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Oatman SR, Reddy JS, Quicksall Z, Carrasquillo MM, Wang X, Liu CC, Yamazaki Y, Nguyen TT, Malphrus K, Heckman M, Biswas K, Nho K, Baker M, Martens YA, Zhao N, Kim JP, Risacher SL, Rademakers R, Saykin AJ, DeTure M, Murray ME, Kanekiyo T, Dickson DW, Bu G, Allen M, Ertekin-Taner N. Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer's disease related proteins. Mol Neurodegener 2023; 18:2. [PMID: 36609403 PMCID: PMC9825010 DOI: 10.1186/s13024-022-00592-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 12/19/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is neuropathologically characterized by amyloid-beta (Aβ) plaques and neurofibrillary tangles. The main protein components of these hallmarks include Aβ40, Aβ42, tau, phosphor-tau, and APOE. We hypothesize that genetic variants influence the levels and solubility of these AD-related proteins in the brain; identifying these may provide key insights into disease pathogenesis. METHODS Genome-wide genotypes were collected from 441 AD cases, imputed to the haplotype reference consortium (HRC) panel, and filtered for quality and frequency. Temporal cortex levels of five AD-related proteins from three fractions, buffer-soluble (TBS), detergent-soluble (Triton-X = TX), and insoluble (Formic acid = FA), were available for these same individuals. Variants were tested for association with each quantitative biochemical measure using linear regression, and GSA-SNP2 was used to identify enriched Gene Ontology (GO) terms. Implicated variants and genes were further assessed for association with other relevant variables. RESULTS We identified genome-wide significant associations at seven novel loci and the APOE locus. Genes and variants at these loci also associate with multiple AD-related measures, regulate gene expression, have cell-type specific enrichment, and roles in brain health and other neuropsychiatric diseases. Pathway analysis identified significant enrichment of shared and distinct biological pathways. CONCLUSIONS Although all biochemical measures tested reflect proteins core to AD pathology, our results strongly suggest that each have unique genetic architecture and biological pathways that influence their specific biochemical states in the brain. Our novel approach of deep brain biochemical endophenotype GWAS has implications for pathophysiology of proteostasis in AD that can guide therapeutic discovery efforts focused on these proteins.
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Affiliation(s)
- Stephanie R. Oatman
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Joseph S. Reddy
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL USA
| | - Zachary Quicksall
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL USA
| | | | - Xue Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL USA
| | - Chia-Chen Liu
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Yu Yamazaki
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Thuy T. Nguyen
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Kimberly Malphrus
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Michael Heckman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL USA
| | - Kristi Biswas
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Kwangsik Nho
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN USA
- School of Informatics and Computing, Indiana University School of Medicine, Indianapolis, IN USA
| | - Matthew Baker
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Yuka A. Martens
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Na Zhao
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Jun Pyo Kim
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN USA
| | - Shannon L. Risacher
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
- VIB-UA Center for Molecular Neurology, VIB, University of Antwerp, Antwerp, Belgium
| | - Andrew J. Saykin
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN USA
| | - Michael DeTure
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Melissa E. Murray
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - for the Alzheimer’s Disease Neuroimaging Initiative
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN USA
- School of Informatics and Computing, Indiana University School of Medicine, Indianapolis, IN USA
- VIB-UA Center for Molecular Neurology, VIB, University of Antwerp, Antwerp, Belgium
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN USA
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Birdsall 3, Jacksonville, FL 32224 USA
| | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Birdsall 3, Jacksonville, FL 32224 USA
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Liu JW, Li H, Zhang Y. Npas3 regulates stemness maintenance of radial glial cells and neuronal migration in the developing mouse cerebral cortex. Front Cell Neurosci 2022; 16:865681. [PMID: 36313621 PMCID: PMC9608153 DOI: 10.3389/fncel.2022.865681] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
The neuronal PAS domain 3 (NPAS3) is a member of the basic helix-loop-helix (bHLH) PAS family of transcription factors and is implicated in psychiatric and neurodevelopmental disorders. NPAS3 is robustly expressed in the cortical ventricle zone (VZ), a transient proliferative zone containing progenitor cells, mainly radial glial cells, destined to give rise to cortical excitatory neurons. However, the role of NPAS3 in corticogenesis remains largely unknown. In this study, we knocked down Npas3 expression in the neural progenitor cells residing in the cortical VZ to investigate the role of Npas3 in cerebral cortical development in mice. We demonstrated that Npas3 knockdown profoundly impaired neuronal radial migration and changed the laminar cell fate of the cells detained in the deep cortical layers. Furthermore, the downregulation of Npas3 led to the stemness maintenance of radial glial cells and increased the proliferation rate of neural progenitor cells residing in the VZ/subventricular zone (SVZ). These findings underline the function of Npas3 in the development of the cerebral cortex and may shed light on the etiology of NPAS3-related disorders.
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Protein Aggregation of NPAS3, Implicated in Mental Illness, Is Not Limited to the V304I Mutation. J Pers Med 2021; 11:jpm11111070. [PMID: 34834422 PMCID: PMC8623263 DOI: 10.3390/jpm11111070] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/15/2021] [Accepted: 10/20/2021] [Indexed: 01/01/2023] Open
Abstract
An emerging phenomenon in our understanding of the pathophysiology of mental illness is the idea that specific proteins may form insoluble aggregates in the brains of patients, in partial analogy to similar proteinopathies in neurodegenerative diseases. Several proteins have now been detected as forming such aggregates in the brains of patients, including DISC1, dysbindin-1 and TRIOBP-1. Recently, neuronal PAS domain protein 3 (NPAS3), a known genetic risk factor for schizophrenia, was implicated through a V304I point mutation in a family with major mental illness. Investigation of the mutation revealed that it may lead to aggregation of NPAS3. Here we investigated NPAS3 aggregation in insular cortex samples from 40 individuals, by purifying the insoluble fraction of these samples and testing them by Western blotting. Strikingly, full-length NPAS3 was found in the insoluble fraction of 70% of these samples, implying that aggregation is far more widely spread than can be accounted for by this rare mutation. We investigated the possible mechanism of aggregation further in neuroblastoma cells, finding that oxidative stress plays a larger role than the V304I mutation. Finally, we tested to see if NPAS3 aggregation could also be seen in blood serum, as a more accessible tissue than the human brain for future diagnosis. While no indication of NPAS3 aggregation was seen in the serum, soluble NPAS3 was detected, and was more prevalent in patients with schizophrenia than in those with major depressive disorder or controls. Aggregation of NPAS3 therefore appears to be a widespread and multifactorial phenomenon. Further research is now needed to determine whether it is specifically enhanced in schizophrenia or other mental illnesses.
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4
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Rossi JJ, Rosenfeld JA, Chan KM, Streff H, Nankivell V, Peet DJ, Whitelaw ML, Bersten DC. Molecular characterisation of rare loss-of-function NPAS3 and NPAS4 variants identified in individuals with neurodevelopmental disorders. Sci Rep 2021; 11:6602. [PMID: 33758288 PMCID: PMC7987981 DOI: 10.1038/s41598-021-86041-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/01/2021] [Indexed: 01/01/2023] Open
Abstract
Aberrations in the excitatory/inhibitory balance within the brain have been associated with both intellectual disability (ID) and schizophrenia (SZ). The bHLH-PAS transcription factors NPAS3 and NPAS4 have been implicated in controlling the excitatory/inhibitory balance, and targeted disruption of either gene in mice results in a phenotype resembling ID and SZ. However, there are few human variants in NPAS3 and none in NPAS4 that have been associated with schizophrenia or neurodevelopmental disorders. From a clinical exome sequencing database we identified three NPAS3 variants and four NPAS4 variants that could potentially disrupt protein function in individuals with either developmental delay or ID. The transcriptional activity of the variants when partnered with either ARNT or ARNT2 was assessed by reporter gene activity and it was found that variants which truncated the NPAS3/4 protein resulted in a complete loss of transcriptional activity. The ability of loss-of-function variants to heterodimerise with neuronally enriched partner protein ARNT2 was then determined by co-immunoprecipitation experiments. It was determined that the mechanism for the observed loss of function was the inability of the truncated NPAS3/4 protein to heterodimerise with ARNT2. This further establishes NPAS3 and NPAS4 as candidate neurodevelopmental disorder genes.
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Affiliation(s)
- Joseph J Rossi
- Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, 5005, Australia
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Clinical Genomics, Baylor Genetics Laboratory, Houston, TX, 77030, USA
| | - Katie M Chan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Haley Streff
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Victoria Nankivell
- Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, 5005, Australia
| | - Daniel J Peet
- Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, 5005, Australia
| | - Murray L Whitelaw
- Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, 5005, Australia
| | - David C Bersten
- Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, 5005, Australia.
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5
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Franchini LF. Genetic Mechanisms Underlying Cortical Evolution in Mammals. Front Cell Dev Biol 2021; 9:591017. [PMID: 33659245 PMCID: PMC7917222 DOI: 10.3389/fcell.2021.591017] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 01/08/2021] [Indexed: 12/13/2022] Open
Abstract
The remarkable sensory, motor, and cognitive abilities of mammals mainly depend on the neocortex. Thus, the emergence of the six-layered neocortex in reptilian ancestors of mammals constitutes a fundamental evolutionary landmark. The mammalian cortex is a columnar epithelium of densely packed cells organized in layers where neurons are generated mainly in the subventricular zone in successive waves throughout development. Newborn cells move away from their site of neurogenesis through radial or tangential migration to reach their specific destination closer to the pial surface of the same or different cortical area. Interestingly, the genetic programs underlying neocortical development diversified in different mammalian lineages. In this work, I will review several recent studies that characterized how distinct transcriptional programs relate to the development and functional organization of the neocortex across diverse mammalian lineages. In some primates such as the anthropoids, the neocortex became extremely large, especially in humans where it comprises around 80% of the brain. It has been hypothesized that the massive expansion of the cortical surface and elaboration of its connections in the human lineage, has enabled our unique cognitive capacities including abstract thinking, long-term planning, verbal language and elaborated tool making capabilities. I will also analyze the lineage-specific genetic changes that could have led to the modification of key neurodevelopmental events, including regulation of cell number, neuronal migration, and differentiation into specific phenotypes, in order to shed light on the evolutionary mechanisms underlying the diversity of mammalian brains including the human brain.
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Affiliation(s)
- Lucía Florencia Franchini
- Instituto de Investigaciones en Ingeniería Genética y Biología Molecular (INGEBI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
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6
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Luoma LM, Berry FB. Molecular analysis of NPAS3 functional domains and variants. BMC Mol Biol 2018; 19:14. [PMID: 30509165 PMCID: PMC6276216 DOI: 10.1186/s12867-018-0117-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 11/26/2018] [Indexed: 12/14/2022] Open
Abstract
Background NPAS3 encodes a transcription factor which has been associated with multiple human psychiatric and neurodevelopmental disorders. In mice, deletion of Npas3 was found to cause alterations in neurodevelopment, as well as a marked reduction in neurogenesis in the adult mouse hippocampus. This neurogenic deficit, alongside the reduction in cortical interneuron number, likely contributes to the behavioral and cognitive alterations observed in Npas3 knockout mice. Although loss of Npas3 has been found to affect proliferation and apoptosis, the molecular function of NPAS3 is largely uncharacterized outside of predictions based on its high homology to bHLH–PAS transcription factors. Here we set out to characterize NPAS3 as a transcription factor, and to confirm whether NPAS3 acts as predicted for a Class 1 bHLH–PAS family member. Results Through these studies we have experimentally demonstrated that NPAS3 behaves as a true transcription factor, capable of gene regulation through direct association with DNA. NPAS3 and ARNT are confirmed to directly interact in human cells through both bHLH and PAS dimerization domains. The C-terminus of NPAS3 was found to contain a functional transactivation domain. Further, the NPAS3::ARNT heterodimer was shown to directly regulate the expression of VGF and TXNIP through binding of their proximal promoters. Finally, we assessed the effects of three human variants of NPAS3 on gene regulatory function and do not observe significant deficits. Conclusions NPAS3 is a true transcription factor capable of regulating expression of target genes through their promoters by directly cooperating with ARNT. The tested human variants of NPAS3 require further characterization to identify their effects on NPAS3 expression and function in the individuals that carry them. These data enhance our understanding of the molecular function of NPAS3 and the mechanism by which it contributes to normal and abnormal neurodevelopment and neural function. Electronic supplementary material The online version of this article (10.1186/s12867-018-0117-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Leiah M Luoma
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Fred B Berry
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada. .,Department of Surgery, 3002D Li Ka Shing Centre, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
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7
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Ren H, Fabbri C, Uher R, Rietschel M, Mors O, Henigsberg N, Hauser J, Zobel A, Maier W, Dernovsek MZ, Souery D, Cattaneo A, Breen G, Craig IW, Farmer AE, McGuffin P, Lewis CM, Aitchison KJ. Genes associated with anhedonia: a new analysis in a large clinical trial (GENDEP). Transl Psychiatry 2018; 8:150. [PMID: 30104601 PMCID: PMC6089928 DOI: 10.1038/s41398-018-0198-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 02/17/2018] [Accepted: 03/26/2018] [Indexed: 12/14/2022] Open
Abstract
A key feature of major depressive disorder (MDD) is anhedonia, which is a predictor of response to antidepressant treatment. In order to shed light on its genetic underpinnings, we conducted a genome-wide association study (GWAS) followed by investigation of biological pathway enrichment using an anhedonia dimension for 759 patients with MDD in the GENDEP study. The GWAS identified 18 SNPs associated at genome-wide significance with the top one being an intronic SNP (rs9392549) in PRPF4B (pre-mRNA processing factor 4B) located on chromosome 6 (P = 2.07 × 10-9) while gene-set enrichment analysis returned one gene ontology term, axon cargo transport (GO: 0008088) with a nominally significant P value (1.15 × 10-5). Furthermore, our exploratory analysis yielded some interesting, albeit not statistically significant genetic correlation with Parkinson's Disease and nucleus accumbens gray matter. In addition, polygenic risk scores (PRSs) generated from our association analysis were found to be able to predict treatment efficacy of the antidepressants in this study. In conclusion, we found some markers significantly associated with anhedonia, and some suggestive findings of related pathways and biological functions, which could be further investigated in other studies.
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Affiliation(s)
- Hongyan Ren
- Psychiatry and Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Chiara Fabbri
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Rudolf Uher
- Psychiatry Department, Dalhousie University, Halifax, NS, Canada
| | - Marcella Rietschel
- Division of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Ole Mors
- Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Neven Henigsberg
- Croatian Institute for Brain Research, University of Zagreb, Zagreb, Croatia
| | - Joanna Hauser
- Psychiatry Department, University of Poznan, Poznan, Poland
| | - Astrid Zobel
- Psychiatry Department, University of Bonn, Bonn, Germany
| | - Wolfgang Maier
- Psychiatry Department, University of Bonn, Bonn, Germany
| | - Mojca Z Dernovsek
- University Psychiatric Clinic, University of Ljubliana, Ljubljana, Slovenia
| | - Daniel Souery
- Psychological Medicine, Free University of Brussels, Brussels, Belgium
| | | | - Gerome Breen
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Ian W Craig
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Anne E Farmer
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Peter McGuffin
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Cathryn M Lewis
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Katherine J Aitchison
- Psychiatry and Medical Genetics, University of Alberta, Edmonton, AB, Canada.
- MRC Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
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8
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Luoma LM, Macintyre G, Tibbo PG, Wild TC, Colman I, Purdon SE. NPAS3 exonic SNP genotype is linked to working memory performance in healthy young adults. Psychiatry Res 2018; 265:263-264. [PMID: 29763846 DOI: 10.1016/j.psychres.2018.04.063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 03/28/2018] [Accepted: 04/26/2018] [Indexed: 11/15/2022]
Affiliation(s)
- Leiah M Luoma
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Georgina Macintyre
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - T Cameron Wild
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Ian Colman
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Scot E Purdon
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Neuropsychology Service, Alberta Hospital Edmonton, Edmonton, AB, Canada.
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Abstract
Isela is an 11-year-old Mexican-American girl with mild intellectual disability. During a vacation with her family, she went swimming with dolphins. A few days later, Isela awoke at night with laughing spells; during the day, she was pacing, aggressive, and had a decline in self-care and communication skills. Her parents attributed the symptoms to the dolphins. She was evaluated by a pediatric neurologist. The sleep-deprived electroencephalogram, brain magnetic resonance imaging, lumbar puncture, and thyroid function tests were normal. A genomic microarray was sent. The neurologist initiated empirical therapy for seizures with lamotrigine, which caused a rash. It was discontinued. She was then treated with oxcarbazepine followed by topiramate for several months without any change in symptoms. Comparative genomic hybridization revealed a small deletion at 14q13.1, which includes the NPAS3 gene. Psychiatry was consulted after several months of persistent symptoms. Isela seemed to be laughing in response to internal stimuli. Owing to the decline in communication and her apparent preoccupation with visual and auditory internal stimuli, Isela could not be interviewed adequately to confirm that she was experiencing hallucinations, but her laughter seemed to be in response to hallucinations. Isela was diagnosed with disorganized schizophrenia with psychosis. Risperidone was prescribed.A psychology evaluation was completed a few months later. Parents noted significant improvement after starting risperidone with reduced inappropriate laughing spells, reduced pacing, as well as improved eating, sleeping, communication, and self-care. Cognitive assessment with the Wechsler Abbreviated Scale of Intelligence-II indicated the following: verbal estimated intelligence quotient (IQ) = 70, perceptual estimated IQ = 71, and full-scale estimated IQ = 68. There was no cognitive decline compared with testing at school 4 years previously. Although psychotic symptoms were significantly improved on antipsychotic medication and function appeared to have been restored to her previous level, her parents continued to perceive a significant decline of functioning, and they continued to attribute the psychosis to swimming with the dolphins.
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O’Tuathaigh CMP, Mathur N, O’Callaghan MJ, MacIntyre L, Harvey R, Lai D, Waddington JL, Pickard BS, Watson DG, Moran PM. Specialized Information Processing Deficits and Distinct Metabolomic Profiles Following TM-Domain Disruption of Nrg1. Schizophr Bull 2017; 43:1100-1113. [PMID: 28338897 PMCID: PMC5581893 DOI: 10.1093/schbul/sbw189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Although there is considerable genetic and pathologic evidence for an association between neuregulin 1 (NRG1) dysregulation and schizophrenia, the underlying molecular and cellular mechanisms remain unclear. Mutant mice containing disruption of the transmembrane (TM) domain of the NRG1 gene constitute a heuristic model for dysregulation of NRG1-ErbB4 signaling in schizophrenia. The present study focused on hitherto uncharacterized information processing phenotypes in this mutant line. Using a mass spectrometry-based metabolomics approach, we also quantified levels of unique metabolites in brain. Across 2 different sites and protocols, Nrg1 mutants demonstrated deficits in prepulse inhibition, a measure of sensorimotor gating, that is, disrupted in schizophrenia; these deficits were partially reversed by acute treatment with second, but not first-, generation antipsychotic drugs. However, Nrg1 mutants did not show a specific deficit in latent inhibition, a measure of selective attention that is also disrupted in schizophrenia. In contrast, in a "what-where-when" object recognition memory task, Nrg1 mutants displayed sex-specific (males only) disruption of "what-when" performance, indicative of impaired temporal aspects of episodic memory. Differential metabolomic profiling revealed that these behavioral phenotypes were accompanied, most prominently, by alterations in lipid metabolism pathways. This study is the first to associate these novel physiological mechanisms, previously independently identified as being abnormal in schizophrenia, with disruption of NRG1 function. These data suggest novel mechanisms by which compromised neuregulin function from birth might lead to schizophrenia-relevant behavioral changes in adulthood.
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Affiliation(s)
| | - Naina Mathur
- School of Psychology, University of Nottingham, Nottingham, UK
| | | | - Lynsey MacIntyre
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Richard Harvey
- Victor Chang Cardiac Research Institute, Sydney, Australia
| | - Donna Lai
- Victor Chang Cardiac Research Institute, Sydney, Australia
| | - John L Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric-Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Benjamin S Pickard
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK
| | - Paula M Moran
- School of Psychology, University of Nottingham, Nottingham, UK
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11
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Michaelson JJ, Shin MK, Koh JY, Brueggeman L, Zhang A, Katzman A, McDaniel L, Fang M, Pufall M, Pieper AA. Neuronal PAS Domain Proteins 1 and 3 Are Master Regulators of Neuropsychiatric Risk Genes. Biol Psychiatry 2017; 82:213-223. [PMID: 28499489 PMCID: PMC6901278 DOI: 10.1016/j.biopsych.2017.03.021] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/17/2017] [Accepted: 03/21/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND NPAS3 has been established as a robust genetic risk factor in major mental illness. In mice, loss of neuronal PAS domain protein 3 (NPAS3) impairs postnatal hippocampal neurogenesis, while loss of the related protein NPAS1 promotes it. These and other findings suggest a critical role for NPAS proteins in neuropsychiatric functioning, prompting interest in the molecular pathways under their control. METHODS We used RNA sequencing coupled with chromatin immunoprecipitation sequencing to identify genes directly regulated by NPAS1 and NPAS3 in the hippocampus of wild-type, Npas1-/-, and Npas3-/- mice. Computational integration with human genetic and expression data revealed the disease relevance of NPAS-regulated genes and pathways. Specific findings were confirmed at the protein level by Western blot. RESULTS This is the first in vivo, transcriptome-scale investigation of genes regulated by NPAS1 and NPAS3. These transcription factors control an ensemble of genes that are themselves also major regulators of neuropsychiatric function. Specifically, Fmr1 (fragile X syndrome) and Ube3a (Angelman syndrome) are transcriptionally regulated by NPAS3, as is the neurogenesis regulator Notch. Dysregulation of these pathways was confirmed at the protein level. Furthermore, NPAS1/3 targets show increased human genetic burden for schizophrenia and intellectual disability. CONCLUSIONS Together, these data provide a clear, unbiased view of the full spectrum of genes regulated by NPAS1 and NPAS3 and show that these transcription factors are master regulators of neuropsychiatric function. These findings expose the molecular pathophysiology of NPAS1/3 mutations and provide a striking example of the shared, combinatorial nature of molecular pathways that underlie diagnostically distinct neuropsychiatric conditions.
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Affiliation(s)
- Jacob J Michaelson
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa; Department of Biomedical Engineering, University of Iowa College of Engineering, University of Iowa, Iowa City, Iowa; Department of Communication Sciences and Disorders, University of Iowa College of Liberal Arts and Sciences, University of Iowa, Iowa City, Iowa; Iowa Institute of Human Genetics, University of Iowa, Iowa City, Iowa; Genetics Cluster Initiative, University of Iowa, Iowa City, Iowa; The DeLTA Center, University of Iowa, Iowa City, Iowa; University of Iowa Informatics Initiative, University of Iowa, Iowa City, Iowa.
| | - Min-Kyoo Shin
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Jin-Young Koh
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Leo Brueggeman
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Angela Zhang
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Aaron Katzman
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Latisha McDaniel
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Mimi Fang
- Department of Biochemistry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Miles Pufall
- Department of Biochemistry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Andrew A Pieper
- Department of Psychiatry, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa; Department of Neurology, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa; Free Radical and Radiation Biology Program, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa; Department of Veterans Affairs, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, Iowa; Pappajohn Biomedical Institute, University of Iowa, Iowa City, Iowa; Weill Cornell Autism Research Program, Weill Cornell Medicine, Cornell University, New York, New York
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12
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Button EL, Bersten DC, Whitelaw ML. HIF has Biff – Crosstalk between HIF1a and the family of bHLH/PAS proteins. Exp Cell Res 2017; 356:141-145. [DOI: 10.1016/j.yexcr.2017.03.055] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 03/27/2017] [Indexed: 12/18/2022]
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13
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Evolution of Brain Active Gene Promoters in Human Lineage Towards the Increased Plasticity of Gene Regulation. Mol Neurobiol 2017; 55:1871-1904. [PMID: 28233272 DOI: 10.1007/s12035-017-0427-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 01/26/2017] [Indexed: 01/31/2023]
Abstract
Adaptability to a variety of environmental conditions is a prominent feature of Homo sapiens. We hypothesize that this feature can be explained by evolutionary changes in gene promoters active in the brain prefrontal cortex leading to a more flexible gene regulation network. The genotype-dependent range of gene expression can be broader in humans than in other higher primates. Thus, we searched for specific signatures of evolutionary changes in promoter architectures of multiple hominid genes, including the genes active in human cortical neurons that may indicate an increase of variability of gene expression rather than just changes in the level of expression, such as downregulation or upregulation of the genes. We performed a whole-genome search for genetic-based alterations that may impact gene regulation "flexibility" in a process of hominids evolution, such as (i) CpG dinucleotide content, (ii) predicted nucleosome-DNA dissociation constant, and (iii) predicted affinities for TATA-binding protein (TBP) in gene promoters. We tested all putative promoter regions across the human genome and especially gene promoters in active chromatin state in neurons of prefrontal cortex, the brain region critical for abstract thinking and social and behavioral adaptation. Our data imply that the origin of modern man has been associated with an increase of flexibility of promoter-driven gene regulation in brain. In contrast, after splitting from the ancestral lineages of H. sapiens, the evolution of ape species is characterized by reduced flexibility of gene promoter functioning, underlying reduced variability of the gene expression.
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14
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Endow JK, Rocha AG, Baldwin AJ, Roston RL, Yamaguchi T, Kamikubo H, Inoue K. Polyglycine Acts as a Rejection Signal for Protein Transport at the Chloroplast Envelope. PLoS One 2016; 11:e0167802. [PMID: 27936133 PMCID: PMC5147994 DOI: 10.1371/journal.pone.0167802] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 11/21/2016] [Indexed: 11/19/2022] Open
Abstract
PolyGly is present in many proteins in various organisms. One example is found in a transmembrane β-barrel protein, translocon at the outer-envelope-membrane of chloroplasts 75 (Toc75). Toc75 requires its N-terminal extension (t75) for proper localization. t75 comprises signals for chloroplast import (n75) and envelope sorting (c75) in tandem. n75 and c75 are removed by stromal processing peptidase and plastidic type I signal peptidase 1, respectively. PolyGly is present within c75 and its deletion or substitution causes mistargeting of Toc75 to the stroma. Here we have examined the properties of polyGly-dependent protein targeting using two soluble passenger proteins, the mature portion of the small subunit of ribulose-1,5-bisphosphate carboxylase/oxygenase (mSS) and enhanced green fluorescent protein (EGFP). Both t75-mSS and t75-EGFP were imported into isolated chloroplasts and their n75 removed. Resultant c75-mSS was associated with the envelope at the intermembrane space, whereas c75-EGFP was partially exposed outside the envelope. Deletion of polyGly or substitution of tri-Ala for the critical tri-Gly segment within polyGly caused each passenger to be targeted to the stroma. Transient expression of t75-EGFP in Nicotiana benthamiana resulted in accumulation of c75-EGFP exposed at the surface of the chloroplast, but the majority of the EGFP passenger was found free in the cytosol with most of its c75 attachment removed. Results of circular dichroism analyses suggest that polyGly within c75 may form an extended conformation, which is disrupted by tri-Ala substitution. These data suggest that polyGly is distinct from a canonical stop-transfer sequence and acts as a rejection signal at the chloroplast inner envelope.
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Affiliation(s)
- Joshua K. Endow
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
| | - Agostinho Gomes Rocha
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
| | - Amy J. Baldwin
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
| | - Rebecca L. Roston
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
| | - Toshio Yamaguchi
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
| | - Hironari Kamikubo
- Graduate School of Materials Science, Nara Institute of Science and Technology, Takayama, Ikoma, Nara, Japan
| | - Kentaro Inoue
- Department of Plant Sciences, University of California at Davis, One Shields Avenue, Davis, California, United States of America
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15
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Butler MG, McGuire AB, Masoud H, Manzardo AM. Currently recognized genes for schizophrenia: High-resolution chromosome ideogram representation. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:181-202. [PMID: 26462458 PMCID: PMC6679920 DOI: 10.1002/ajmg.b.32391] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 10/02/2015] [Indexed: 11/09/2022]
Abstract
A large body of genetic data from schizophrenia-related research has identified an assortment of genes and disturbed pathways supporting involvement of complex genetic components for schizophrenia spectrum and other psychotic disorders. Advances in genetic technology and expanding studies with searchable genomic databases have led to multiple published reports, allowing us to compile a master list of known, clinically relevant, or susceptibility genes contributing to schizophrenia. We searched key words related to schizophrenia and genetics from peer-reviewed medical literature sources, authoritative public access psychiatric websites and genomic databases dedicated to gene discovery and characterization of schizophrenia. Our list of 560 genes were arranged in alphabetical order in tabular form with gene symbols placed on high-resolution human chromosome ideograms. Genome wide pathway analysis using GeneAnalytics was carried out on the resulting list of genes to assess the underlying genetic architecture for schizophrenia. Recognized genes of clinical relevance, susceptibility or causation impact a broad range of biological pathways and mechanisms including ion channels (e.g., CACNA1B, CACNA1C, CACNA1H), metabolism (e.g., CYP1A2, CYP2C19, CYP2D6), multiple targets of neurotransmitter pathways impacting dopamine, GABA, glutamate, and serotonin function, brain development (e.g., NRG1, RELN), signaling peptides (e.g., PIK3CA, PIK4CA) and immune function (e.g., HLA-DRB1, HLA-DQA1) and interleukins (e.g., IL1A, IL10, IL6). This summary will enable clinical and laboratory geneticists, genetic counselors, and other clinicians to access convenient pictorial images of the distribution and location of contributing genes to inform diagnosis and gene-based treatment as well as provide risk estimates for genetic counseling of families with affected relatives.
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Affiliation(s)
- Merlin G. Butler
- Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, Kansas City, Kansas,Department of Pediatrics, University of Kansas Medical Center, Kansas City, Kansas,Correspondence to: Merlin G. Butler, M.D., Ph.D., University of Kansas Medical Center, Department of Psychiatry and Behavioral Sciences, 3901 Rainbow Boulevard, MS 4015, Kansas City, KS 66160,
| | - Austen B. McGuire
- Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, Kansas City, Kansas
| | - Humaira Masoud
- Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, Kansas City, Kansas
| | - Ann M. Manzardo
- Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, Kansas City, Kansas
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16
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Cadwell CR, Palasantza A, Jiang X, Berens P, Deng Q, Yilmaz M, Reimer J, Shen S, Bethge M, Tolias KF, Sandberg R, Tolias AS. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nat Biotechnol 2015; 34:199-203. [PMID: 26689543 DOI: 10.1038/nbt.3445] [Citation(s) in RCA: 359] [Impact Index Per Article: 39.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 12/02/2015] [Indexed: 01/21/2023]
Abstract
Despite the importance of the mammalian neocortex for complex cognitive processes, we still lack a comprehensive description of its cellular components. To improve the classification of neuronal cell types and the functional characterization of single neurons, we present Patch-seq, a method that combines whole-cell electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characterization. Following electrophysiological characterization, cell contents are aspirated through the patch-clamp pipette and prepared for RNA-sequencing. Using this approach, we generate electrophysiological and molecular profiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morphological and physiological properties such as axonal arborization and action potential amplitude of individual neurons. Our results shed light on the molecular underpinnings of neuronal diversity and suggest that Patch-seq can facilitate the classification of cell types in the nervous system.
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Affiliation(s)
- Cathryn R Cadwell
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Athanasia Palasantza
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.,Ludwig Institute for Cancer Research, Stockholm, Sweden
| | - Xiaolong Jiang
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Philipp Berens
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.,Bernstein Center for Computational Neuroscience, Tübingen, Germany.,Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.,Werner Reichardt Center for Integrative Neuroscience and Institute of Theoretical Physics, University of Tübingen, Tübingen, Germany
| | - Qiaolin Deng
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.,Ludwig Institute for Cancer Research, Stockholm, Sweden
| | - Marlene Yilmaz
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.,Ludwig Institute for Cancer Research, Stockholm, Sweden
| | - Jacob Reimer
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Shan Shen
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Matthias Bethge
- Bernstein Center for Computational Neuroscience, Tübingen, Germany.,Werner Reichardt Center for Integrative Neuroscience and Institute of Theoretical Physics, University of Tübingen, Tübingen, Germany.,Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Kimberley F Tolias
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.,Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA
| | - Rickard Sandberg
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.,Ludwig Institute for Cancer Research, Stockholm, Sweden
| | - Andreas S Tolias
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.,Bernstein Center for Computational Neuroscience, Tübingen, Germany
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17
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González-Peñas J, Arrojo M, Paz E, Brenlla J, Páramo M, Costas J. Cumulative role of rare and common putative functional genetic variants at NPAS3 in schizophrenia susceptibility. Am J Med Genet B Neuropsychiatr Genet 2015; 168:528-35. [PMID: 25982957 DOI: 10.1002/ajmg.b.32324] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 05/04/2015] [Indexed: 11/07/2022]
Abstract
Schizophrenia may be considered a human-specific disorder arisen as a maladaptive by-product of human-specific brain evolution. Therefore, genetic variants involved in susceptibility to schizophrenia may be identified among those genes related to acquisition of human-specific traits. NPAS3, a transcription factor involved in central nervous system development and neurogenesis, seems to be implicated in the evolution of human brain, as it is the human gene with most human-specific accelerated elements (HAEs), i.e., .mammalian conserved regulatory sequences with accelerated evolution in the lineage leading to humans after human-chimpanzee split. We hypothesize that any nucleotide variant at the NPAS3 HAEs may lead to altered susceptibility to schizophrenia. Twenty-one variants at these HAEs detected by the 1000 genomes Project, as well as five additional variants taken from psychiatric genome-wide association studies, were genotyped in 538 schizophrenic patients and 539 controls from Galicia. Analyses at the haplotype level or based on the cumulative role of the variants assuming different susceptibility models did not find any significant association in spite of enough power under several plausible scenarios regarding direction of effect and the specific role of rare and common variants. These results suggest that, contrary to our hypothesis, the special evolution of the NPAS3 HAEs in Homo relaxed the strong constraint on sequence that characterized these regions during mammalian evolution, allowing some sequence changes without any effect on schizophrenia risk.
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Affiliation(s)
- Javier González-Peñas
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.,Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Manuel Arrojo
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.,Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Eduardo Paz
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.,Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Julio Brenlla
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.,Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Mario Páramo
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.,Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
| | - Javier Costas
- Instituto de investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain
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18
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Gupta CN, Chen J, Liu J, Damaraju E, Wright C, Perrone-Bizzozero NI, Pearlson G, Luo L, Michael AM, Turner JA, Calhoun VD. Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA. Front Hum Neurosci 2015; 9:100. [PMID: 25784871 PMCID: PMC4347454 DOI: 10.3389/fnhum.2015.00100] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 02/10/2015] [Indexed: 11/13/2022] Open
Abstract
It is becoming a consensus that white matter integrity is compromised in schizophrenia (SZ), however the underlying genetics remains elusive. Evidence suggests a polygenic basis of the disorder, which involves various genetic variants with modest individual effect sizes. In this work, we used a multivariate approach, parallel independent component analysis (P-ICA), to explore the genetic underpinnings of white matter abnormalities in SZ. A pre-filtering step was first applied to locate 6527 single nucleotide polymorphisms (SNPs) discriminating patients from controls with a nominal uncorrected p-value of 0.01. These potential susceptibility loci were then investigated for associations with fractional anisotropy (FA) images in a cohort consisting of 73 SZ patients and 87 healthy controls (HC). A significant correlation (r = −0.37, p = 1.25 × 10−6) was identified between one genetic factor and one FA component after controlling for scanning site, ethnicity, age, and sex. The identified FA-SNP association remained stable in a 10-fold validation. A 5000-run permutation test yielded a p-value of 2.00 × 10−4. The FA component reflected decreased white matter integrity in the forceps major for SZ patients. The SNP component was overrepresented in genes whose products are involved in corpus callosum morphology (e.g., CNTNAP2, NPAS3, and NFIB) as well as canonical pathways of synaptic long term depression and protein kinase A signaling. Taken together, our finding delineates a part of genetic architecture underlying SZ-related FA reduction, emphasizing the important role of genetic variants involved in neural development.
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Affiliation(s)
| | - Jiayu Chen
- The Mind Research Network Albuquerque, NM, USA
| | - Jingyu Liu
- The Mind Research Network Albuquerque, NM, USA ; Department of Electrical and Computer Engineering, University of New Mexico Albuquerque, NM, USA
| | | | - Carrie Wright
- The Mind Research Network Albuquerque, NM, USA ; Department of Neurosciences, School of Medicine, University of New Mexico Albuquerque, NM, USA
| | | | - Godfrey Pearlson
- Departments of Psychiatry, Yale University School of Medicine New Haven, CT, USA ; Olin Neuropsychiatry Research Center, Institute of Living Hartford, CT, USA
| | - Li Luo
- Department of Internal Medicine, University of New Mexico Albuquerque, NM, USA
| | | | - Jessica A Turner
- The Mind Research Network Albuquerque, NM, USA ; Department of Psychology and Neuroscience Institute, Georgia State University Atlanta, GA, USA
| | - Vince D Calhoun
- The Mind Research Network Albuquerque, NM, USA ; Department of Electrical and Computer Engineering, University of New Mexico Albuquerque, NM, USA ; Department of Neurosciences, School of Medicine, University of New Mexico Albuquerque, NM, USA ; Departments of Psychiatry, Yale University School of Medicine New Haven, CT, USA
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19
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Davies G, Armstrong N, Bis JC, Bressler J, Chouraki V, Giddaluru S, Hofer E, Ibrahim-Verbaas CA, Kirin M, Lahti J, van der Lee SJ, Le Hellard S, Liu T, Marioni RE, Oldmeadow C, Postmus I, Smith AV, Smith JA, Thalamuthu A, Thomson R, Vitart V, Wang J, Yu L, Zgaga L, Zhao W, Boxall R, Harris SE, Hill WD, Liewald DC, Luciano M, Adams H, Ames D, Amin N, Amouyel P, Assareh AA, Au R, Becker JT, Beiser A, Berr C, Bertram L, Boerwinkle E, Buckley BM, Campbell H, Corley J, De Jager PL, Dufouil C, Eriksson JG, Espeseth T, Faul JD, Ford I, Scotland G, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Heiss G, Hofman A, Holliday EG, Huffman J, Kardia SLR, Kochan N, Knopman DS, Kwok JB, Lambert JC, Lee T, Li G, Li SC, Loitfelder M, Lopez OL, Lundervold AJ, Lundqvist A, Mather KA, Mirza SS, Nyberg L, Oostra BA, Palotie A, Papenberg G, Pattie A, Petrovic K, Polasek O, Psaty BM, Redmond P, Reppermund S, Rotter JI, Schmidt H, Schuur M, Schofield PW, Scott RJ, Steen VM, Stott DJ, van Swieten JC, Taylor KD, Trollor J, Trompet S, Uitterlinden AG, Weinstein G, Widen E, Windham BG, Jukema JW, Wright AF, Wright MJ, Yang Q, Amieva H, Attia JR, Bennett DA, Brodaty H, de Craen AJM, Hayward C, Ikram MA, Lindenberger U, Nilsson LG, Porteous DJ, Räikkönen K, Reinvang I, Rudan I, Sachdev PS, Schmidt R, Schofield PR, Srikanth V, Starr JM, Turner ST, Weir DR, Wilson JF, van Duijn C, Launer L, Fitzpatrick AL, Seshadri S, Mosley TH, Deary IJ. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry 2015; 20:183-92. [PMID: 25644384 PMCID: PMC4356746 DOI: 10.1038/mp.2014.188] [Citation(s) in RCA: 260] [Impact Index Per Article: 28.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 11/11/2014] [Accepted: 11/24/2014] [Indexed: 01/14/2023]
Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.
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Affiliation(s)
- G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - N Armstrong
- School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - V Chouraki
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - S Giddaluru
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - E Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria,Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - C A Ibrahim-Verbaas
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - S J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Le Hellard
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - T Liu
- Max Planck Institute for Human Development, Berlin, Germany,Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - J A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - A Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Thomson
- Menzies Research Institute, Hobart, Tasmania
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - J Wang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland,Andrija Stampar School of Public Health, Medical School, University of Zagreb, Zagreb, Croatia
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - R Boxall
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - W D Hill
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - H Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - D Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, VIC, Australia,Academic Unit for Psychiatry of Old Age, St George's Hospital, University of Melbourne, Kew, Australia
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - P Amouyel
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - A A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - J T Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - C Berr
- Inserm, U106, Montpellier, France,Université Montpellier I, Montpellier, France
| | - L Bertram
- Max Planck Institute for Molecular Genetics, Berlin, Germany,Faculty of Medicine, School of Public Health, Imperial College, London, UK
| | - E Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA,Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - H Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - P L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - C Dufouil
- Inserm U708, Neuroepidemiology, Paris, France,Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J G Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - T Espeseth
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - J D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - I Ford
- Robertson Center for Biostatistics, Glasgow, UK
| | - Generation Scotland
- Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - R F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M E Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - T B Harris
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - G Heiss
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - E G Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - J Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - S L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - N Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - D S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - J B Kwok
- Neuroscience Research Australia, Randwick, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J-C Lambert
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - T Lee
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - G Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - S-C Li
- Max Planck Institute for Human Development, Berlin, Germany,Technische Universität Dresden, Dresden, Germany
| | - M Loitfelder
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - A Lundqvist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - K A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S S Mirza
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - B A Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - G Papenberg
- Max Planck Institute for Human Development, Berlin, Germany,Karolinska Institutet, Aging Research Center, Stockholm University, Stockholm, Sweden
| | - A Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, Croatia
| | - B M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA,Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Deparment of Health Services, University of Washington, Seattle, WA, USA,Group Health Research Unit, Group Health Cooperative, Seattle, WA, USA
| | - P Redmond
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - H Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria,Centre for Molecular Medicine, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - M Schuur
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P W Schofield
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - J C van Swieten
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - J Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - G Weinstein
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - B G Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands,Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - A F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M J Wright
- Neuroimaging Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Q Yang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - H Amieva
- Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J R Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - D A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - H Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M A Ikram
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - U Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
| | - L-G Nilsson
- ARC, Karolinska Institutet, Stockholm and UFBI, Umeå University, Umeå, Sweden
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - P S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - R Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - V Srikanth
- Menzies Research Institute, Hobart, Tasmania,Stroke and Ageing Research, Medicine, Southern Clinical School, Monash University, Melbourne, VIC, Australia
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - D R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - J F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - C van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Launer
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - A L Fitzpatrick
- Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Department of Global Health, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - T H Mosley
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, Scotland, UK. E-mail:
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Abstract
This review considers pharmacogenetics of the so called 'second-generation' antipsychotics. Findings for polymorphisms replicating in more than one study are emphasized and compared and contrasted with larger-scale candidate gene studies and genome-wide association study analyses. Variants in three types of genes are discussed: pharmacokinetic genes associated with drug metabolism and disposition, pharmacodynamic genes encoding drug targets, and pharmacotypic genes impacting disease presentation and subtype. Among pharmacokinetic markers, CYP2D6 metabolizer phenotype has clear clinical significance, as it impacts dosing considerations for aripiprazole, iloperidone and risperidone, and variants of the ABCB1 gene hold promise as biomarkers for dosing for olanzapine and clozapine. Among pharmacodynamic variants, the TaqIA1 allele of the DRD2 gene, the DRD3 (Ser9Gly) polymorphism, and the HTR2C -759C/T polymorphism have emerged as potential biomarkers for response and/or side effects. However, large-scale candidate gene studies and genome-wide association studies indicate that pharmacotypic genes may ultimately prove to be the richest source of biomarkers for response and side effect profiles for second-generation antipsychotics.
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Affiliation(s)
- Mark D Brennan
- Department of Biochemistry & Molecular Biology, School of Medicine, University of Louisville, Louisville, KY 40292, USA.
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21
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Stanco A, Pla R, Vogt D, Chen Y, Mandal S, Walker J, Hunt RF, Lindtner S, Erdman CA, Pieper AA, Hamilton SP, Xu D, Baraban SC, Rubenstein JLR. NPAS1 represses the generation of specific subtypes of cortical interneurons. Neuron 2014; 84:940-53. [PMID: 25467980 PMCID: PMC4258152 DOI: 10.1016/j.neuron.2014.10.040] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2014] [Indexed: 11/29/2022]
Abstract
Little is known about genetic mechanisms that regulate the ratio of cortical excitatory and inhibitory neurons. We show that NPAS1 and NPAS3 transcription factors (TFs) are expressed in progenitor domains of the mouse basal ganglia (subpallium, MGE, and CGE). NPAS1(-/-) mutants had increased proliferation, ERK signaling, and expression of Arx in the MGE and CGE. NPAS1(-/-) mutants also had increased neocortical inhibition (sIPSC and mIPSC) and generated an excess of somatostatin(+) (SST) (MGE-derived) and vasoactive intestinal polypeptide(+) (VIP) (CGE-derived) neocortical interneurons, but had a normal density of parvalbumin(+) (PV) (MGE-derived) interneurons. In contrast, NPAS3(-/-) mutants showed decreased proliferation and ERK signaling in progenitors of the ganglionic eminences and had fewer SST(+) and VIP(+) interneurons. NPAS1 repressed activity of an Arx enhancer, and Arx overexpression resulted in increased proliferation of CGE progenitors. These results provide insights into genetic regulation of cortical interneuron numbers and cortical inhibitory tone.
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Affiliation(s)
- Amelia Stanco
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA.
| | - Ramón Pla
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Daniel Vogt
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Yiran Chen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Shyamali Mandal
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Jamie Walker
- Department of Biochemistry, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Robert F Hunt
- Department of Neurological Surgery, Neuroscience Program, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Susan Lindtner
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Carolyn A Erdman
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Andrew A Pieper
- Department of Psychiatry and Neurology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Steven P Hamilton
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Scott C Baraban
- Department of Neurological Surgery, Neuroscience Program, University of California, San Francisco, San Francisco, CA 94143, USA
| | - John L R Rubenstein
- Department of Psychiatry, Neuroscience Program, and the Nina Ireland Laboratory of Developmental Neurobiology, University of California, San Francisco, San Francisco, CA 94158-2324, USA.
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22
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Bernier D, Macintyre G, Bartha R, Hanstock CC, McAllindon D, Cox D, Purdon S, Aitchison KJ, Rusak B, Tibbo PG. NPAS3 variants in schizophrenia: a neuroimaging study. BMC MEDICAL GENETICS 2014; 15:37. [PMID: 24674381 PMCID: PMC3986669 DOI: 10.1186/1471-2350-15-37] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/08/2014] [Accepted: 03/21/2014] [Indexed: 11/10/2022]
Abstract
Background This research is a one-site neuroimaging component of a two-site genetic study involving patients with schizophrenia at early and later stages of illness. Studies support a role for the neuronal Per-Arnt-Sim 3 (NPAS3) gene in processes that are essential for normal brain development. Specific NPAS3 variants have been observed at an increased frequency in schizophrenia. In humans, NPAS3 protein was detected in the hippocampus from the first trimester of gestation. In addition, NPAS3 protein levels were reduced in the dorsolateral prefrontal cortex of some patients with schizophrenia. Npas3 knockout mice display behavioural, neuroanatomical and structural changes with associated severe reductions in neural precursor cell proliferation in the hippocampal dentate gyrus. This study will evaluate the hypothesis that the severe reductions in neural precursor cell proliferation in the dentate gyrus will be present to some degree in patients carrying schizophrenia-associated NPAS3 variants and less so in other patients. Methods/Design Patients enrolled in the larger genetic study (n = 150) will be invited to participate in this neuroimaging arm. The genetic data will be used to ensure a sample size of 45 participants in each genetic subgroup of patients (with and without NPAS3 variants). In addition, we will recruit 60 healthy controls for acquisition of normative data. The following neuroimaging measures will be acquired from the medial temporal region: a) an index of the microcellular environment; b) a macro-structural volumetric measure of the hippocampus; and c) concentration levels of N-acetylaspartate, a marker of neuronal health. Discussion This study will help to establish the contribution of the NPAS3 gene and its variants to brain tissue abnormalities in schizophrenia. Given the genetic and phenotypic heterogeneity of the disorder and the large variation in outcomes, the identification of biological subgroups may in future support tailoring of treatment approaches in order to optimize recovery.
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Affiliation(s)
- Denise Bernier
- Department of Psychiatry, Dalhousie University, Halifax, Canada.
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Evidence for shared genetic risk between methamphetamine-induced psychosis and schizophrenia. Neuropsychopharmacology 2013; 38:1864-70. [PMID: 23594818 PMCID: PMC3746703 DOI: 10.1038/npp.2013.94] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 03/25/2013] [Accepted: 03/26/2013] [Indexed: 02/04/2023]
Abstract
Methamphetamine (METH) use can provoke psychotic reactions requiring immediate treatment, namely METH-induced psychosis. Although the distinction between METH-induced and primary psychosis is important for understanding their clinical courses, we do not have clear diagnostic procedure by their symptoms. Not only are there similarities between the clinical features of METH-induced psychosis and schizophrenia (SCZ), but there is also epidemiological evidence of a shared genetic risk between 'METH-related' disorders and SCZ, which makes the differentiation of these two conditions difficult. In this study, we conducted a genome-wide association study (GWAS) targeting METH-dependent patients. The METH sample group, used in the METH-dependence GWAS, included 236 METH-dependent patients and 864 healthy controls. We also included a 'within-case' comparison between 194 METH-induced psychosis patients and 42 METH-dependent patients without psychosis in a METH-induced psychosis GWAS. To investigate the shared genetic components between METH dependence, METH-induced psychosis, and SCZ, data from our previous SCZ GWAS (total N=1108) were re-analyzed. In the SNP-based analysis, none of the SNPs showed genome-wide significance in either data set. By performing a polygenic component analysis, however, we found that a large number of 'risk' alleles for METH-induced psychosis are over-represented in individuals with SCZ (Pbest=0.0090). Conversely, we did not detect enrichment either between METH dependence and METH-induced psychosis or between METH dependence and SCZ. The results support previous epidemiological and neurobiological evidence for a relationship between METH-induced psychosis and SCZ. These also suggest that the overlap between genes scored as positive in these data sets can have higher probability as susceptibility genes for psychosis.
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25
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Discovery of structural alterations in solid tumor oligodendroglioma by single molecule analysis. BMC Genomics 2013; 14:505. [PMID: 23885787 PMCID: PMC3727977 DOI: 10.1186/1471-2164-14-505] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2013] [Accepted: 07/23/2013] [Indexed: 12/31/2022] Open
Abstract
Background Solid tumors present a panoply of genomic alterations, from single base changes to the gain or loss of entire chromosomes. Although aberrations at the two extremes of this spectrum are readily defined, comprehensive discernment of the complex and disperse mutational spectrum of cancer genomes remains a significant challenge for current genome analysis platforms. In this context, high throughput, single molecule platforms like Optical Mapping offer a unique perspective. Results Using measurements from large ensembles of individual DNA molecules, we have discovered genomic structural alterations in the solid tumor oligodendroglioma. Over a thousand structural variants were identified in each tumor sample, without any prior hypotheses, and often in genomic regions deemed intractable by other technologies. These findings were then validated by comprehensive comparisons to variants reported in external and internal databases, and by selected experimental corroborations. Alterations range in size from under 5 kb to hundreds of kilobases, and comprise insertions, deletions, inversions and compound events. Candidate mutations were scored at sub-genic resolution and unambiguously reveal structural details at aberrant loci. Conclusions The Optical Mapping system provides a rich description of the complex genomes of solid tumors, including sequence level aberrations, structural alterations and copy number variants that power generation of functional hypotheses for oligodendroglioma genetics.
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26
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Bassuk AG, Muthuswamy LB, Boland R, Smith TL, Hulstrand AM, Northrup H, Hakeman M, Dierdorff JM, Yung CK, Long A, Brouillette RB, Au KS, Gurnett C, Houston DW, Cornell RA, Manak JR. Copy number variation analysis implicates the cell polarity gene glypican 5 as a human spina bifida candidate gene. Hum Mol Genet 2012; 22:1097-111. [PMID: 23223018 DOI: 10.1093/hmg/dds515] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Neural tube defects (NTDs) are common birth defects of complex etiology. Family and population-based studies have confirmed a genetic component to NTDs. However, despite more than three decades of research, the genes involved in human NTDs remain largely unknown. We tested the hypothesis that rare copy number variants (CNVs), especially de novo germline CNVs, are a significant risk factor for NTDs. We used array-based comparative genomic hybridization (aCGH) to identify rare CNVs in 128 Caucasian and 61 Hispanic patients with non-syndromic lumbar-sacral myelomeningocele. We also performed aCGH analysis on the parents of affected individuals with rare CNVs where parental DNA was available (42 sets). Among the eight de novo CNVs that we identified, three generated copy number changes of entire genes. One large heterozygous deletion removed 27 genes, including PAX3, a known spina bifida-associated gene. A second CNV altered genes (PGPD8, ZC3H6) for which little is known regarding function or expression. A third heterozygous deletion removed GPC5 and part of GPC6, genes encoding glypicans. Glypicans are proteoglycans that modulate the activity of morphogens such as Sonic Hedgehog (SHH) and bone morphogenetic proteins (BMPs), both of which have been implicated in NTDs. Additionally, glypicans function in the planar cell polarity (PCP) pathway, and several PCP genes have been associated with NTDs. Here, we show that GPC5 orthologs are expressed in the neural tube, and that inhibiting their expression in frog and fish embryos results in NTDs. These results implicate GPC5 as a gene required for normal neural tube development.
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Affiliation(s)
- Alexander G Bassuk
- Department of Pediatrics, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
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An environmental analysis of genes associated with schizophrenia: hypoxia and vascular factors as interacting elements in the neurodevelopmental model. Mol Psychiatry 2012; 17:1194-205. [PMID: 22290124 DOI: 10.1038/mp.2011.183] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Investigating and understanding gene-environment interaction (G × E) in a neurodevelopmentally and biologically plausible manner is a major challenge for schizophrenia research. Hypoxia during neurodevelopment is one of several environmental factors related to the risk of schizophrenia, and links between schizophrenia candidate genes and hypoxia regulation or vascular expression have been proposed. Given the availability of a wealth of complex genetic information on schizophrenia in the literature without knowledge on the connections to environmental factors, we now systematically collected genes from candidate studies (using SzGene), genome-wide association studies (GWAS) and copy number variation (CNV) analyses, and then applied four criteria to test for a (theoretical) link to ischemia-hypoxia and/or vascular factors. In all, 55% of the schizophrenia candidate genes (n=42 genes) met the criteria for a link to ischemia-hypoxia and/or vascular factors. Genes associated with schizophrenia showed a significant, threefold enrichment among genes that were derived from microarray studies of the ischemia-hypoxia response (IHR) in the brain. Thus, the finding of a considerable match between genes associated with the risk of schizophrenia and IHR and/or vascular factors is reproducible. An additional survey of genes identified by GWAS and CNV analyses suggested novel genes that match the criteria. Findings for interactions between specific variants of genes proposed to be IHR and/or vascular factors with obstetric complications in patients with schizophrenia have been reported in the literature. Therefore, the extended gene set defined here may form a reasonable and evidence-based starting point for hypothesis-based testing of G × E interactions in clinical genetic and translational neuroscience studies.
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Liu Q, Jamba M, Patrick C, Padmanabhan S, Brennan MD. Targeted pharmacogenetic analysis of antipsychotic response in the CATIE study. Pharmacogenomics 2012; 13:1227-37. [PMID: 22920393 PMCID: PMC3518380 DOI: 10.2217/pgs.12.105] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
AIM This study evaluated the impact of 6789 SNPs on treatment response to antipsychotics in Caucasian patients from the CATIE study. MATERIALS & METHODS An Illumina (CA, USA) BeadChip was designed that targeted genes potentially impacting disease risk, disease presentation or antipsychotic response. SNPs tagged regions of linkage disequilibrium or functional variants not detectable using previous genotypes for CATIE. Change in Positive and Negative Syndrome scale total score was modeled using a mixed model repeated measures method that assumed a 30-day lag period. Genetic association analysis was performed using linear regression. RESULTS Association analysis identified 20 SNPs with p-values of ≤5 × 10(-4). Many of these are in genes previously implicated in schizophrenia and other neuropsychiatric diseases. CONCLUSION The targeted approach identified SNPs possibly influencing response to antipsychotic drugs in Caucasian patients suffering from schizophrenia. The findings support a biological link between disease risk and presentation and antipsychotic response.
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Affiliation(s)
- Qian Liu
- SureGene, LLC, 600 Envoy Circle, Louisville, KY 40299, USA
| | - Maidar Jamba
- SureGene, LLC, 600 Envoy Circle, Louisville, KY 40299, USA
| | - Calvin Patrick
- SureGene, LLC, 600 Envoy Circle, Louisville, KY 40299, USA
| | | | - Mark D Brennan
- SureGene, LLC, 600 Envoy Circle, Louisville, KY 40299, USA
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Sha L, MacIntyre L, Machell JA, Kelly MP, Porteous DJ, Brandon NJ, Muir WJ, Blackwood DH, Watson DG, Clapcote SJ, Pickard BS. Transcriptional regulation of neurodevelopmental and metabolic pathways by NPAS3. Mol Psychiatry 2012; 17:267-79. [PMID: 21709683 DOI: 10.1038/mp.2011.73] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The basic helix-loop-helix PAS (Per, Arnt, Sim) domain transcription factor gene NPAS3 is a replicated genetic risk factor for psychiatric disorders. A knockout (KO) mouse model exhibits behavioral and adult neurogenesis deficits consistent with human illness. To define the location and mechanism of NPAS3 etiopathology, we combined immunofluorescent, transcriptomic and metabonomic approaches. Intense Npas3 immunoreactivity was observed in the hippocampal subgranular zone-the site of adult neurogenesis--but was restricted to maturing, rather than proliferating, neuronal precursor cells. Microarray analysis of a HEK293 cell line over-expressing NPAS3 showed that transcriptional targets varied according to circadian rhythm context and C-terminal deletion. The most highly up-regulated NPAS3 target gene, VGF, encodes secretory peptides with established roles in neurogenesis, depression and schizophrenia. VGF was just one of many NPAS3 target genes also regulated by the SOX family of transcription factors, suggesting an overlap in neurodevelopmental function. The parallel repression of multiple glycolysis genes by NPAS3 reveals a second role in the regulation of glucose metabolism. Comparison of wild-type and Npas3 KO metabolite composition using high-resolution mass spectrometry confirmed these transcriptional findings. KO brain tissue contained significantly altered levels of NAD(+), glycolysis metabolites (such as dihydroxyacetone phosphate and fructose-1,6-bisphosphate), pentose phosphate pathway components and Kreb's cycle intermediates (succinate and α-ketoglutarate). The dual neurodevelopmental and metabolic aspects of NPAS3 activity described here increase our understanding of mental illness etiology, and may provide a mechanism for innate and medication-induced susceptibility to diabetes commonly reported in psychiatric patients.
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Affiliation(s)
- L Sha
- Department of Medical Genetics, Institute for Genetics and Molecular Medicine, University of Edinburgh, Molecular Medicine Centre, Western General Hospital, Edinburgh, UK
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Fonseca DJ, Prada CF, Siza LM, Angel D, Gomez YM, Restrepo CM, Douben H, Rivadeneira F, de Klein A, Laissue P. A de novo 14q12q13.3 interstitial deletion in a patient affected by a severe neurodevelopmental disorder of unknown origin. Am J Med Genet A 2012; 158A:689-93. [PMID: 22315208 DOI: 10.1002/ajmg.a.35215] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2011] [Accepted: 11/02/2011] [Indexed: 11/09/2022]
Affiliation(s)
- Dora Janeth Fonseca
- Unidad de Genética, Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario. Bogotá, Colombia
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Lane RF, Shineman DW, Steele JW, Lee LBH, Fillit HM. Beyond amyloid: the future of therapeutics for Alzheimer's disease. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2012; 64:213-71. [PMID: 22840749 DOI: 10.1016/b978-0-12-394816-8.00007-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Currently, the field is awaiting the results of several pivotal Phase III clinical Alzheimer's disease (AD) trials that target amyloid-β (Aβ). In light of the recent biomarker studies that indicate Aβ levels are at their most dynamic 5-10 years before the onset of clinical symptoms, it is becoming uncertain whether direct approaches to target Aβ will achieve desired clinical efficacy. AD is a complex neurodegenerative disease caused by dysregulation of numerous neurobiological networks and cellular functions, resulting in synaptic loss, neuronal loss, and ultimately impaired memory. While it is clear that Aβ plays a key role in the pathogenesis of AD, it may be a challenging and inefficient target for mid-to-late stage AD intervention. Throughout the course of AD, multiple pathways become perturbed, presenting a multitude of possible therapeutic avenues for design of AD intervention and prophylactic therapies. In this chapter, we sought to first provide an overview of Aβ-directed strategies that are currently in development, and the pivotal Aβ-targeted trials that are currently underway. Next, we delve into the biology and therapeutic designs associated with other key areas of research in the field including tau, protein trafficking and degradation pathways, ApoE, synaptic function, neurotrophic/neuroprotective strategies, and inflammation and energy utilization. For each area we have provided a comprehensive and balanced overview of the therapeutic strategies currently in preclinical and clinical development, which will shape the future therapeutic landscape of AD.
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Affiliation(s)
- Rachel F Lane
- Alzheimer's Drug Discovery Foundation, New York, NY, USA
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Yanagi M, Southcott S, Lister J, Tamminga CA. Animal models of schizophrenia emphasizing construct validity. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2012; 105:411-44. [PMID: 22137438 DOI: 10.1016/b978-0-12-394596-9.00012-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Achieving animal models of schizophrenia which are representative of clear aspects of the illness is critical to understanding pathophysiology and developing novel treatments for the complex syndrome. This chapter reviews the various approaches that have been used in the past to create animal models of schizophrenia, including pharmacological approaches, environmental risk conditions and schizophrenia risk genes. In addition, we present a new animal model which derives directly from human tissue and brain imaging data used to develop a human schizophrenia model. This chapter emphasizes the crucial need for construct validity and of modeling discrete elements of schizophrenia's illness presentation as the way to successful advances.
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Affiliation(s)
- Masaya Yanagi
- Department of Psychiatry, UT Southwestern Medical School, Dallas, Texas, USA
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Cross-disorder analysis of bipolar risk genes: further evidence of DGKH as a risk gene for bipolar disorder, but also unipolar depression and adult ADHD. Neuropsychopharmacology 2011; 36:2076-85. [PMID: 21654738 PMCID: PMC3158324 DOI: 10.1038/npp.2011.98] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Recently, several genome-wide association studies (GWAS) on bipolar disorder (BPD) suggested novel risk genes. However, only few of them were followed up and further, the specificity of these genes is even more elusive. To address these issues, we genotyped SNPs in ANK3, CACNA1C, CMTM8, DGKH, EGFR, and NPAS3, which were significantly associated with BPD in previous GWAS, in a sample of 380 BPD patients. Replicated SNPs were then followed up in patients suffering from unipolar depression (UPD; n=387) or adult attention-deficit/hyperactivity disorder (aADHD; n=535). While we could not confirm an association of ANK3, CACNA1C, and EGFR with BPD, 10 SNPs in DGKH, CMTM8, and NPAS3 were nominally associated with disease, with two DGKH markers surviving correction for multiple testing. When these were followed up in UPD and aADHD, seven DGKH SNPs were also associated with UPD, while one SNP each in NPAS3 and CMTM8 and four in DGKH were linked to aADHD. Furthermore, a DGKH haplotype consisting of rs994856/rs9525580/rs9525584 GAT was associated with all disorders tested, while the complementary AGC haplotype was protective. The corresponding haploblock spans a 27-kb region covering exons coding for amino acids 65-243, and thus might include functional variants yet to be identified. We demonstrate an association of DGKH with BPD, UPD, and aADHD by applying a two-stage design. These disorders share the feature of mood instability, so that this phenotype might be associated with genetic variation in DGKH.
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Moreira F, Kiehl TR, So K, Ajeawung NF, Honculada C, Gould P, Pieper RO, Kamnasaran D. NPAS3 demonstrates features of a tumor suppressive role in driving the progression of Astrocytomas. THE AMERICAN JOURNAL OF PATHOLOGY 2011; 179:462-76. [PMID: 21703424 DOI: 10.1016/j.ajpath.2011.03.044] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2010] [Revised: 03/08/2011] [Accepted: 03/23/2011] [Indexed: 01/28/2023]
Abstract
Malignant astrocytomas, the most common primary brain tumors, are predominantly fatal. Improved treatments will require a better understanding of the biological features of high-grade astrocytomas. To better understand the role of neuronal PAS 3 (NPAS3) in diseases in human beings, it was investigated as a candidate for astrocytomagenesis based on the presence of aberrant protein expression in greater than 70% of a human astrocytoma panel (n = 433) and most notably in surgically resected malignant lesions. In subsequent functional studies, it was concluded that NPAS3 exhibits features of a tumor-suppressor, which drives the progression of astrocytomas by modulating the cell cycle, proliferation, apoptosis, and cell migration/invasion and has a further influence on the viability of endothelial cells. Of clinical importance, absence of NPAS3 expression in glioblastomas was a significantly negative prognostic marker of survival. In addition, malignant astrocytomas lacking NPAS3 expression demonstrated loss of function mutations, which were associated with loss of heterozygosity. While overexpressed NPAS3 in malignant glioma cell lines significantly suppressed transformation, the converse decreased expression considerably induced more aggressive growth. In addition, knockdown NPAS3 expression in a human astrocyte cell line in concert with the human papillomavirus E6 and E7 oncogenes induced growth of malignant astrocytomas. In conclusion, NPAS3 drives the progression of human malignant astrocytomas as a tumor suppressor and is a negative prognostication marker for survival.
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Affiliation(s)
- Frederico Moreira
- Centre de Recherche de l'Hôtel-Dieu de Québec, Québec, Québec, Canada
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Gould P, Kamnasaran D. Immunohistochemical analyses of NPAS3 expression in the developing human fetal brain. Anat Histol Embryol 2011; 40:196-203. [PMID: 21306425 DOI: 10.1111/j.1439-0264.2010.01059.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The NPAS3 gene encodes a transcription factor with disease roles in neurodevelopment, neoplasia and neurobehaviour. We report the first immunohistochemical findings on NPAS3 protein expression in the developing human fetal brain during the three trimesters (10-41 weeks) of gestational development. In the first trimester, NPAS3 expression is largely confined in the nucleus of cells of the ventricular zone. Similarly, strong nuclear expression in the hippocampus is noted as early as the first trimester, but with progressive increases in expression becoming more apparent in the molecular layer and layer III of the maturing neocortex during the second and third trimesters. In the cerebellum, nuclear expression is seen in basket cells and in Bergmann glia, but some cytoplasmic staining present in the internal granule layer of neurons. Findings from this study will assist in understanding the role of NPAS3 in human gestational brain development and consequently the pathological involvement in human diseases.
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Affiliation(s)
- P Gould
- Division of Anatomic Pathology, Department of Medical Biology, CHAUQ Hôpital de l'Enfant-Jésus, QC, Canada.
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Pieper AA, Xie S, Capota E, Estill SJ, Zhong J, Long JM, Becker GL, Huntington P, Goldman SE, Shen CH, Capota M, Britt JK, Kotti T, Ure K, Brat DJ, Williams NS, MacMillan KS, Naidoo J, Melito L, Hsieh J, De Brabander J, Ready JM, McKnight SL. Discovery of a proneurogenic, neuroprotective chemical. Cell 2010; 142:39-51. [PMID: 20603013 DOI: 10.1016/j.cell.2010.06.018] [Citation(s) in RCA: 284] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2010] [Revised: 06/04/2010] [Accepted: 06/10/2010] [Indexed: 11/29/2022]
Abstract
An in vivo screen was performed in search of chemicals capable of enhancing neuron formation in the hippocampus of adult mice. Eight of 1000 small molecules tested enhanced neuron formation in the subgranular zone of the dentate gyrus. Among these was an aminopropyl carbazole, designated P7C3, endowed with favorable pharmacological properties. In vivo studies gave evidence that P7C3 exerts its proneurogenic activity by protecting newborn neurons from apoptosis. Mice missing the gene encoding neuronal PAS domain protein 3 (NPAS3) are devoid of hippocampal neurogenesis and display malformation and electrophysiological dysfunction of the dentate gyrus. Prolonged administration of P7C3 to npas3(-/-) mice corrected these deficits by normalizing levels of apoptosis of newborn hippocampal neurons. Prolonged administration of P7C3 to aged rats also enhanced neurogenesis in the dentate gyrus, impeded neuron death, and preserved cognitive capacity as a function of terminal aging. PAPERCLIP:
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Affiliation(s)
- Andrew A Pieper
- Department of Biochemistry, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9152, USA.
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