi I, Tsuboi T, Kato T. Loss of function mutations in ATP2A2 and psychoses: A case report and literature survey. Psychiatry Clin Neurosci 2016; 70:342-50. [PMID: 27106560 DOI: 10.1111/pcn.12395] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Revised: 04/14/2016] [Accepted: 04/20/2016] [Indexed: 12/14/2022]
Abstract
AIM Though genetic factors play a major role in the pathophysiology of psychoses including bipolar disorder (BD) and schizophrenia, lack of well-established causative genetic mutations hampers their neurobiological studies. Darier's disease, an autosomal dominant skin disorder caused by mutations of ATP2A2 on chromosome 12q23-24.1, encoding sarco/endoplasmic reticulum calcium transporting ATPase 2 (SERCA2), reportedly cosegregates with BD. A recent genome-wide association study showed an association of schizophrenia with ATP2A2. METHODS We sequenced all coding regions of ATP2A2 in a newly identified patient with Darier's disease and BD. In addition, we performed a literature survey to examine whether likely gene disrupting (LGD) mutations are related to psychoses. RESULTS We identified a rare heterozygous mutation, c.1288-6A>G, at the 3' end of intron 10 in the patient. A minigene splicing assay showed that this mutation introduces a new splice site causing a frameshift and premature stop codon. A literature survey of case reports of patients with Darier's disease and psychoses revealed that the rate of LGD mutations causing frameshift, altered splicing, gain of stop codon, or loss of start codon was significantly higher among the mutations harbored by these cases (9 of 11) than that of ATP2A2 mutations for which comorbidity of psychosis was not reported (107 of 237, P = 0.026). The only non-LGD mutation (p.C560R) reported in patients with Darier's disease and BD caused decreased ATP2A2 protein expression. CONCLUSION These results suggest that psychoses in Darier's disease may be caused by a pleiotropic effect of loss-of-function mutations of ATP2A2.
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Affiliation(s)
- Takumi Nakamura
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.,Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako, Japan
| | - An-A Kazuno
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako, Japan
| | - Kazuo Nakajima
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Takashi Tsuboi
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako, Japan
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74
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Tawa EA, Hall SD, Lohoff FW. Overview of the Genetics of Alcohol Use Disorder. Alcohol Alcohol 2016; 51:507-14. [PMID: 27445363 DOI: 10.1093/alcalc/agw046] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 06/23/2016] [Indexed: 01/01/2023] Open
Abstract
AIMS Alcohol Use Disorder (AUD) is a chronic psychiatric illness characterized by harmful drinking patterns leading to negative emotional, physical, and social ramifications. While the underlying pathophysiology of AUD is poorly understood, there is substantial evidence for a genetic component; however, identification of universal genetic risk variants for AUD has been difficult. Recent efforts in the search for AUD susceptibility genes will be reviewed in this article. METHODS In this review, we provide an overview of genetic studies on AUD, including twin studies, linkage studies, candidate gene studies, and genome-wide association studies (GWAS). RESULTS Several potential genetic susceptibility factors for AUD have been identified, but the genes of alcohol metabolism, alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), have been found to be protective against the development of AUD. GWAS have also identified a heterogeneous list of SNPs associated with AUD and alcohol-related phenotypes, emphasizing the complexity and heterogeneity of the disorder. In addition, many of these findings have small effect sizes when compared to alcohol metabolism genes, and biological relevance is often unknown. CONCLUSIONS Although studies spanning multiple approaches have suggested a genetic basis for AUD, identification of the genetic risk variants has been challenging. Some promising results are emerging from GWAS studies; however, larger sample sizes are needed to improve GWAS results and resolution. As the field of genetics is rapidly developing, whole genome sequencing could soon become the new standard of interrogation of the genes and neurobiological pathways which contribute to the complex phenotype of AUD. SHORT SUMMARY This review examines the genetic underpinnings of Alcohol Use Disorder (AUD), with an emphasis on GWAS approaches for identifying genetic risk variants. The most promising results associated with AUD and alcohol-related phenotypes have included SNPs of the alcohol metabolism genes ADH and ALDH.
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Affiliation(s)
- Elisabeth A Tawa
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Samuel D Hall
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Falk W Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
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Kataoka M, Matoba N, Sawada T, Kazuno AA, Ishiwata M, Fujii K, Matsuo K, Takata A, Kato T. Exome sequencing for bipolar disorder points to roles of de novo loss-of-function and protein-altering mutations. Mol Psychiatry 2016; 21:885-93. [PMID: 27217147 PMCID: PMC5414074 DOI: 10.1038/mp.2016.69] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 02/16/2016] [Accepted: 03/14/2016] [Indexed: 12/29/2022]
Abstract
Although numerous genetic studies have been conducted for bipolar disorder (BD), its genetic architecture remains elusive. Here we perform, to the best of our knowledge, the first trio-based exome sequencing study for BD to investigate potential roles of de novo mutations in the disease etiology. We identified 71 de novo point mutations and one de novo copy-number mutation in 79 BD probands. Among the genes hit by de novo loss-of-function (LOF; nonsense, splice site or frameshift) or protein-altering (LOF, missense and inframe indel) mutations, we found significant enrichment of genes highly intolerant (first percentile of intolerant genes assessed by Residual Variation Intolerance Score) to protein-altering variants in general population, an observation that is also reported in autism and schizophrenia. When we performed a joint analysis using the data of schizoaffective disorder in published studies, we found global enrichment of de novo LOF and protein-altering mutations in the combined group of bipolar I and schizoaffective disorders. Considering relationship between de novo mutations and clinical phenotypes, we observed significantly earlier disease onset among the BD probands with de novo protein-altering mutations when compared with non-carriers. Gene ontology enrichment analysis of genes hit by de novo protein-altering mutations in bipolar I and schizoaffective disorders did not identify any significant enrichment. These results of exploratory analyses collectively point to the roles of de novo LOF and protein-altering mutations in the etiology of bipolar disorder and warrant further large-scale studies.
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Affiliation(s)
- M Kataoka
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan,Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - N Matoba
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan,Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - T Sawada
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan
| | - A-A Kazuno
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan
| | - M Ishiwata
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan
| | - K Fujii
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan,Department of Psychiatry, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - K Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - A Takata
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan,Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, 2-1 Hirosawa Wako, Saitama 351-0198, Japan. E-mail: or
| | - T Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan,Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, 2-1 Hirosawa Wako, Saitama 351-0198, Japan. E-mail: or
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76
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Tang W, Thevathasan JV, Lin Q, Lim KB, Kuroda K, Kaibuchi K, Bilger M, Soong TW, Fivaz M. Stimulation of Synaptic Vesicle Exocytosis by the Mental Disease Gene DISC1 is Mediated by N-Type Voltage-Gated Calcium Channels. Front Synaptic Neurosci 2016; 8:15. [PMID: 27378904 PMCID: PMC4906242 DOI: 10.3389/fnsyn.2016.00015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 05/31/2016] [Indexed: 11/13/2022] Open
Abstract
Lesions and mutations of the DISC1 (Disrupted-in-schizophrenia-1) gene have been linked to major depression, schizophrenia, bipolar disorder and autism, but the influence of DISC1 on synaptic transmission remains poorly understood. Using two independent genetic approaches-RNAi and a DISC1 KO mouse-we examined the impact of DISC1 on the synaptic vesicle (SV) cycle by population imaging of the synaptic tracer vGpH in hippocampal neurons. DISC1 loss-of-function resulted in a marked decrease in SV exocytic rates during neuronal stimulation and was associated with reduced Ca(2+) transients at nerve terminals. Impaired SV release was efficiently rescued by elevation of extracellular Ca(2+), hinting at a link between DISC1 and voltage-gated Ca(2+) channels. Accordingly, blockade of N-type Cav2.2 channels mimics and occludes the effect of DISC1 inactivation on SV exocytosis, and overexpression of DISC1 in a heterologous system increases Cav2.2 currents. Collectively, these results show that DISC1-dependent enhancement of SV exocytosis is mediated by Cav2.2 and point to aberrant glutamate release as a probable endophenotype of major psychiatric disorders.
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Affiliation(s)
- Willcyn Tang
- DUKE-NUS Medical School, Program in Neuroscience and Behavioral Disorders Singapore, Singapore
| | | | - Qingshu Lin
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore Singapore, Singapore
| | - Kim Buay Lim
- DUKE-NUS Medical School, Program in Neuroscience and Behavioral Disorders Singapore, Singapore
| | - Keisuke Kuroda
- Department of Cell Pharmacology, Nagoya University Graduate School of Medicine Nagoya, Japan
| | - Kozo Kaibuchi
- Department of Cell Pharmacology, Nagoya University Graduate School of Medicine Nagoya, Japan
| | - Marcel Bilger
- DUKE-NUS Medical School, Program in Health Services and Systems Research Singapore, Singapore
| | - Tuck Wah Soong
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore Singapore, Singapore
| | - Marc Fivaz
- DUKE-NUS Medical School, Program in Neuroscience and Behavioral DisordersSingapore, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of SingaporeSingapore, Singapore
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Rolstad S, Sellgren Majkowitz C, Joas E, Ekman CJ, Pålsson E, Landén M. Polymorphisms of BDNF and CACNA1C are not associated with cognitive functioning in bipolar disorder or healthy controls. Cogn Neuropsychiatry 2016; 21:271-8. [PMID: 27221213 DOI: 10.1080/13546805.2016.1185405] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION The cause of cognitive dysfunction in bipolar disorder (BD) is not well understood. BDNF and CACNA1C are two susceptibility genes for the disorder that have also been reported to be associated with cognitive deficits in the disorder, but the studies have been small and with conflicting results. We therefore attempted to replicate an association between cognitive dysfunction with the most commonly studied single nucleotide polymorphisms rs6265 and rs1006737. METHODS Regression models with five aggregated cognitive domains derived from a comprehensive test battery and IQ score were run using directly genotyped risk variants of SNPs rs6265 and rs1006737 as predictors with covariates as appropriate. Models were performed in a clinical sample of Swedish patients with BD (N = 114) and sex- and age-matched population controls (N = 104). RESULTS No significant associations (regardless of correction for multiple testing) between the BDNF and CACNA1C risk variants and cognitive functioning were found in either patients or controls. CONCLUSIONS Our results do not support that the common genetic risk variants in rs6265 and rs1006737 are associated with cognitive dysfunction.
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Affiliation(s)
- Sindre Rolstad
- a Institute of Neuroscience and Physiology , The Sahlgrenska Academy at the Gothenburg University , Gothenburg , Sweden
| | - Carl Sellgren Majkowitz
- b Department of Medical Epidemiology and Biostatistics , Karolinska Institutet , Stockholm , Sweden
| | - Erik Joas
- a Institute of Neuroscience and Physiology , The Sahlgrenska Academy at the Gothenburg University , Gothenburg , Sweden
| | - Carl Johan Ekman
- c Department of Clinical Neuroscience , Karolinska Institutet , Stockholm , Sweden
| | - Erik Pålsson
- a Institute of Neuroscience and Physiology , The Sahlgrenska Academy at the Gothenburg University , Gothenburg , Sweden
| | - Mikael Landén
- a Institute of Neuroscience and Physiology , The Sahlgrenska Academy at the Gothenburg University , Gothenburg , Sweden.,b Department of Medical Epidemiology and Biostatistics , Karolinska Institutet , Stockholm , Sweden.,c Department of Clinical Neuroscience , Karolinska Institutet , Stockholm , Sweden
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78
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O'Tuathaigh CMP, Desbonnet L, Moran PM, Kirby BP, Waddington JL. Molecular genetic models related to schizophrenia and psychotic illness: heuristics and challenges. Curr Top Behav Neurosci 2016; 7:87-119. [PMID: 21298380 DOI: 10.1007/7854_2010_111] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Schizophrenia is a heritable disorder that may involve several common genes of small effect and/or rare copy number variation, with phenotypic heterogeneity across patients. Furthermore, any boundaries vis-à-vis other psychotic disorders are far from clear. Consequently, identification of informative animal models for this disorder, which typically relate to pharmacological and putative pathophysiological processes of uncertain validity, faces considerable challenges. In juxtaposition, the majority of mutant models for schizophrenia relate to the functional roles of a diverse set of genes associated with risk for the disorder or with such putative pathophysiological processes. This chapter seeks to outline the evidence from phenotypic studies in mutant models related to schizophrenia. These have commonly assessed the degree to which mutation of a schizophrenia-related gene is associated with the expression of several aspects of the schizophrenia phenotype or more circumscribed, schizophrenia-related endophenotypes; typically, they place specific emphasis on positive and negative symptoms and cognitive deficits, and extend to structural and other pathological features. We first consider the primary technological approaches to the generation of such mutants, to include their relative merits and demerits, and then highlight the diverse phenotypic approaches that have been developed for their assessment. The chapter then considers the application of mutant phenotypes to study pathobiological and pharmacological mechanisms thought to be relevant for schizophrenia, particularly in terms of dopaminergic and glutamatergic dysfunction, and to an increasing range of candidate susceptibility genes and copy number variants. Finally, we discuss several pertinent issues and challenges within the field which relate to both phenotypic evaluation and a growing appreciation of the functional genomics of schizophrenia and the involvement of gene × environment interactions.
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Affiliation(s)
- Colm M P O'Tuathaigh
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephen's Green, Dublin 2, Ireland,
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Stachowiak MK, Stachowiak EK. Evidence-Based Theory for Integrated Genome Regulation of Ontogeny--An Unprecedented Role of Nuclear FGFR1 Signaling. J Cell Physiol 2016; 231:1199-218. [PMID: 26729628 PMCID: PMC5067692 DOI: 10.1002/jcp.25298] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 01/04/2016] [Indexed: 01/18/2023]
Abstract
Genetic experiments have positioned the fgfr1 gene at the top of the gene hierarchy that governs gastrulation, as well as the subsequent development of the major body axes, nervous system, muscles, and bones, by affecting downstream genes that control the cell cycle, pluripotency, and differentiation, as well as microRNAs. Studies show that this regulation is executed by a single protein, the nuclear isoform of FGFR1 (nFGFR1), which integrates signals from development‐initiating factors, such as retinoic acid (RA), and operates at the interface of genomic and epigenomic information. nFGFR1 cooperates with a multitude of transcriptional factors (TFs), and targets thousands of genes encoding for mRNAs, as well as miRNAs in top ontogenic networks. nFGFR1 binds to the promoters of ancient proto‐oncogenes and tumor suppressor genes, in addition to binding to metazoan morphogens that delineate body axes, and construct the nervous system, as well as mesodermal and endodermal tissues. The discovery of pan‐ontogenic gene programming by integrative nuclear FGFR1 signaling (INFS) impacts our understanding of ontogeny, as well as developmental pathologies, and holds new promise for reconstructive medicine, and cancer therapy. J. Cell. Physiol. 231: 1199–1218, 2016. © 2016 The Authors. Journal of Cellular Physiology published by Wiley Periodicals, Inc.
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Affiliation(s)
- Michal K Stachowiak
- Department of Pathology and Anatomical Sciences, Western New York Stem Cells Culture and Analysis Center, State University of New York, Buffalo, New York
| | - Ewa K Stachowiak
- Department of Pathology and Anatomical Sciences, Western New York Stem Cells Culture and Analysis Center, State University of New York, Buffalo, New York
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80
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Heilbronner U, Malzahn D, Strohmaier J, Maier S, Frank J, Treutlein J, Mühleisen TW, Forstner AJ, Witt SH, Cichon S, Falkai P, Nöthen MM, Rietschel M, Schulze TG. A common risk variant in CACNA1C supports a sex-dependent effect on longitudinal functioning and functional recovery from episodes of schizophrenia-spectrum but not bipolar disorder. Eur Neuropsychopharmacol 2015; 25:2262-70. [PMID: 26475575 DOI: 10.1016/j.euroneuro.2015.09.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 08/26/2015] [Accepted: 09/24/2015] [Indexed: 12/13/2022]
Abstract
Sex is a powerful modulator of disease susceptibility, course and outcome. The gene CACNA1C is among the best replicated vulnerability genes of bipolar disorder and schizophrenia. The aim of the present study was to investigate whether sex and a variant in CACNA1C (rs10774035 as a proxy for the well-acknowledged risk variant rs1006737) influence psychosocial adaptation in a large German patient sample with schizophrenia-spectrum (n=297) and bipolar (n=516) disorders. We analyzed Global Assessment of Functioning (GAF) scores, retrospectively collected for different time points during disease course. We investigated whether CACNA1C sex-dependently modulates longitudinal GAF scores and recovery from episodes of psychiatric disturbance in the above mentioned disorders. Psychosocial recovery was measured as difference score between the current GAF score (assessing the last remission) and the worst GAF score ever during an illness episode. Covariate- adjusted association analyses revealed a sex × rs10774035 genotype interaction on longitudinal GAF and recovery from illness episodes only in schizophrenia-spectrum but not in bipolar disorders. In schizophrenia-spectrum affected males, rs10774035 minor allele (T) carriers had higher GAF scores at three time points (premorbid, worst ever, current). In contrast, females carrying rs10774035 minor alleles had impaired recovery from schizophrenia-spectrum episodes. These results encourage further investigations of gene × sex interactions and longitudinal quantitative phenotypes to unravel the rich variety of behavioral consequences of genetic individuality.
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Affiliation(s)
- Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics, Ludwig-Maximilians-University Munich, Germany.
| | - Dörthe Malzahn
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Sandra Maier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich (FZJ), Jülich, Germany; Institute of Human Genetics, University of Bonn, Germany; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Germany; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, Germany; Division of Medical Genetics, University Hospital Basel, University of Basel, Switzerland; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Germany; Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, Ludwig-Maximilians-University Munich, Germany; Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany; Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Göttingen, Germany
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81
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Rolstad S, Pålsson E, Ekman CJ, Eriksson E, Sellgren C, Landén M. Polymorphisms of dopamine pathway genes NRG1 and LMX1A are associated with cognitive performance in bipolar disorder. Bipolar Disord 2015; 17:859-68. [PMID: 26534905 DOI: 10.1111/bdi.12347] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 09/19/2015] [Indexed: 01/11/2023]
Abstract
OBJECTIVES LIM homeobox transcription factor 1, alpha (LMX1A) and neuregulin 1 (NRG1) are susceptibility genes for schizophrenia that have been implicated in the dopaminergic pathway and have been associated with altered cognitive functioning. We hypothesized that single nucleotide polymorphisms (SNPs) in LMX1A and NRG1 would be associated with cognitive functioning in bipolar disorder. METHODS In total, four SNPs were directly genotyped. Regression models with five aggregated cognitive domains and intelligence quotient (IQ) score were run using risk variants of LMX1A (rs11809911, rs4657412, rs6668493) and NRG1 (rs35753505) as predictors. Models were performed in a clinical sample of patients with bipolar disorder (n = 114) and healthy controls (n = 104). RESULTS The risk variants of the rs11809911 SNP in LMX1A were negatively associated with IQ score and memory/learning, whereas the risk variants of rs35753505 in NRG1 were positively associated with IQ score (adjusted R(2) = 0.17, Q = 0.006) and memory/learning (adjusted R(2) = 0.24, Q = 0.001). The risk variants of the rs35753505 SNP in NRG1 were positively associated with language (adjusted R(2) = 0.11, Q = 0.006), visuospatial functions (adjusted R(2) = 0.23, Q = 0.001), and attention/speed (adjusted R(2) = 0.25, Q = 0.001). Results could not be replicated in controls. CONCLUSIONS The risk variants of the rs35753505 SNP were associated with increased performance in several cognitive domains and IQ, whereas the risk variants of the rs11809911 SNP in LMX1A was associated with reduced IQ and memory/learning.
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Affiliation(s)
- Sindre Rolstad
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Erik Pålsson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carl Johan Ekman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elias Eriksson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carl Sellgren
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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82
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Ivanov DK, Escott-Price V, Ziehm M, Magwire MM, Mackay TFC, Partridge L, Thornton JM. Longevity GWAS Using the Drosophila Genetic Reference Panel. J Gerontol A Biol Sci Med Sci 2015; 70:1470-8. [PMID: 25922346 PMCID: PMC4631106 DOI: 10.1093/gerona/glv047] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 03/26/2015] [Indexed: 01/09/2023] Open
Abstract
We used 197 Drosophila melanogaster Genetic Reference Panel (DGRP) lines to perform a genome-wide association analysis for virgin female lifespan, using ~2M common single nucleotide polymorphisms (SNPs). We found considerable genetic variation in lifespan in the DGRP, with a broad-sense heritability of 0.413. There was little power to detect signals at a genome-wide level in single-SNP and gene-based analyses. Polygenic score analysis revealed that a small proportion of the variation in lifespan (~4.7%) was explicable in terms of additive effects of common SNPs (≥2% minor allele frequency). However, several of the top associated genes are involved in the processes previously shown to impact ageing (eg, carbohydrate-related metabolism, regulation of cell death, proteolysis). Other top-ranked genes are of unknown function and provide promising candidates for experimental examination. Genes in the target of rapamycin pathway (TOR; Chrb, slif, mipp2, dredd, RpS9, dm) contributed to the significant enrichment of this pathway among the top-ranked 100 genes (p = 4.79×10(-06)). Gene Ontology analysis suggested that genes involved in carbohydrate metabolism are important for lifespan; including the InterPro term DUF227, which has been previously associated with lifespan determination. This analysis suggests that our understanding of the genetic basis of natural variation in lifespan from induced mutations is incomplete.
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Affiliation(s)
- Dobril K Ivanov
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
| | - Valentina Escott-Price
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
| | - Matthias Ziehm
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. Department of Genetics Evolution and Environment, The Institute of Healthy Ageing, University College London, UK
| | - Michael M Magwire
- Department of Biological Sciences, Program in Genetics and W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh. Syngenta, Research Triangle Park, North Carolina
| | - Trudy F C Mackay
- Department of Biological Sciences, Program in Genetics and W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh
| | - Linda Partridge
- Department of Genetics Evolution and Environment, The Institute of Healthy Ageing, University College London, UK. Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Janet M Thornton
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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83
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Sanchez-Gistau V, Romero S, Moreno D, de la Serna E, Baeza I, Sugranyes G, Moreno C, Sanchez-Gutierrez T, Rodriguez-Toscano E, Castro-Fornieles J. Psychiatric disorders in child and adolescent offspring of patients with schizophrenia and bipolar disorder: A controlled study. Schizophr Res 2015; 168:197-203. [PMID: 26363969 DOI: 10.1016/j.schres.2015.08.034] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 08/24/2015] [Accepted: 08/25/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND Early clinical manifestations predating schizophrenia (SZ) and bipolar disorder (BP) have not been fully characterized. Child offspring studies are a valuable opportunity to study the natural history of the illness from its earliest stages. However, there is limited evidence assessing young offspring of SZ and BP simultaneously. We set out to assess rates of psychiatric disorders in child and adolescent offspring of SZ and BP, relative to offspring of community controls, so as to characterize the early phenotype of the disorders comparatively. METHODS SZ and BP parents with offspring aged 7-17years were recruited through adult mental health services of two tertiary hospitals. Community control (CC) parents were recruited from the same geographical area. Ninety BP-offspring, 41 SZ-offspring and 107 CC-offspring were assessed using the K-SADS-PL by child psychiatrists blinded to parental status. Differences in prevalence of psychiatric disorders between groups were adjusted for confounders and for sibling correlation using generalised estimating equations. RESULTS We found a gradient of clinical severity and social disadvantage between SZ, BP and CC-offspring. After adjusting for socio-demographic confounders, SZ and BP-offspring presented higher rates of attention deficit hyperactivity disorder (ADHD) than CC-offspring. ADHD was more prevalent in SZ-offspring than BP-offspring, and BP-offspring presented a higher prevalence of depression than CC-offspring. CONCLUSIONS The higher rates of ADHD in SZ-offspring suggest that abnormal neurodevelopmental processes may exert a stronger influence in SZ than BP. Follow-up of these children will help elucidate the role of ADHD and depression phenotypes in predicting future transition to SZ or BP.
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Affiliation(s)
- Vanessa Sanchez-Gistau
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain.
| | - Soledad Romero
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain
| | - Dolores Moreno
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Gisela Sugranyes
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Carmen Moreno
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Teresa Sanchez-Gutierrez
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Elisa Rodriguez-Toscano
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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84
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Ginns EI, Galdzicka M, Elston RC, Song YE, Paul SM, Egeland JA. Disruption of sonic hedgehog signaling in Ellis-van Creveld dwarfism confers protection against bipolar affective disorder. Mol Psychiatry 2015; 20:1212-8. [PMID: 25311364 DOI: 10.1038/mp.2014.118] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Revised: 08/06/2014] [Accepted: 08/21/2014] [Indexed: 01/30/2023]
Abstract
Ellis-van Creveld syndrome, an autosomal recessively inherited chondrodysplastic dwarfism, is frequent among Old Order Amish of Pennsylvania. Decades of longitudinal research on bipolar affective disorder (BPAD) revealed cosegregation of high numbers of EvC and Bipolar I (BPI) cases in several large Amish families descending from the same pioneer. Despite the high prevalence of both disorders in these families, no EvC individual has ever been reported with BPI. The proximity of the EVC gene to our previously reported chromosome 4p16 BPAD locus with protective alleles, coupled with detailed clinical observations that EvC and BPI do not occur in the same individuals, led us to hypothesize that the genetic defect causing EvC in the Amish confers protection from BPI. This hypothesis is supported by a significant negative association of these two disorders when contrasted with absence of disease (P=0.029, Fisher's exact test, two-sided, verified by permutation to estimate the null distribution of the test statistic). As homozygous Amish EVC mutations causing EvC dwarfism do so by disrupting sonic hedgehog (Shh) signaling, our data implicate Shh signaling in the underlying pathophysiology of BPAD. Understanding how disrupted Shh signaling protects against BPI could uncover variants in the Shh pathway that cause or increase risk for this and related mood disorders.
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Affiliation(s)
- E I Ginns
- Departments of Clinical Labs, Neurology, Pediatrics, Pathology and Psychiatry, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA
| | - M Galdzicka
- Departments of Clinical Labs and Pathology, University of Massachusetts Medical School/UMass Memorial Medical Center, Worcester, MA, USA
| | - R C Elston
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Y E Song
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - S M Paul
- Departments of Neuroscience, Psychiatry and Pharmacology, Weill Cornell Medical College of Cornell University, New York, NY, USA
| | - J A Egeland
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
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85
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Meta-analysis of data from the Psychiatric Genomics Consortium and additional samples supports association of CACNA1C with risk for schizophrenia. Schizophr Res 2015; 168:429-33. [PMID: 26276307 DOI: 10.1016/j.schres.2015.07.033] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 07/10/2015] [Accepted: 07/18/2015] [Indexed: 12/18/2022]
Abstract
Recently, numerous genome-wide association studies (GWASs) have identified numerous risk loci for schizophrenia, but follow-up studies are still essential to confirm those results. Therefore, we followed up on top GWAS hits by genotyping implicated loci in additional schizophrenia family samples from our own collection. Five-hundred thirty-six Asian families (comprising 1633 members including 698 schizophrenics) were genotyped in this study. We analyzed 12 single nucleotide polymorphisms (SNPs) in strongly implicated candidate genes revealed by GWASs and their follow-up studies. We then used meta-analysis to combine our results with those of the Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC). In our newly genotyped samples, there were no significant associations of any of the 12 candidate SNPs with schizophrenia; however, all genome-wide significant results from the schizophrenia PGC analysis were maintained after combination with our new data by meta-analysis. One SNP (rs4765905 in CACNA1C) showed a stronger effect and decreased p-value (5.14e-17) after meta-analysis relative to the original PGC results, with no significant between-study heterogeneity. The findings of this study support the significant results in the PGC, especially for CACNA1C. The sample size in our study was considerably smaller than that in the PGC-SCZ study; thus, the weights carried by our samples in the meta-analysis were small. Therefore, our data could not vastly reduce PGC association signals. However, we considered that the well replicated results from the PGC hold up in our new samples, and may suggest that the top hits from the PGC are generalizable, even to other ancestral groups.
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86
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Jiang H, Qiao F, Li Z, Zhang Y, Cheng Y, Xu X, Yu L. Evaluating the association between CACNA1C rs1006737 and schizophrenia risk: A meta-analysis. Asia Pac Psychiatry 2015; 7:260-7. [PMID: 25588813 DOI: 10.1111/appy.12173] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 11/25/2014] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Genetic analyses including genome-wide association studies have reported an intronic single nucleotide polymorphism (SNP) rs1006737 in CACNA1C gene (encoded calcium channel, voltage-dependent, L type, alpha 1C subunit) as a risk factor for schizophrenia in European populations. The replications in other ethnic populations such as East Asians have also been conducted, but the results were inconsistent, either likely due to the limited sample size of single study or genetic heterogeneity between continental populations on this locus. METHODS We performed a comprehensive meta-analysis of all available samples from existing studies of East Asian populations, including a total of 9,432 cases and 10,661 controls, to further confirm whether CACNA1C rs1006737 is an authentic risk SNP for schizophrenia in East Asian populations. RESULTS Our results revealed a significant association between rs1006737 and schizophrenia (allelic model, P = 4.39 × 10(-6) , pooled odds ratio [OR] = 1.20), and the results were much strengthened when the European and East Asian samples were combined together (P = 2.40 × 10(-17) , pooled OR = 1.12). There is no significant heterogeneity or publication bias between individual studies, and removal of any single study still remained significant associations between rs1006737 and schizophrenia. DISCUSSION Our results further confirmed that rs1006737 should be categorized as an authentic risk SNP for schizophrenia in the general populations.
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Affiliation(s)
- Hongyan Jiang
- Laboratory for Conservation and Utilization of Bio-resource, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, China.,Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Fei Qiao
- Department of Anesthesiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Zongfang Li
- Department of Radiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yaping Zhang
- Laboratory for Conservation and Utilization of Bio-resource, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, China.,State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yuqi Cheng
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xiufeng Xu
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Li Yu
- Laboratory for Conservation and Utilization of Bio-resource, Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, Yunnan, China
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87
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Schizophrenia and bipolar disorder: The road from similarities and clinical heterogeneity to neurobiological types. Clin Chim Acta 2015; 449:49-59. [DOI: 10.1016/j.cca.2015.02.029] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Accepted: 02/13/2015] [Indexed: 01/06/2023]
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88
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Laurens KR, Luo L, Matheson SL, Carr VJ, Raudino A, Harris F, Green MJ. Common or distinct pathways to psychosis? A systematic review of evidence from prospective studies for developmental risk factors and antecedents of the schizophrenia spectrum disorders and affective psychoses. BMC Psychiatry 2015; 15:205. [PMID: 26302744 PMCID: PMC4548447 DOI: 10.1186/s12888-015-0562-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 07/14/2015] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Identifying the unique and shared premorbid indicators of risk for the schizophrenia spectrum disorders (SSD) and affective psychoses (AP) may refine aetiological hypotheses and inform the delivery of universal versus targeted preventive interventions. This systematic review synthesises the available evidence concerning developmental risk factors and antecedents of SSD and AP to identify those with the most robust support, and to highlight remaining evidence gaps. METHODS A systematic search of prospective birth, population, high-risk, and case-control cohorts was conducted in Medline and supplemented by hand searching, incorporating published studies in English with full text available. Inclusion/exclusion decisions and data extraction were completed in duplicate. Exposures included three categories of risk factors and four categories of antecedents, with case and comparison groups defined by adult psychiatric diagnosis. Effect sizes and prevalence rates were extracted, where available, and the strength of evidence synthesised and evaluated qualitatively across the study designs. RESULTS Of 1775 studies identified by the search, 127 provided data to the review. Individuals who develop SSD experience a diversity of subtle premorbid developmental deficits and risk exposures, spanning the prenatal period through early adolescence. Those of greatest magnitude (or observed most consistently) included obstetric complications, maternal illness during pregnancy (especially infections), other maternal physical factors, negative family emotional environment, psychopathology and psychotic symptoms, and cognitive and motor dysfunctions. Relatively less evidence has accumulated to implicate this diversity of exposures in AP, and many yet remain unexamined, with the most consistent or strongest evidence to date being for obstetric complications, psychopathology, cognitive indicators and motor dysfunction. Among the few investigations affording direct comparison between SSD and AP, larger effect sizes and a greater number of significant associations are commonly reported for SSD relative to AP. CONCLUSIONS Shared risk factors for SSD and AP may include obstetric complications, childhood psychopathology, cognitive markers and motor dysfunction, but the capacity to distinguish common versus distinct risk factors/antecedents for SSD and AP is limited by the scant availability of prospective data for AP, and inconsistency in replication. Further studies considering both diagnoses concurrently are needed. Nonetheless, the prevalence of the risk factors/antecedents observed in cases and controls helps demarcate potential targets for preventative interventions for these disorders.
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Affiliation(s)
- Kristin R. Laurens
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia ,Schizophrenia Research Institute, Sydney, Australia ,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,Black Dog Institute, Prince of Wales Hospital, Sydney, Australia
| | - Luming Luo
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia. .,Schizophrenia Research Institute, Sydney, Australia.
| | - Sandra L. Matheson
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia ,Schizophrenia Research Institute, Sydney, Australia
| | - Vaughan J. Carr
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia ,Schizophrenia Research Institute, Sydney, Australia ,Department of Psychiatry, Monash University, Melbourne, Australia
| | - Alessandra Raudino
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia. .,Schizophrenia Research Institute, Sydney, Australia.
| | - Felicity Harris
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia. .,Schizophrenia Research Institute, Sydney, Australia.
| | - Melissa J. Green
- Research Unit for Schizophrenia Epidemiology, School of Psychiatry, University of New South Wales, Sydney, Australia ,Schizophrenia Research Institute, Sydney, Australia ,Black Dog Institute, Prince of Wales Hospital, Sydney, Australia ,Neuroscience Research Australia, Sydney, Australia
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89
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Evaluation of genetic susceptibility of common variants in CACNA1D with schizophrenia in Han Chinese. Sci Rep 2015; 5:12935. [PMID: 26255836 PMCID: PMC4530443 DOI: 10.1038/srep12935] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Accepted: 07/10/2015] [Indexed: 11/23/2022] Open
Abstract
The heritability of schizophrenia (SCZ) has been estimated to be as high as 80%, suggesting that genetic factors may play an important role in the etiology of SCZ. Cav1.2 encoded by CACNA1C and Cav1.3 encoded by CACNA1D are dominant calcium channel-forming subunits of L-type Voltage-dependent Ca2+ channels, expressed in many types of neurons. The CACNA1C has been consistently found to be a risk gene for SCZ, but it is unknown for CACNA1D. To investigate the association of CACNA1D with SCZ, we designed a two-stage case-control study, including a testing set with 1117 cases and 1815 controls and a validation set with 1430 cases and 4295 controls in Han Chinese. A total of selected 97 tag single nucleotide polymorphisms (SNPs) in CACNA1D were genotyped, and single-SNP association, imputation analysis and gender-specific association analyses were performed in the two independent datasets. None was found to associate with SCZ. Further genotype and haplotype association analyses indicated a similar pattern in the two-stage study. Our findings suggested CACNA1D might not be a risk gene for SCZ in Han Chinese population, which add to the current state of knowledge regarding the susceptibility of CACNA1D to SCZ.
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90
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Sugranyes G, de la Serna E, Romero S, Sanchez-Gistau V, Calvo A, Moreno D, Baeza I, Diaz-Caneja CM, Sanchez-Gutierrez T, Janssen J, Bargallo N, Castro-Fornieles J. Gray Matter Volume Decrease Distinguishes Schizophrenia From Bipolar Offspring During Childhood and Adolescence. J Am Acad Child Adolesc Psychiatry 2015. [PMID: 26210337 DOI: 10.1016/j.jaac.2015.05.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE There is increasing support toward the notion that schizophrenia and bipolar disorder share neurodevelopmental underpinnings, although areas of divergence remain. We set out to examine gray matter volume characteristics of child and adolescent offspring of patients with schizophrenia or bipolar disorder comparatively. METHOD In this 2-center study, magnetic resonance structural neuroimaging data were acquired in 198 children and adolescents (aged 6-17 years): 38 offspring of patients with schizophrenia, 77 offspring of patients with bipolar disorder, and 83 offspring of community controls. Analyses of global brain volumes and voxel-based morphometry (using familywise error correction) were conducted. RESULTS There was an effect of group on total cerebral gray matter volume (F = 3.26, p = .041), driven by a decrease in offspring of patients with schizophrenia relative to offspring of controls (p = .035). At a voxel-based level, we observed an effect of group in the left inferior frontal cortex/anterior insula (F = 14.7, p < .001), which was driven by gray matter volume reduction in offspring of patients with schizophrenia relative to both offspring of controls (p = .044) and of patients with bipolar disorder (p < .001). No differences were observed between offspring of patients with bipolar disorder and offspring of controls in either global or voxel-based gray matter volumes. CONCLUSION This first comparative study between offspring of patients with schizophrenia and bipolar disorder suggests that gray matter volume reduction in childhood and adolescence may be specific to offspring of patients with schizophrenia; this may index a greater neurodevelopmental impact of risk for schizophrenia relative to bipolar disorder during youth.
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Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain, and Institute of Neuroscience, Hospital Clínic of Barcelona.
| | - Elena de la Serna
- Institute of Neuroscience, Hospital Clínic of Barcelona, and Biomedical Research Network Centre in Mental Health (CIBERSAM), Madrid
| | - Soledad Romero
- Institute of Neuroscience, Hospital Clínic of Barcelona, and Biomedical Research Network Centre in Mental Health (CIBERSAM), Madrid
| | | | - Anna Calvo
- IDIBAPS and Biomedical Research Network Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Grupo de Imagen Biomédica de la Universidad de Barcelona (GIB-UB)
| | - Dolores Moreno
- CIBERSAM and Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Inmaculada Baeza
- IDIBAPS, Institute of Neuroscience, Hospital Clínic of Barcelona, and CIBERSAM
| | - Covadonga M Diaz-Caneja
- Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Teresa Sanchez-Gutierrez
- Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Joost Janssen
- CIBERSAM and Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Nuria Bargallo
- IDIBAPS, CIBERSAM, and Image Diagnosis Center, Hospital Clinic of Barcelona
| | - Josefina Castro-Fornieles
- IDIBAPS, Institute of Neuroscience, Hospital Clínic of Barcelona, and CIBERSAM; University of Barcelona
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91
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Chang S, Fang K, Zhang K, Wang J. Network-Based Analysis of Schizophrenia Genome-Wide Association Data to Detect the Joint Functional Association Signals. PLoS One 2015; 10:e0133404. [PMID: 26193471 PMCID: PMC4508050 DOI: 10.1371/journal.pone.0133404] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 06/26/2015] [Indexed: 12/31/2022] Open
Abstract
Schizophrenia is a common psychiatric disorder with high heritability and complex genetic architecture. Genome-wide association studies (GWAS) have identified several significant loci associated with schizophrenia. However, the explained heritability is still low. Growing evidence has shown schizophrenia is attributable to multiple genes with moderate effects. In-depth mining and integration of GWAS data is urgently expected to uncover disease-related gene combination patterns. Network-based analysis is a promising strategy to better interpret GWAS to identify disease-related network modules. We performed a network-based analysis on three independent schizophrenia GWASs by using a refined analysis framework, which included a more accurate gene P-value calculation, dynamic network module searching algorithm and detailed functional analysis for the obtained modules genes. The result generated 79 modules including 238 genes, which form a highly connected subnetwork with more statistical significance than expected by chance. The result validated several reported disease genes, such as MAD1L1, MCC, SDCCAG8, VAT1L, MAPK14, MYH9 and FXYD6, and also obtained several novel candidate genes and gene-gene interactions. Pathway enrichment analysis of the module genes suggested they were enriched in several neural and immune system related pathways/GO terms, such as neurotrophin signaling pathway, synaptosome, regulation of protein ubiquitination, and antigen processing and presentation. Further crosstalk analysis revealed these pathways/GO terms were cooperated with each other, and identified several important genes, which might play vital roles to connect these functions. Our network-based analysis of schizophrenia GWASs will facilitate the understanding of genetic mechanisms of schizophrenia.
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Affiliation(s)
- Suhua Chang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Kechi Fang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Kunlin Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jing Wang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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92
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Sanchez-Gistau V, Baeza I, Arango C, González-Pinto A, de la Serna E, Parellada M, Graell M, Paya B, Llorente C, Castro-Fornieles J. The affective dimension of early-onset psychosis and its relationship with suicide. J Child Psychol Psychiatry 2015; 56:747-755. [PMID: 25256792 DOI: 10.1111/jcpp.12332] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/01/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND The affective dimension has scarcely been studied in early-onset psychosis. Our aims were to investigate the prevalence and type of affective symptoms in the prodromal and acute phases of early-onset psychosis and to examine their relationship with suicide. We also sought to establish whether the presence of premorbid antecedents or the presence of affective symptoms during the prodromal and acute phase might predict a later diagnosis of bipolar disorder (BP) or schizophrenia (SZ). METHOD Participants were 95 youths, aged 9-17 years, experiencing a first episode of a psychotic disorder (FEP) according to DSM-IV criteria. Prodromal affective symptoms in the year prior to the onset of full-blown psychosis were assessed by means of the K-SADS. Affective symptoms during the acute episode were evaluated using the Hamilton Depression Rating Scale and the Young Mania Rating Scale. Suicidality was assessed during the acute episode and at 6 and 12 months. RESULTS Half of the patients experienced affective symptoms during the prodrome, with depressive symptoms being the most frequently reported. During the acute episode, 23.2% presented depressive, 41.4% mixed and 18.9% manic symptoms. After logistic regression analysis, only the presence of depressive symptoms was significantly associated with suicidality during the 12 months following the FEP. Neither early premorbid antecedents nor the prevalence or type of affective symptoms during the FEP predicted a diagnosis of BP or SZ at 12 months. However, both depressive and manic prodromal symptoms were associated with a later diagnosis of BP. CONCLUSIONS The FEP of both SZ and BP is preceded by an identifiable prodromal phase. Early detection programs should target young people at clinical risk for the extended psychosis phenotype. The high prevalence of affective symptoms during the early phases of psychosis may encourage clinicians to identify and treat them in order to prevent suicide behaviour.
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Affiliation(s)
- Vanessa Sanchez-Gistau
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Celso Arango
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Hospital Santiago Apóstol, EHU/University of the Basque Country, Vitoria, Spain
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Montserrat Graell
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - Beatriz Paya
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Cloe Llorente
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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93
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The Use of Cannabis as a Predictor of Early Onset of Bipolar Disorder and Suicide Attempts. Neural Plast 2015; 2015:434127. [PMID: 26097750 PMCID: PMC4444580 DOI: 10.1155/2015/434127] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 12/22/2014] [Accepted: 01/07/2015] [Indexed: 12/22/2022] Open
Abstract
Introduction. Bipolar disorder (BD) implies risk of suicide. The age at onset (AAO) of BD carries prognostic significance. Substance abuse may precede the onset of BD and cannabis is the most common illicit drug used. The main goal of this study is to review the association of cannabis use as a risk factor for early onset of BD and for suicide attempts. Materials and Methods. PubMed database was searched for articles using key words “bipolar disorder,” “suicide attempts,” “cannabis,” “marijuana,” “early age at onset,” and “early onset.” Results. The following percentages in bipolar patients were found: suicide attempts 3.6–42%; suicide attempts and substance use 5–60%; suicide attempts and cannabis use 15–42%. An early AAO was associated with cannabis misuse. The mean age of the first manic episode in individuals with and without BD and cannabis use disorder (CUD) was 19.5 and 25.1 years, respectively. The first depressive episode was at 18.5 and 24.4 years, respectively. Individuals misusing cannabis showed increased risk of suicide. Discussion. Cannabis use is associated with increased risk of suicide attempts and with early AAO. However, the effect of cannabis at the AAO and suicide attempts is not clear.
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94
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Cognitive control of gaze in bipolar disorder and schizophrenia. Psychiatry Res 2015; 225:254-62. [PMID: 25601802 PMCID: PMC4361560 DOI: 10.1016/j.psychres.2014.12.033] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Revised: 11/12/2014] [Accepted: 12/22/2014] [Indexed: 01/30/2023]
Abstract
The objective of the present study was to compare two components of executive functioning, response monitoring and inhibition, in bipolar disorder (BP) and schizophrenia (SZ). The saccadic countermanding task is a translational paradigm optimized for detecting subtle abnormalities in response monitoring and response inhibition. We have previously reported countermanding performance abnormalities in SZ, but the degree to which these impairments are shared by other psychotic disorders is unknown. 18 BP, 17 SZ, and 16 demographically matched healthy controls (HC) participated in a saccadic countermanding task. Performance on the countermanding task is approximated as a race between movement generation and inhibition processes; this model provides an estimate of the time needed to cancel a planned movement. Response monitoring was assessed by the reaction time (RT) adjustments based on trial history. Like SZ patients, BP patients needed more time to cancel a planned movement. The two patient groups had equivalent inhibition efficiency. On trial history-based RT adjustments, however, we found a trend towards exaggerated trial history-based slowing in SZ compared to BP. Findings have implications for understanding the neurobiology of cognitive control, for defining the etiological overlap between schizophrenia and bipolar disorder, and for developing pharmacological treatments of cognitive impairments.
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95
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Chen J, Cao F, Liu L, Wang L, Chen X. Genetic studies of schizophrenia: an update. Neurosci Bull 2015; 31:87-98. [PMID: 25652814 DOI: 10.1007/s12264-014-1494-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 12/16/2014] [Indexed: 12/20/2022] Open
Abstract
Schizophrenia (SCZ) is a complex and heterogeneous mental disorder that affects about 1% of global population. In recent years, considerable progress has been made in genetic studies of SCZ. A number of common variants with small effects and rare variants with relatively larger effects have been identified. These variants include risk loci identified by genome-wide association studies, rare copy-number variants identified by comparative genomic analyses, and de novo mutations identified by high-throughput DNA sequencing. Collectively, they contribute to the heterogeneity of the disease. In this review, we update recent discoveries in the field of SCZ genetics, and outline the perspectives of future directions.
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Affiliation(s)
- Jingchun Chen
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA,
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96
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Yoshimizu T, Pan JQ, Mungenast AE, Madison JM, Su S, Ketterman J, Ongur D, McPhie D, Cohen B, Perlis R, Tsai LH. Functional implications of a psychiatric risk variant within CACNA1C in induced human neurons. Mol Psychiatry 2015; 20:162-9. [PMID: 25403839 PMCID: PMC4394050 DOI: 10.1038/mp.2014.143] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Revised: 08/19/2014] [Accepted: 09/10/2014] [Indexed: 12/13/2022]
Abstract
Psychiatric disorders have clear heritable risk. Several large-scale genome-wide association studies have revealed a strong association between susceptibility for psychiatric disorders, including bipolar disease, schizophrenia and major depression, and a haplotype located in an intronic region of the L-type voltage-gated calcium channel (VGCC) subunit gene CACNA1C (peak associated SNP rs1006737), making it one of the most replicable and consistent associations in psychiatric genetics. In the current study, we used induced human neurons to reveal a functional phenotype associated with this psychiatric risk variant. We generated induced human neurons, or iN cells, from more than 20 individuals harboring homozygous risk genotypes, heterozygous or homozygous non-risk genotypes at the rs1006737 locus. Using these iNs, we performed electrophysiology and quantitative PCR experiments that demonstrated increased L-type VGCC current density as well as increased mRNA expression of CACNA1C in iNs homozygous for the risk genotype, compared with non-risk genotypes. These studies demonstrate that the risk genotype at rs1006737 is associated with significant functional alterations in human iNs, and may direct future efforts at developing novel therapeutics for the treatment of psychiatric disease.
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Affiliation(s)
- Takao Yoshimizu
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, 02139
| | - Jen Q. Pan
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142
| | - Alison E. Mungenast
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, 02139
| | - Jon M. Madison
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142
| | - Susan Su
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, 02139
| | - Josh Ketterman
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142
| | - Dost Ongur
- McLean Hospital and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Donna McPhie
- McLean Hospital and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Bruce Cohen
- McLean Hospital and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Roy Perlis
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142
- Bipolar Clinic and Research Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, 02139
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139
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97
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Innate immune response is differentially dysregulated between bipolar disease and schizophrenia. Schizophr Res 2015; 161:215-21. [PMID: 25487697 DOI: 10.1016/j.schres.2014.10.055] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2014] [Revised: 09/22/2014] [Accepted: 10/28/2014] [Indexed: 01/04/2023]
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are severe psychiatric conditions with a neurodevelopmental component. Genetic findings indicate the existence of an overlap in genetic susceptibility across the disorders. Also, image studies provide evidence for a shared neurobiological basis, contributing to a dimensional diagnostic approach. This study aimed to identify the molecular mechanisms that differentiate SZ and BD patients from health controls but also that distinguish both from health individuals. Comparison of gene expression profiling in post-mortem brains of both disorders and health controls (30 cases), followed by a further comparison between 29 BD and 29 SZ revealed 28 differentially expressed genes. These genes were used in co-expression analysesthat revealed the pairs CCR1/SERPINA1, CCR5/HCST, C1QA/CD68, CCR5/S100A11 and SERPINA1/TLR1 as presenting the most significant difference in co-expression between SZ and BD. Next, a protein-protein interaction (PPI) network using the 28 differentially expressed genes as seeds revealed CASP4, TYROBP, CCR1, SERPINA1, CCR5 and C1QA as having a central role in the diseases manifestation. Both co-expression and network topological analyses pointed to genes related to microglia functions. Based on this data, we suggest that differences between SZ and BP are due to genes involved with response to stimulus, defense response, immune system process and response to stress biological processes, all having a role in the communication of environmental factors to the cells and associated to microglia.
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98
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Jacobsen KK, Nievergelt CM, Zayats T, Greenwood TA, Anttila V, Akiskal HS, Haavik J, Fasmer OB, Kelsoe JR, Johansson S, Oedegaard KJ. Genome wide association study identifies variants in NBEA associated with migraine in bipolar disorder. J Affect Disord 2015; 172:453-61. [PMID: 25451450 PMCID: PMC4394021 DOI: 10.1016/j.jad.2014.10.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Revised: 10/02/2014] [Accepted: 10/03/2014] [Indexed: 01/19/2023]
Abstract
BACKGROUND Migraine is a common comorbidity among individuals with bipolar disorder, but the underlying mechanisms for this co-occurrence are poorly understood. The aim of this study was to investigate the genetic background of bipolar patients with and without migraine. METHODS We performed a genome-wide association analysis contrasting 460 bipolar migraneurs with 914 bipolar patients without migraine from the Bipolar Genome Study (BiGS). RESULTS We identified one genome-wide significant association between migraine in bipolar disorder patients and rs1160720, an intronic single nucleotide polymorphism (SNP) in the NBEA gene (P=2.97 × 10(-8), OR: 1.82, 95% CI: 1.47-2.25), although this was not replicated in a smaller sample of 289 migraine cases. LIMITATIONS Our study is based on self-reported migraine. CONCLUSIONS NBEA encodes neurobeachin, a scaffolding protein primarily expressed in the brain and involved in trafficking of vesicles containing neurotransmitter receptors. This locus has not previously been implicated in migraine per se. We found no evidence of association in data from the GWAS migraine meta-analysis consortium (n=118,710 participants) suggesting that the association might be specific to migraine co-morbid with bipolar disorder.
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Affiliation(s)
- Kaya K. Jacobsen
- Department of Biomedicine, University of Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway
| | | | - Tetyana Zayats
- Department of Biomedicine, University of Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway
| | | | - Verneri Anttila
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA,lnstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | | | - Hagop S. Akiskal
- Department of Psychiatry, University of California San Diego, USA,Department of Psychiatry, VA Hospital, San Diego, USA
| | | | - Jan Haavik
- Department of Biomedicine, University of Bergen, Norway,K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Ole Bernt Fasmer
- K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway,Department of Clinical Medicine, Section for Psychiatry, Faculty of Medicine and Dentistry, University of Bergen, Norway
| | - John R. Kelsoe
- Department of Psychiatry, University of California San Diego, USA,Department of Psychiatry, VA Hospital, San Diego, USA
| | - Stefan Johansson
- Department of Biomedicine, University of Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway,K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway,Department of Clinical Science, University of Bergen, Norway
| | - Ketil J. Oedegaard
- K. G. Jebsen Center for Research on Neuropsychiatric Disorders, University of Bergen, Norway,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway,Department of Clinical Medicine, Section for Psychiatry, Faculty of Medicine and Dentistry, University of Bergen, Norway
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99
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Thaler NS, Sutton GP, Allen DN. Social cognition and functional capacity in bipolar disorder and schizophrenia. Psychiatry Res 2014; 220:309-14. [PMID: 25200189 DOI: 10.1016/j.psychres.2014.08.035] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Revised: 08/04/2014] [Accepted: 08/13/2014] [Indexed: 12/20/2022]
Abstract
Social cognition is a functionally relevant predictor of capacity in schizophrenia (SZ), though research concerning its value for bipolar disorder (BD) is limited. The current investigation examined the relationship between two social cognitive factors and functional capacity in bipolar disorder. This study included 48 individuals with bipolar disorder (24 with psychotic features) and 30 patients with schizophrenia. Multiple regression controlling for estimated IQ scores was used to assess the predictive value of social cognitive factors on the UCSD Performance-Based Functional Skills Assessment (UPSA). Results found that for the bipolar with psychosis and schizophrenia groups, the social/emotion processing factor predicted the UPSA. The theory of mind factor only predicted the UPSA for the schizophrenia group.. Findings support the clinical utility of evaluating emotion processing in individuals with a history of psychosis. For BD, theory of mind may be better explained by a generalized cognitive deficit. In contrast, social/emotion processing may be linked to distinct neurobiological processes associated with psychosis.
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Affiliation(s)
- Nicholas S Thaler
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
| | - Griffin P Sutton
- Department of Psychology, University of North Carolina, Wilmington, Wilmington, NC, USA
| | - Daniel N Allen
- Department of Psychology, University of Nevada, Las Vegas, Las Vegas, NV, USA
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100
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Zammit S, Hamshere M, Dwyer S, Georgiva L, Timpson N, Moskvina V, Richards A, Evans DM, Lewis G, Jones P, Owen MJ, O’Donovan MC. A population-based study of genetic variation and psychotic experiences in adolescents. Schizophr Bull 2014; 40:1254-62. [PMID: 24174267 PMCID: PMC4193688 DOI: 10.1093/schbul/sbt146] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Psychotic experiences are not uncommon in general population samples, but no studies have examined to what extent confirmed risk variants for schizophrenia are associated with such experiences. A total of 3483 children in a birth cohort study participated in semistructured interviews for psychotic experiences at ages 12 and 18. We examined whether (1) a composite measure of risk for schizophrenia conferred by common alleles (polygenic score) was associated with psychotic experiences, (2) variants with genome-wide evidence for association with schizophrenia were associated with psychotic experiences, and (3) we could identify genetic variants for psychotic experiences using a genome-wide association (GWA) approach. We found no evidence that a schizophrenia polygenic score, or variants showing genome-wide evidence of association with schizophrenia, were associated with adolescent psychotic experiences within the general population. In fact, individuals who had a higher number of risk alleles for genome-wide hits for schizophrenia showed a decreased risk of psychotic experiences. In the GWA study, no variants showed GWA for psychotic experiences, and there was no evidence that the strongest hits (P < 5 × 10(-5)) were enriched for variants associated with schizophrenia in large consortia. Although polygenic scores are weak tools for prediction of schizophrenia, they show strong evidence of association with this disorder. Our findings, however, lend little support to the hypothesis that psychotic experiences in population-based samples of adolescents share a comparable genetic architecture to schizophrenia, or that utilizing a broader and more common phenotype of psychotic experiences will be an efficient approach to increase understanding of the genetic etiology of schizophrenia.
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Affiliation(s)
- Stanley Zammit
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK;
| | - Marian Hamshere
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sarah Dwyer
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Lyudmila Georgiva
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Nic Timpson
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Valentina Moskvina
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alexander Richards
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - David M Evans
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Glyn Lewis
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Peter Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Michael J. Owen
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael C. O’Donovan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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