251
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Fiksinski AM, Schneider M, Zinkstok J, Baribeau D, Chawner SJRA, Vorstman JAS. Neurodevelopmental Trajectories and Psychiatric Morbidity: Lessons Learned From the 22q11.2 Deletion Syndrome. Curr Psychiatry Rep 2021; 23:13. [PMID: 33625600 PMCID: PMC7904715 DOI: 10.1007/s11920-021-01225-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/13/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW The 22q11.2 deletion syndrome (22q11DS) is associated with a broad spectrum of neurodevelopmental phenotypes and is the strongest known single genetic risk factor for schizophrenia. Compared to other rare structural pathogenic genetic variants, 22q11DS is relatively common and one of the most extensively studied. This review provides a state-of-the-art overview of current insights regarding associated neurodevelopmental phenotypes and potential implications for 22q11DS and beyond. RECENT FINDINGS We will first discuss recent findings with respect to neurodevelopmental phenotypic expression associated with 22q11DS, including psychotic disorders, intellectual functioning, autism spectrum disorders, as well as their interactions. Second, we will address considerations that are important in interpreting these data and propose potential implications for both the clinical care for and the empirical study of individuals with 22q11DS. Third, we will highlight variable penetrance and pleiotropy with respect to neurodevelopmental phenotypes in 22q11DS. We will discuss how these phenomena are consistently observed in the context of virtually all rare pathogenic variants and that they pose substantial challenges from both a clinical and a research perspective. We outline how 22q11DS could be viewed as a genetic model for studying neurodevelopmental phenotypes. In addition, we propose that 22q11DS research can help elucidate mechanisms underlying variable expression and pleiotropy of neurodevelopmental phenotypes, insights that are likely relevant for 22q11DS and beyond, including for individuals with other rare pathogenic genetic variants and for individuals with idiopathic neurodevelopmental conditions.
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Affiliation(s)
- Ania M. Fiksinski
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Dalglish Family 22q Clinic for Adults with 22q11.2 Deletion Syndrome, Toronto General Hospital, University Health Network, Toronto, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario Canada
| | - Maude Schneider
- Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Department of Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Janneke Zinkstok
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Danielle Baribeau
- Department of Psychiatry, Hospital for Sick Children, Toronto, ON Canada
- Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Samuel J. R. A. Chawner
- Cardiff University Centre for Human Developmental Science, School of Psychology, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Jacob A. S. Vorstman
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Psychiatry, Hospital for Sick Children, Toronto, ON Canada
- Department of Psychiatry, University of Toronto, Toronto, ON Canada
- The Centre for Applied Genomics, Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
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252
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Genome-wide association analysis of cognitive function in Danish long-lived individuals. Mech Ageing Dev 2021; 195:111463. [PMID: 33607172 DOI: 10.1016/j.mad.2021.111463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 01/21/2021] [Accepted: 02/10/2021] [Indexed: 11/23/2022]
Abstract
Cognitive function is a substantially heritable trait related to numerous important life outcomes. Several genome-wide association studies of cognitive function have in recent years led to the identification of thousands of significantly associated loci and genes. Individuals included in these studies have rarely been nonagenarians and centenarians, and since cognitive function is an important component of quality of life for this rapidly expanding demographic group, there is a need to explore genetic factors associated with individual differences in cognitive function at advanced ages. In this study, we pursued this by performing a genome-wide association study of cognitive function in 490 long-lived Danes (age range 90.1-100.8 years). While no genome-wide significant SNPs were identified, suggestively significant SNPs (P < 1 × 10-5) were mapped to several interesting genes, including ZWINT, CELF2, and DNAH5, and the glutamate receptor genes GRID2 and GRM7. Additionally, results from a gene set over-representation analysis indicated potential roles of gene sets related to G protein-coupled receptor (GPCR) signaling, interaction between L1 and ankyrins, mitogen-activated protein kinase (MAPK) signaling, RNA degradation, and cell cycle. Larger studies are needed to shed further light on the possible importance of these suggestive genes and pathways in cognitive function in nonagenarians and centenarians.
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253
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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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254
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Causal relationships between genetically determined metabolites and human intelligence: a Mendelian randomization study. Mol Brain 2021; 14:29. [PMID: 33563321 PMCID: PMC7871559 DOI: 10.1186/s13041-021-00743-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 02/01/2021] [Indexed: 01/01/2023] Open
Abstract
Intelligence predicts important life and health outcomes, but the biological mechanisms underlying differences in intelligence are not yet understood. The use of genetically determined metabotypes (GDMs) to understand the role of genetic and environmental factors, and their interactions, in human complex traits has been recently proposed. However, this strategy has not been applied to human intelligence. Here we implemented a two-sample Mendelian randomization (MR) analysis using GDMs to assess the causal relationships between genetically determined metabolites and human intelligence. The standard inverse-variance weighted (IVW) method was used for the primary MR analysis and three additional MR methods (MR-Egger, weighted median, and MR-PRESSO) were used for sensitivity analyses. Using 25 genetic variants as instrumental variables (IVs), our study found that 5-oxoproline was associated with better performance in human intelligence tests (PIVW = 9.25 × 10-5). The causal relationship was robust when sensitivity analyses were applied (PMR-Egger = 0.0001, PWeighted median = 6.29 × 10-6, PMR-PRESSO = 0.0007), and repeated analysis yielded consistent result (PIVW = 0.0087). Similarly, also dihomo-linoleate (20:2n6) and p-acetamidophenylglucuronide showed robust association with intelligence. Our study provides novel insight by integrating genomics and metabolomics to estimate causal effects of genetically determined metabolites on human intelligence, which help to understanding of the biological mechanisms related to human intelligence.
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255
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Martin HC, Gardner EJ, Samocha KE, Kaplanis J, Akawi N, Sifrim A, Eberhardt RY, Tavares ALT, Neville MDC, Niemi MEK, Gallone G, McRae J, Wright CF, FitzPatrick DR, Firth HV, Hurles ME. The contribution of X-linked coding variation to severe developmental disorders. Nat Commun 2021; 12:627. [PMID: 33504798 PMCID: PMC7840967 DOI: 10.1038/s41467-020-20852-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 12/08/2020] [Indexed: 12/14/2022] Open
Abstract
Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders.
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Affiliation(s)
- Hilary C Martin
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
| | | | | | - Joanna Kaplanis
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Nadia Akawi
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Alejandro Sifrim
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Department of Human Genetics, University of Leuven, Leuven, Belgium
| | | | - Ana Lisa Taylor Tavares
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Genomics England, Queen Mary University of London, London, EC1M 6BQ, UK
| | | | - Mari E K Niemi
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Tukholmankatu 8, Helsinki, FI-00014, Finland
| | - Giuseppe Gallone
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Max Planck Institute for Molecular Genetics, Ihnestraße 63, 14195, Berlin, Germany
| | - Jeremy McRae
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Illumina Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Caroline F Wright
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - David R FitzPatrick
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
- Department of Clinical Genetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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256
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Integrative analysis of genome-wide association studies identifies novel loci associated with neuropsychiatric disorders. Transl Psychiatry 2021; 11:69. [PMID: 33479212 PMCID: PMC7820351 DOI: 10.1038/s41398-020-01195-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/10/2020] [Accepted: 12/11/2020] [Indexed: 01/30/2023] Open
Abstract
Neuropsychiatric disorders, such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) share common clinical presentations, suggesting etiologic overlap. A substantial proportion of SNP-based heritability for neuropsychiatric disorders is attributable to genetic components, and genome-wide association studies (GWASs) focusing on individual diseases have identified multiple genetic loci shared between these diseases. Here, we aimed at identifying novel genetic loci associated with individual neuropsychiatric diseases and genetic loci shared by neuropsychiatric diseases. We performed multi-trait joint analyses and meta-analysis across five neuropsychiatric disorders based on their summary statistics from the Psychiatric Genomics Consortium (PGC), and further carried out a replication study of ADHD among 2726 cases and 16299 controls in an independent pediatric cohort. In the multi-trait joint analyses, we found five novel genome-wide significant loci for ADHD, one novel locus for BIP, and ten novel loci for MDD. We further achieved modest replication in our independent pediatric dataset. We conducted fine-mapping and functional annotation through an integrative multi-omics approach and identified causal variants and potential target genes at each novel locus. Gene expression profile and gene-set enrichment analysis further suggested early developmental stage expression pattern and postsynaptic membrane compartment enrichment of candidate genes at the genome-wide significant loci of these neuropsychiatric disorders. Therefore, through a multi-omics approach, we identified novel genetic loci associated with the five neuropsychiatric disorders which may help to better understand the underlying molecular mechanism of neuropsychiatric diseases.
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257
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Santonja J, Martínez K, Román FJ, Escorial S, Quiroga MÁ, Álvarez-Linera J, Iturria-Medina Y, Santarnecchi E, Colom R. Brain resilience across the general cognitive ability distribution: Evidence from structural connectivity. Brain Struct Funct 2021; 226:845-859. [DOI: 10.1007/s00429-020-02213-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 12/30/2020] [Indexed: 12/14/2022]
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258
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Tsetsos F, Yu D, Sul JH, Huang AY, Illmann C, Osiecki L, Darrow SM, Hirschtritt ME, Greenberg E, Muller-Vahl KR, Stuhrmann M, Dion Y, Rouleau GA, Aschauer H, Stamenkovic M, Schlögelhofer M, Sandor P, Barr CL, Grados MA, Singer HS, Nöthen MM, Hebebrand J, Hinney A, King RA, Fernandez TV, Barta C, Tarnok Z, Nagy P, Depienne C, Worbe Y, Hartmann A, Budman CL, Rizzo R, Lyon GJ, McMahon WM, Batterson JR, Cath DC, Malaty IA, Okun MS, Berlin C, Woods DW, Lee PC, Jankovic J, Robertson MM, Gilbert DL, Brown LW, Coffey BJ, Dietrich A, Hoekstra PJ, Kuperman S, Zinner SH, Wagner M, Knowles JA, Jeremy Willsey A, Tischfield JA, Heiman GA, Cox NJ, Freimer NB, Neale BM, Davis LK, Coppola G, Mathews CA, Scharf JM, Paschou P, Barr CL, Batterson JR, Berlin C, Budman CL, Cath DC, Coppola G, Cox NJ, Darrow S, Davis LK, Dion Y, Freimer NB, Grados MA, Greenberg E, Hirschtritt ME, Huang AY, Illmann C, King RA, Kurlan R, Leckman JF, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Neale BM, Okun MS, Osiecki L, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Singer HS, Smit JH, Sul JH, Yu D, Aschauer HAH, Barta C, Budman CL, Cath DC, Depienne C, Hartmann A, Hebebrand J, Konstantinidis A, Mathews CA, Müller-Vahl K, Nagy P, Nöthen MM, Paschou P, Rizzo R, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Stamenkovic M, Stuhrmann M, Tsetsos F, Tarnok Z, Wolanczyk T, Worbe Y, Brown L, Cheon KA, Coffey BJ, Dietrich A, Fernandez TV, Garcia-Delgar B, Gilbert D, Grice DE, Hagstrøm J, Hedderly T, Heiman GA, Heyman I, Hoekstra PJ, Huyser C, Kim YK, Kim YS, King RA, Koh YJ, Kook S, Kuperman S, Leventhal BL, Madruga-Garrido M, Mir P, Morer A, Münchau A, Plessen KJ, Roessner V, Shin EY, Song DH, Song J, Tischfield JA, Willsey AJ, Zinner S, Aschauer H, Barr CL, Barta C, Batterson JR, Berlin C, Brown L, Budman CL, Cath DC, Coffey BJ, Coppola G, Cox NJ, Darrow S, Davis LK, Depienne C, Dietrich A, Dion Y, Fernandez T, Freimer NB, Gilbert D, Grados MA, Greenberg E, Hartmann A, Hebebrand J, Heiman G, Hirschtritt ME, Hoekstra P, Huang AY, Illmann C, Jankovic J, King RA, Kuperman S, Lee PC, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Müller-Vahl K, Nagy P, Neale BM, Nöthen MM, Okun MS, Osiecki L, Paschou P, Rizzo R, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Singer HS, Stamenkovic M, Stuhrmann M, Sul JH, Tarnok Z, Tischfield J, Tsetsos F, Willsey AJ, Woods D, Worbe Y, Yu D, Zinner S. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 2021; 11:56. [PMID: 33462189 PMCID: PMC7814139 DOI: 10.1038/s41398-020-01082-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/18/2020] [Accepted: 10/21/2020] [Indexed: 12/23/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder of complex genetic architecture involving multiple interacting genes. Here, we sought to elucidate the pathways that underlie the neurobiology of the disorder through genome-wide analysis. We analyzed genome-wide genotypic data of 3581 individuals with TS and 7682 ancestry-matched controls and investigated associations of TS with sets of genes that are expressed in particular cell types and operate in specific neuronal and glial functions. We employed a self-contained, set-based association method (SBA) as well as a competitive gene set method (MAGMA) using individual-level genotype data to perform a comprehensive investigation of the biological background of TS. Our SBA analysis identified three significant gene sets after Bonferroni correction, implicating ligand-gated ion channel signaling, lymphocytic, and cell adhesion and transsynaptic signaling processes. MAGMA analysis further supported the involvement of the cell adhesion and trans-synaptic signaling gene set. The lymphocytic gene set was driven by variants in FLT3, raising an intriguing hypothesis for the involvement of a neuroinflammatory element in TS pathogenesis. The indications of involvement of ligand-gated ion channel signaling reinforce the role of GABA in TS, while the association of cell adhesion and trans-synaptic signaling gene set provides additional support for the role of adhesion molecules in neuropsychiatric disorders. This study reinforces previous findings but also provides new insights into the neurobiology of TS.
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Grants
- R01 NS102371 NINDS NIH HHS
- R01 NS096207 NINDS NIH HHS
- R01 NS096008 NINDS NIH HHS
- R01 MH115958 NIMH NIH HHS
- K08 MH099424 NIMH NIH HHS
- U24 NS095914 NINDS NIH HHS
- K02 NS085048 NINDS NIH HHS
- R01 MH115963 NIMH NIH HHS
- U01 HG009086 NHGRI NIH HHS
- R56 MH120736 NIMH NIH HHS
- U54 MD010722 NIMHD NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 DC016977 NIDCD NIH HHS
- R01 NS105746 NINDS NIH HHS
- R01 MH118233 NIMH NIH HHS
- DP2 HD098859 NICHD NIH HHS
- R01 MH115961 NIMH NIH HHS
- U24 MH068457 NIMH NIH HHS
- R25 NS108939 NINDS NIH HHS
- R01 MH114927 NIMH NIH HHS
- R01 NR014852 NINR NIH HHS
- R21 HG010652 NHGRI NIH HHS
- R01 MH113362 NIMH NIH HHS
- RM1 HG009034 NHGRI NIH HHS
- FT is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers - 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (IKY)
- KMV has received financial or material research support from the EU (FP7-HEALTH-2011 No. 278367, FP7-PEOPLE-2012-ITN No. 316978), the German Research Foundation (DFG: GZ MU 1527/3-1), the German Ministry of Education and Research (BMBF: 01KG1421), the National Institute of Mental Health (NIMH), the Tourette Gesellschaft Deutschland e.V., the Else-Kroner-Fresenius-Stiftung, and GW, Almirall, Abide Therapeutics, and Therapix Biosiences and has received consultant’s honoraria from Abide Therapeutics, Tilray, Resalo Vertrieb GmbH, and Wayland Group, speaker’s fees from Tilray and Cogitando GmbH, and royalties from Medizinisch Wissenschaftliche Verlagsgesellschaft Berlin, Elsevier, and Kohlhammer; and is a consultant for Nuvelution TS Pharma Inc., Zynerba Pharmaceuticals, Resalo Vertrieb GmbH, CannaXan GmbH, Therapix Biosiences, Syqe, Nomovo Pharma, and Columbia Care.
- MMN has received fees for memberships in Scientific Advisory Boards from the Lundbeck Foundation and the Robert-Bosch-Stiftung, and for membership in the Medical-Scientific Editorial Office of the Deutsches Ärzteblatt. MMN was reimbursed travel expenses for a conference participation by Shire Deutschland GmbH. MMN receives salary payments from Life & Brain GmbH and holds shares in Life & Brain GmbH. All this concerned activities outside the submitted work.
- IM has participated in research funded by the Parkinson Foundation, Tourette Association, Dystonia Coalition, AbbVie, Biogen, Boston Scientific, Eli Lilly, Impax, Neuroderm, Prilenia, Revance, Teva but has no owner interest in any pharmaceutical company. She has received travel compensation or honoraria from the Tourette Association of America, Parkinson Foundation, International Association of Parkinsonism and Related Disorders, Medscape, and Cleveland Clinic, and royalties for writing a book with Robert rose publishers.
- MSO serves as a consultant for the Parkinson’s Foundation, and has received research grants from NIH, Parkinson’s Foundation, the Michael J. Fox Foundation, the Parkinson Alliance, Smallwood Foundation, the Bachmann-Strauss Foundation, the Tourette Syndrome Association, and the UF Foundation. MSO’s DBS research is supported by: NIH R01 NR014852 and R01NS096008. MSO is PI of the NIH R25NS108939 Training Grant. MSO has received royalties for publications with Demos, Manson, Amazon, Smashwords, Books4Patients, Perseus, Robert Rose, Oxford and Cambridge (movement disorders books). MSO is an associate editor for New England Journal of Medicine Journal Watch Neurology. MSO has participated in CME and educational activities on movement disorders sponsored by the Academy for Healthcare Learning, PeerView, Prime, QuantiaMD, WebMD/Medscape, Medicus, MedNet, Einstein, MedNet, Henry Stewart, American Academy of Neurology, Movement Disorders Society and by Vanderbilt University. The institution and not MSO receives grants from Medtronic, Abbvie, Boston Scientific, Abbott and Allergan and the PI has no financial interest in these grants. MSO has participated as a site PI and/or co-I for several NIH, foundation, and industry sponsored trials over the years but has not received honoraria. Research projects at the University of Florida receive device and drug donations.
- DW receives royalties for books on Tourette Syndrome with Guilford Press, Oxford University Press, and Springer Press.
- BMN is a member of the scientific advisory board at Deep Genomics and consultant for Camp4 Therapeutics, Takeda Pharmaceutical and Biogen.
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Affiliation(s)
- Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Sabrina M Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Kirsten R Muller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | | | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | | | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Douglas W Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Donald L Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | | | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel H Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | | | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Overlook Hospital, Summit, NJ, USA
| | - James F Leckman
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jan H Smit
- Department of Psychiatry, VU UniversityMedical Center, Amsterdam, The Netherlands
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Harald Aschauer Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anastasios Konstantinidis
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Center for Mental Health Muldenstrasse, BBRZMed, Linz, Austria
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Tomasz Wolanczyk
- Department of Child Psychiatry, Medical University of Warsaw, 00-001, Warsaw, Poland
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keun-Ah Cheon
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Blanca Garcia-Delgar
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic Universitari, Barcelona, Spain
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Dorothy E Grice
- Department of Psychiatry, Friedman Brain Institute, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Hagstrøm
- Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark
| | - Tammy Hedderly
- Tic and Neurodevelopmental Movements Service (TANDeM), Evelina Children's Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
- Paediatric Neurosciences, Kings College London, London, UK
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Isobel Heyman
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Psychological and Mental Health Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Chaim Huyser
- De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | | | - Young-Shin Kim
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yun-Joo Koh
- The Korea Institute for Children's Social Development, Rudolph Child Research Center, Seoul, South Korea
| | - Sodahm Kook
- Kangbuk Samsung Hospital, Seoul, South Korea
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Bennett L Leventhal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Marcos Madruga-Garrido
- Sección de Neuropediatría, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Kerstin J Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Lausanne, Switzerland
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav CarusTU Dresden, Dresden, Germany
| | - Eun-Young Shin
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Dong-Ho Song
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Jungeun Song
- National Health Insurance Service Ilsan Hospital, Goyang-Si, South Korea
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Thomas Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Gary Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Pieter Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Douglas Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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Tsampoula M, Tarampoulous I, Antoniadou I, Koutmani Y, Gkikas D, Vekrellis K, Politis PK. Nuclear Receptor NR5A2 Promotes Neuronal Identity in the Adult Hippocampus. Mol Neurobiol 2021; 58:1952-1962. [PMID: 33411242 DOI: 10.1007/s12035-020-02222-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 11/19/2020] [Indexed: 12/01/2022]
Abstract
Neurogenesis in the dentate gyrus (DG) of the adult hippocampus is actively involved in brain homeostasis. Thus, identification of novel regulators in adult neurogenesis could significantly contribute to new therapies. We have recently unraveled the regulatory role of NR5A2 (also known as LRH1), a druggable orphan nuclear receptor, in embryonic neurogenesis. However, its involvement in adult neurogenesis is still an open question. Here we show that NR5A2 is differentially expressed in the DG of the adult hippocampus with neurons exhibiting higher levels of expression than adult neural stem/progenitor cells (aNSCs), suggesting a correlation with neuronal differentiation. Notably, NR5A2 overexpression in ex vivo cultured aNSCs induces expression of Prox1, a critical regulator of adult hippocampal neurogenesis. In agreement, NR5A2 is sufficient to reduce proliferation, increase neuronal differentiation, and promote axon outgrowth. Moreover, depletion of NR5A2 in DG cells in vivo caused a decrease in the number of NeuN as well as Calbindin-positive neurons, indicating its necessity for the maintenance of neuronal identity. Our data propose a regulatory role of NR5A2 in neuronal differentiation and fate specification of adult hippocampal NSCs.
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Affiliation(s)
- Matina Tsampoula
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Isaak Tarampoulous
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Ivi Antoniadou
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Yassemi Koutmani
- Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Dimitrios Gkikas
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Kostas Vekrellis
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece
| | - Panagiotis K Politis
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Efesiou Str, 115 27, Athens, Greece.
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Mayer JS, Bernhard A, Fann N, Boxhoorn S, Hartman CA, Reif A, Freitag CM. Cognitive mechanisms underlying depressive disorders in ADHD: A systematic review. Neurosci Biobehav Rev 2021; 121:307-345. [PMID: 33359622 DOI: 10.1016/j.neubiorev.2020.12.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/01/2020] [Accepted: 12/09/2020] [Indexed: 01/06/2023]
Abstract
The risk for major depressive disorder (MDD) is considerably increased in young adults with attention-deficit/hyperactivity disorder (ADHD) but underlying mechanisms are poorly understood. This review explores ADHD-specific neurocognitive impairments as possible underlying mechanisms for ADHD-depression comorbidity. Two systematic literature searches were conducted in EBSCOhost, PubMED, and Cochrane Reviews databases according to PRISMA guidelines. The first search identified 18 meta-analyses of cross-sectional and longitudinal studies on cognitive dysfunctions in MDD across the lifespan. The second search identified six original studies on reaction time variability in MDD. During acute depression, children and adults showed cognitive deficits that overlapped with some of the ADHD-related impairments. Findings from remitted patients, high-risk individuals, and few prospective studies suggest that a subset of these shared impairments, specifically executive dysfunctions (selective attention, verbal fluency, working memory) and long-term memory problems, are candidate pre-existing risk markers of depression. We discuss if and how these specific neurocognitive mechanisms may mediate developmental pathways from ADHD to depression. If replicated by longitudinal studies, these findings may guide future prevention strategies.
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Affiliation(s)
- Jutta S Mayer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, 60528 Frankfurt am Main, Germany.
| | - Anka Bernhard
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, 60528 Frankfurt am Main, Germany
| | - Nikola Fann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, 60528 Frankfurt am Main, Germany
| | - Sara Boxhoorn
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, 60528 Frankfurt am Main, Germany
| | - Catharina A Hartman
- Interdisciplinary Centre Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Centre Groningen, CC 72, P.O. Box 30.001, 9700 RB Groningen, the Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Heinrich-Hoffmann-Str. 10, 60528 Frankfurt am Main, Germany
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Deutschordenstraße 50, 60528 Frankfurt am Main, Germany
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261
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Qian ZJ, Nuyen BA, Kandathil CK, Truong MT, Tribble MS, Most SP, Chang KW. Social Perceptions of Pediatric Hearing Aids. Laryngoscope 2021; 131:E2387-E2392. [PMID: 33405290 DOI: 10.1002/lary.29369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/18/2020] [Accepted: 12/26/2020] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To determine whether hearing aid (HA) use affects social perceptions of general public adults and age-matched peers and if so, determine if effects are modulated by lack of societal representation of pediatric HAs. METHODS A 10-year-old boy was presented in six photographic conditions with and without HAs and eyeglasses (a worn sensory aid with wider societal representation). HAs were presented in neutral skin tone and bright blue colors. Photographic conditions were embedded into web-based surveys with visual analog scales to capture social perceptions data and sourced to 206 adults (age 18-65) and 202 peers (age 10) with demographic characteristics representative of the general US population. Mean differences in scores for each condition compared to control images were computed using two-tailed t-tests. RESULTS In both adult and child respondents, HAs were associated with decreased athleticism, confidence, health, leadership, and popularity. Glasses were associated with decreased athleticism and popularity but increased intelligence, overall success, and in the child respondents, friendliness. When worn in combination, the beneficial effects of glasses were mitigated by brightly colored but not neutrally colored HAs. CONCLUSION Negative effects of pediatric HAs on social perceptions may be influenced by poor societal representation of HAs. These results suggest that greater representation of pediatric HAs is necessary to make society more inclusive for children with hearing loss. LEVEL OF EVIDENCE 4 Laryngoscope, 131:E2387-E2392, 2021.
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Affiliation(s)
- Z Jason Qian
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
| | - Brian A Nuyen
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
| | - Cherian K Kandathil
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
| | - Mai-Thy Truong
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
| | - Melissa S Tribble
- Pediatric Audiology, Lucile Packard Children's Hospital, Palo Alto, California, U.S.A
| | - Sam P Most
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
| | - Kay W Chang
- Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A
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Xie X, Li L, Wu H, Hou F, Chen Y, Xue Q, Zhou Y, Zhang J, Gong J, Song R. Comprehensive Integrative Analyses Identify TIGD5 rs75547282 as a Risk Variant for Autism Spectrum Disorder. Autism Res 2021; 14:631-644. [PMID: 33393181 DOI: 10.1002/aur.2466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/16/2020] [Accepted: 12/21/2020] [Indexed: 12/12/2022]
Abstract
Although recent genome-wide association studies have identified risk loci that strongly associates with autism spectrum disorder (ASD), how to pinpoint the causal genes remains a challenge. We aimed to pinpoint the potential causal genes and explore the possible susceptibility and mechanism. A convergent functional genomics (CFG) method was used to prioritize the candidate genes by combining lines of evidence, including Sherlock analysis, spatio-temporal expression patterns, expression analysis, protein-protein interactions, co-expression and association with brain structure. A higher score in the CFG approach suggested that more evidence supported this gene as an ASD risk gene. We screened genes with higher CFG scores for candidate functional single nucleotide polymorphisms (SNPs). A genotyping experiment (602 ASD children and 604 healthy sex-matched children) and the dual-luciferase reporter gene assay were followed to validate the effects of SNPs. We identified three genes (MAPT, ZNF285, and TIGD5) as candidate causal genes using the CFG approach. The genotyping experiment showed that TIGD5 rs75547282 was associated with an increased risk of ASD under the dominant model (OR = 1.37, 95% CI = 1.09-1.72, P = 0.006) though the statistical power was limited (5.2%). The T allele of rs75547282 activated the expression of TIGD5 compared with the C allele in the dual-luciferase reporter assay. Our study indicates that such comprehensive integrative analyses may be an effective way to explore promising ASD susceptibility variants and needs to be further investigated in future research. Genotyping experiments should, however, be based on a larger population sample to increase statistical power. LAY SUMMARY: We set out to pinpoint the potential causal genes of ASD and explore the possible susceptibility and mechanism by combining lines of evidence from different analyses. Our results show that TIGD5 rs75547282 is associated with the risk of ASD in the Han Chinese population. In addition, a similar framework to seek promising ASD risk variants could be further investigated in future research Autism Res 2021, 14: 631-644. © 2021 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Xinyan Xie
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Li
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, China
| | - Hao Wu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang Hou
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, China
| | - Yanlin Chen
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, China
| | - Qi Xue
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Jianhua Gong
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, China
| | - Ranran Song
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ohi K, Otowa T, Shimada M, Sugiyama S, Muto Y, Tanahashi S, Kaiya H, Nishimura F, Sasaki T, Tanii H, Shioiri T. Shared transethnic genetic basis of panic disorder and psychiatric and related intermediate phenotypes. Eur Neuropsychopharmacol 2021; 42:87-96. [PMID: 33189524 DOI: 10.1016/j.euroneuro.2020.11.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 09/23/2020] [Accepted: 11/02/2020] [Indexed: 02/07/2023]
Abstract
Panic disorder (PD), a common anxiety disorder, is modestly heritable. The genetic basis of anxiety disorders overlaps with that of other psychiatric disorders and their intermediate phenotypes in individuals of European ancestry. Here, we investigated the transethnic polygenetic features shared between Japanese PD patients and European patients with psychiatric disorders and their intermediate phenotypes by conducting polygenic risk score (PRS) analyses. Large-scale European genome-wide association study (GWAS) datasets (n = 7,556-1,131,881) for ten psychiatric disorders and seven intermediate phenotypes were utilized as discovery samples. PRSs derived from these GWASs were calculated for Japanese target subjects [718 PD patients and 1,717 healthy controls (HCs)]. The effects of these PRSs from European GWASs on the risk of PD in Japanese patients were investigated. The PRSs from European studies of anxiety disorders were marginally higher in Japanese PD patients than in HCs (p = 0.013). Regarding other psychiatric disorders, the PRSs for depression in European patients were significantly higher in Japanese PD patients than in HCs (p = 2.31×10-4), while the PRSs for attention-deficit/hyperactivity disorder in European patients were nominally lower in Japanese PD patients than in HCs (p = 0.024). Regarding health-related, personality-based and cognitive intermediate phenotypes, the PRSs for loneliness (especially isolation) in European individuals were significantly higher in Japanese PD patients than in HCs (p = 9.02×10-4). Furthermore, Japanese PD patients scored nominally higher than HCs in PRSs for neuroticism in European people (p = 3.37×10-3), while Japanese PD patients scored nominally lower than HCs in PRSs for tiredness (p = 0.025), educational attainment (p = 0.035) and cognitive function (p = 9.63×10-3). Our findings suggest that PD shares transethnic genetic etiologies with other psychiatric disorders and related intermediate phenotypes.
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Affiliation(s)
- Kazutaka Ohi
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan; Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.
| | - Takeshi Otowa
- Department of Neuropsychiatry, NTT Medical Center Tokyo, Tokyo, Japan
| | - Mihoko Shimada
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan; Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Shunsuke Tanahashi
- Graduate School of Medicine, Department of Psychiatry, Mie University, Mie, Japan
| | - Hisanobu Kaiya
- Panic Disorder Research Center, Warakukai Medical Corporation, Tokyo, Japan
| | - Fumichika Nishimura
- Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, Japan
| | - Tsukasa Sasaki
- Department of Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Hisashi Tanii
- Center for Physical and Mental Health, Mie University, Mie, Japan; Graduate School of Medicine, Department of Health Promotion and Disease Prevention, Mie University, Mie, Japan
| | - Toshiki Shioiri
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
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Ning L, Ko JMY, Yu VZ, Ng HY, Chan CKC, Tao L, Lam SY, Leong MML, Ngan RKC, Kwong DLW, Lee AWM, Ng WT, Cheng A, Tung S, Lee VHF, Lam KO, Kwan CK, Li WS, Yau S, Bei JX, Lung ML. Nasopharyngeal carcinoma MHC region deep sequencing identifies HLA and novel non-HLA TRIM31 and TRIM39 loci. Commun Biol 2020; 3:759. [PMID: 33311639 PMCID: PMC7733486 DOI: 10.1038/s42003-020-01487-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/14/2020] [Indexed: 12/13/2022] Open
Abstract
Despite pronounced associations of major histocompatibility complex (MHC) regions with nasopharyngeal carcinoma (NPC), causal variants underlying NPC pathogenesis remain elusive. Our large-scale comprehensive MHC region deep sequencing study of 5689 Hong Kong Chinese identifies eight independent NPC-associated signals and provides mechanistic insight for disrupted transcription factor binding, altering target gene transcription. Two novel protective variants, rs2517664 (Trs2517664 = 4.6%, P = 6.38 × 10−21) and rs117495548 (Grs117495548 = 3.0%, P = 4.53 × 10−13), map near TRIM31 and TRIM39/TRIM39-RPP21; multiple independent protective signals map near HLA-B including a previously unreported variant, rs2523589 (P = 1.77 × 10−36). The rare HLA-B*07:05 allele (OR < 0.015, P = 5.83 × 10−21) is absent in NPC, but present in controls. The most prevalent haplotype lacks seven independent protective alleles (OR = 1.56) and the one with additional Asian-specific susceptibility rs9391681 allele (OR = 2.66) significantly increased NPC risk. Importantly, this study provides new evidence implicating two non-human leukocyte antigen (HLA) genes, E3 ubiquitin ligases, TRIM31 and TRIM39, impacting innate immune responses, with NPC risk reduction, independent of classical HLA class I/II alleles. Here the authors report a major histocompatibility complex (MHC) association analysis for nasopharyngeal carcinoma in Chinese individuals from Hong Kong, finding 8 independent associated loci associated with lower risk for developing nasopharyngeal carcinoma. Two non-human leukocyte antigen (HLA) genes are E3 ubiquitin ligases, TRIM31 and TRIM39, having a role in the innate immune response and implicating the importance of host Epstein-Barr virus interactions in this cancer.
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Affiliation(s)
- Lvwen Ning
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Josephine Mun-Yee Ko
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.
| | - Valen Zhuoyou Yu
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Hoi Yan Ng
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Candy King-Chi Chan
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Lihua Tao
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Shiu-Yeung Lam
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Merrin Man-Long Leong
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Roger Kai-Cheong Ngan
- Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Dora Lai-Wan Kwong
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Anne Wing-Mui Lee
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Wai-Tong Ng
- Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Department of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Ashley Cheng
- Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Department of Oncology, Princess Margaret Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Stewart Tung
- Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Victor Ho-Fun Lee
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Ka-On Lam
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.,Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China
| | - Chung-Kong Kwan
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Wing-Sum Li
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Stephen Yau
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong (Special Administrative Region), People's Republic of China
| | - Jin-Xin Bei
- Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, 510060, Guangzhou, People's Republic of China
| | - Maria Li Lung
- Department of Clinical Oncology, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China. .,Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (Special Administrative Region), People's Republic of China.
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de Las Heras B, Rodrigues L, Cristini J, Weiss M, Prats-Puig A, Roig M. Does the Brain-Derived Neurotrophic Factor Val66Met Polymorphism Modulate the Effects of Physical Activity and Exercise on Cognition? Neuroscientist 2020; 28:69-86. [PMID: 33300425 DOI: 10.1177/1073858420975712] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Val66Met is a polymorphism of the brain-derived neurotrophic factor (BDNF) gene that encodes a substitution of a valine (Val) to methionine (Met) amino acid. Carrying this polymorphism reduces the activity-dependent secretion of the BDNF protein, which can potentially affect brain plasticity and cognition. We reviewed the biology of Val66Met and surveyed 26 studies (11,417 participants) that examined the role of this polymorphism in moderating the cognitive response to physical activity (PA) and exercise. Nine observational studies confirmed a moderating effect of Val66Met on the cognitive response to PA but differences between Val and Met carriers were inconsistent and only significant in some cognitive domains. Only five interventional studies found a moderating effect of Val66Met on the cognitive response to exercise, which was also inconsistent in its direction. Two studies showed a superior cognitive response in Val carriers and three studies showed a better response in Met carriers. These results do not support a general and consistent effect of Val66Met in moderating the cognitive response to PA or exercise. Both Val and Met carriers can improve specific aspects of cognition by increasing PA and engaging in exercise. Causes for discrepancies among studies, effect moderators, and future directions are discussed.
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Affiliation(s)
- Bernat de Las Heras
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Lynden Rodrigues
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jacopo Cristini
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Maxana Weiss
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Anna Prats-Puig
- University School of Health and Sport (EUSES), University of Girona, Girona, Catalunya, Spain
| | - Marc Roig
- Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Quebec, Canada.,School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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266
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Alexopoulos A, Bottolo L. Bayesian Variable Selection for Gaussian Copula Regression Models. J Comput Graph Stat 2020; 30:578-593. [PMID: 37051045 PMCID: PMC7614421 DOI: 10.1080/10618600.2020.1840997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
We develop a novel Bayesian method to select important predictors in regression models with multiple responses of diverse types. A sparse Gaussian copula regression model is used to account for the multivariate dependencies between any combination of discrete and/or continuous responses and their association with a set of predictors. We utilize the parameter expansion for data augmentation strategy to construct a Markov chain Monte Carlo algorithm for the estimation of the parameters and the latent variables of the model. Based on a centered parametrization of the Gaussian latent variables, we design a fixed-dimensional proposal distribution to update jointly the latent binary vectors of important predictors and the corresponding non-zero regression coefficients. For Gaussian responses and for outcomes that can be modeled as a dependent version of a Gaussian response, this proposal leads to a Metropolis-Hastings step that allows an efficient exploration of the predictors' model space. The proposed strategy is tested on simulated data and applied to real data sets in which the responses consist of low-intensity counts, binary, ordinal and continuous variables.
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Affiliation(s)
| | - Leonardo Bottolo
- Department of Medical Genetics, University of Cambridge, UK
- The Alan Turing Institute, London, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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267
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Pazoki R, Lin BD, van Eijk KR, Schijven D, de Zwarte S, Guloksuz S, Luykx JJ. Phenome-wide and genome-wide analyses of quality of life in schizophrenia. BJPsych Open 2020; 7:e13. [PMID: 33295273 PMCID: PMC7791571 DOI: 10.1192/bjo.2020.140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Schizophrenia negatively affects quality of life (QoL). A handful of variables from small studies have been reported to influence QoL in patients with schizophrenia, but a study comprehensively dissecting the genetic and non-genetic contributing factors to QoL in these patients is currently lacking. AIMS We adopted a hypothesis-generating approach to assess the phenotypic and genotypic determinants of QoL in schizophrenia. METHOD The study population comprised 1119 patients with a psychotic disorder, 1979 relatives and 586 healthy controls. Using linear regression, we tested >100 independent demographic, cognitive and clinical phenotypes for their association with QoL in patients. We then performed genome-wide association analyses of QoL and examined the association between polygenic risk scores for schizophrenia, major depressive disorder and subjective well-being and QoL. RESULTS We found nine phenotypes to be significantly and independently associated with QoL in patients, the most significant ones being negative (β = -1.17; s.e. 0.05; P = 1 × 10-83; r2 = 38%), depressive (β = -1.07; s.e. 0.05; P = 2 × 10-79; r2 = 36%) and emotional distress (β = -0.09; s.e. 0.01; P = 4 × 10-59, r2 = 25%) symptoms. Schizophrenia and subjective well-being polygenic risk scores, using various P-value thresholds, were significantly and consistently associated with QoL (lowest association P-value = 6.8 × 10-6). Several sensitivity analyses confirmed the results. CONCLUSIONS Various clinical phenotypes of schizophrenia, as well as schizophrenia and subjective well-being polygenic risk scores, are associated with QoL in patients with schizophrenia and their relatives. These may be targeted by clinicians to more easily identify vulnerable patients with schizophrenia for further social and clinical interventions to improve their QoL.
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Affiliation(s)
- Raha Pazoki
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; and Department of Epidemiology, Imperial College London, School of Public Health, UK
| | - Bochao Danae Lin
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kristel R van Eijk
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Dick Schijven
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; and Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sonja de Zwarte
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, The Netherlands; and Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; and Outpatient Second Opinion Clinic, GGNet, Warnsveld, The Netherlands
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268
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Geary DC. Mitochondrial Functions, Cognition, and the Evolution of Intelligence: Reply to Commentaries and Moving Forward. J Intell 2020; 8:E42. [PMID: 33302466 PMCID: PMC7768403 DOI: 10.3390/jintelligence8040042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 11/16/2020] [Accepted: 12/03/2020] [Indexed: 12/24/2022] Open
Abstract
In response to commentaries, I address questions regarding the proposal that general intelligence (g) is a manifestation of the functioning of intramodular and intermodular brain networks undergirded by the efficiency of mitochondrial functioning (Geary 2018). The core issues include the relative contribution of mitochondrial functioning to individual differences in g; studies that can be used to test associated hypotheses; and, the adaptive function of intelligence from an evolutionary perspective. I attempt to address these and related issues, as well as note areas in which other issues remain to be addressed.
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Affiliation(s)
- David C Geary
- Department of Psychological Sciences, Interdisciplinary Neuroscience, University of Missouri, Columbia, MO 65211-2500, USA
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269
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Soler J, Lera-Miguel S, Lázaro L, Calvo R, Ferentinos P, Fañanás L, Fatjó-Vilas M. Familial aggregation analysis of cognitive performance in early-onset bipolar disorder. Eur Child Adolesc Psychiatry 2020; 29:1705-1716. [PMID: 32052174 DOI: 10.1007/s00787-020-01486-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 01/27/2020] [Indexed: 01/03/2023]
Abstract
We analysed the familial aggregation (familiality) of cognitive dimensions and explored their role as liability markers for early-onset bipolar disorder (EOBD). The sample comprised 99 subjects from 26 families, each with an offspring diagnosed with EOBD. Four cognitive dimensions were assessed: reasoning skills; attention and working memory; memory; and executive functions. Their familiality was investigated in the total sample and in a subset of healthy relatives. The intra-family resemblance score (IRS), a family-based index of the similarity of cognitive performance among family members, was calculated. Familiality was detected for the attention and working memory (AW) dimension in the total sample (ICC = 0.37, p = 0.0004) and in the subsample of healthy relatives (ICC = 0.37, p = 0.016). The IRS reflected that there are families with similar AW mean scores (either high or low) and families with heterogeneous scores. Families with the most common background for the AW dimension (IRS > 0) were selected and dichotomized in two groups according to the mean family AW score. This allowed differentiating families whose members had similar high scores than those with similar low scores: both patients (t = - 4.82, p = 0.0005) and relatives (t = - 5.04, p < 0.0001) of the two groups differed in their AW scores. AW dimension showed familial aggregation, suggesting its putative role as a familial vulnerability marker for EOBD. The IRS estimation allowed the identification of families with homogeneous scores for this dimension. This represents a first step towards the investigation of the underlying mechanisms of AW dimension and the identification of etiological subgroups.
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Affiliation(s)
- Jordi Soler
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Luisa Lázaro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Rosa Calvo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
| | - Lourdes Fañanás
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Mar Fatjó-Vilas
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
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270
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Davies RW, Fiksinski AM, Breetvelt EJ, Williams NM, Hooper SR, Monfeuga T, Bassett AS, Owen MJ, Gur RE, Morrow BE, McDonald-McGinn DM, Swillen A, Chow EWC, van den Bree M, Emanuel BS, Vermeesch JR, van Amelsvoort T, Arango C, Armando M, Campbell LE, Cubells JF, Eliez S, Garcia-Minaur S, Gothelf D, Kates WR, Murphy KC, Murphy CM, Murphy DG, Philip N, Repetto GM, Shashi V, Simon TJ, Suñer DH, Vicari S, Scherer SW, Bearden CE, Vorstman JAS. Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 deletion syndrome. Nat Med 2020; 26:1912-1918. [PMID: 33169016 PMCID: PMC7975627 DOI: 10.1038/s41591-020-1103-1] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 09/14/2020] [Indexed: 02/06/2023]
Abstract
The 22q11.2 deletion syndrome (22q11DS) is associated with a 20-25% risk of schizophrenia. In a cohort of 962 individuals with 22q11DS, we examined the shared genetic basis between schizophrenia and schizophrenia-related early trajectory phenotypes: sub-threshold symptoms of psychosis, low baseline intellectual functioning and cognitive decline. We studied the association of these phenotypes with two polygenic scores, derived for schizophrenia and intelligence, and evaluated their use for individual risk prediction in 22q11DS. Polygenic scores were not only associated with schizophrenia and baseline intelligence quotient (IQ), respectively, but schizophrenia polygenic score was also significantly associated with cognitive (verbal IQ) decline and nominally associated with sub-threshold psychosis. Furthermore, in comparing the tail-end deciles of the schizophrenia and IQ polygenic score distributions, 33% versus 9% of individuals with 22q11DS had schizophrenia, and 63% versus 24% of individuals had intellectual disability. Collectively, these data show a shared genetic basis for schizophrenia and schizophrenia-related phenotypes and also highlight the future potential of polygenic scores for risk stratification among individuals with highly, but incompletely, penetrant genetic variants.
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Affiliation(s)
- Robert W Davies
- Program in Genetics and Genome Biology and The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Statistics, University of Oxford, Oxford, UK
| | - Ania M Fiksinski
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Elemi J Breetvelt
- Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nigel M Williams
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Stephen R Hooper
- Department of Allied Health Sciences, School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
| | - Thomas Monfeuga
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Anne S Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Raquel E Gur
- Department of Psychiatry and Lifespan Brain Institute, Penn Medicine-CHOP, University of Pennsylvania, Philadelphia, PA, USA
| | - Bernice E Morrow
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Donna M McDonald-McGinn
- Division of Human Genetics, 22q and You Center, Clinical Genetics Center, and Section of Genetic Counseling, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ann Swillen
- Center for Human Genetics, University Hospital Gasthuisberg, Leuven, Belgium
- Department of Human Genetics KU Leuven, Leuven, Belgium
| | - Eva W C Chow
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Marianne van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Beverly S Emanuel
- Division of Human Genetics, 22q and You Center, Clinical Genetics Center, and Section of Genetic Counseling, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Joris R Vermeesch
- Center for Human Genetics, University Hospital Gasthuisberg, Leuven, Belgium
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Marco Armando
- Developmental Imaging and Psychopathology, Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Linda E Campbell
- School of Psychology, University of Newcastle, Newcastle, Australia
| | - Joseph F Cubells
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
- Emory Autism Center, Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Stephan Eliez
- Developmental Imaging and Psychopathology, Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Sixto Garcia-Minaur
- Institute of Medical and Molecular Genetics (INGEMM), La Paz University Hospital, Madrid, Spain
| | - Doron Gothelf
- The Child Psychiatry Division, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel Hashomer, Israel
- Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Kieran C Murphy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Clodagh M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Nicole Philip
- Département de Génétique Médicale, APHM, CHU Timone Enfants, Marseille, France
- Aix Marseille Université, MMG, INSERM, Marseille, France
| | - Gabriela M Repetto
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Tony J Simon
- MIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Sacramento, CA, USA
| | - Damiàn Heine Suñer
- Genomics of Health Group and Molecular Diagnostics and Clinical Genetics Unit (UDMGC), Health Research Institute of the Balearic Islands (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Stefano Vicari
- Department of Life Sciences and Public Health, Catholic University; Child and Adolescent Psychiatry Unit, Bambino Gesù Children's Hospital, IRCSS, Rome, Italy
| | - Stephen W Scherer
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, Ontario, Canada
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Jacob A S Vorstman
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
- Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, Ontario, Canada.
- Department of Psychiatry, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
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271
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Palmos AB, Duarte RRR, Smeeth DM, Hedges EC, Nixon DF, Thuret S, Powell TR. Telomere length and human hippocampal neurogenesis. Neuropsychopharmacology 2020; 45:2239-2247. [PMID: 32920596 PMCID: PMC7784985 DOI: 10.1038/s41386-020-00863-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/13/2020] [Accepted: 08/17/2020] [Indexed: 12/18/2022]
Abstract
Short telomere length is a risk factor for age-related disease, but it is also associated with reduced hippocampal volumes, age-related cognitive decline and psychiatric disorder risk. The current study explored whether telomere shortening might have an influence on cognitive function and psychiatric disorder pathophysiology, via its hypothesised effects on adult hippocampal neurogenesis. We modelled telomere shortening in human hippocampal progenitor cells in vitro using a serial passaging protocol that mimics the end-replication problem. Serially passaged progenitors demonstrated shorter telomeres (P ≤ 0.05), and reduced rates of cell proliferation (P ≤ 0.001), with no changes in the ability of cells to differentiate into neurons or glia. RNA-sequencing and gene-set enrichment analyses revealed an effect of cell ageing on gene networks related to neurogenesis, telomere maintenance, cell senescence and cytokine production. Downregulated transcripts in our model showed a significant overlap with genes regulating cognitive function (P ≤ 1 × 10-5), and risk for schizophrenia (P ≤ 1 × 10-10) and bipolar disorder (P ≤ 0.005). Collectively, our results suggest that telomere shortening could represent a mechanism that moderates the proliferative capacity of human hippocampal progenitors, which may subsequently impact on human cognitive function and psychiatric disorder pathophysiology.
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Affiliation(s)
- Alish B. Palmos
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rodrigo R. R. Duarte
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
| | - Demelza M. Smeeth
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Erin C. Hedges
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Douglas F. Nixon
- grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
| | - Sandrine Thuret
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Timothy R. Powell
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
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272
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Del Maschio N, Sulpizio S, Abutalebi J. Thinking outside the box: The brain-bilingualism relationship in the light of early neurobiological variability. BRAIN AND LANGUAGE 2020; 211:104879. [PMID: 33080496 DOI: 10.1016/j.bandl.2020.104879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/01/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
Bilingualism represents a distinctive way to investigate the interplay between brain and behaviour, and an elegant model to study the role of environmental factors in shaping this relationship. Past neuroimaging research has mainly focused on how bilingualism influences brain structure, and how eventually the brain accommodates a second language. In this paper, we discuss a more recent contribution to the field which views bilingualism as lens to understand brain-behaviour mappings from a different perspective. It has been shown, in contexts not related to bilingualism, that cognitive performance across several domains can be predicted by neuroanatomical variants determined prenatally and largely impervious to postnatal changes. Here, we discuss novel findings indicating that bilingualism modulates the predictive role of these variants on domain-specific cognition. The repercussions of these findings are potentially far-reaching on multiple levels, and highlight the need to shape more complex questions for progress in cognitive neuroscience approaches to bilingualism.
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Affiliation(s)
- Nicola Del Maschio
- Centre for Neurolinguistics and Psycholinguistics (CNPL), Faculty of Psychology, University Vita-Salute San Raffaele, Milano, Italy
| | - Simone Sulpizio
- Centre for Neurolinguistics and Psycholinguistics (CNPL), Faculty of Psychology, University Vita-Salute San Raffaele, Milano, Italy; Department of Psychology, University of Milano-Bicocca, Milano, Italy
| | - Jubin Abutalebi
- Centre for Neurolinguistics and Psycholinguistics (CNPL), Faculty of Psychology, University Vita-Salute San Raffaele, Milano, Italy; The Arctic University of Norway, Tromsø, Norway.
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273
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Nyberg L, Boraxbekk CJ, Sörman DE, Hansson P, Herlitz A, Kauppi K, Ljungberg JK, Lövheim H, Lundquist A, Adolfsson AN, Oudin A, Pudas S, Rönnlund M, Stiernstedt M, Sundström A, Adolfsson R. Biological and environmental predictors of heterogeneity in neurocognitive ageing: Evidence from Betula and other longitudinal studies. Ageing Res Rev 2020; 64:101184. [PMID: 32992046 DOI: 10.1016/j.arr.2020.101184] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/04/2020] [Accepted: 09/15/2020] [Indexed: 12/15/2022]
Abstract
Individual differences in cognitive performance increase with advancing age, reflecting marked cognitive changes in some individuals along with little or no change in others. Genetic and lifestyle factors are assumed to influence cognitive performance in ageing by affecting the magnitude and extent of age-related brain changes (i.e., brain maintenance or atrophy), as well as the ability to recruit compensatory processes. The purpose of this review is to present findings from the Betula study and other longitudinal studies, with a focus on clarifying the role of key biological and environmental factors assumed to underlie individual differences in brain and cognitive ageing. We discuss the vital importance of sampling, analytic methods, consideration of non-ignorable dropout, and related issues for valid conclusions on factors that influence healthy neurocognitive ageing.
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Affiliation(s)
- Lars Nyberg
- Department of Radiation Sciences, Umeå University, S-90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden.
| | - Carl-Johan Boraxbekk
- Department of Radiation Sciences, Umeå University, S-90187 Umeå, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark; Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Daniel Eriksson Sörman
- Department of Human Work Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Patrik Hansson
- Department of Psychology, Umeå University, S-90187 Umeå, Sweden
| | - Agneta Herlitz
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, S-17177 Stockholm, Sweden
| | - Karolina Kauppi
- Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jessica K Ljungberg
- Department of Human Work Science, Luleå University of Technology, SE-97187 Luleå, Sweden
| | - Hugo Lövheim
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, Umeå, Sweden
| | - Anders Lundquist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Statistics, USBE, Umeå University, 901 87 Umeå, Sweden
| | | | - Anna Oudin
- Department of Public Health and Clinical Medicine, Umeå University, S-90187 Umeå, Sweden; Environment Society and Health, Occupational and Environmental Medicine, Lund University
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden
| | | | - Mikael Stiernstedt
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, S-90187 Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, S-90187 Umeå, Sweden
| | - Anna Sundström
- Department of Psychology, Umeå University, S-90187 Umeå, Sweden; Centre for Demographic and Ageing Research (CEDAR), Umeå University, Umeå, S-90187, Sweden
| | - Rolf Adolfsson
- Department of Clinical Sciences, Umeå University, S-90187 Umeå, Sweden
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274
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Long Noncoding RNA SOX2-OT: Regulations, Functions, and Roles on Mental Illnesses, Cancers, and Diabetic Complications. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2901589. [PMID: 33294436 PMCID: PMC7718063 DOI: 10.1155/2020/2901589] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/09/2020] [Accepted: 11/18/2020] [Indexed: 12/14/2022]
Abstract
SRY-box transcription factor 2 (SOX2) overlapping transcript (SOX2-OT) is an evolutionarily conserved long noncoding RNA. Its intronic region contains the SOX2 gene, the major regulator of the pluripotency of embryonic stem cells. The human SOX2-OT gene comprises multiple exons and has multiple transcription start sites and generates hundreds of transcripts. Transcription factors (IRF4, AR, and SOX3), transcriptional inhibitors (NSPc1, MTA3, and YY1), and miRNAs (miR-211 and miR-375) have been demonstrated to control certain SOX2-OT transcript level at the transcriptional or posttranscriptional levels. Accumulated evidence indicates its crucial roles in the regulation of the SOX2 gene, miRNAs, and transcriptional process. Restricted expression of SOX2-OT transcripts in the brain results in the association between SOX2-OT single nucleotide polymorphisms and mental illnesses such as schizophrenia and anorexia nervosa. SOX2-OT is notably elevated in tumor tissues, and a high level of SOX2-OT is well correlated with poor clinical outcomes in cancer patients, leading to the establishment of its role as an oncogene and a prognostic or diagnostic biomarker for cancers. The emerging evidence supports that SOX2-OT mediates diabetic complications. In summary, SOX2-OT has diversified functions and could be a therapeutic target for various diseases.
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275
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Mohammadnejad A, Nygaard M, Li S, Zhang D, Xu C, Li W, Lund J, Christiansen L, Baumbach J, Christensen K, Hjelmborg JVB, Tan Q. Generalized correlation coefficient for genome-wide association analysis of cognitive ability in twins. Aging (Albany NY) 2020; 12:22457-22494. [PMID: 33232274 PMCID: PMC7746382 DOI: 10.18632/aging.104198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/29/2020] [Indexed: 12/19/2022]
Abstract
Despite a strong genetic background in cognitive function only a limited number of single nucleotide polymorphisms (SNPs) have been found in genome-wide association studies (GWASs). We hypothesize that this is partially due to mis-specified modeling concerning phenotype distribution as well as the relationship between SNP dosage and the level of the phenotype. To overcome these issues, we introduced an assumption-free method based on generalized correlation coefficient (GCC) in a GWAS of cognitive function in Danish and Chinese twins to compare its performance with traditional linear models. The GCC-based GWAS identified two significant SNPs in Danish samples (rs71419535, p = 1.47e-08; rs905838, p = 1.69e-08) and two significant SNPs in Chinese samples (rs2292999, p = 9.27e-10; rs17019635, p = 2.50e-09). In contrast, linear models failed to detect any genome-wide significant SNPs. The number of top significant genes overlapping between the two samples in the GCC-based GWAS was higher than when applying linear models. The GCC model identified significant genetic variants missed by conventional linear models, with more replicated genes and biological pathways related to cognitive function. Moreover, the GCC-based GWAS was robust in handling correlated samples like twin pairs. GCC is a useful statistical method for GWAS that complements traditional linear models for capturing genetic effects beyond the additive assumption.
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Affiliation(s)
- Afsaneh Mohammadnejad
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Shuxia Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China
| | - Chunsheng Xu
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - Weilong Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jesper Lund
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen Ø, Denmark
| | - Jan Baumbach
- Computational Biomedicine, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.,Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jacob V B Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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276
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Comiskey DF, He H, Liyanarachchi S, Sheikh MS, Hendrickson IV, Yu L, Brock PL, de la Chapelle A. Characterizing the function of EPB41L4A in the predisposition to papillary thyroid carcinoma. Sci Rep 2020; 10:19984. [PMID: 33203992 PMCID: PMC7672090 DOI: 10.1038/s41598-020-76606-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 10/20/2020] [Indexed: 12/21/2022] Open
Abstract
Papillary thyroid carcinoma (PTC) is the most common histotype of thyroid carcinoma. The heritability of PTC is high compared to other cancers, but its underlying causes are unknown. A recent genome-wide association study revealed the association of a variant at the 5q22 locus, rs73227498, with PTC predisposition. We report that rs17134155, a variant in high linkage disequilibrium with rs73227498, is located in an enhancer region downstream of coding transcripts of EPB41L4A. Rs17134155 showed significant enhancer activity in luciferase assays, and haplotypes containing the protective allele of this variant conferred a significantly lower risk of PTC. While the index SNP, rs73227498, acted as a significant cis-eQTL for expression of EPB41L4A, rs17134155 was a significant cis-sQTL for the alternative splicing of a non-coding transcript of EPB41L4A, called EPB41L4A-203. We also performed knockdown of EPB41L4A followed by microarray analysis. Some of the top differentially-expressed genes were represented among regulators of the WNT/β-catenin signaling pathway. Our results indicate that an enhancer region at 5q22 regulates the expression and splicing of EPB41L4A transcripts. We also provide evidence that EPB41L4A expression is involved in regulating growth and differentiation pathways, suggesting that decreased expression of EPB41L4A is a mechanism in the predisposition to PTC.
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Affiliation(s)
- Daniel F Comiskey
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA
| | - Huiling He
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA
| | - Sandya Liyanarachchi
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA
| | - Mehek S Sheikh
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA
| | - Isabella V Hendrickson
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA
| | - Lianbo Yu
- Center for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Pamela L Brock
- Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Albert de la Chapelle
- Human Cancer Genetics Program and Department of Cancer Biology and Genetics, Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, 804 Biomedical Research Tower, 460 W 12th Ave., Columbus, OH, 43210, USA.
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277
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Bigdeli TB, Fanous AH, Li Y, Rajeevan N, Sayward F, Genovese G, Gupta R, Radhakrishnan K, Malhotra AK, Sun N, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Cheung KH, Gur RE, Greenwood TA, Braff DL, Achtyes ED, Buckley PF, Escamilla MA, Lehrer D, Malaspina DP, McCarroll SA, Rapaport MH, Vawter MP, Pato MT, Pato CN, Zhao H, Kosten TR, Brophy M, Pyarajan S, Shi Y, O’Leary TJ, Gleason T, Przygodzki R, Muralidhar S, Gaziano JM, Huang GD, Concato J, Siever LJ, Aslan M, Harvey PD. Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Schizophr Bull 2020; 47:517-529. [PMID: 33169155 PMCID: PMC7965063 DOI: 10.1093/schbul/sbaa133] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BIP) are debilitating neuropsychiatric disorders, collectively affecting 2% of the world's population. Recognizing the major impact of these psychiatric disorders on the psychosocial function of more than 200 000 US Veterans, the Department of Veterans Affairs (VA) recently completed genotyping of more than 8000 veterans with SCZ and BIP in the Cooperative Studies Program (CSP) #572. METHODS We performed genome-wide association studies (GWAS) in CSP #572 and benchmarked the predictive value of polygenic risk scores (PRS) constructed from published findings. We combined our results with available summary statistics from several recent GWAS, realizing the largest and most diverse studies of these disorders to date. RESULTS Our primary GWAS uncovered new associations between CHD7 variants and SCZ, and novel BIP associations with variants in Sortilin Related VPS10 Domain Containing Receptor 3 (SORCS3) and downstream of PCDH11X. Combining our results with published summary statistics for SCZ yielded 39 novel susceptibility loci including CRHR1, and we identified 10 additional findings for BIP (28 326 cases and 90 570 controls). PRS trained on published GWAS were significantly associated with case-control status among European American (P < 10-30) and African American (P < .0005) participants in CSP #572. CONCLUSIONS We have demonstrated that published findings for SCZ and BIP are robustly generalizable to a diverse cohort of US veterans. Leveraging available summary statistics from GWAS of global populations, we report 52 new susceptibility loci and improved fine-mapping resolution for dozens of previously reported associations.
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Affiliation(s)
- Tim B Bigdeli
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Ayman H Fanous
- VA New York Harbor Healthcare System, Brooklyn, NY,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Yuli Li
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Nallakkandi Rajeevan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Frederick Sayward
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Rishab Gupta
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Krishnan Radhakrishnan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,College of Medicine, University of Kentucky, Lexington, KY
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY,Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY
| | - Ning Sun
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Qiongshi Lu
- Department of Medicine, Yale School of Medicine, New Haven, CT,Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI
| | - Yiming Hu
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Boyang Li
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Quan Chen
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Shrikant Mane
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Perry Miller
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Kei-Hoi Cheung
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Raquel E Gur
- Departments of Psychiatry and Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA
| | | | - David L Braff
- Department of Psychiatry, University of California, La Jolla, San Diego, CA,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA
| | | | - Eric D Achtyes
- Cherry Health and Michigan State University College of Human Medicine, Grand Rapids, MI
| | - Peter F Buckley
- School of Medicine, Virginia Commonwealth University, Richmond, VA
| | - Michael A Escamilla
- Department of Psychiatry, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX
| | - Douglas Lehrer
- Department of Psychiatry, Wright State University, Dayton, OH
| | - Dolores P Malaspina
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Steven A McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA,Department of Genetics, Harvard Medical School, Boston, MA
| | - Mark H Rapaport
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA
| | - Marquis P Vawter
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Michele T Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | - Carlos N Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
| | | | - Hongyu Zhao
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Thomas R Kosten
- Departments of Psychiatry, Neuroscience, Pharmacology, and Immunology and Rheumatology, Baylor College of Medicine, Houston, TX
| | - Mary Brophy
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Yunling Shi
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA
| | - Timothy J O’Leary
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Theresa Gleason
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Ronald Przygodzki
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - J Michael Gaziano
- Massachusetts Area Veterans Epidemiology, Research, and Information Center (MAVERIC), Jamaica Plain, MA,Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | | | - Grant D Huang
- Office of Research and Development, Veterans Health Administration, Washington, DC
| | - John Concato
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Larry J Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY,University of Miami Miller School of Medicine, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Mihaela Aslan
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT,Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Philip D Harvey
- Research Service Bruce W. Carter VA Medical Center, Miami, FL,Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL,To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Suite 1450 Miami, FL 33136, USA; tel: (305)-243-4094, fax: (305)-243-1619, e-mail:
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278
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Han B, Chen H, Yao Y, Liu X, Nie C, Min J, Zeng Y, Lutz MW. Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition. Sci Rep 2020; 10:19140. [PMID: 33154391 PMCID: PMC7645680 DOI: 10.1038/s41598-020-75446-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/12/2020] [Indexed: 12/14/2022] Open
Abstract
In this study, we split 2156 individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) data into two groups, establishing a phenotype of exceptional longevity & normal cognition versus cognitive impairment. We conducted a genome-wide association study (GWAS) to identify significant genetic variants and biological pathways that are associated with cognitive impairment and used these results to construct polygenic risk scores. We elucidated the important and robust factors, both genetic and non-genetic, in predicting the phenotype, using several machine learning models. The GWAS identified 28 significant SNPs at p-value [Formula: see text] significance level and we pinpointed four genes, ESR1, PHB, RYR3, GRIK2, that are associated with the phenotype though immunological systems, brain function, metabolic pathways, inflammation and diet in the CLHLS cohort. Using both genetic and non-genetic factors, four machine learning models have close prediction results for the phenotype measured in Area Under the Curve: random forest (0.782), XGBoost (0.781), support vector machine with linear kernel (0.780), and [Formula: see text] penalized logistic regression (0.780). The top four important and congruent features in predicting the phenotype identified by these four models are: polygenic risk score, sex, age, and education.
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Affiliation(s)
- Bin Han
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - Huashuai Chen
- Center for the Study of Aging and Human Development, Medical School of Duke University, Durham, NC, USA
- Business School of Xiangtan University, Xiangtan, China
| | - Yao Yao
- Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China
| | - Xiaomin Liu
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
- BGI-Shenzhen, Shenzhen, China
| | - Chao Nie
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
- BGI-Shenzhen, Shenzhen, China
| | - Junxia Min
- The First Affiliated Hospital, Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Zeng
- Center for the Study of Aging and Human Development, Medical School of Duke University, Durham, NC, USA.
- Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China.
| | - Michael W Lutz
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA.
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279
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Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun 2020; 2:fcaa176. [PMID: 33345186 PMCID: PMC7734441 DOI: 10.1093/braincomms/fcaa176] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/16/2020] [Accepted: 07/17/2020] [Indexed: 01/04/2023] Open
Abstract
Brain-derived neurotrophic factor (BDNF) plays an important role in brain development and function. Substantial amounts of BDNF are present in peripheral blood, and may serve as biomarkers for Alzheimer’s disease incidence as well as targets for intervention to reduce Alzheimer’s disease risk. With the exception of the genetic polymorphism in the BDNF gene, Val66Met, which has been extensively studied with regard to neurodegenerative diseases, the genetic variation that influences circulating BDNF levels is unknown. We aimed to explore the genetic determinants of circulating BDNF levels in order to clarify its mechanistic involvement in brain structure and function and Alzheimer’s disease pathophysiology in middle-aged and old adults. Thus, we conducted a meta-analysis of genome-wide association study of circulating BDNF in 11 785 middle- and old-aged individuals of European ancestry from the Age, Gene/Environment Susceptibility-Reykjavik Study (AGES), the Framingham Heart Study (FHS), the Rotterdam Study and the Study of Health in Pomerania (SHIP-Trend). Furthermore, we performed functional annotation analysis and related the genetic polymorphism influencing circulating BDNF to common Alzheimer’s disease pathologies from brain autopsies. Mendelian randomization was conducted to examine the possible causal role of circulating BDNF levels with various phenotypes including cognitive function, stroke, diabetes, cardiovascular disease, physical activity and diet patterns. Gene interaction networks analysis was also performed. The estimated heritability of BDNF levels was 30% (standard error = 0.0246, P-value = 4 × 10−48). We identified seven novel independent loci mapped near the BDNF gene and in BRD3, CSRNP1, KDELC2, RUNX1 (two single-nucleotide polymorphisms) and BDNF-AS. The expression of BDNF was associated with neurofibrillary tangles in brain tissues from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP). Seven additional genes (ACAT1, ATM, NPAT, WDR48, TTC21A, SCN114 and COX7B) were identified through expression and protein quantitative trait loci analyses. Mendelian randomization analyses indicated a potential causal role of BDNF in cardioembolism. Lastly, Ingenuity Pathway Analysis placed circulating BDNF levels in four major networks. Our study provides novel insights into genes and molecular pathways associated with circulating BDNF levels and highlights the possible involvement of plaque instability as an underlying mechanism linking BDNF with brain neurodegeneration. These findings provide a foundation for a better understanding of BDNF regulation and function in the context of brain aging and neurodegenerative pathophysiology.
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Affiliation(s)
- Shuo Li
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Galit Weinstein
- School of Public Health, University of Haifa, Haifa 3498838, Israel
| | - Habil Zare
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, TX, USA.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, 78229 TX, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Germany.,DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Uwe Völker
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.,Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Germany
| | - Maria J Knol
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, 78229 TX, USA.,Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX 78229, USA.,The Framingham Study, Framingham, MA 01702, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | | | - Hieab H H Adams
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam 3015 CN, The Netherlands
| | - Lenore J Launer
- Department of Health and Human Services, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - David A Bennett
- Department of Neurology, Rush University Medical Center, Chicago, IL 60612, USA.,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Philip L De Jager
- Department of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY 10032, USA.,Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany.,German Center for Neurodegererative Diseases (DZNE), Rostock/Greifswald, Germany
| | - M Arfan Ikram
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands
| | - Vilmundur Gudnason
- Faculty of Medicine, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland.,Icelandic Heart Association, 201 Kopavogur, Iceland
| | - Qiong Yang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, 78229 TX, USA.,The Framingham Study, Framingham, MA 01702, USA.,Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
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280
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Kwok MK, Schooling CM. Herpes simplex virus and Alzheimer's disease: a Mendelian randomization study. Neurobiol Aging 2020; 99:101.e11-101.e13. [PMID: 33139072 DOI: 10.1016/j.neurobiolaging.2020.09.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 09/07/2020] [Accepted: 09/30/2020] [Indexed: 10/23/2022]
Abstract
This study assessed if any herpes simplex virus (HSV) infection was a genetically valid target for late-onset Alzheimer's disease (AD) using 2-sample Mendelian randomization. We applied strong (p-value <5×10-6) and independent (r2 < 0.05) genetic variants for any HSV infection (n = 450,581) to genome wide association studies of cognitive function (n = 300,486), and late-onset AD (n = 455,258) to obtain estimates. Genetically predicted log odds of any HSV infection was not associated with cognitive function (mean difference 0.0004 per any HSV infection, 95% confidence interval (CI) -0.001 to 0.001), or late-onset AD (odds ratio (OR) 0.999, 95% CI 0.998-1.001). Different genetic variant selections produced similar results. Any HSV infection does not appear to be a genetically valid target of intervention in late-onset AD, suggesting a rethink of the relevance of any HSV infection to late-onset AD.
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Affiliation(s)
- Man Ki Kwok
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Catherine Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; City University of New York Graduate School of Public Health and Health Policy, New York, United States.
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281
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Tabano S, Caldiroli A, Terrasi A, Colapietro P, Grassi S, Carnevali GS, Fontana L, Serati M, Vaira V, Altamura AC, Miozzo M, Buoli M. A miRNome analysis of drug-free manic psychotic bipolar patients versus healthy controls. Eur Arch Psychiatry Clin Neurosci 2020; 270:893-900. [PMID: 31422452 DOI: 10.1007/s00406-019-01057-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 08/07/2019] [Indexed: 12/11/2022]
Abstract
The lifetime presence of psychotic symptoms is associated with more clinical severity, poorer outcome and biological changes in patients affected by bipolar disorder (BD). Epigenetic mechanisms have been evoked to explain the onset of psychotic symptoms in BD as well as the associated biological changes. The main objective of the present study was to evaluate the expression profiles of circulating microRNAs (miRNAs) in drug-free manic psychotic bipolar patients versus healthy controls (HC), to identify possible non-invasive molecular markers of the disorder. 15 drug-free manic psychotic bipolar patients and 9 HC were enrolled and 800 miRNAs expression profile was measured by Nanostring nCounter technology on plasma samples and validated through qPCR. Overall, twelve miRNAs showed a significantly altered expression between the two groups (p < 0.05). Functional annotation of predicted miRNAs targets by MultiMIR R tool showed repression in bipolar patients of genes with a role in neurodevelopment and neurogenesis, and upregulation of genes involved in metabolism regulation. We identified a signature of circulating miRNA characteristic of manic psychotic bipolar patients, suggesting a possible role in neurodevelopment and metabolic processes regulation.
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Affiliation(s)
- Silvia Tabano
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
| | - Alice Caldiroli
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy.
| | - Andrea Terrasi
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Università degli Studi di Milano, Milan, Italy
| | - Patrizia Colapietro
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
| | - Silvia Grassi
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
| | - Greta Silvia Carnevali
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
| | - Laura Fontana
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
| | - Marta Serati
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
| | - Valentina Vaira
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Università degli Studi di Milano, Milan, Italy
| | - A Carlo Altamura
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
| | - Monica Miozzo
- Department of Pathophysiology and Transplantation, Medical Genetics, Università degli Studi di Milano, Milan, Italy
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Università degli Studi di Milano, Milan, Italy
| | - Massimiliano Buoli
- Department of Psychiatry, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
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282
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Tesi N, van der Lee SJ, Hulsman M, Jansen IE, Stringa N, van Schoor NM, Scheltens P, van der Flier WM, Huisman M, Reinders MJT, Holstege H. Immune response and endocytosis pathways are associated with the resilience against Alzheimer's disease. Transl Psychiatry 2020; 10:332. [PMID: 32994401 PMCID: PMC7524800 DOI: 10.1038/s41398-020-01018-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 07/14/2020] [Accepted: 07/15/2020] [Indexed: 12/13/2022] Open
Abstract
Developing Alzheimer's disease (AD) is influenced by multiple genetic variants that are involved in five major AD-pathways. Per individual, these pathways may differentially contribute to the modification of the AD-risk. The pathways involved in the resilience against AD have thus far been poorly addressed. Here, we investigated to what extent each molecular mechanism associates with (i) the increased risk of AD and (ii) the resilience against AD until extreme old age, by comparing pathway-specific polygenic risk scores (pathway-PRS). We used 29 genetic variants associated with AD to develop pathway-PRS for five major pathways involved in AD. We developed an integrative framework that allows multiple genes to associate with a variant, and multiple pathways to associate with a gene. We studied pathway-PRS in the Amsterdam Dementia Cohort of well-phenotyped AD patients (N = 1895), Dutch population controls from the Longitudinal Aging Study Amsterdam (N = 1654) and our unique 100-plus Study cohort of cognitively healthy centenarians who avoided AD (N = 293). Last, we estimated the contribution of each pathway to the genetic risk of AD in the general population. All pathway-PRS significantly associated with increased AD-risk and (in the opposite direction) with resilience against AD (except for angiogenesis, p < 0.05). The pathway that contributed most to the overall modulation of AD-risk was β-amyloid metabolism (29.6%), which was driven mainly by APOE-variants. After excluding APOE variants, all pathway-PRS associated with increased AD-risk (except for angiogenesis, p < 0.05), while specifically immune response (p = 0.003) and endocytosis (p = 0.0003) associated with resilience against AD. Indeed, the variants in these latter two pathways became the main contributors to the overall modulation of genetic risk of AD (45.5% and 19.2%, respectively). The genetic variants associated with the resilience against AD indicate which pathways are involved with maintained cognitive functioning until extreme ages. Our work suggests that a favorable immune response and a maintained endocytosis pathway might be involved in general neuro-protection, which highlight the need to investigate these pathways, next to β-amyloid metabolism.
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Affiliation(s)
- Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marc Hulsman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Najada Stringa
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands.
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands.
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283
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Cosgrove D, Whitton L, Fahey L, Ó Broin P, Donohoe G, Morris DW. Genes influenced by MEF2C contribute to neurodevelopmental disease via gene expression changes that affect multiple types of cortical excitatory neurons. Hum Mol Genet 2020; 30:961-970. [PMID: 32975584 DOI: 10.1093/hmg/ddaa213] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 07/31/2020] [Accepted: 07/31/2020] [Indexed: 12/19/2022] Open
Abstract
Myocyte enhancer factor 2 C (MEF2C) is an important transcription factor during neurodevelopment. Mutation or deletion of MEF2C causes intellectual disability (ID), and common variants within MEF2C are associated with cognitive function and schizophrenia risk. We investigated if genes influenced by MEF2C during neurodevelopment are enriched for genes associated with neurodevelopmental phenotypes and if this can be leveraged to identify biological mechanisms and individual brain cell types affected. We used a set of 1055 genes that were differentially expressed in the adult mouse brain following early embryonic deletion of Mef2c in excitatory cortical neurons. Using genome-wide association studies data, we found these differentially expressed genes (DEGs) to be enriched for genes associated with schizophrenia, intelligence and educational attainment but not autism spectrum disorder (ASD). For this gene set, genes that overlap with target genes of the Fragile X mental retardation protein (FMRP) are a major driver of these enrichments. Using trios data, we found these DEGs to be enriched for genes containing de novo mutations reported in ASD and ID, but not schizophrenia. Using single-cell RNA sequencing data, we identified that a number of different excitatory glutamatergic neurons in the cortex were enriched for these DEGs including deep layer pyramidal cells and cells in the retrosplenial cortex, entorhinal cortex and subiculum, and these cell types are also enriched for FMRP target genes. The involvement of MEF2C and FMRP in synapse elimination suggests that disruption of this process in these cell types during neurodevelopment contributes to cognitive function and risk of neurodevelopmental disorders.
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Affiliation(s)
- Donna Cosgrove
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging, Cognition and Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway H91CF50, Ireland
| | - Laura Whitton
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging, Cognition and Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway H91CF50, Ireland
| | - Laura Fahey
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging, Cognition and Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway H91CF50, Ireland.,School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, Galway H91CF50, Ireland
| | - Pilib Ó Broin
- School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, Galway H91CF50, Ireland
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging, Cognition and Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway H91CF50, Ireland
| | - Derek W Morris
- Cognitive Genetics and Cognitive Therapy Group, Centre for Neuroimaging, Cognition and Genomics, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway H91CF50, Ireland
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284
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Hofer E, Roshchupkin GV, Adams HHH, Knol MJ, Lin H, Li S, Zare H, Ahmad S, Armstrong NJ, Satizabal CL, Bernard M, Bis JC, Gillespie NA, Luciano M, Mishra A, Scholz M, Teumer A, Xia R, Jian X, Mosley TH, Saba Y, Pirpamer L, Seiler S, Becker JT, Carmichael O, Rotter JI, Psaty BM, Lopez OL, Amin N, van der Lee SJ, Yang Q, Himali JJ, Maillard P, Beiser AS, DeCarli C, Karama S, Lewis L, Harris M, Bastin ME, Deary IJ, Veronica Witte A, Beyer F, Loeffler M, Mather KA, Schofield PR, Thalamuthu A, Kwok JB, Wright MJ, Ames D, Trollor J, Jiang J, Brodaty H, Wen W, Vernooij MW, Hofman A, Uitterlinden AG, Niessen WJ, Wittfeld K, Bülow R, Völker U, Pausova Z, Bruce Pike G, Maingault S, Crivello F, Tzourio C, Amouyel P, Mazoyer B, Neale MC, Franz CE, Lyons MJ, Panizzon MS, Andreassen OA, Dale AM, Logue M, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Stein JL, Thompson PM, Medland SE, Sachdev PS, Kremen WS, Wardlaw JM, Villringer A, van Duijn CM, Grabe HJ, Longstreth WT, Fornage M, Paus T, Debette S, Ikram MA, Schmidt H, Schmidt R, Seshadri S. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nat Commun 2020; 11:4796. [PMID: 32963231 PMCID: PMC7508833 DOI: 10.1038/s41467-020-18367-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 08/20/2020] [Indexed: 12/22/2022] Open
Abstract
Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
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Affiliation(s)
- Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Gennady V Roshchupkin
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Hieab H H Adams
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Habil Zare
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, USA
- Department of Cell Systems & Anatomy, The University of Texas Health Science Center, San Antonio, TX, USA
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | | | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Michelle Luciano
- Centre for Cognitive Epidemiology and Cognitive Ageing, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Aniket Mishra
- University of Bordeaux, Bordeaux Population Health Research Center, INSERM UMR 1219, Bordeaux, France
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Rui Xia
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xueqiu Jian
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yasaman Saba
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Lukas Pirpamer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stephan Seiler
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology, University of California-Davis, Davis, CA, USA
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - James T Becker
- Departments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA
| | - Oscar L Lopez
- Departments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jayandra J Himali
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Pauline Maillard
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology, University of California-Davis, Davis, CA, USA
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Charles DeCarli
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology, University of California-Davis, Davis, CA, USA
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | - Sherif Karama
- McGill University, Montreal Neurological Institute, Montreal, QC, Canada
| | - Lindsay Lewis
- McGill University, Montreal Neurological Institute, Montreal, QC, Canada
| | - Mat Harris
- Centre for Cognitive Epidemiology and Cognitive Ageing, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Centre for Cognitive Epidemiology and Cognitive Ageing, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Epidemiology and Cognitive Ageing, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 Obesity Mechanisms, University of Leipzig, Leipzig, Germany
| | - Frauke Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 Obesity Mechanisms, University of Leipzig, Leipzig, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - John B Kwok
- School of Medical Sciences, University of New South Wales, Sydney, Australia
- Brain and Mind Centre - The University of Sydney, Camperdown, NSW, Australia
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, Australia
| | - David Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Parkvill, VIC, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George's Hospital, Kew, VIC, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Zdenka Pausova
- Hospital for Sick Children, Toronto, ON, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - G Bruce Pike
- Departments of Radiology and Clinial Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Sophie Maingault
- Institut des Maladies Neurodégénratives UMR5293, CEA, CNRS, University of Bordeaux, Bordeaux, France
| | - Fabrice Crivello
- Institut des Maladies Neurodégénratives UMR5293, CEA, CNRS, University of Bordeaux, Bordeaux, France
| | - Christophe Tzourio
- University of Bordeaux, Bordeaux Population Health Research Center, INSERM UMR 1219, Bordeaux, France
- Pole de santé publique, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Philippe Amouyel
- Centre Hospitalier Universitaire de Bordeaux, France; Inserm U1167, Lille, France
- Department of Epidemiology and Public Health, Pasteur Institute of Lille, Lille, France
- Department of Public Health, Lille University Hospital, Lille, France
| | - Bernard Mazoyer
- Institut des Maladies Neurodégénratives UMR5293, CEA, CNRS, University of Bordeaux, Bordeaux, France
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anders M Dale
- Departments of Radiology and Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Mark Logue
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Center for PTSD at Boston VA Healthcare System, Boston, MA, USA
- Department of Psychiatry and Department of Medicine-Biomedical Genetics Section, Boston University School of Medicine, Boston, MA, USA
| | - Katrina L Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jodie N Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Janita Bralten
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Neuroscience Biomarkers, Janssen Research and Development, LLC, San Diego, CA, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jason L Stein
- Department of Genetics & UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Joanna M Wardlaw
- Centre for Cognitive Epidemiology and Cognitive Ageing, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Day Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hans J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - William T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Stephanie Debette
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- University of Bordeaux, Bordeaux Population Health Research Center, INSERM UMR 1219, Bordeaux, France
- CHU de Bordeaux, Department of Neurology, F-33000, Bordeaux, France
| | - M Arfan Ikram
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
| | - Helena Schmidt
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, USA.
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
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285
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Fedorenko OY, Ivanova SA. [A new look at the genetics of neurocognitive deficits in schizophrenia]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:183-192. [PMID: 32929943 DOI: 10.17116/jnevro2020120081183] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The article presents current literature data on genetic studies of neurocognitive deficit in schizophrenia, including the genes of neurotransmitter systems (dopaminergic, glutamatergic, and serotonergic); genes analyzed in genome-wide association studies (GWAS), as well as other genetic factors related to the pathophysiological mechanisms underlying schizophrenia and neurocognitive disorders.
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Affiliation(s)
- O Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,National Research Tomsk Polytechnic University, Tomsk, Russia
| | - S A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,National Research Tomsk Polytechnic University, Tomsk, Russia
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286
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Andrews SJ, McFall GP, Booth A, Dixon RA, Anstey KJ. Association of Alzheimer's Disease Genetic Risk Loci with Cognitive Performance and Decline: A Systematic Review. J Alzheimers Dis 2020; 69:1109-1136. [PMID: 31156182 DOI: 10.3233/jad-190342] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The association of Apolipoprotein E (APOE) with late-onset Alzheimer's disease (LOAD) and cognitive endophenotypes of aging has been widely investigated. There is increasing interest in evaluating the association of other LOAD risk loci with cognitive performance and decline. The results of these studies have been inconsistent and inconclusive. We conducted a systematic review of studies investigating the association of non-APOE LOAD risk loci with cognitive performance in older adults. Studies published from January 2009 to April 2018 were identified through a PubMed database search using keywords and by scanning reference lists. Studies were included if they were either cross-sectional or longitudinal in design, included at least one genome-wide significant LOAD risk loci or a genetic risk score, and had one objective measure of cognition. Quality assessment of the studies was conducted using the quality of genetic studies (Q-Genie) tool. Of 2,466 studies reviewed, 49 met inclusion criteria. Fifteen percent of the associations between non-APOE LOAD risk loci and cognition were significant. However, these associations were not replicated across studies, and the majority were rendered non-significant when adjusting for multiple testing. One-third of the studies included genetic risk scores, and these were typically significant only when APOE was included. The findings of this systematic review do not support a consistent association between individual non-APOE LOAD risk and cognitive performance or decline. However, evidence suggests that aggregate LOAD genetic risk exerts deleterious effects on decline in episodic memory and global cognition.
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Affiliation(s)
- Shea J Andrews
- Ronald M. Loeb Center for Alzheimer's disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Andrew Booth
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Roger A Dixon
- Department of Psychology, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Kaarin J Anstey
- UNSW Ageing Futures Institute, University of New South Wales, Australia.,School of Psychology, University of New South Wales, Australia.,Neuroscience Research Australia, Australia
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287
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Dunn AR, Hadad N, Neuner SM, Zhang JG, Philip VM, Dumitrescu L, Hohman TJ, Herskowitz JH, O’Connell KMS, Kaczorowski CC. Identifying Mechanisms of Normal Cognitive Aging Using a Novel Mouse Genetic Reference Panel. Front Cell Dev Biol 2020; 8:562662. [PMID: 33042997 PMCID: PMC7517308 DOI: 10.3389/fcell.2020.562662] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/17/2020] [Indexed: 12/18/2022] Open
Abstract
Developing strategies to maintain cognitive health is critical to quality of life during aging. The basis of healthy cognitive aging is poorly understood; thus, it is difficult to predict who will have normal cognition later in life. Individuals may have higher baseline functioning (cognitive reserve) and others may maintain or even improve with age (cognitive resilience). Understanding the mechanisms underlying cognitive reserve and resilience may hold the key to new therapeutic strategies for maintaining cognitive health. However, reserve and resilience have been inconsistently defined in human studies. Additionally, our understanding of the molecular and cellular bases of these phenomena is poor, compounded by a lack of longitudinal molecular and cognitive data that fully capture the dynamic trajectories of cognitive aging. Here, we used a genetically diverse mouse population (B6-BXDs) to characterize individual differences in cognitive abilities in adulthood and investigate evidence of cognitive reserve and/or resilience in middle-aged mice. We tested cognitive function at two ages (6 months and 14 months) using y-maze and contextual fear conditioning. We observed heritable variation in performance on these traits (h 2 RIx̄ = 0.51-0.74), suggesting moderate to strong genetic control depending on the cognitive domain. Due to the polygenetic nature of cognitive function, we did not find QTLs significantly associated with y-maze, contextual fear acquisition (CFA) or memory, or decline in cognitive function at the genome-wide level. To more precisely interrogate the molecular regulation of variation in these traits, we employed RNA-seq and identified gene networks related to transcription/translation, cellular metabolism, and neuronal function that were associated with working memory, contextual fear memory, and cognitive decline. Using this method, we nominate the Trio gene as a modulator of working memory ability. Finally, we propose a conceptual framework for identifying strains exhibiting cognitive reserve and/or resilience to assess whether these traits can be observed in middle-aged B6-BXDs. Though we found that earlier cognitive reserve evident early in life protects against cognitive impairment later in life, cognitive performance and age-related decline fell along a continuum, with no clear genotypes emerging as exemplars of exceptional reserve or resilience - leading to recommendations for future use of aging mouse populations to understand the nature of cognitive reserve and resilience.
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Affiliation(s)
- Amy R. Dunn
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Niran Hadad
- The Jackson Laboratory, Bar Harbor, ME, United States
| | - Sarah M. Neuner
- The Jackson Laboratory, Bar Harbor, ME, United States
- Department of Anatomy and Neurobiology, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Ji-Gang Zhang
- The Jackson Laboratory, Bar Harbor, ME, United States
| | | | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center and Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center and Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jeremy H. Herskowitz
- Center for Neurodegeneration and Experimental Therapeutics and Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, United States
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288
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Whole genome sequencing of elite athletes. Biol Sport 2020; 37:295-304. [PMID: 32879552 PMCID: PMC7433326 DOI: 10.5114/biolsport.2020.96272] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 05/26/2020] [Accepted: 06/01/2020] [Indexed: 12/11/2022] Open
Abstract
Whole genome sequencing (WGS) has great potential to explore all possible DNA variants associated with physical performance, psychological traits and health conditions of athletes. Here we present, for the first time, annotation of genomic variants of elite athletes, based on the WGS of 20 Tatar male wrestlers. The maximum number of high-quality variants per sample was over 3.8 M for single nucleotide polymorphisms (SNPs) and about 0.64 M for indels. The maximum number of nonsense mutations was 148 single nucleotide variants (SNVs) per individual. Athletes' genomes on average contained 18.9 nonsense SNPs in a homozygous state per sample, while non-athletes' exomes (Tatar controls, n = 19) contained 18 nonsense SNPs. Finally, we applied genomic data for the association analysis and used reaction time (RT) as an example. Out of 1884 known genome-wide significant SNPs related to RT, we identified four SNPs (KIF27 rs10125715, APC rs518013, TMEM229A rs7783359, LRRN3 rs80054135) associated with RT in wrestlers. The cumulative number of favourable alleles (KIF27 A, APC A, TMEM229A T, LRRN3 T) was significantly correlated with RT both in wrestlers (P = 0.0003) and an independent cohort (n = 43) of physically active subjects (P = 0.029). Furthermore, we found that the frequencies of the APC A (53.3 vs 44.0%, P = 0.033) and LRRN3 T (7.5 vs 2.8%, P = 0.009) alleles were significantly higher in elite athletes (n = 107) involved in sports with RT as an essential component of performance (combat sports, table tennis and volleyball) compared to less successful (n = 176) athletes. The LRRN3 T allele was also over-represented in elite athletes (7.5%) in comparison with 189 controls (2.9%, P = 0.009). In conclusion, we present the first WGS study of athletes showing that WGS can be applied in sport and exercise science.
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289
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Harvey PD, Horan WP, Atkins AS, Stevens H, Welch M, Yuan J, Patterson TL, Narasimhan M, Keefe RS. Factor structure of cognitive performance and functional capacity in schizophrenia: Evidence for differences across functional capacity measures. Schizophr Res 2020; 223:297-304. [PMID: 32928621 PMCID: PMC7704623 DOI: 10.1016/j.schres.2020.08.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/11/2020] [Accepted: 08/15/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Cognition and functional capacity predict functional outcomes in mental illness. Traditional approaches conceptualize cognition as comprised of domains, but many studies support a unifactorial structure. Some functional capacity measures may share a single-factor structure with cognition. In this study, we examined the factor structure of two measures of functional capacity, a conventional assessment and a newer computerized assessment, testing for a shared factor structure with cognition. METHODS Patients with schizophrenia and healthy controls were examined with the MATRICS Consensus Cognitive Battery (MCCB), the UCSD Performance Based Skills Assessment (UPSA), and the Virtual Reality Functional Capacity Assessment Tool (VRFCAT). Models of the factor structures of the MCCB, UPSA, and VRFCAT were calculated, as were correlations between MCCB scores and individual VRFCAT objectives. RESULTS The MCCB, VRFCAT, and UPSA all had unifactorial structures. The best fitting model of the correlations between MCCB and UPSA was a shared single factor, while the best fit for the relationship between MCCB and VRFCAT had two factors. Correlations between the MCCB domain and composite scores and the VRFCAT objectives suggested global rather than specific patterns of correlation. DISCUSSION The relationship between cognitive performance and functional capacity was found to vary across functional capacity assessments. The UPSA and MCCB were not differentiated into separate factors, suggesting that the UPSA may overlap with neurocognitive performance. However, the VRFCAT appears to measure functional abilities that are separable from, yet correlated with, neurocognitive performance. It may provide a more distinctive assessment of the functional capacity construct.
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Affiliation(s)
- Philip D. Harvey
- University of Miami Miller School of Medicine, Research Service Bruce W. Cater VA Medical Center, Miami, FL
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290
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Mustafin RN, Kazantseva AV, Malykh SB, Khusnutdinova EK. Genetic Mechanisms of Cognitive Development. RUSS J GENET+ 2020. [DOI: 10.1134/s102279542007011x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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291
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Non-verbal IQ Gains from Relational Operant Training Explain Variance in Educational Attainment: An Active-Controlled Feasibility Study. JOURNAL OF COGNITIVE ENHANCEMENT 2020. [DOI: 10.1007/s41465-020-00187-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
AbstractResearch suggests that training relational operant patterns of behavior can lead to increases in general cognitive ability and educational outcomes. Most studies to date have been under-powered and included proxy measures of educational attainment. We attempted to extend previous findings with increased experimental control in younger children (aged 6.9–10.1 years). Participants (N = 49) were assigned to either a relational training or chess control group. Over 5 months, teachers assigned class time to complete either relational training or play chess. Those who were assigned relational training gained 8.9 non-verbal IQ (NVIQ) points, while those in the control condition recorded no gains (dppc2 = .99). Regression analyses revealed that post-training NVIQ predicted reading test scores (conducted approximately 1 month later) over and above baseline NVIQ in the experimental condition only, consistent with what we might expect in a full test of far transfer towards educational outcomes.
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292
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Rabensteiner J, Hofer E, Fauler G, Fritz-Petrin E, Benke T, Dal-Bianco P, Ransmayr G, Schmidt R, Herrmann M. The impact of folate and vitamin B12 status on cognitive function and brain atrophy in healthy elderly and demented Austrians, a retrospective cohort study. Aging (Albany NY) 2020; 12:15478-15491. [PMID: 32706338 PMCID: PMC7467363 DOI: 10.18632/aging.103714] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Dementia, and in particular Alzheimer's disease (AD), is a debilitating progressive disease with high prevalence in our society. Vitamin B12 and folate deficiency are potential modifiable risk factors. However, previous studies reported inconsistent results. RESULTS The average concentrations of all biochemical markers were within the respective reference ranges. Cross-sectional and longitudinal analyses did not reveal significant associations between biochemical markers and cognitive function, global or regional brain volume, cortical thickness or cortical surface area, neither in controls nor in AD patients. CONCLUSIONS Variations of direct and indirect markers of B12 and folate status are not associated with cognitive dysfunction and brain atrophy. METHODS This retrospective study explored the association between biochemical markers of B12 and folate status, cognitive function and MRI-based brain atrophy in cognitive normal elderly (controls) and AD patients. Folate, total and active vitamin B12 and MMA were measured in blood samples from 378 controls and 217 AD patients. Neuropsychiatric tests capturing memory, executive function and visuopractical skills were performed in all participants. Brain atrophy was assessed by MRI in 155 controls and 217 AD patients. In a subset of participants cognitive testing (n=234) and MRI (n=182) was repeated after an average median between 1.25 and 6.25 years.
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Affiliation(s)
- Jasmin Rabensteiner
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Graz, Austria
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria
| | - Günter Fauler
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Graz, Austria
| | - Eva Fritz-Petrin
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Graz, Austria
| | - Thomas Benke
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Peter Dal-Bianco
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gerhard Ransmayr
- Department of Neurology 2, Med Campus III, Faculty of Medicine, Johannes Kepler University, Kepler University Hospital, Linz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Austria
| | - Markus Herrmann
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Graz, Austria
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293
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Jian X, Sofer T, Tarraf W, Bressler J, Faul JD, Zhao W, Ratliff SM, Lamar M, Launer LJ, Laurie CC, Schneiderman N, Weir DR, Wright CB, Yaffe K, Zeng D, DeCarli C, Mosley TH, Smith JA, González HM, Fornage M. Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos. Transl Psychiatry 2020; 10:245. [PMID: 32699239 PMCID: PMC7376098 DOI: 10.1038/s41398-020-00930-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 06/19/2020] [Accepted: 07/03/2020] [Indexed: 12/13/2022] Open
Abstract
Cognitive function such as reasoning, attention, memory, and language is strongly correlated with brain aging. Compared to non-Hispanic whites, Hispanics/Latinos have a higher risk of cognitive impairment and dementia. The genetic determinants of cognitive function have not been widely explored in this diverse and admixed population. We conducted a genome-wide association analysis of cognitive function in up to 7600 middle aged and older Hispanics/Latinos (mean = 55 years) from the Hispanic Community Health Study / Study of Latinos (HCHS/SOL). Four cognitive measures were examined: the Brief Spanish English Verbal Learning Test (B-SEVLT), the Word Fluency Test (WFT), the Digit Symbol Substitution Test (DSST), the Six-Item Screener (SIS). Four novel loci were identified: one for B-SEVLT at 4p14, two for WFT at 3p14.1 and 6p21.32, and one for DSST at 10p13. These loci implicate genes highly expressed in brain and previously connected to neurological diseases (UBE2K, FRMD4B, the HLA gene complex). By applying tissue-specific gene expression prediction models to our genotype data, additional genes highly expressed in brain showed suggestive associations with cognitive measures possibly indicating novel biological mechanisms, including IFT122 in the hippocampus for SIS, SNX31 in the basal ganglia for B-SEVLT, RPS6KB2 in the frontal cortex for WFT, and CSPG5 in the hypothalamus for DSST. These findings provide new information about the genetic determinants of cognitive function in this unique population. In addition, we derived a measure of general cognitive function based on these cognitive tests and generated genome-wide association summary results, providing a resource to the research community for comparison, replication, and meta-analysis in future genetic studies in Hispanics/Latinos.
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Affiliation(s)
- Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Tamar Sofer
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wassim Tarraf
- Institute of Gerontology and Department of Health Care Sciences, Wayne State University, Detroit, MI, USA
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences and Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Scott M Ratliff
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Melissa Lamar
- Department of Behavioral Sciences, Rush Medical College, Chicago, IL, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA
| | - Neil Schneiderman
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Clinton B Wright
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Charles DeCarli
- Department of Neurology, School of Medicine and Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California, Davis, Sacramento, CA, USA
| | - Thomas H Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center and Department of Medicine, The University of Mississippi Medical Center, Jackson, MS, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hector M González
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, University of California, San Diego, La Jolla, CA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Department of Epidemiology, Human Genetics and Environmental Sciences and Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
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294
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Kataoka Y, Shimada T, Koide Y, Okubo H, Uehara T, Shioiri T, Kawasaki Y, Ohi K. Differences in executive function among patients with schizophrenia, their unaffected first-degree relatives and healthy participants. Int J Neuropsychopharmacol 2020; 23:pyaa052. [PMID: 32692837 PMCID: PMC7745249 DOI: 10.1093/ijnp/pyaa052] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/26/2020] [Accepted: 07/15/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Patients with schizophrenia (SCZ) display impaired executive functions compared with healthy controls (HCs). Furthermore, unaffected first-degree relatives (FRs) of patients with SCZ independently perform worse executive functions than do HCs. However, few studies have investigated the differences in executive functions assessed among patients with SCZ, FRs, and HCs, and the findings are inconsistent. METHODS We investigated diagnostic differences in executive functions, namely, (i) numbers of categories achieved (CA), (ii) total errors (TE) and (iii) %perseverative errors of Nelson types (%PEN), using the Wisconsin card sorting test (WCST) among patients with SCZ (n=116), unaffected FRs (n=62) and HCs (n=146) at a single institute. Correlations between these executive functions and clinical variables were investigated. RESULTS Significant differences existed in all executive functions among diagnostic groups (CA, F2,319=15.5, p=3.71×10-7; TE, F2,319=16.2, p=2.06×10-7; and %PEN, F2,319=21.3, p=2.15×10-9). Patients with SCZ had fewer CA and more TE and %PEN than those of HCs (CA, Cohen's d=-0.70, p=5.49×10-8; TE, d=0.70, p=5.62×10-8; and %PEN, d=0.82, p=2.85×10-10) and FRs (TE, d=0.46, p=3.73×10-3 and %PEN, d=0.38, p=0.017). Of the three executive functions, CA and %PEN of FRs were intermediately impaired between patients with SCZ and HCs (CA, d=-0.41, p=0.011 and %PEN, d=0.41, p=0.012). In contrast, no significant difference in TE existed between FRs and HCs (d=0.22, p=0.18). Although CA and TE were affected by the duration of illness (p<0.017), %PEN was not affected by any clinical variable in patients with SCZ (p>0.017). CONCLUSIONS Executive function, particularly %PEN, could be a useful intermediate phenotype for understanding the genetic mechanisms implicated in SCZ pathophysiology.
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Affiliation(s)
- Yuzuru Kataoka
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Takamitsu Shimada
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Yoko Koide
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Hiroaki Okubo
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Takashi Uehara
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Toshiki Shioiri
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yasuhiro Kawasaki
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Kazutaka Ohi
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
- Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan
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295
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Richardson K. Polygenic scores are an even bigger social hazard: Commentary on: Baverstock, K. (2019) polygenic scores: Are they a public health hazard? Progress in Biophysics and Molecular Biology. Available online 6 August 2019. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2020; 153:13-16. [PMID: 31887314 DOI: 10.1016/j.pbiomolbio.2019.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 12/16/2019] [Accepted: 12/18/2019] [Indexed: 06/10/2023]
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296
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Zheng Q, Ma Y, Chen S, Che Q, Zhou Z, Chen D. Identification of genetic loci jointly influencing coronary artery disease risk and sleep traits of insomnia, sleep duration, and chronotype. Sleep Med 2020; 74:116-123. [PMID: 32846279 DOI: 10.1016/j.sleep.2020.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 05/17/2020] [Accepted: 06/21/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Accumulating evidence suggests a relationship between coronary artery disease (CAD) and sleep problems. Our study is aimed to investigate the shared genetic loci underlying this phenotypic association. METHODS Combining summary statistics from different genome-wide association studies, we investigated overlap in single-nucleotide polymorphisms (SNPs) associated with CAD and sleep traits (insomnia symptoms, sleep duration, and chronotype) using conditional/conjunctional false discovery rate (condFDR/conjFDR) approach. Relevant variants are further evaluated for differential expression analysis, expression quantitative trait locus (eQTL) functionality, and gene ontology (GO) enrichment analysis. RESULTS We observed substantial genetic enrichment in CAD condition on associations with sleep traits, which indicating polygenic overlap. Using conjFDR analysis, 26 loci jointly influencing CAD and sleep traits were identified. One locus was shared between CAD and sleep duration and represented the strongest shared signal detected (closest gene, MSL2; chromosome 3q22.3; conjFDR = 1.77 × 10-4). A consistent direction of allelic effect was observed between CAD and insomnia symptoms, while bi-directional effects were recognized between CAD, sleep duration, and chronotype. Replicable eQTL functionality was further identified for two loci: rs28398825 for FCHO1 in the frontal cortex and blood tissue, and rs8072451 for LRRC37A and its duplicate LRRC37A2 in several brain regions and blood tissue. GO analysis of the loci shared between CAD and sleep traits implicated cellular component related to synapse. CONCLUSIONS Our findings provide new insight into the relationship between CAD and sleep traits. The mechanisms underlying these associations warrant further investigation.
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Affiliation(s)
- Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Yujia Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Si Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Qianzi Che
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Zechen Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
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297
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Zhang L, Li B, Yang J, Wang F, Tang Q, Wang S. Meta-analysis: Resistance Training Improves Cognition in Mild Cognitive Impairment. Int J Sports Med 2020; 41:815-823. [PMID: 32599643 DOI: 10.1055/a-1186-1272] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AbstractThis study investigated the benefits of resistance training on cognition in patients with mild cognitive impairment. We searched the PubMed, Embase and Cochrane Library databases, and seven randomized controlled trials were reviewed. We evaluated the risk of bias using the Cochrane Collaboration’s bias assessment tool. Standard mean differences with 95% confidence intervals were calculated for statistical analysis. This meta-analysis assessed three variables: general cognitive function, executive function and working memory. The results indicate that general cognitive function improved significantly (standardized mean difference: 0.53, P=0.04), and further subgroup analyses on frequency and duration per session showed that the subgroups ‘twice a week’ (P=0.01) and ‘duration per session >60 min’ (P=0.0006) exhibited better performance than the subgroups ‘three time a week’ (P=0.47) and ‘duration per session <60 min’ (P=0.53). Additionally, a moderate effect size was found in executive function (standardized mean difference: 0.50, P=0.0003), and there was non-significant effect in working memory (P=0.14). In summary, resistance training may mitigate mild cognitive impairment by improving cognition. Larger-scale studies are recommended to demonstrate the relationship between resistance training and cognition in mild cognitive impairment.
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Affiliation(s)
- Lulu Zhang
- Xiangya Hospital, Central South University, Changsha, China
- Xiangya Nursing School, Central South University, Changsha, China
| | - Bin Li
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital Central South University, Changsha, China
| | - Jingjing Yang
- Xiangya Hospital, Central South University, Changsha, China
| | - Fengling Wang
- Xiangya Hospital, Central South University, Changsha, China
| | - Qianyun Tang
- Xiangya Hospital, Central South University, Changsha, China
| | - Shuhong Wang
- Xiangya Hospital, Central South University, Changsha, China
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298
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The Mitochondrial Theory of g Is Incompatible with Genetic Evidence and Does Not Explain Statistical Phenomena. J Intell 2020; 8:jintelligence8030027. [PMID: 32605270 PMCID: PMC7555250 DOI: 10.3390/jintelligence8030027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/18/2020] [Accepted: 06/22/2020] [Indexed: 12/19/2022] Open
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299
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Microexons: at the nexus of nervous system development, behaviour and autism spectrum disorder. Curr Opin Genet Dev 2020; 65:22-33. [PMID: 32535349 DOI: 10.1016/j.gde.2020.03.007] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 03/30/2020] [Indexed: 12/19/2022]
Abstract
The discovery and characterization of a network of highly conserved neuronal microexons has provided fundamental new insight into mechanisms underlying nervous system development and function, as well as an important basis for pathway convergence in autism spectrum disorder. In the past few years, considerable progress has been made in comprehensively determining the repertoires of factors that control neuronal microexons. These results have illuminated molecular mechanisms that activate the splicing of microexons, including those that control gene expression programs critical for neurogenesis, as well as synaptic protein translation and neuronal activity. Remarkably, individual disruption of specific microexons in these pathways results in autism-like phenotypes and cognitive impairment in mice. This review discusses these findings and their implications for delivering new therapeutic strategies for neurological disorders.
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300
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Integration analysis of methylation quantitative trait loci and GWAS identify three schizophrenia risk variants. Neuropsychopharmacology 2020; 45:1179-1187. [PMID: 31910432 PMCID: PMC7235211 DOI: 10.1038/s41386-020-0605-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/31/2019] [Indexed: 12/20/2022]
Abstract
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with schizophrenia (SCZ). However, prioritizing risk variants and regulatory elements for follow-up functional studies remains a major challenge. Therefore, we performed an integrated analysis to identify variants who affect methylation levels of nearby genes and contribute to the risk of SCZ, and to explore the potential role of these variants in SCZ pathogenesis. First, we used the Summary data-based Mendelian Randomization (SMR) method to integrate GWAS and methylation quantitative trait loci data. Then, the SNP-methylation combinations as associated with SCZ were replicated across multiple samples. Totally, we identified and replicated 14 and one SNP-methylation combinations in blood and brain tissues, respectively, that significantly associated with SCZ. Furthermore, our expression quantitative trait loci analysis, differential methylation analysis, neuroimaging genetics, and cognitive genetics analysis consistently supported the potential roles of these 15 SNPs in the pathogenesis of SCZ. Finally, using the convergent functional genomics method, we prioritized three risk SNPs, including rs3765971 (RERE, PSMR = 3.87 × 10-8), rs55742290 (ARL6IP4, PSMR = 1.50 × 10-7), and rs7293091 (CENPM, PSMR = 5.09 × 10-7), may represent promising risk variants in SCZ. These convergent lines of evidence suggest that three risk variants may be involved in the pathogenesis of SCZ. Further investigation of the roles of these variants in the pathogenesis of SCZ is warranted.
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