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Shoham N, Dunca D, Cooper C, Hayes JF, McQuillin A, Bass N, Lewis G, Kuchenbaecker K. Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study - CORRIGENDUM. BJPsych Open 2024; 10:e73. [PMID: 38563245 PMCID: PMC10988597 DOI: 10.1192/bjo.2023.556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
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2
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Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA, Koen N, Lin K, Adams MJ, Rentería ME, Feng Y, Gaziano JM, Stein DJ, Zar HJ, Campbell ML, van Heel DA, Trivedi B, Finer S, McQuillin A, Bass N, Chundru VK, Martin HC, Huang QQ, Valkovskaya M, Chu CY, Kanjira S, Kuo PH, Chen HC, Tsai SJ, Liu YL, Kendler KS, Peterson RE, Cai N, Fang Y, Sen S, Scott LJ, Burmeister M, Loos RJF, Preuss MH, Actkins KV, Davis LK, Uddin M, Wani AH, Wildman DE, Aiello AE, Ursano RJ, Kessler RC, Kanai M, Okada Y, Sakaue S, Rabinowitz JA, Maher BS, Uhl G, Eaton W, Cruz-Fuentes CS, Martinez-Levy GA, Campos AI, Millwood IY, Chen Z, Li L, Wassertheil-Smoller S, Jiang Y, Tian C, Martin NG, Mitchell BL, Byrne EM, Awasthi S, Coleman JRI, Ripke S, Sofer T, Walters RG, McIntosh AM, Polimanti R, Dunn EC, Stein MB, Gelernter J, Lewis CM, Kuchenbaecker K. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nat Genet 2024; 56:222-233. [PMID: 38177345 PMCID: PMC10864182 DOI: 10.1038/s41588-023-01596-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/26/2023] [Indexed: 01/06/2024]
Abstract
Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
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Affiliation(s)
| | | | | | - Daniel F Levey
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Gita A Pathak
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nastassja Koen
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - J Michael Gaziano
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Heather J Zar
- SAMRC Unit on Child and Adolescent Health, Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
| | - Megan L Campbell
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Bhavi Trivedi
- Blizard Institute, Queen Mary University of London, London, UK
| | - Sarah Finer
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | - Nick Bass
- Division of Psychiatry, UCL, London, UK
| | | | | | | | | | | | - Susan Kanjira
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Po-Hsiu Kuo
- Department of Public Health and Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Institute of Brain Science and Division of Psychiatry, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Li Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | | | - Roseann E Peterson
- Department of Psychiatry, VCU, Richmond, VA, USA
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Na Cai
- Helmholtz Pioneer Campus, Helmholtz Munich, Neuherberg, Germany
- Computational Health Centre, Helmholtz Munich, Neuherberg, Germany
- Department of Medicine, Technical University of Munich, Munich, Germany
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Srijan Sen
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Laura J Scott
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Margit Burmeister
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ky'Era V Actkins
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lea K Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Monica Uddin
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Agaz H Wani
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Allison E Aiello
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - George Uhl
- Neurology and Pharmacology, University of Maryland, Maryland VA Healthcare System, Baltimore, MD, USA
| | - William Eaton
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carlos S Cruz-Fuentes
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Gabriela A Martinez-Levy
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Adrian I Campos
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | | | - Yunxuan Jiang
- Department of Biostatistics, Emory University, Atlanta, GA, USA
- 23andMe, Inc., Mountain View, CA, USA
| | - Chao Tian
- 23andMe, Inc., Mountain View, CA, USA
| | - Nicholas G Martin
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Enda M Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Swapnil Awasthi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Jonathan R I Coleman
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute for Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Renato Polimanti
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare Center, West Haven, CT, USA
| | - Erin C Dunn
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Murray B Stein
- Department of Psychiatry, UC San Diego School of Medicine, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Cathryn M Lewis
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
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3
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Wang B, Irizar H, Thygesen JH, Zartaloudi E, Austin-Zimmerman I, Bhat A, Harju-Seppänen J, Pain O, Bass N, Gkofa V, Alizadeh BZ, van Amelsvoort T, Arranz MJ, Bender S, Cahn W, Stella Calafato M, Crespo-Facorro B, Di Forti M, Giegling I, de Haan L, Hall J, Hall MH, van Haren N, Iyegbe C, Kahn RS, Kravariti E, Lawrie SM, Lin K, Luykx JJ, Mata I, McDonald C, McIntosh AM, Murray RM, Picchioni M, Powell J, Prata DP, Rujescu D, Rutten BPF, Shaikh M, Simons CJP, Toulopoulou T, Weisbrod M, van Winkel R, Kuchenbaecker K, McQuillin A, Bramon E. Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis. Schizophr Bull 2023; 49:1625-1636. [PMID: 37582581 PMCID: PMC10686343 DOI: 10.1093/schbul/sbad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
BACKGROUND AND HYPOTHESIS Endophenotypes can help to bridge the gap between psychosis and its genetic predispositions, but their underlying mechanisms remain largely unknown. This study aims to identify biological mechanisms that are relevant to the endophenotypes for psychosis, by partitioning polygenic risk scores into specific gene sets and testing their associations with endophenotypes. STUDY DESIGN We computed polygenic risk scores for schizophrenia and bipolar disorder restricted to brain-related gene sets retrieved from public databases and previous publications. Three hundred and seventy-eight gene-set-specific polygenic risk scores were generated for 4506 participants. Seven endophenotypes were also measured in the sample. Linear mixed-effects models were fitted to test associations between each endophenotype and each gene-set-specific polygenic risk score. STUDY RESULTS After correction for multiple testing, we found that a reduced P300 amplitude was associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set (mean difference per SD increase in the polygenic risk score: -1.15 µV; 95% CI: -1.70 to -0.59 µV; P = 6 × 10-5). The schizophrenia polygenic risk score of forebrain regionalization also explained more variance of the P300 amplitude (R2 = 0.032) than other polygenic risk scores, including the genome-wide polygenic risk scores. CONCLUSIONS Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models.
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Affiliation(s)
- Baihan Wang
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Haritz Irizar
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Johan H Thygesen
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Eirini Zartaloudi
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Isabelle Austin-Zimmerman
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anjali Bhat
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Jasmine Harju-Seppänen
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Oliver Pain
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Nick Bass
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Vasiliki Gkofa
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Behrooz Z Alizadeh
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Groningen, The Netherlands
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maria J Arranz
- Fundació Docència i Recerca Mutua Terrassa, Terrassa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Institut de Recerca Biomédica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Stephan Bender
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Wiepke Cahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Altrecht, General Mental Health Care, Utrecht, The Netherlands
| | - Maria Stella Calafato
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Benedicto Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Sevilla, Spain
- Department of Psychiatry, University Hospital Virgen del Rocio, School of Medicine, University of Sevilla–IBiS, Sevilla, Spain
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Ina Giegling
- Comprehensive Centers for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Arkin, Institute for Mental Health, Amsterdam, The Netherlands
| | - Jeremy Hall
- Neuroscience and Mental Health Innovation Institute, School of Medicine, Cardiff University, Hadyn Ellis Building, Mandy Road, Cardiff, UK
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - Neeltje van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia’s Children Hospital, Rotterdam, The Netherlands
| | - Conrad Iyegbe
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eugenia Kravariti
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ignacio Mata
- Fundacion Argibide, Pamplona, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
| | - Colm McDonald
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, University of Galway, Galway, Ireland
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Robin M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | | | - Marco Picchioni
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- St Magnus Hospital, Surrey, UK
| | - John Powell
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Diana P Prata
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciencias da Universidade de Lisboa, Portugal
| | - Dan Rujescu
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Division of General Psychiatry, Medical University of Vienna, Austria
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Madiha Shaikh
- North East London Foundation Trust, London, UK
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Claudia J P Simons
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- GGzE Institute for Mental Health Care, Eindhoven, The Netherlands
| | - Timothea Toulopoulou
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Interdisciplinary Program in Neuroscience, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Türkiye
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Türkiye
- Department of Psychology, Bilkent University, Ankara, Türkiye
- School of Medicine, Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Matthias Weisbrod
- Department of General Psychiatry, Center of Psychosocial Medicine, University of Heidelberg, Germany
- SRH Klinikum, Karlsbad-Langensteinbach, Germany
| | - Ruud van Winkel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
- KU Leuven, Department of Neuroscience, Research Group Psychiatry, Leuven, Belgium
| | - Karoline Kuchenbaecker
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, UK
| | - Andrew McQuillin
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
| | - Elvira Bramon
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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4
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Yao K, van der Veen T, Thygesen J, Bass N, McQuillin A. Multiple psychiatric polygenic risk scores predict associations between childhood adversity and bipolar disorder. J Affect Disord 2023; 341:137-146. [PMID: 37643680 DOI: 10.1016/j.jad.2023.08.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 08/17/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND It remains unclear how adverse childhood experiences (ACE) and increased genetic risk for bipolar disorder (BD) interact to influence BD symptom outcomes. Here we calculated multiple psychiatric polygenic risk scores (PRS) and used the measures of ACE to understand these gene-environment interactions. METHOD 885 BD subjects were included for analyses. BD, ADHD, MDD and SCZ PRSs were calculated using the PRS-CS-auto method. ACEs were evaluated using the Children Life Event Questionnaire (CLEQ). Participants were divided into groups based on the presence of ACE and the total number of ACEs. The associations between total ACE number, PRSs and their interactions were evaluated using multiple linear and logistic regressions. Secondary analyses were performed to evaluate the influence of ACE and PRS on sub-phenotypes of BD. RESULTS The number of ACEs increased with the ADHD PRS. BD participants who had ACEs showed an earlier age of BD onset and higher odds of having rapid cycling. Increased BD PRS was associated with increased odds of developing psychotic symptoms. Higher ADHD PRS was associated with increased odds of having rapid cycling. No prediction effect was observed from MDD and SCZ PRS. And, we found no significant interaction between ACE numbers and any of the PRSs in predicting any selected BD sub-phenotypes. LIMITATIONS The study was limited by sample size, ACE definition, and cross-sectional data collection method. CONCLUSIONS The findings consolidate the importance of considering multiple psychiatric PRSs in predicting symptom outcomes among BD patients.
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Affiliation(s)
- Kai Yao
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Tracey van der Veen
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Johan Thygesen
- Institute of Health Informatics, University College London, UK
| | - Nick Bass
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK.
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5
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Shoham N, Dunca D, Cooper C, Hayes JF, McQuillin A, Bass N, Lewis G, Kuchenbaecker K. Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study. BJPsych Open 2023; 9:e33. [PMID: 36746515 PMCID: PMC9970182 DOI: 10.1192/bjo.2023.6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Increased rates of visual impairment are observed in people with schizophrenia. AIMS We assessed whether genetically predicted poor distance acuity is causally associated with schizophrenia, and whether genetically predicted schizophrenia is causally associated with poorer visual acuity. METHOD We used bidirectional, two-sample Mendelian randomisation to assess the effect of poor distance acuity on schizophrenia risk, poorer visual acuity on schizophrenia risk and schizophrenia on visual acuity, in European and East Asian ancestry samples ranging from approximately 14 000 to 500 000 participants. Genetic instrumental variables were obtained from the largest available summary statistics: for schizophrenia, from the Psychiatric Genomics Consortium; for visual acuity, from the UK Biobank; and for poor distance acuity, from a meta-analysis of case-control samples. We used the inverse variance-weighted method and sensitivity analyses to test validity of results. RESULTS We found little evidence that poor distance acuity was causally associated with schizophrenia (odds ratio 1.00, 95% CI 0.91-1.10). Genetically predicted schizophrenia was associated with poorer visual acuity (mean difference in logMAR score: 0.024, 95% CI 0.014-0.033) in European ancestry samples, with a similar but less precise effect that in smaller East Asian ancestry samples (mean difference: 0.186, 95% CI -0.008 to 0.379). CONCLUSIONS Genetic evidence supports schizophrenia being a causal risk factor for poorer visual acuity, but not the converse. This highlights the importance of visual care for people with psychosis and refutes previous hypotheses that visual impairment is a potential target for prevention of schizophrenia.
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Affiliation(s)
- Natalie Shoham
- Division of Psychiatry, University College London, UK; and Islington Early Intervention Service, Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
- Correspondence: Natalie Shoham.
| | - Diana Dunca
- UCL Genetics Institute, University College London, UK
| | - Claudia Cooper
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, UK; and Tower Hamlets Memory Service, East London NHS Foundation Trust, London, UK
| | - Joseph F. Hayes
- Division of Psychiatry, University College London, UK; and Camden and Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | | | - Nick Bass
- Division of Psychiatry, University College London, UK; and Tower Hamlets Memory Service, East London NHS Foundation Trust, London, UK
| | - Gemma Lewis
- Division of Psychiatry, University College London, UK
| | - Karoline Kuchenbaecker
- Division of Psychiatry, University College London, UK; and UCL Genetics Institute, University College London, UK
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6
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Poppe M, Duffy L, Marchant NL, Barber JA, Hunter R, Bass N, Minihane AM, Walters K, Higgs P, Rapaport P, Lang IA, Morgan-Trimmer S, Huntley J, Walker Z, Brodaty H, Kales HC, Ritchie K, Burton A, Wenborn J, Betz A, Cooper C. The APPLE Tree programme: Active Prevention in People at risk of dementia through Lifestyle, bEhaviour change and Technology to build REsiliEnce-randomised controlled trial. Trials 2022; 23:596. [PMID: 35883143 PMCID: PMC9315085 DOI: 10.1186/s13063-022-06557-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 07/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Large-scale trials of multidomain interventions show that modifying lifestyle and psychological risk factors can slow cognitive decline. We aim to determine if a lower intensity, personally tailored secondary dementia prevention programme for older people with subjective or mild objective memory decline, informed by behaviour change theory, reduces cognitive decline over 2 years. METHODS A multi-site, single-blind randomised controlled trial recruiting 704 older adults at high dementia risk due to mild cognitive impairment (MCI) or subjective cognitive decline (SCD). Participants are randomised using 1:1 allocation ratio to the APPLE Tree intervention versus control arm (dementia prevention information), stratified by site. The intervention explores and implements strategies to promote healthy lifestyle, increase pleasurable activities and social connections and improve long-term condition self-management. Two facilitators trained and supervised by a clinical psychologist deliver ten, 1-h group video call sessions over 6 months (approximately every fortnight), video-call 'tea breaks' (less structured, facilitated social sessions) in intervening weeks and individual goal-setting phone calls every 2 weeks. From 6 to 12 months, participants meet monthly for 'tea breaks', with those not attending receiving monthly goal-setting phone calls. Participants receive a food delivery, pedometer and website access to cognitive training and information about lifestyle modification. Follow-ups for all outcome measures are at 12 and 24 months. The primary outcome is cognition (Neuropsychological Test Battery (NTB) score) at 24 months. Secondary outcomes are quality of life, cost per quality-adjusted life year (QALY) and wellbeing and lifestyle factors the intervention targets (diet, vascular risk, body weight, activity, sleep, anxiety, depression, social networks and loneliness, alcohol intake and smoking). Participants from purposively selected sites participate in qualitative process evaluation interviews, which will be analysed using thematic analytic methods. DISCUSSION If effective, the intervention design, involving remote delivery and non-clinical facilitators, would facilitate intervention roll-out to older people with memory concerns. TRIAL REGISTRATION ISRCTN17325135 . Registration date 27 November 2019.
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Affiliation(s)
- M Poppe
- UCL Division of Psychiatry, University College London, London, UK
| | - L Duffy
- UCL Division of Psychiatry, University College London, London, UK
| | - N L Marchant
- UCL Division of Psychiatry, University College London, London, UK
| | - J A Barber
- Department of Statistical Science, University College London, London, UK
| | - R Hunter
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - N Bass
- UCL Division of Psychiatry, University College London, London, UK
| | - A M Minihane
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - K Walters
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - P Higgs
- UCL Division of Psychiatry, University College London, London, UK
| | - P Rapaport
- UCL Division of Psychiatry, University College London, London, UK
| | - I A Lang
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - S Morgan-Trimmer
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - J Huntley
- UCL Division of Psychiatry, University College London, London, UK
| | - Z Walker
- UCL Division of Psychiatry, University College London, London, UK
| | - H Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - H C Kales
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, USA
| | - K Ritchie
- Institut de Neurosciences de Montpellier (INM), Montpellier, France
| | - A Burton
- Department of Behavioural Science and Health, University College London, London, UK
| | - J Wenborn
- UCL Division of Psychiatry, University College London, London, UK
| | - A Betz
- Queen Mary University London, Centre for Psychiatry and Mental Health, Wolfson Institute for Population Health, London, UK
| | - C Cooper
- Queen Mary University London, Centre for Psychiatry and Mental Health, Wolfson Institute for Population Health, London, UK.
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7
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Giannakopoulou O, Lin K, Meng X, Su MH, Kuo PH, Peterson RE, Awasthi S, Moscati A, Coleman JRI, Bass N, Millwood IY, Chen Y, Chen Z, Chen HC, Lu ML, Huang MC, Chen CH, Stahl EA, Loos RJF, Mullins N, Ursano RJ, Kessler RC, Stein MB, Sen S, Scott LJ, Burmeister M, Fang Y, Tyrrell J, Jiang Y, Tian C, McIntosh AM, Ripke S, Dunn EC, Kendler KS, Walters RG, Lewis CM, Kuchenbaecker K. The Genetic Architecture of Depression in Individuals of East Asian Ancestry: A Genome-Wide Association Study. JAMA Psychiatry 2021; 78:1258-1269. [PMID: 34586374 PMCID: PMC8482304 DOI: 10.1001/jamapsychiatry.2021.2099] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023]
Abstract
Importance Most previous genome-wide association studies (GWAS) of depression have used data from individuals of European descent. This limits the understanding of the underlying biology of depression and raises questions about the transferability of findings between populations. Objective To investigate the genetics of depression among individuals of East Asian and European descent living in different geographic locations, and with different outcome definitions for depression. Design, Setting, and Participants Genome-wide association analyses followed by meta-analysis, which included data from 9 cohort and case-control data sets comprising individuals with depression and control individuals of East Asian descent. This study was conducted between January 2019 and May 2021. Exposures Associations of genetic variants with depression risk were assessed using generalized linear mixed models and logistic regression. The results were combined across studies using fixed-effects meta-analyses. These were subsequently also meta-analyzed with the largest published GWAS for depression among individuals of European descent. Additional meta-analyses were carried out separately by outcome definition (clinical depression vs symptom-based depression) and region (East Asian countries vs Western countries) for East Asian ancestry cohorts. Main Outcomes and Measures Depression status was defined based on health records and self-report questionnaires. Results There were a total of 194 548 study participants (approximate mean age, 51.3 years; 62.8% women). Participants included 15 771 individuals with depression and 178 777 control individuals of East Asian descent. Five novel associations were identified, including 1 in the meta-analysis for broad depression among those of East Asian descent: rs4656484 (β = -0.018, SE = 0.003, P = 4.43x10-8) at 1q24.1. Another locus at 7p21.2 was associated in a meta-analysis restricted to geographically East Asian studies (β = 0.028, SE = 0.005, P = 6.48x10-9 for rs10240457). The lead variants of these 2 novel loci were not associated with depression risk in European ancestry cohorts (β = -0.003, SE = 0.005, P = .53 for rs4656484 and β = -0.005, SE = 0.004, P = .28 for rs10240457). Only 11% of depression loci previously identified in individuals of European descent reached nominal significance levels in the individuals of East Asian descent. The transancestry genetic correlation between cohorts of East Asian and European descent for clinical depression was r = 0.413 (SE = 0.159). Clinical depression risk was negatively genetically correlated with body mass index in individuals of East Asian descent (r = -0.212, SE = 0.084), contrary to findings for individuals of European descent. Conclusions and Relevance These results support caution against generalizing findings about depression risk factors across populations and highlight the need to increase the ancestral and geographic diversity of samples with consistent phenotyping.
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Affiliation(s)
- Olga Giannakopoulou
- Division of Psychiatry, University College of London, London, United Kingdom
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Xiangrui Meng
- Division of Psychiatry, University College of London, London, United Kingdom
| | - Mei-Hsin Su
- Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Roseann E. Peterson
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jonathan R. I. Coleman
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, King’s College London, London, United Kingdom
| | - Nick Bass
- Division of Psychiatry, University College of London, London, United Kingdom
| | - Iona Y. Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, Wan-Fang Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ming-Chyi Huang
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, Wan-Fang Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Eli A. Stahl
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Niamh Mullins
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert J. Ursano
- Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | | | | | - Srijan Sen
- Michigan Neuroscience Institute, Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Laura J. Scott
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Margit Burmeister
- Molecular & Behavioral Neuroscience Institute, Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan
| | - Jess Tyrrell
- University of Exeter Medical School, University of Exeter, The RILD Building, RD&E Hospital, Exeter, United Kingdom
| | | | | | - Andrew M. McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Erin C. Dunn
- Harvard Medical School, Boston, Massachusetts
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Kenneth S. Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Robin G. Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Cathryn M. Lewis
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, King’s College London, London, United Kingdom
| | - Karoline Kuchenbaecker
- Division of Psychiatry, University College of London, London, United Kingdom
- UCL Genetics Institute, University College of London, London, United Kingdom
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8
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Palpatzis E, Bass N, Jones R, Mukadam N. Longitudinal association of apolipoprotein E and sleep with incident dementia. Alzheimers Dement 2021; 18:888-898. [PMID: 34477303 DOI: 10.1002/alz.12439] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/01/2021] [Accepted: 07/05/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Few longitudinal studies have explored the association between apolipoprotein E gene (APOE) status, sleep disturbances, and incident dementia among middle-aged participants. METHODS Cox regression analyses explored the association of sleep duration, insomnia, and daytime napping with incident all-cause dementia and their interaction with APOE genetic risk among 397,777 middle-aged adults. RESULTS During a median of 10.8 years follow-up, sleeping more or fewer than 7 hours was associated with a higher dementia risk (hazard ratio [HR] for 5 vs 7 hours: 1.35, 95% confidence interval [CI] 1.11-1.64; HR for 9 vs 7 hours: 1.59; 95% CI 1.37-1.85) as was daytime napping (HR for often/all of the time vs never/rarely: 1.67; 95% CI 1.37-2.03). Stratified analyses revealed that the effects of sleep disturbances were similar across all APOE genetic risk groups. DISCUSSION Short and long sleep duration and daytime napping in middle-aged individuals are associated with the development of dementia in later life. Sleep duration and quality are important for everyone regardless of their genetic risk by APOE genotype.
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Affiliation(s)
- Eleni Palpatzis
- Division of Psychiatry, University College London, London, UK
| | - Nick Bass
- Division of Psychiatry, University College London, London, UK
| | - Rebecca Jones
- Division of Psychiatry, University College London, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK.,Camden and Islington NHS Foundation trust, London, UK
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9
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Hannon E, Dempster EL, Mansell G, Burrage J, Bass N, Bohlken MM, Corvin A, Curtis CJ, Dempster D, Di Forti M, Dinan TG, Donohoe G, Gaughran F, Gill M, Gillespie A, Gunasinghe C, Hulshoff HE, Hultman CM, Johansson V, Kahn RS, Kaprio J, Kenis G, Kowalec K, MacCabe J, McDonald C, McQuillin A, Morris DW, Murphy KC, Mustard CJ, Nenadic I, O'Donovan MC, Quattrone D, Richards AL, Rutten BPF, St Clair D, Therman S, Toulopoulou T, Van Os J, Waddington JL, Sullivan P, Vassos E, Breen G, Collier DA, Murray RM, Schalkwyk LS, Mill J. DNA methylation meta-analysis reveals cellular alterations in psychosis and markers of treatment-resistant schizophrenia. eLife 2021; 10:e58430. [PMID: 33646943 PMCID: PMC8009672 DOI: 10.7554/elife.58430] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 02/23/2021] [Indexed: 12/30/2022] Open
Abstract
We performed a systematic analysis of blood DNA methylation profiles from 4483 participants from seven independent cohorts identifying differentially methylated positions (DMPs) associated with psychosis, schizophrenia, and treatment-resistant schizophrenia. Psychosis cases were characterized by significant differences in measures of blood cell proportions and elevated smoking exposure derived from the DNA methylation data, with the largest differences seen in treatment-resistant schizophrenia patients. We implemented a stringent pipeline to meta-analyze epigenome-wide association study (EWAS) results across datasets, identifying 95 DMPs associated with psychosis and 1048 DMPs associated with schizophrenia, with evidence of colocalization to regions nominated by genetic association studies of disease. Many schizophrenia-associated DNA methylation differences were only present in patients with treatment-resistant schizophrenia, potentially reflecting exposure to the atypical antipsychotic clozapine. Our results highlight how DNA methylation data can be leveraged to identify physiological (e.g., differential cell counts) and environmental (e.g., smoking) factors associated with psychosis and molecular biomarkers of treatment-resistant schizophrenia.
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Affiliation(s)
- Eilis Hannon
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
| | - Emma L Dempster
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
| | - Georgina Mansell
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
| | - Joe Burrage
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
| | - Nick Bass
- Division of Psychiatry, University College LondonLondonUnited Kingdom
| | - Marc M Bohlken
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, HeidelberglaanUtrechtNetherlands
| | - Aiden Corvin
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Trinity Translational Medicine Institute, Trinity College Dublin, St. James HospitalDublinIreland
| | - Charles J Curtis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- NIHR BioResource Centre Maudsley, South London and Maudsley NHS Foundation Trust (SLaM), King’s College LondonLondonUnited Kingdom
| | - David Dempster
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- South London and Maudsley NHS Mental Health Foundation TrustLondonUnited Kingdom
- National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College LondonLondonUnited Kingdom
| | | | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland GalwayGalwayIreland
| | - Fiona Gaughran
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- National Psychosis Service, South London and Maudsley NHS Foundation TrustLondonUnited Kingdom
| | - Michael Gill
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Trinity Translational Medicine Institute, Trinity College DublinDublinIreland
| | - Amy Gillespie
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- Department of Psychiatry, Medical Sciences Division, University of OxfordOxfordUnited Kingdom
| | - Cerisse Gunasinghe
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
| | - Hilleke E Hulshoff
- Department of Psychiatry, University Medical Center UtrechtUtrechtNetherlands
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska InstitutetStockholmSweden
| | - Viktoria Johansson
- Department of Medical Epidemiology and Biostatistics Sweden, Karolinska InstitutetStockholmSweden
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm Health Care ServicesStockholmSweden
| | - René S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center UtrechtUtrechtNetherlands
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Jaakko Kaprio
- Institute for Molecular Medicine FIMM, University of HelsinkiHelsinkiFinland
- Department of Public Health, University of HelsinkiHelsinkiFinland
| | - Gunter Kenis
- Faculty of Health, Medicine and Life Sciences, Maastricht UniversityMaastrichtNetherlands
| | - Kaarina Kowalec
- Department of Medical Epidemiology and Biostatistics, Karolinska InstitutetStockholmSweden
- College of Pharmacy, University of ManitobaWinnipegCanada
| | - James MacCabe
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Medicine, National University of Ireland GalwayGalwayIreland
| | - Andrew McQuillin
- Division of Psychiatry, University College LondonLondonUnited Kingdom
- Division of Psychiatry, University College LondonLondonUnited Kingdom
| | - Derek W Morris
- Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland GalwayGalwayIreland
| | - Kieran C Murphy
- Department of Psychiatry, Royal College of Surgeons in IrelandDublinIreland
| | - Colette J Mustard
- Division of Biomedical Sciences, Institute of Health Research and Innovation, University of the Highlands and IslandsInvernessUnited Kingdom
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Jena University HospitalJenaGermany
- Department of Psychiatry and Psychotherapy, Philipps University Marburg/ Marburg University Hospital UKGMMarburgGermany
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff UniversityCardiffUnited Kingdom
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- South London and Maudsley NHS Mental Health Foundation TrustLondonUnited Kingdom
| | - Alexander L Richards
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff UniversityCardiffUnited Kingdom
| | - Bart PF Rutten
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht UniversityMaastrichtNetherlands
| | - David St Clair
- The Institute of Medical Sciences, Univeristy of AberdeenAberdeenUnited Kingdom
| | - Sebastian Therman
- Department of Public Health Solutions, Mental Health Unit, National Institute for Health and WelfareHelsinkiFinland
| | - Timothea Toulopoulou
- Department of Psychology and National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent UniversityAnkaraTurkey
| | - Jim Van Os
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center UtrechtUtrechtNetherlands
| | - John L Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in IrelandDublinIreland
| | - Wellcome Trust Case Control Consortium (WTCCC)
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
- Division of Psychiatry, University College LondonLondonUnited Kingdom
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, HeidelberglaanUtrechtNetherlands
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Trinity Translational Medicine Institute, Trinity College Dublin, St. James HospitalDublinIreland
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- NIHR BioResource Centre Maudsley, South London and Maudsley NHS Foundation Trust (SLaM), King’s College LondonLondonUnited Kingdom
- South London and Maudsley NHS Mental Health Foundation TrustLondonUnited Kingdom
- National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College LondonLondonUnited Kingdom
- APC Microbiome Ireland, University College CorkCorkIreland
- Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland GalwayGalwayIreland
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- National Psychosis Service, South London and Maudsley NHS Foundation TrustLondonUnited Kingdom
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Trinity Translational Medicine Institute, Trinity College DublinDublinIreland
- Department of Psychiatry, Medical Sciences Division, University of OxfordOxfordUnited Kingdom
- Department of Psychiatry, University Medical Center UtrechtUtrechtNetherlands
- Department of Medical Epidemiology and Biostatistics, Karolinska InstitutetStockholmSweden
- Department of Medical Epidemiology and Biostatistics Sweden, Karolinska InstitutetStockholmSweden
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm Health Care ServicesStockholmSweden
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center UtrechtUtrechtNetherlands
- Department of Psychiatry, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Institute for Molecular Medicine FIMM, University of HelsinkiHelsinkiFinland
- Department of Public Health, University of HelsinkiHelsinkiFinland
- Faculty of Health, Medicine and Life Sciences, Maastricht UniversityMaastrichtNetherlands
- College of Pharmacy, University of ManitobaWinnipegCanada
- Centre for Neuroimaging and Cognitive Genomics (NICOG), School of Medicine, National University of Ireland GalwayGalwayIreland
- Division of Psychiatry, University College LondonLondonUnited Kingdom
- Department of Psychiatry, Royal College of Surgeons in IrelandDublinIreland
- Division of Biomedical Sciences, Institute of Health Research and Innovation, University of the Highlands and IslandsInvernessUnited Kingdom
- Department of Psychiatry and Psychotherapy, Jena University HospitalJenaGermany
- Department of Psychiatry and Psychotherapy, Philipps University Marburg/ Marburg University Hospital UKGMMarburgGermany
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff UniversityCardiffUnited Kingdom
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht UniversityMaastrichtNetherlands
- The Institute of Medical Sciences, Univeristy of AberdeenAberdeenUnited Kingdom
- Department of Public Health Solutions, Mental Health Unit, National Institute for Health and WelfareHelsinkiFinland
- Department of Psychology and National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent UniversityAnkaraTurkey
- Molecular and Cellular Therapeutics, Royal College of Surgeons in IrelandDublinIreland
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel HillChapel HillUnited States
- Neuroscience Genetics, Eli Lilly and CompanySurreyUnited Kingdom
- Department of Psychosis Studies, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- School of Life Sciences, University of EssexColchesterUnited Kingdom
| | | | - Patrick Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska InstitutetStockholmSweden
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel HillChapel HillUnited States
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College LondonLondonUnited Kingdom
- NIHR BioResource Centre Maudsley, South London and Maudsley NHS Foundation Trust (SLaM), King’s College LondonLondonUnited Kingdom
| | | | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
| | | | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Barrack RoadExeterUnited Kingdom
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10
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Koriath C, Kenny J, Adamson G, Druyeh R, Taylor W, Beck J, Quinn L, Mok TH, Dimitriadis A, Norsworthy P, Bass N, Carter J, Walker Z, Kipps C, Coulthard E, Polke JM, Bernal-Quiros M, Denning N, Thomas R, Raybould R, Williams J, Mummery CJ, Wild EJ, Houlden H, Tabrizi SJ, Rossor MN, Hummerich H, Warren JD, Rowe JB, Rohrer JD, Schott JM, Fox NC, Collinge J, Mead S. Predictors for a dementia gene mutation based on gene-panel next-generation sequencing of a large dementia referral series. Mol Psychiatry 2020; 25:3399-3412. [PMID: 30279455 PMCID: PMC6330090 DOI: 10.1038/s41380-018-0224-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 06/28/2018] [Accepted: 07/18/2018] [Indexed: 11/09/2022]
Abstract
Next-generation genetic sequencing (NGS) technologies facilitate the screening of multiple genes linked to neurodegenerative dementia, but there are few reports about their use in clinical practice. Which patients would most profit from testing, and information on the likelihood of discovery of a causal variant in a clinical syndrome, are conspicuously absent from the literature, mostly for a lack of large-scale studies. We applied a validated NGS dementia panel to 3241 patients with dementia and healthy aged controls; 13,152 variants were classified by likelihood of pathogenicity. We identified 354 deleterious variants (DV, 12.6% of patients); 39 were novel DVs. Age at clinical onset, clinical syndrome and family history each strongly predict the likelihood of finding a DV, but healthcare setting and gender did not. DVs were frequently found in genes not usually associated with the clinical syndrome. Patients recruited from primary referral centres were compared with those seen at higher-level research centres and a national clinical neurogenetic laboratory; rates of discovery were comparable, making selection bias unlikely and the results generalisable to clinical practice. We estimated penetrance of DVs using large-scale online genomic population databases and found 71 with evidence of reduced penetrance. Two DVs in the same patient were found more frequently than expected. These data should provide a basis for more informed counselling and clinical decision making.
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Affiliation(s)
- C Koriath
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - J Kenny
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - G Adamson
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - R Druyeh
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - W Taylor
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - J Beck
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - L Quinn
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - T H Mok
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - A Dimitriadis
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - P Norsworthy
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - N Bass
- UCL Division of Psychiatry, Maple House, University College London, London, UK
| | - J Carter
- UCL Division of Psychiatry, Maple House, University College London, London, UK
| | - Z Walker
- UCL Division of Psychiatry, Maple House, University College London, London, UK
- Essex Partnership University NHS Foundation Trust, Essex, SS11 7XX, UK
| | - C Kipps
- Wessex Neurological Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - E Coulthard
- Institute of Clinical Neuroscience, University of Bristol, Level 1 Learning and Research Building, Bristol, BS10 5NB, UK
| | - J M Polke
- Neurogenetics Laboratory, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - M Bernal-Quiros
- Neurogenetics Laboratory, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - N Denning
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - R Thomas
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - R Raybould
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - J Williams
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ, UK
| | - C J Mummery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - E J Wild
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - H Houlden
- Neurogenetics Laboratory, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - S J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - M N Rossor
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - H Hummerich
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - J D Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - J B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge, CB2 7EF, UK
| | - J D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - J M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - N C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - J Collinge
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK
| | - S Mead
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, Courtauld Building, London, W1W 7FF, UK.
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11
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Cooper C, Aguirre E, Barber JA, Bass N, Brodaty H, Burton A, Higgs P, Hunter R, Huntley J, Lang I, Kales HC, Marchant NL, Minihane AM, Ritchie K, Morgan-Trimmer S, Walker Z, Walters K, Wenborn J, Rapaport P. APPLE-Tree (Active Prevention in People at risk of dementia: Lifestyle, bEhaviour change and Technology to REducE cognitive and functional decline) programme: Protocol. Int J Geriatr Psychiatry 2020; 35:811-819. [PMID: 31833588 DOI: 10.1002/gps.5249] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 12/07/2019] [Indexed: 11/09/2022]
Abstract
BACKGROUND Observational studies indicate that approximately a third of dementia cases are attributable to modifiable cardiometabolic, physical and mental health, and social and lifestyle risk factors. There is evidence that intensive behaviour change interventions targeting these factors can reduce cognitive decline. [Figure: see text] METHODS AND ANALYSIS: We will design and test a low intensity, secondary dementia-prevention programme (Active Prevention in People at risk of dementia: Lifestyle, bEhaviour change and Technology to REducE cognitive and functional decline, "APPLE-Tree") to slow cognitive decline in people with subjective cognitive decline with or without objective cognitive impairment. We will embed our work within social science research to understand how dementia prevention is currently delivered and structured. We will carry out systematic reviews and around 50 qualitative interviews with stakeholders, using findings to coproduce the APPLE-Tree intervention. We plan a 10-session group intervention, involving personalised goal-setting, with individual sessions for those unable or unwilling to attend groups, delivered by psychology assistants who will be trained and supervised by clinical psychologists. The coproduction group (including public and patient involvement [PPI], academic and clinical/third-sector professional representatives) will use the Behaviour Change Wheel theoretical framework to develop it. We will recruit and randomly allocate 704 participants, 1:1 to the intervention: informational control group. This sample size is sufficient to detect a between-group difference at 2 years of 0.15 on the primary outcome (cognition: modified neuropsychological test battery; 90% power, 5% significance, effect size 0.25, SD 0.6). DISSEMINATION We will work with Public Health England and third-sector partners to produce an effective national implementation approach, so that if our intervention works, it is used in practice.
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Affiliation(s)
- Claudia Cooper
- Division of Psychiatry, University College London, London, UK
| | - Elisa Aguirre
- Division of Psychiatry, University College London, London, UK
| | - Julie A Barber
- Division of Psychiatry, University College London, London, UK
| | - Nick Bass
- Division of Psychiatry, University College London, London, UK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Paul Higgs
- Division of Psychiatry, University College London, London, UK
| | - Rachael Hunter
- Division of Psychiatry, University College London, London, UK
| | | | - Iain Lang
- Exeter Medical School, University of Exeter, Exeter, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, University California Davis, Davis, California
| | | | | | | | | | - Zuzana Walker
- Division of Psychiatry, University College London, London, UK
| | - Kate Walters
- Division of Psychiatry, University College London, London, UK
| | | | - Penny Rapaport
- Division of Psychiatry, University College London, London, UK
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12
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Dooley J, Bailey C, Xanthopoulou P, Bass N, McCabe R. Communication and understanding of mild cognitive impairment diagnoses. Int J Geriatr Psychiatry 2020; 35:662-670. [PMID: 32103532 DOI: 10.1002/gps.5284] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 02/07/2020] [Accepted: 02/13/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Communication of mild cognitive impairment (MCI) diagnoses is challenging due to its heterogeneity and unclear prognosis. AIM To identify how MCI is communicated and to explore the relationship with patient and companion understanding. METHOD Conversation analysis identified whether MCI was named and explained in 43 video recorded diagnosis feedback meetings. Afterward, patients and companions were asked to name the diagnosis to assess understanding. RESULTS Mild cognitive impairment was not named in 21% meetings. Symptoms were explained as (a) a result of vascular conditions (49%), (b) a stage between normal ageing and dementia (30%), or (c) caused by psychological factors (21%). Fifty-four percentage of prognosis discussions included mention of dementia. There was no association between symptom explanations and whether prognosis discussions included dementia. Fifty-seven percentage patients and 37% companions reported not having or not knowing their diagnosis after the meeting. They were more likely to report MCI when prognosis discussions included dementia. CONCLUSIONS Doctors offer three different explanations of MCI to patients. The increased risk of dementia was not discussed in half the diagnostic feedback meetings. This is likely to reflect the heterogeneity in the definition, cause and likely prognosis of MCI presentations. Clearer and more consistent communication, particularly about the increased risk of dementia, may increase patient understanding and enable lifestyle changes to prevent some people progressing to dementia.
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Affiliation(s)
- Jemima Dooley
- Faculty of Health Sciences, Population Health Sciences, University of Bristol, Bristol, UK
| | | | | | - Nick Bass
- Division of Psychiatry, University College London, London, UK
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13
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Feng YCA, Howrigan DP, Abbott LE, Tashman K, Cerrato F, Singh T, Heyne H, Byrnes A, Churchhouse C, Watts N, Solomonson M, Lal D, Heinzen EL, Dhindsa RS, Stanley KE, Cavalleri GL, Hakonarson H, Helbig I, Krause R, May P, Weckhuysen S, Petrovski S, Kamalakaran S, Sisodiya SM, Cossette P, Cotsapas C, De Jonghe P, Dixon-Salazar T, Guerrini R, Kwan P, Marson AG, Stewart R, Depondt C, Dlugos DJ, Scheffer IE, Striano P, Freyer C, McKenna K, Regan BM, Bellows ST, Leu C, Bennett CA, Johns EM, Macdonald A, Shilling H, Burgess R, Weckhuysen D, Bahlo M, O’Brien TJ, Todaro M, Stamberger H, Andrade DM, Sadoway TR, Mo K, Krestel H, Gallati S, Papacostas SS, Kousiappa I, Tanteles GA, Štěrbová K, Vlčková M, Sedláčková L, Laššuthová P, Klein KM, Rosenow F, Reif PS, Knake S, Kunz WS, Zsurka G, Elger CE, Bauer J, Rademacher M, Pendziwiat M, Muhle H, Rademacher A, van Baalen A, von Spiczak S, Stephani U, Afawi Z, Korczyn AD, Kanaan M, Canavati C, Kurlemann G, Müller-Schlüter K, Kluger G, Häusler M, Blatt I, Lemke JR, Krey I, Weber YG, Wolking S, Becker F, Hengsbach C, Rau S, Maisch AF, Steinhoff BJ, Schulze-Bonhage A, Schubert-Bast S, Schreiber H, Borggräfe I, Schankin CJ, Mayer T, Korinthenberg R, Brockmann K, Kurlemann G, Dennig D, Madeleyn R, Kälviäinen R, Auvinen P, Saarela A, Linnankivi T, Lehesjoki AE, Rees MI, Chung SK, Pickrell WO, Powell R, Schneider N, Balestrini S, Zagaglia S, Braatz V, Johnson MR, Auce P, Sills GJ, Baum LW, Sham PC, Cherny SS, Lui CH, Barišić N, Delanty N, Doherty CP, Shukralla A, McCormack M, El-Naggar H, Canafoglia L, Franceschetti S, Castellotti B, Granata T, Zara F, Iacomino M, Madia F, Vari MS, Mancardi MM, Salpietro V, Bisulli F, Tinuper P, Licchetta L, Pippucci T, Stipa C, Minardi R, Gambardella A, Labate A, Annesi G, Manna L, Gagliardi M, Parrini E, Mei D, Vetro A, Bianchini C, Montomoli M, Doccini V, Marini C, Suzuki T, Inoue Y, Yamakawa K, Tumiene B, Sadleir LG, King C, Mountier E, Caglayan SH, Arslan M, Yapıcı Z, Yis U, Topaloglu P, Kara B, Turkdogan D, Gundogdu-Eken A, Bebek N, Uğur-İşeri S, Baykan B, Salman B, Haryanyan G, Yücesan E, Kesim Y, Özkara Ç, Poduri A, Shiedley BR, Shain C, Buono RJ, Ferraro TN, Sperling MR, Lo W, Privitera M, French JA, Schachter S, Kuzniecky RI, Devinsky O, Hegde M, Khankhanian P, Helbig KL, Ellis CA, Spalletta G, Piras F, Piras F, Gili T, Ciullo V, Reif A, McQuillin A, Bass N, McIntosh A, Blackwood D, Johnstone M, Palotie A, Pato MT, Pato CN, Bromet EJ, Carvalho CB, Achtyes ED, Azevedo MH, Kotov R, Lehrer DS, Malaspina D, Marder SR, Medeiros H, Morley CP, Perkins DO, Sobell JL, Buckley PF, Macciardi F, Rapaport MH, Knowles JA, Fanous AH, McCarroll SA, Gupta N, Gabriel SB, Daly MJ, Lander ES, Lowenstein DH, Goldstein DB, Lerche H, Berkovic SF, Neale BM. Ultra-Rare Genetic Variation in the Epilepsies: A Whole-Exome Sequencing Study of 17,606 Individuals. Am J Hum Genet 2019; 105:267-282. [PMID: 31327507 PMCID: PMC6698801 DOI: 10.1016/j.ajhg.2019.05.020] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 05/29/2019] [Indexed: 12/20/2022] Open
Abstract
Sequencing-based studies have identified novel risk genes associated with severe epilepsies and revealed an excess of rare deleterious variation in less-severe forms of epilepsy. To identify the shared and distinct ultra-rare genetic risk factors for different types of epilepsies, we performed a whole-exome sequencing (WES) analysis of 9,170 epilepsy-affected individuals and 8,436 controls of European ancestry. We focused on three phenotypic groups: severe developmental and epileptic encephalopathies (DEEs), genetic generalized epilepsy (GGE), and non-acquired focal epilepsy (NAFE). We observed that compared to controls, individuals with any type of epilepsy carried an excess of ultra-rare, deleterious variants in constrained genes and in genes previously associated with epilepsy; we saw the strongest enrichment in individuals with DEEs and the least strong in individuals with NAFE. Moreover, we found that inhibitory GABAA receptor genes were enriched for missense variants across all three classes of epilepsy, whereas no enrichment was seen in excitatory receptor genes. The larger gene groups for the GABAergic pathway or cation channels also showed a significant mutational burden in DEEs and GGE. Although no single gene surpassed exome-wide significance among individuals with GGE or NAFE, highly constrained genes and genes encoding ion channels were among the lead associations; such genes included CACNA1G, EEF1A2, and GABRG2 for GGE and LGI1, TRIM3, and GABRG2 for NAFE. Our study, the largest epilepsy WES study to date, confirms a convergence in the genetics of severe and less-severe epilepsies associated with ultra-rare coding variation, and it highlights a ubiquitous role for GABAergic inhibition in epilepsy etiology.
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14
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Dooley J, Bass N, Livingston G, McCabe R. Involving patients with dementia in decisions to initiate treatment: effect on patient acceptance, satisfaction and medication prescription. Br J Psychiatry 2019; 214:213-217. [PMID: 30269695 DOI: 10.1192/bjp.2018.201] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Shared decision-making is advocated but may be affected by cognitive impairment. Measures of shared decision-making provide global descriptions of communication without detailed analysis of the subtle ways in which doctors invite patient input.AimsWe aimed to explore medication decisions in dementia, using a standardised Treatment Recommendation Coding Scheme. METHOD We analysed 71 video-recorded dementia diagnostic meetings from nine memory clinics. Recommendations were coded as pronouncements ('I will start you on medication'), proposals ('Shall we try medication?'), suggestions ('Would you like to try medication?'), offers ('I can prescribe medication') or assertions ('There is medication'). Patient responses were coded as acceptance ('I'd like to have that'), active resistance ('I'm not very keen') and passive resistance (minimal or no response). Cognitive test scores, prescription rates and satisfaction were assessed and associations were explored. RESULTS Doctors used suggestions in 42% of meetings, proposals in 25%, assertions in 13%, pronouncements in 11% and offers in 9%. Over 80% of patients did not indicate clear acceptance. Patients were most likely to actively resist after suggestions. There was no association between cognitive impairment and recommendation format. Patients were less satisfied with pronouncements. Patient preference did not influence whether medication was prescribed. CONCLUSIONS Doctors initially nominate people with dementia as the decision maker, and this is unaffected by cognitive impairment. Over 80% of patients resisted starting medication, mostly through passive resistance, the most common form of disagreement in communication. Medication still tended to be prescribed, indicating that factors other than patient preference affect prescription.Declarations of interestNone.
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Affiliation(s)
- Jemima Dooley
- Research Associate in Qualitative Methods,Population Health Sciences,Bristol Medical School,University of Bristol,UK
| | - Nick Bass
- Senior Clinical Lecturer and Honorary Consultant,Division of Psychiatry,University College London,UK
| | - Gill Livingston
- FRCPsych,Professor of Psychiatry of Older People,Division of Psychiatry,University College London,UK
| | - Rose McCabe
- Professor of Clinical Communication,Health Services Research,University of Exeter Medical School,UK
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15
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Arican I, Bass N, Neelam K, Wolfe K, McQuillin A, Giaroli G. Prevalence of attention deficit hyperactivity disorder symptoms in patients with schizophrenia. Acta Psychiatr Scand 2019; 139:89-96. [PMID: 30105761 PMCID: PMC6412852 DOI: 10.1111/acps.12948] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/20/2018] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To investigate the frequency of childhood and adult attention deficit hyperactivity disorder (ADHD) symptoms in a cohort of patients with schizophrenia (SCZ). METHODS A systematic review was conducted to evaluate existing evidence. Two self-report questionnaires were used to investigate adult ADHD and childhood ADHD symptoms in 126 patients with ICD-10 diagnoses of SCZ. RESULTS Five studies were included in the systematic review, with the prevalence of childhood and adult ADHD in SCZ subjects ranging between 17-57% and 10-47% respectively. Within our cohort, 47% of patients reported positive screening for ADHD symptoms either in childhood or adulthood. 23% reported symptomatology consistent with both childhood and adult ADHD. CONCLUSIONS We demonstrate a greater presence of ADHD symptomatology in SCZ compared to that reported for ADHD in the general population. Our findings highlight the importance of improved clinical assessment and treatment considerations in a subgroup of patients with SCZ.
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Affiliation(s)
- I. Arican
- Molecular Psychiatry LaboratoryDivision of PsychiatryUniversity College LondonLondonUK
| | - N. Bass
- Molecular Psychiatry LaboratoryDivision of PsychiatryUniversity College LondonLondonUK
| | - K. Neelam
- Greater Manchester Mental Health NHS Foundation TrustBoltonUK
| | - K. Wolfe
- Molecular Psychiatry LaboratoryDivision of PsychiatryUniversity College LondonLondonUK
| | - A. McQuillin
- Molecular Psychiatry LaboratoryDivision of PsychiatryUniversity College LondonLondonUK
| | - G. Giaroli
- Molecular Psychiatry LaboratoryDivision of PsychiatryUniversity College LondonLondonUK
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16
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Wolfe K, McQuillin A, Alesi V, Boudry Labis E, Cutajar P, Dallapiccola B, Dentici ML, Dieux‐Coeslier A, Duban‐Bedu B, Duelund Hjortshøj T, Goel H, Loddo S, Morrogh D, Mosca‐Boidron A, Novelli A, Olivier‐Faivre L, Parker J, Parker MJ, Patch C, Pelling AL, Smol T, Tümer Z, Vanakker O, van Haeringen A, Vanlerberghe C, Strydom A, Skuse D, Bass N. Delineating the psychiatric and behavioral phenotype of recurrent 2q13 deletions and duplications. Am J Med Genet B Neuropsychiatr Genet 2018; 177:397-405. [PMID: 29603867 PMCID: PMC6001478 DOI: 10.1002/ajmg.b.32627] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 03/01/2018] [Indexed: 12/21/2022]
Abstract
Recurrent deletions and duplications at the 2q13 locus have been associated with developmental delay (DD) and dysmorphisms. We aimed to undertake detailed clinical characterization of individuals with 2q13 copy number variations (CNVs), with a focus on behavioral and psychiatric phenotypes. Participants were recruited via the Unique chromosomal disorder support group, U.K. National Health Service Regional Genetics Centres, and the DatabasE of genomiC varIation and Phenotype in Humans using Ensembl Resources (DECIPHER) database. A review of published 2q13 patient case reports was undertaken to enable combined phenotypic analysis. We present a new case series of 2q13 CNV carriers (21 deletion, 4 duplication) and the largest ever combined analysis with data from published studies, making a total of 54 deletion and 23 duplication carriers. DD/intellectual disabilities was identified in the majority of carriers (79% deletion, 70% duplication), although in the new cases 52% had an IQ in the borderline or normal range. Despite the median age of the new cases being only 9 years, 64% had a clinical psychiatric diagnosis. Combined analysis found attention deficit hyperactivity disorder (ADHD) to be the most frequent diagnosis (48% deletion, 60% duplication), followed by autism spectrum disorders (33% deletion, 17% duplication). Aggressive (33%) and self-injurious behaviors (33%) were also identified in the new cases. CNVs at 2q13 are typically associated with DD with mildly impaired intelligence, and a high rate of childhood psychiatric diagnoses-particularly ADHD. We have further characterized the clinical phenotype related to imbalances of the 2q13 region and identified it as a region of interest for the neurobiological investigation of ADHD.
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Affiliation(s)
- Kate Wolfe
- Molecular Psychiatry Laboratory, Division of PsychiatryUniversity College LondonLondonUnited Kingdom
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Division of PsychiatryUniversity College LondonLondonUnited Kingdom
| | - Viola Alesi
- Medical Genetics Unit, Medical Genetics LaboratoryBambino Gesù Pediatric Hospital, IRCCSRomeItaly
| | | | - Peter Cutajar
- Nottinghamshire Healthcare NHS Foundation TrustNottinghamUnited Kingdom
| | - Bruno Dallapiccola
- Medical Genetics Unit, Medical Genetics LaboratoryBambino Gesù Pediatric Hospital, IRCCSRomeItaly
| | - Maria Lisa Dentici
- Medical Genetics Unit, Medical Genetics LaboratoryBambino Gesù Pediatric Hospital, IRCCSRomeItaly
| | - Anne Dieux‐Coeslier
- Service de génétique clinique, CHU LilleLilleFrance
- EA7364, RADEME, Université de LilleLilleFrance
| | | | - Tina Duelund Hjortshøj
- Kennedy Center, Department of Clinical GeneticsCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Himanshu Goel
- Hunter GeneticsWaratahNew South WalesAustralia
- University of NewcastleCallaghanNew South WalesAustralia
| | - Sara Loddo
- Medical Genetics Unit, Medical Genetics LaboratoryBambino Gesù Pediatric Hospital, IRCCSRomeItaly
| | - Deborah Morrogh
- North East Thames Regional Genetics Service LaboratoryLondonUnited Kingdom
| | | | - Antonio Novelli
- Medical Genetics Unit, Medical Genetics LaboratoryBambino Gesù Pediatric Hospital, IRCCSRomeItaly
| | - Laurence Olivier‐Faivre
- Centre de référence Anomalies du développement et Syndromes malformatifs, FHU TRANSLADCHU DijonFrance
| | - Jennifer Parker
- North East Thames Regional Genetics Service LaboratoryLondonUnited Kingdom
| | - Michael J. Parker
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Western BankSheffieldUnited Kingdom
| | - Christine Patch
- King's College London, Florence Nightingale Faculty of Nursing and MidwiferyLondonUnited Kingdom
- Genomics England, Dawson Hall, Charterhouse SquareLondonUnited Kingdom
| | - Anna L. Pelling
- Information Officer, Unique – The Rare Chromosome Disorder Support Group (www.rarechromo.org), The Stables, Station Road WestOxted, SurreyUnited Kingdom
| | - Thomas Smol
- Institut de génétique médicale, CHU LilleLilleFrance
- EA7364, RADEME, Université de LilleLilleFrance
| | - Zeynep Tümer
- Kennedy Center, Department of Clinical GeneticsCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Olivier Vanakker
- Center for Medical GeneticsGhent University HospitalGhentBelgium
| | - Arie van Haeringen
- Department of Clinical GeneticsLeiden University Medical CenterLeidenThe Netherlands
| | - Clémence Vanlerberghe
- Service de génétique clinique, CHU LilleLilleFrance
- EA7364, RADEME, Université de LilleLilleFrance
| | - Andre Strydom
- Molecular Psychiatry Laboratory, Division of PsychiatryUniversity College LondonLondonUnited Kingdom
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUnited Kingdom
| | - David Skuse
- Behavioural and Brain Sciences UnitInstitute of Child Health, University College LondonLondonUnited Kingdom
| | - Nick Bass
- Molecular Psychiatry Laboratory, Division of PsychiatryUniversity College LondonLondonUnited Kingdom
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17
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Thygesen JH, Wolfe K, McQuillin A, Viñas-Jornet M, Baena N, Brison N, D'Haenens G, Esteba-Castillo S, Gabau E, Ribas-Vidal N, Ruiz A, Vermeesch J, Weyts E, Novell R, Buggenhout GV, Strydom A, Bass N, Guitart M, Vogels A. Neurodevelopmental risk copy number variants in adults with intellectual disabilities and comorbid psychiatric disorders. Br J Psychiatry 2018; 212:287-294. [PMID: 29693535 PMCID: PMC7083594 DOI: 10.1192/bjp.2017.65] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Copy number variants (CNVs) are established risk factors for neurodevelopmental disorders. To date the study of CNVs in psychiatric illness has focused on single disorder populations. The role of CNVs in individuals with intellectual disabilities and psychiatric comorbidities are less well characterised.AimsTo determine the type and frequency of CNVs in adults with intellectual disabilities and comorbid psychiatric disorders. METHOD A chromosomal microarray analysis of 599 adults recruited from intellectual disabilities psychiatry services at three European sites. RESULTS The yield of pathogenic CNVs was high - 13%. Focusing on established neurodevelopmental disorder risk loci we find a significantly higher frequency in individuals with intellectual disabilities and comorbid psychiatric disorder (10%) compared with healthy controls (1.2%, P<0.0001), schizophrenia (3.1%, P<0.0001) and intellectual disability/autism spectrum disorder (6.5%, P < 0.00084) populations. CONCLUSIONS In the largest sample of adults with intellectual disabilities and comorbid psychiatric disorders to date, we find a high rate of pathogenic CNVs. This has clinical implications for the use of genetic investigations in intellectual disability psychiatry.Declaration of interestNone.
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Affiliation(s)
| | - Kate Wolfe
- Division of Psychiatry, University College London, London, UK
| | | | - Marina Viñas-Jornet
- Genetics Laboratory, UDIAT-Centre Diagnostic, Hospital de Sabadell, Parc Taulí, Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Neus Baena
- Genetics Laboratory, UDIAT-Centre Diagnostic, Hospital de Sabadell, Parc Taulí, Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Nathalie Brison
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | | | - Susanna Esteba-Castillo
- Mental Health and Intellectual Disability Specialized Service, Institut Assistència Sanitària (IAS), Parc Hospitalari Martí i Julià, Girona, Spain
| | - Elisabeth Gabau
- Genetics Laboratory, UDIAT-Centre Diagnostic, Hospital de Sabadell, Parc Taulí, Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Núria Ribas-Vidal
- Mental Health and Intellectual Disability Specialized Service, Institut Assistència Sanitària (IAS), Parc Hospitalari Martí i Julià, Girona, Spain
| | - Anna Ruiz
- Genetics Laboratory, UDIAT-Centre Diagnostic, Hospital de Sabadell, Parc Taulí, Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Joris Vermeesch
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Eddy Weyts
- St Camillus Psychiatric Hospital, Bierbeek, Belgium
| | - Ramon Novell
- Mental Health and Intellectual Disability Specialized Service, Institut Assistència Sanitària (IAS), Parc Hospitalari Martí i Julià, Girona, Spain
| | - Griet Van Buggenhout
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - André Strydom
- Division of Psychiatry, University College London and Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Nick Bass
- Division of Psychiatry, University College London, London, UK
| | - Miriam Guitart
- Genetics Laboratory, UDIAT-Centre Diagnostic, Hospital de Sabadell, Parc Taulí, Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain
| | - Annick Vogels
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium,Correspondence: Annick Vogels, Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, O&N I Herestraat 49 - Box 602, KU Leuven, 3000 Leuven, Belgium.
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18
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Abstract
BACKGROUND Dementia diagnosis rates are increasing. Guidelines recommend that people with dementia should be told their diagnosis clearly and honestly to facilitate future planning. Aims To analyse how doctors deliver a dementia diagnosis in practice. METHOD Conversation analysis was conducted on 81 video-recorded diagnosis feedback meetings with 20 doctors from nine UK memory clinics. RESULTS All doctors named dementia; 59% (n = 48) approached the diagnosis indirectly but delicately ('this is dementia') and 41% (n = 33) approached this directly but bluntly ('you have Alzheimer's disease'). Direct approaches were used more often with people with lower cognitive test scores. Doctors emphasised that the dementia was mild and tended to downplay its progression, with some avoiding discussing prognosis altogether. CONCLUSIONS Doctors are naming dementia to patients. Direct approaches reflect attempts to ensure clear diagnosis. Downplaying and avoiding prognosis demonstrates concerns about preserving hope but may compromise understanding about and planning for the future. Declaration of interest None.
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Affiliation(s)
- Jemima Dooley
- Population Health Sciences,University of Bristol,Bristol,UK
| | - Nick Bass
- Division of Psychiatry,University College London,London,UK
| | - Rose McCabe
- University of Exeter Medical School,Exeter,UK
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19
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Wolfe K, Stueber K, McQuillin A, Jichi F, Patch C, Flinter F, Strydom A, Bass N. Genetic testing in intellectual disability psychiatry: Opinions and practices of UK child and intellectual disability psychiatrists. J Appl Res Intellect Disabil 2017; 31:273-284. [PMID: 28833975 PMCID: PMC5836913 DOI: 10.1111/jar.12391] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2017] [Indexed: 12/18/2022]
Abstract
Background An increasing number of genetic causes of intellectual disabilities (ID) are identifiable by clinical genetic testing, offering the prospect of bespoke patient management. However, little is known about the practices of psychiatrists and their views on genetic testing. Method We undertook an online survey of 215 psychiatrists, who were contacted via the Royal College of Psychiatrist's Child and Adolescent and Intellectual Disability Psychiatry mailing lists. Results In comparison with child and adolescent psychiatrists, intellectual disability psychiatrists ordered more genetic tests, referred more patients to genetic services, and were overall more confident in the genetic testing process. Respondents tended to agree that genetic diagnoses can help patient management; however, management changes were infrequently found in clinical practice. Conclusions Differences are apparent in the existing views and practices of child and adolescent and intellectual disability psychiatrists. Developing training and collaboration with colleagues working in genetic services could help to reduce discrepancies and improve clinical practice.
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Affiliation(s)
- Kate Wolfe
- Division of Psychiatry, University College London, London, UK
| | - Kerstin Stueber
- Division of Psychiatry, University College London, London, UK
| | | | - Fatima Jichi
- Biostatistics Group, Joint Research Office, University College London, London, UK
| | | | | | - André Strydom
- Division of Psychiatry, University College London, London, UK
| | - Nick Bass
- Division of Psychiatry, University College London, London, UK
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20
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Whitehead MT, Wien M, Lee B, Bass N, Gropman A. Cortical venous disease severity in MELAS syndrome correlates with brain lesion development. Neuroradiology 2017; 59:813-818. [PMID: 28667360 DOI: 10.1007/s00234-017-1866-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 06/13/2017] [Indexed: 11/30/2022]
Abstract
PURPOSE MELAS syndrome is a mitochondrial disorder typified by recurrent stroke-like episodes, seizures, and progressive brain injury. Abnormal mitochondria have been found in arterial walls implicating a vasculogenic etiology. We have observed abnormal cortical vein T2/FLAIR signal in MELAS patients, potentially representing wall thickening and sluggish flow. We sought to examine the relationship of hyperintense veins and brain lesions in MELAS. METHODS Imaging databases at two children's hospitals were searched for brain MRIs from MELAS patients. Artifact, sedated exams, and lack of 2D-T2/FLAIR sequences were exclusion criteria. Each exam was assigned a venous score based on number of T2/FLAIR hyperintense veins: 1 = <10, 2 = 10 to 20, 3 = >20. Cumulative brain lesions and venous score in MELAS and aged-matched normal exams were compared by Mann-Whitney test. RESULTS A total of 106 exams from 14 unique MELAS patients (mean 16 ± 3 years) and 30 exams from normal aged-matched patients (mean 15 ± 3 years) were evaluated. Median venous score between MELAS and control patients significantly differed (3 versus 1; p < 0.001). In the MELAS group, venous score correlated with presence (median = 3) or absence (median = 1) of cumulative brain lesions. In all 8 MELAS patients who developed lesions, venous hyperintensity was present prior to, during, and after lesion onset. Venous score did not correlate with brain lesion acuity. CONCLUSION Abnormal venous signal correlates with cumulative brain lesion severity in MELAS syndrome. Cortical venous stenosis, congestion, and venous ischemia may be mechanisms of brain injury. Identification of cortical venous pathology may aid in diagnosis and could be predictive of lesion development.
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Affiliation(s)
- M T Whitehead
- Department of Neuroradiology, Department of Radiology, Children's National Medical Center, 111 Michigan Ave. NW, Washington, DC, 20010, USA.
- George Washington University School of Medicine, Washington, DC, 20037, USA.
| | - M Wien
- Rainbow Babies and Children's Hospital, University Hospital Cleveland Medical Center, Cleveland, OH, 44106, USA
- Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA
| | - B Lee
- Johns Hopkins Medical Institute, Baltimore, MD, 21224, USA
| | - N Bass
- Rainbow Babies and Children's Hospital, University Hospital Cleveland Medical Center, Cleveland, OH, 44106, USA
- Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA
| | - A Gropman
- Department of Neurology, Children's National Medical Center, Washington, DC, 20010, USA
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21
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Hannon E, Dempster E, Viana J, Burrage J, Smith AR, Macdonald R, St Clair D, Mustard C, Breen G, Therman S, Kaprio J, Toulopoulou T, Pol HEH, Bohlken MM, Kahn RS, Nenadic I, Hultman CM, Murray RM, Collier DA, Bass N, Gurling H, McQuillin A, Schalkwyk L, Mill J. An integrated genetic-epigenetic analysis of schizophrenia: evidence for co-localization of genetic associations and differential DNA methylation. Genome Biol 2016; 17:176. [PMID: 27572077 PMCID: PMC5004279 DOI: 10.1186/s13059-016-1041-x] [Citation(s) in RCA: 212] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 08/09/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Schizophrenia is a highly heritable, neuropsychiatric disorder characterized by episodic psychosis and altered cognitive function. Despite success in identifying genetic variants associated with schizophrenia, there remains uncertainty about the causal genes involved in disease pathogenesis and how their function is regulated. RESULTS We performed a multi-stage epigenome-wide association study, quantifying genome-wide patterns of DNA methylation in a total of 1714 individuals from three independent sample cohorts. We have identified multiple differentially methylated positions and regions consistently associated with schizophrenia across the three cohorts; these effects are independent of important confounders such as smoking. We also show that epigenetic variation at multiple loci across the genome contributes to the polygenic nature of schizophrenia. Finally, we show how DNA methylation quantitative trait loci in combination with Bayesian co-localization analyses can be used to annotate extended genomic regions nominated by studies of schizophrenia, and to identify potential regulatory variation causally involved in disease. CONCLUSIONS This study represents the first systematic integrated analysis of genetic and epigenetic variation in schizophrenia, introducing a methodological approach that can be used to inform epigenome-wide association study analyses of other complex traits and diseases. We demonstrate the utility of using a polygenic risk score to identify molecular variation associated with etiological variation, and of using DNA methylation quantitative trait loci to refine the functional and regulatory variation associated with schizophrenia risk variants. Finally, we present strong evidence for the co-localization of genetic associations for schizophrenia and differential DNA methylation.
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Affiliation(s)
- Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Emma Dempster
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Joana Viana
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Joe Burrage
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Adam R. Smith
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Ruby Macdonald
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - David St Clair
- The Institute of Medical Sciences, Aberdeen University, Aberdeen, UK
| | | | - Gerome Breen
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, UK
| | | | - Jaakko Kaprio
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | | | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc M. Bohlken
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rene S. Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Christina M. Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Robin M. Murray
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, UK
| | - David A. Collier
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, UK
- Eli Lilly and Company Ltd, Windlesham, UK
| | - Nick Bass
- Division of Psychiatry, University College London, London, UK
| | - Hugh Gurling
- Division of Psychiatry, University College London, London, UK
| | | | - Leonard Schalkwyk
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, UK
- School of Biological Sciences, University of Essex, Colchester, UK
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, UK
- Royal Devon & Exeter Hospital, RILD Building, Level 4, Barrack Rd, Exeter, EX2 5DW UK
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22
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Sheehan R, Sinai A, Bass N, Blatchford P, Bohnen I, Bonell S, Courtenay K, Hassiotis A, Markar T, McCarthy J, Mukherji K, Naeem A, Paschos D, Perez-Achiaga N, Sharma V, Thomas D, Walker Z, Strydom A. Dementia diagnostic criteria in Down syndrome. Int J Geriatr Psychiatry 2015; 30:857-63. [PMID: 25363568 PMCID: PMC4678599 DOI: 10.1002/gps.4228] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Revised: 09/17/2014] [Accepted: 09/25/2014] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Dementia is a common clinical presentation among older adults with Down syndrome. The presentation of dementia in Down syndrome differs compared with typical Alzheimer's disease. The performance of manualised dementia criteria in the International Classification of Diseases (ICD)-10 and Diagnostic and Statistical Manual of Mental Disorders-IV-Text Revision (DSM-IV-TR) is uncertain in this population.We aimed to determine the concurrent validity and reliability of clinicians' diagnoses of dementia against ICD-10 and DSM-IV-TR diagnoses. Validity of clinical diagnoses were also explored by establishing the stability of diagnoses over time. METHODS We used clinical data from memory assessments of 85 people with Down syndrome, of whom 64 (75.3%) had a diagnosis of dementia. The cases of dementia were presented to expert raters who rated the case as dementia or no dementia using ICD-10 and DSM-IV-TR criteria and their own clinical judgement. RESULTS We found that clinician's judgement corresponded best with clinically diagnosed cases of dementia, identifying 84.4% cases of clinically diagnosed dementia at the time of diagnosis. ICD-10 criteria identified 70.3% cases, and DSM-IV-TR criteria identified 56.3% cases at the time of clinically diagnosed dementia. Over time, the proportion of cases meeting ICD-10 or DSM-IV-TR diagnoses increased, suggesting that experienced clinicians used their clinical knowledge of dementia presentation in Down syndrome to diagnose the disorder at an earlier stage than would have been possible had they relied on the classic description contained in the diagnostic systems. CONCLUSIONS Clinical diagnosis of dementia in Down syndrome is valid and reliable and can be used as the standard against which new criteria such as the DSM-5 are measured.
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Affiliation(s)
- Rory Sheehan
- Mental Health Sciences Unit, University College London, London, UK
,Camden Learning Disabilities Service, London, UK
| | - Amanda Sinai
- Mental Health Sciences Unit, University College London, London, UK
| | - Nick Bass
- Mental Health Sciences Unit, University College London, London, UK
| | - Pippa Blatchford
- Royal Borough of Kensington and Chelsea Learning Disabilities Service, London, UK
| | - Ingrid Bohnen
- Central and North West London NHS Foundation Trust, Westminster Learning Disability Partnership, London, UK
| | - Simon Bonell
- South London and Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Ken Courtenay
- Mental Health Sciences Unit, University College London, London, UK
,Haringey Learning Disabilities Partnership, London, UK
| | - Angela Hassiotis
- Mental Health Sciences Unit, University College London, London, UK
,Camden Learning Disabilities Service, London, UK
| | - Therese Markar
- Hertfordshire Partnership University NHS Foundation Trust, Lister Hospital, Stevenage, UK
| | - Jane McCarthy
- Department of Forensic and Neurodevelopmental Sciences (FANS), Institute of Psychiatry, London, UK
| | - Kamalika Mukherji
- Hertfordshire Partnership University NHS Foundation Trust, Lister Hospital, Stevenage, UK
| | - Asim Naeem
- Sutton and Merton Mental Health Learning Disability Team, Jubilee Health Centre East, Surrey, UK
| | | | | | - Vijaya Sharma
- Hertfordshire Partnership University NHS Foundation Trust, Community Support Unit, Watford, UK
| | - David Thomas
- Hackney Learning Disabilities Team, Hackney Service Centre, London, UK
| | - Zuzana Walker
- Mental Health Sciences Unit, University College London, London, UK
| | - Andre Strydom
- Mental Health Sciences Unit, University College London, London, UK
,Islington Learning Disabilities Partnership, London, UK
,The LonDownS Consortium
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23
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Syed Sheriff RJ, Bass N, Hughes P, Ade-Odunlade P, Ismail A, Whitwell S, Jenkins R. Use of interactive teaching techniques to introduce mental health training to medical schools in a resource poor setting. ACTA ACUST UNITED AC 2013; 16:256-63. [PMID: 24051564 DOI: 10.4314/ajpsy.v16i4.34] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2011] [Accepted: 05/31/2012] [Indexed: 11/17/2022]
Abstract
OBJECTIVE There are currently no practising psychiatrists in Somaliland. In 2007 the first medical students graduated from universities in Somaliland without mental health training. We aimed to pilot an intensive but flexible package of mental health training to all senior medical students and interns using interactive training techniques and to evaluate its effectiveness by assessing knowledge, skills and attitudes. METHODS Teaching techniques included didactic lectures, case based discussion groups and role playing. Informal feedback informed a flexible teaching package. Assessment tools designed specifically for this course included a pre and post course MCQ exam and an OSCE. Changes in students' attitudes were evaluated using a questionnaire administered before and after the course. In addition, a questionnaire administered following the course evaluated the changes students perceived in their knowledge and attitudes to mental health. RESULTS The MCQ improved from 50.7% pre course to 64.4% post course (p = 9.73 E-08). Students achieved an average overall OSCE mark of 71%. The pre and post attitudes questionnaire was most significantly different for statements relevant to aetiology, stigma and the overlap between mental and physical health. The statement most strongly agreed with after the course was 'I now understand more about the overlap between mental and physical health'. CONCLUSION Interactive teaching provided a learning experience for both students and trainers. On site and distance learning based on the teaching described here has widened the scope of the training possible in psychiatry and allowed the provision of regular teaching, supervision and peer support in Somaliland. However, the current lack of local expertise means that important issues of sustainability need to be considered in future work.
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Affiliation(s)
- R J Syed Sheriff
- Kings College London, Institute of Psychiatry, De Crespigny Pk, London, UK
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24
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Fayolle G, Levick W, Lajiness-O'Neill R, Fastenau P, Briskin S, Bass N, Silva M, Critchfield E, Nakase-Richardson R, Hertza J, Loughan A, Perna R, Northington S, Boyd S, Anderson A, Peery S, Chafetz M, Maris M, Ramezani A, Sylvester C, Goldberg K, Constantinou M, Karekla M, Hall J, Edwards M, Balldin V, Strutt A, Pavlik V, Marquez de la Plata C, Cullum M, lacritz L, Reisch J, Massman P, Royall D, Barber R, Younes S, Wiechmann A, O'Bryant S, Patel K, Suhr J, Patel K, Suhr J, Chari S, Yokoyama J, Bettcher B, Karydas A, Miller B, Kramer J, Zec R, Fritz S, Kohlrus S, Robbs R, Ala T, Gifford K, Cantwell N, Romano R, Jefferson A, Holland A, Newton S, Bunting J, Coe M, Carmona J, Harrison D, Puente A, Terry D, Faraco C, Brown C, Patel A, Watts A, Kent A, Siegel J, Miller S, Ernst W, Chelune G, Holdnack J, Sheehan J, Duff K, Pedraza O, Crawford J, Terry D, Puente A, Brown C, Faraco C, Watts A, Patel A, Kent A, Siegel J, Miller L, Younes S, Hobson Balldin V, Benavides H, Johnson L, Hall J, Tshuma L, O'Bryant S, Dezhkam N, Hayes L, Love C, Stephens B, Webbe F, Allen C, Lemann E, Davis A, Pierson E, Lutz J, Piehl J, Holler K, Kavanaugh B, Tayim F, Llanes S, Mulligan K, Poston K, Riccio C, Beathard J, Cohen M, Stolberg P, Hart J, Jones W, Mayfield J, Allen D, Weller J, Dunham K, Demireva P, McInerney K, Suhr J, Dykstra J, Riddle T, Suhr J, Primus M, Riccio C, Highsmith J, Everhart D, Shadi S, Lehockey K, Sullivan S, Lucas M, Mandava S, Murphy B, Donovick P, Lalwani L, Rosselli M, Coad S, Carrasco R, Sofko C, Scarisbrick D, Golden C, Coad S, Zuckerman S, Golden C, Perna R, Loughan A, Hertza J, Brand J, Rivera Mindt M, Denney R, Schaffer S, Alper K, Devinsky O, Barr W, Langer K, Fraiman J, Scagliola J, Roman E, Martinez A, Cohen M, Dunham K, Riccio C, Martin P, Robbins J, Golden C, Axelrod B, Etherton J, Konopacki K, Moses J, Juliano A, Whiteside D, Rolin S, Widmann G, Franzwa M, Sokal B, Mark V, Doyle K, Morgan E, Weber E, Bondi M, Delano-Wood L, Grant I, Sibson J, Woods S, Andrews P, McGregor S, Golden C, Etherton J, Allen C, Cormier R, Cumley N, Elek M, Green M, Ogbeide S, Kruger A, Pacheco L, Robinson G, Welch H, Etherton J, Allen C, Cormier R, Cumley N, Kruger A, Pacheco L, Glover M, Parriott D, Jones W, Loe S, Hughes L, Natta L, Moses J, Vincent A, Roebuck-Spencer T, Bryan C, Padua M, Denney R, Moses J, Quenicka W, McGoldirck K, Bennett T, Soper H, Collier S, Connolly M, Hanratty A, Di Pinto M, Magnuson S, Dunham K, Handel E, Davidson K, Livers E, Frantz S, Allen J, Jerard T, Moses J, Pierce S, Sakhai S, Newton S, Warchol A, Holland A, Bunting J, Coe M, Carmona J, Harrison D, Barney S, Thaler N, Sutton G, Strauss G, Allen D, Hunter B, Bennett T, Quenicka W, McGoldrick K, Soper H, Sordahl J, Torrence N, John S, Gavett B, O'Bryant S, Shadi S, Denney R, Nichols C, Riccio C, Cohen M, Dennison A, Wasserman T, Schleicher-Dilks S, Adler M, Golden C, Olivier T, Schleicher-Dilks S, Golden C, LeMonda B, McGinley J, Pritchett A, Chang L, Cloak C, Cunningham E, Lohaugen G, Skranes J, Ernst T, Parke E, Thaler N, Etcoff L, Allen D, Andrews P, McGregor S, Golden C, Northington S, Daniels R, Loughan A, Perna R, Hertza J, Hochsztein N, Miles-Mason E, Granader Y, Vasserman M, MacAllister W, Casto B, Peery S, Patrick K, Hurewitz F, Chute D, Booth A, Koch C, Roid G, Balkema N, Kiefel J, Bell L, Maerlender A, Belkin T, Katzenstein J, Semerjian C, Culotta V, Band E, Yosick R, Burns T, Arenivas A, Bearden D, Olson K, Jacobson K, Ubogy S, Sterling C, Taub E, Griffin A, Rickards T, Uswatte G, Davis D, Sweeney K, Llorente A, Boettcher A, Hill B, Ploetz D, Kline J, Rohling M, O'Jile J, Holler K, Petrauskas V, Long J, Casey J, Long J, Petrauskas V, Duda T, Hodsman S, Casey J, Stricker S, Martner S, Hansen R, Ferraro F, Tangen R, Hanratty A, Tanabe M, O'Callaghan E, Houskamp B, McDonald L, Pick L, Guardino D, Pick L, Pietz T, Kayser K, Gray R, Letteri A, Crisologo A, Witkin G, Sanders J, Mrazik M, Harley A, Phoong M, Melville T, La D, Gomez R, Berthelson L, Robbins J, Lane E, Golden C, Rahman P, Konopka L, Fasfous A, Zink D, Peralta-Ramirez N, Perez-Garcia M, Puente A, Su S, Lin G, Kiely T, Gomez R, Schatzberg A, Keller J, Dykstra J, Suhr J, Feigon M, Renteria L, Fong M, Piper L, Lee E, Vordenberg J, Contardo C, Magnuson S, Doninger N, Luton L, Balkema N, Drane D, Phelan A, Stricker W, Poreh A, Wolkenberg F, Spira J, Lin G, Su S, Kiely T, Gomez R, Schatzberg A, Keller J, DeRight J, Jorgensen R, Fitzpatrick L, Crowe S, Woods S, Doyle K, Weber E, Cameron M, Cattie J, Cushman C, Grant I, Blackstone K, Woods S, Weber E, Grant I, Moore D, Roberg B, Somogie M, Thelen J, Lovelace C, Bruce J, Gerstenecker A, Mast B, Litvan I, Hargrave D, Schroeder R, Buddin W, Baade L, Heinrichs R, Thelen J, Roberg B, Somogie M, Lovelace C, Bruce J, Boseck J, Berry K, Koehn E, Davis A, Meyer B, Gelder B, Sussman Z, Espe-Pfeifer P, Musso M, Barker A, Jones G, Gouvier W, Weber E, Woods S, Grant I, Johnson V, Zaytsev L, Freier-Randall M, Sutton G, Thaler N, Ringdahl E, Allen D, Olsen J, Byrd D, Rivera-Mindt M, Fellows R, Morgello S, Wheaton V, Jaehnert S, Ellis C, Olavarria H, Loftis J, Huckans M, Pimental P, Frawley J, Welch M, Jennette K, Rinehardt E, Schoenberg M, Strober L, Genova H, Wylie G, DeLuca J, Chiaravalloti N, Hertza J, Loughan A, Perna R, Northington S, Boyd S, Hertza J, Loughan A, Perna R, Northington S, Boyd S, Ibrahim E, Seiam A, Ibrahim E, Bohlega S, Rinehardt E, Lloyd H, Goldberg M, Marceaux J, Fallows R, McCoy K, Yehyawi N, Luther E, Hilsabeck R, Fulton R, Stevens P, Erickson S, Dodzik P, Williams R, Dsurney J, Najafizadeh L, McGovern J, Chowdhry F, Acevedo A, Bakhtiar A, Karamzadeh N, Amyot F, Gandjbakhche A, Haddad M, Taub E, Johnson M, Wade J, Harper L, Rickards T, Sterling C, Barghi A, Uswatte G, Mark V, Balkema N, Christopher G, Marcus D, Spady M, Bloom J, Wiechmann A, Hall J, Loughan A, Perna R, Hertza J, Northington S, Zimmer A, Webbe F, Miller M, Schuster D, Ebner H, Mortimer B, Webbe F, Palmer G, Happe M, Paxson J, Jurek B, Graca J, Meyers J, Lange R, Brickell T, French L, Lange R, Iverson G, Shewchuk J, Madler B, Heran M, Brubacher J, Brickell T, Lange R, Ivins B, French L, Baldassarre M, Paper T, Herrold A, Chin A, Zgaljardic D, Oden K, Lambert M, Dickson S, Miller R, Plenger P, Jacobson K, Olson K, Sutherland E, Glatts C, Schatz P, Walker K, Philip N, McClaughlin S, Mooney S, Seats E, Carnell V, Raintree J, Brown D, Hodges C, Amerson E, Kennedy C, Moore J, Schatz P, Ferris C, Roebuck-Spencer T, Vincent A, Bryan C, Catalano D, Warren A, Monden K, Driver S, Chau P, Seegmiller R, Baker M, Malach S, Mintz J, Villarreal R, Peterson A, Leininger S, Strong C, Donders J, Merritt V, Vargas G, Rabinowitz A, Arnett P, Whipple E, Schultheis M, Robinson K, Iacovone D, Biester R, Alfano D, Nicholls M, Vargas G, Rabinowitz A, Arnett P, Rabinowitz A, Vargas G, Arnett P, Klas P, Jeffay E, Zakzanis K, Vandermeer M, Jeffay E, Zakzanis K, Womble M, Rohling M, Hill B, Corley E, Considine C, Fichtenberg N, Harrison J, Pollock M, Mouanoutoua A, Brimager A, Lebby P, Sullivan K, Edmed S, Silva M, Nakase-Richardson R, Critchfield E, Kieffer K, McCarthy M, Wiegand L, Lindsey H, Hernandez M, Puente A, Noniyeva Y, Lapis Y, Padua M, Poole J, Brooks B, McKay C, Mrazik M, Meeuwisse W, Emery C, Brooks B, Mazur-Mosiewicz A, Sherman E, Brooks B, Mazur-Mosiewicz A, Kirkwood M, Sherman E, Gunner J, Miele A, Silk-Eglit G, Lynch J, McCaffrey R, Stewart J, Tsou J, Scarisbrick D, Chan R, Bure-Reyes A, Cortes L, Gindy S, Golden C, Hunter B, Biddle C, Shah D, Jaberg P, Moss R, Horner M, VanKirk K, Dismuke C, Turner T, Muzzy W, Dunnam M, Miele A, Warner G, Donnelly K, Donnelly J, Kittleson J, Bradshaw C, Alt M, Margolis S, Ostroy E, Rolin S, Higgins K, Denney R, Rolin S, Eng K, Biddle C, Akeson S, Wall J, Davis J, Hansel J, Hill B, Rohling M, Wang B, Womble M, Gervais R, Greiffenstein M, Denning J, Denning J, Schroeder R, Buddin W, Hargrave D, VonDran E, Campbell E, Brockman C, Heinrichs R, Baade L, Buddin W, Hargrave D, Schroeder R, Teichner G, Waid R, Buddin W, Schroeder R, Teichner G, Waid R, Buican B, Armistead-Jehle P, Bailie J, Dilay A, Cottingham M, Boyd C, Asmussen S, Neff J, Schalk S, Jensen L, DenBoer J, Hall S, DenBoer J, Schalk S, Jensen L, Hall S, Miele A, Lynch J, McCaffrey R, Holcomb E, Axelrod B, Demakis G, Rimland C, Ward J, Ross M, Bailey M, Stubblefield A, Smigielski J, Geske J, Karpyak V, Reese C, Larrabee G, Suhr J, Silk-Eglit G, Gunner J, Miele A, Lynch J, McCaffrey R, Allen L, Celinski M, Gilman J, Davis J, Wall J, LaDuke C, DeMatteo D, Heilbrun K, Swirsky-Sacchetti T, Lindsey H, Puente A, Dedman A, Withers K, Chafetz M, Deneen T, Denney R, Fisher J, Spray B, Savage R, Wiener H, Tyer J, Ningaonkar V, Devlin B, Go R, Sharma V, Tsou J, Golden C, Fontanetta R, Calderon C, Coad S, Golden C, Calderon C, Fontaneta R, Coad S, Golden C, Ringdahl E, Thaler N, Sutton G, Vertinski M, Allen D, Verbiest R, Thaler N, Snyder J, Kinney J, Allen D, Rach A, Young J, Crouse E, Schretlen D, Weaver J, Buchholz A, Gordon B, Macciocchi S, Seel R, Godsall R, Brotsky J, DiRocco A, Houghton-Faryna E, Bolinger E, Hollenbeck C, Hart J, Thaler N, Vertinski M, Ringdahl E, Allen D, Lee B, Strauss G, Adams J, Martins D, Catalano L, Waltz J, Gold J, Haas G, Brown L, Luther J, Goldstein G, Kiely T, Kelley E, Lin G, Su S, Raba C, Gomez R, Trettin L, Solvason H, Schatzberg A, Keller J, Vertinski M, Thaler N, Allen D, Gold J, Buchanan R, Strauss G, Baldock D, Ringdahl E, Sutton G, Thaler N, Allen D, Fallows R, Marceaux J, McCoy K, Yehyawi N, Luther E, Hilsabeck R, Etherton J, Phelps T, Richmond S, Tapscott B, Thomlinson S, Cordeiro L, Wilkening G, Parikh M, Graham L, Grosch M, Hynan L, Weiner M, Cullum C, Hobson Balldin V, Menon C, Younes S, Hall J, Strutt A, Pavlik V, Marquez de la Plata C, Cullum M, Lacritz L, Reisch J, Massman P, Royall D, Barber R, O'Bryant S, Castro-Couch M, Irani F, Houshyarnejad A, Norman M, Peery S, Fonseca F, Bure-Reyes A, Browne B, Alvarez J, Jiminez Y, Baez V, Cortes L, Golden C, Fonseca F, Bure-Reyes A, Coad S, Alvarez J, Browne B, Baez V, Golden C, Resendiz C, Scott B, Farias G, York M, Lozano V, Mahoney M, Strutt A, Hernandez Mejia M, Puente A, Bure-Reyes A, Fonseca F, Baez V, Alvarez J, Browne B, Coad S, Jiminez Y, Cortes L, Golden C, Bure-Reyes A, Pacheco E, Homs A, Acevedo A, Ownby R, Nici J, Hom J, Lutz J, Dean R, Finch H, Pierce S, Moses J, Mann S, Feinberg J, Choi A, Kaminetskaya M, Pierce C, Zacharewicz M, Axelrod B, Gavett B, Horwitz J, Edwards M, O'Bryant S, Ory J, Gouvier W, Carbuccia K, Ory J, Carbuccia K, Gouvier W, Morra L, Garcon S, Lucas M, Donovick P, Whearty K, Campbell K, Camlic S, Donovick P, Edwards M, Balldin V, Hall J, Strutt A, Pavlik V, Marquez de la Plata C, Cullum C, Lacritz L, Reisch J, Massman P, Barber R, Royall D, Younes S, O'Bryant S, Brinckman D, Schultheis M, Ehrhart L, Weisser V, Medaglia J, Merzagora A, Reckess G, Ho T, Testa S, Gordon B, Schretlen D, Woolery H, Farcello C, Klimas N, Thaler N, Allen D, Meyer J, Vargas G, Rabinowitz A, Barwick F, Arnett P, Womble M, Rohling M, Hill B, Corley E, Drayer K, Rohling M, Ploetz D, Womble M, Hill B, Baldock D, Ringdahl E, Sutton G, Thaler N, Allen D, Galusha J, Schmitt A, Livingston R, Stewart R, Quarles L, Pagitt M, Barke C, Baker A, Baker N, Cook N, Ahern D, Correia S, Resnik L, Barnabe K, Gnepp D, Benjamin M, Zlatar Z, Garcia A, Harnish S, Crosson B, Rickards T, Mark V, Taub E, Sterling C, Vaughan L, Uswatte G, Fedio A, Sexton J, Cummings S, Logemann A, Lassiter N, Fedio P, Gremillion A, Nemeth D, Whittington T, Hansen R, Reckow J, Ferraro F, Lewandowski C, Cole J, Lewandowski A, Spector J, Ford-Johnson L, Lengenfelder J, Genova H, Sumowski J, DeLuca J, Chiaravalloti N, Loughan A, Perna R, Hertza J, Morse C, McKeever J, Zhao L, Leist T, Schultheis M, Marcinak J, Piecora K, Al-Khalil K, Webbe F, Mulligan K, Robbins J, Berthelson L, Martin P, Golden C, Piecora K, Marcinak J, Al-Khalil K, Webbe F, Mulligan K, Stewart J, Acevedo A, Ownby R, Thompson L, Kowalczyk W, Golub S, Davis A, Lemann E, Piehl J, Rita N, Moss L, Davis A, Boseck J, Berry K, Koehn E, Meyer B, Gelder B, Davis A, Nogin R, Moss L, Drapeau C, Malm S, Davis A, Lemann E, Koehn E, Drapeau C, Malm S, Boseck J, Armstrong L, Glidewell R, Orr W, Mears G. Grand Rounds. Arch Clin Neuropsychol 2012. [DOI: 10.1093/arclin/acs070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Hamshere ML, O’Donovan MC, Jones IR, Jones L, Kirov G, Green EK, Moskvina V, Grozeva D, Bass N, McQuillin A, Gurling H, St Clair D, Young AH, Ferrier IN, Farmer A, McGuffin P, Sklar P, Purcell S, Holmans PA, Owen MJ, Craddock N. Polygenic dissection of the bipolar phenotype. Br J Psychiatry 2011; 198:284-8. [PMID: 21972277 PMCID: PMC3065773 DOI: 10.1192/bjp.bp.110.087866] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Recent data provide strong support for a substantial common polygenic contribution (i.e. many alleles each of small effect) to genetic susceptibility for schizophrenia and overlapping susceptibility for bipolar disorder. AIMS To test hypotheses about the relationship between schizophrenia and psychotic types of bipolar disorder. METHOD Using a polygenic score analysis to test whether schizophrenia polygenic risk alleles, en masse, significantly discriminate between individuals with bipolar disorder with and without psychotic features. The primary sample included 1829 participants with bipolar disorder and the replication sample comprised 506 people with bipolar disorder. RESULTS The subset of participants with Research Diagnostic Criteria schizoaffective bipolar disorder (n = 277) were significantly discriminated from the remaining participants with bipolar disorder (n = 1552) in both the primary (P = 0.00059) and the replication data-sets (P = 0.0070). In contrast, those with psychotic bipolar disorder as a whole were not significantly different from those with non-psychotic bipolar disorder in either data-set. CONCLUSIONS Genetic susceptibility influences at least two major domains of psychopathological variation in the schizophrenia-bipolar disorder clinical spectrum: one that relates to expression of a 'bipolar disorder-like' phenotype and one that is associated with expression of 'schizophrenia-like' psychotic symptoms.
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Perlis RH, Huang J, Purcell S, Fava M, Rush AJ, Sullivan PF, Hamilton SP, McMahon FJ, Schulze T, Potash JB, Zandi PP, Willour VL, Penninx BW, Boomsma DI, Vogelzangs N, Middeldorp CM, Rietschel M, Nöthen M, Cichon S, Gurling H, Bass N, McQuillin A, Hamshere M, Craddock N, Sklar P, Smoller JW, Smoller JW. Genome-wide association study of suicide attempts in mood disorder patients. Am J Psychiatry 2010; 167:1499-507. [PMID: 21041247 PMCID: PMC3795390 DOI: 10.1176/appi.ajp.2010.10040541] [Citation(s) in RCA: 113] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Family and twin studies suggest that liability for suicide attempts is heritable and distinct from mood disorder susceptibility. The authors therefore examined the association between common genomewide variation and lifetime suicide attempts. METHOD The authors analyzed data on lifetime suicide attempts from genomewide association studies of bipolar I and II disorder as well as major depressive disorder. Bipolar disorder subjects were drawn from the Systematic Treatment Enhancement Program for Bipolar Disorder cohort, the Wellcome Trust Case Control Consortium bipolar cohort, and the University College London cohort. Replication was pursued in the NIMH Genetic Association Information Network bipolar disorder project and a German clinical cohort. Depression subjects were drawn from the Sequential Treatment Alternatives to Relieve Depression cohort, with replication in the Netherlands Study of Depression and Anxiety/Netherlands Twin Register depression cohort. RESULTS Strongest evidence of association for suicide attempt in bipolar disorder was observed in a region without identified genes (rs1466846); five loci also showed suggestive evidence of association. In major depression, strongest evidence of association was observed for a single nucleotide polymorphism in ABI3BP, with six loci also showing suggestive association. Replication cohorts did not provide further support for these loci. However, meta-analysis incorporating approximately 8,700 mood disorder subjects identified four additional regions that met the threshold for suggestive association, including the locus containing the gene coding for protein kinase C-epsilon, previously implicated in models of mood and anxiety. CONCLUSIONS The results suggest that inherited risk for suicide among mood disorder patients is unlikely to be the result of individual common variants of large effect. They nonetheless provide suggestive evidence for multiple loci, which merit further investigation.
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Strydom A, Shooshtari S, Lee L, Raykar V, Torr J, Tsiouris J, Jokinen N, Courtenay K, Bass N, Sinnema M, Maaskant M. Dementia in Older Adults With Intellectual Disabilities-Epidemiology, Presentation, and Diagnosis. Journal of Policy and Practice in Intellectual Disabilities 2010. [DOI: 10.1111/j.1741-1130.2010.00253.x] [Citation(s) in RCA: 98] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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Lydall G, Bass N, McQuillin A, Anjorin A, Kandaswamy R, Pereira A, Guerrini I, Curtis D, Vine A, Sklar P, Purcell S, Gurling H. PW01-232 - Connectivity genes in comorbid alcoholism and bipolar disorder. Eur Psychiatry 2010. [DOI: 10.1016/s0924-9338(10)71639-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Hennah W, Thomson P, McQuillin A, Bass N, Loukola A, Anjorin A, Blackwood D, Curtis D, Deary IJ, Harris SE, Isometsä ET, Lawrence J, Lönnqvist J, Muir W, Palotie A, Partonen T, Paunio T, Pylkkö E, Robinson M, Soronen P, Suominen K, Suvisaari J, Thirumalai S, St Clair D, Gurling H, Peltonen L, Porteous D. DISC1 association, heterogeneity and interplay in schizophrenia and bipolar disorder. Mol Psychiatry 2009; 14:865-73. [PMID: 18317464 DOI: 10.1038/mp.2008.22] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Disrupted in schizophrenia 1 (DISC1) has been associated with risk of schizophrenia, schizoaffective disorder, bipolar disorder, major depression, autism and Asperger syndrome, but apart from in the original translocation family, true causal variants have yet to be confirmed. Here we report a harmonized association study for DISC1 in European cohorts of schizophrenia and bipolar disorder. We identify regions of significant association, demonstrate allele frequency heterogeneity and provide preliminary evidence for modifying interplay between variants. Whereas no associations survived permutation analysis in the combined data set, significant corrected associations were observed for bipolar disorder at rs1538979 in the Finnish cohorts (uncorrected P=0.00020; corrected P=0.016; odds ratio=2.73+/-95% confidence interval (CI) 1.42-5.27) and at rs821577 in the London cohort (uncorrected P=0.00070; corrected P=0.040; odds ratio=1.64+/-95% CI 1.23-2.19). The rs821577 single nucleotide polymorphism (SNP) showed evidence for increased risk within the combined European cohorts (odds ratio=1.27+/-95% CI 1.07-1.51), even though significant corrected association was not detected (uncorrected P=0.0058; corrected P=0.28). After conditioning the European data set on the two risk alleles, reanalysis revealed a third significant SNP association (uncorrected P=0.00050; corrected P=0.025). This SNP showed evidence for interplay, either increasing or decreasing risk, dependent upon the presence or absence of rs1538979 or rs821577. These findings provide further support for the role of DISC1 in psychiatric illness and demonstrate the presence of locus heterogeneity, with the effect that clinically relevant genetic variants may go undetected by standard analysis of combined cohorts.
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Affiliation(s)
- W Hennah
- Medical Genetics Section, University of Edinburgh, Edinburgh EH4 2XU, Scotland.
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Perlis RH, Smoller JW, Ferreira MAR, McQuillin A, Bass N, Lawrence J, Sachs GS, Nimgaonkar V, Scolnick EM, Gurling H, Sklar P, Purcell S. A genomewide association study of response to lithium for prevention of recurrence in bipolar disorder. Am J Psychiatry 2009; 166:718-25. [PMID: 19448189 PMCID: PMC3908470 DOI: 10.1176/appi.ajp.2009.08111633] [Citation(s) in RCA: 123] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Lithium remains a first-line treatment for bipolar disorder, but the mechanisms by which it prevents the recurrence of mood episodes are not known. The authors utilized data from a genomewide association study to examine associations between single nucleotide polymorphisms (SNPs) and the outcome of lithium treatment in two cohorts of patients with bipolar I disorder or bipolar II disorder. METHOD The hazard for mood episode recurrence was examined among 1,177 patients with bipolar I disorder or bipolar II disorder, including 458 individuals treated with lithium carbonate or citrate, who were participants in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) cohort. SNPs showing the greatest evidence of association in Cox regression models were then examined for association with positive lithium response among 359 bipolar I or II disorder patients treated with lithium carbonate or citrate in a second cohort from the University College London. RESULTS The strongest association in the STEP-BD cohort (minimum p=5.5 x 10(-7)) was identified for a region on chromosome 10p15 (rs10795189). Of the regions showing suggestive evidence (p<5 x 10(-4)) of association with lithium response, five were further associated with positive lithium response in the University College London cohort, including SNPs in a region on chromosome 4q32 spanning a gene coding for the glutamate/alpha-amino-3-hydroxy-5-methyl-4-isoxazolpropionate (AMPA) receptor GRIA2. CONCLUSIONS Multiple novel loci merit further examination for association with lithium response in bipolar disorder patients, including one region that spans the GRIA2 gene, for which expression has been shown to be regulated by lithium treatment.
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Affiliation(s)
- Roy H Perlis
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
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Golden J, Bass N, Hays S, Leard L, Kleinhenz M, Hoopes C. 154: Pre-lung transplant immunosuppression assessment of candidates with risk of possible hepatitis C (HCV) post-transplantation. J Heart Lung Transplant 2007. [DOI: 10.1016/j.healun.2006.11.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Enns GM, Hoppel CL, DeArmond SJ, Schelley S, Bass N, Weisiger K, Horoupian D, Packman S. Relationship of primary mitochondrial respiratory chain dysfunction to fiber type abnormalities in skeletal muscle. Clin Genet 2005; 68:337-48. [PMID: 16143021 DOI: 10.1111/j.1399-0004.2005.00499.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Variation in the size and relative proportion of type 1 and type 2 muscle fibers can occur in a number of conditions, including structural myopathies, neuropathies, and various syndromes. In most cases, the pathogenesis of such fiber type changes is unknown and the etiology is heterogeneous. Skeletal muscle mitochondrial respiratory chain analysis was performed in 10 children aged 3 weeks to 5 years with abnormalities in muscle fiber type, size, and proportion. Five children were classified as having definite, four as probable, and one as possible mitochondrial disease. Type 1 fiber predominance was the most common histological finding (six of 10). On light microscopy, four cases had subtle concomitants of a mitochondriopathy, including mildly increased glycogen, lipid, and/or succinate dehydrogenase staining, and one case had more prominent evidence of underlying mitochondrial disease with marked subsarcolemmal staining. Most cases (nine of 10) had abnormal mitochondrial morphology on electron microscopy. All were found to have mitochondrial electron transport chain (ETC) abnormalities and met diagnostic criteria for mitochondrial disease. We did not ascertain any patients who had isolated fiber type abnormalities and normal respiratory chain analysis during the period of study. We conclude that mitochondrial ETC disorders may represent an etiology of at least a subset of muscle fiber type abnormalities. To establish an etiologic diagnosis and to determine the frequency of such changes in mitochondrial disease, we suggest analysis of ETC function in individuals with fiber type changes in skeletal muscle, even in the absence of light histological features suggestive of mitochondrial disorders.
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Affiliation(s)
- G M Enns
- Department of Pediatrics, Stanford University, Stanford, CA 94305-5208, USA.
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Efthymiopoulos C, Bramer SL, Maroli A, Flaherty JF, Wolfe E, Bass N, Somberg K. Grepafloxacin pharmacokinetics in individuals with hepatic dysfunction. Clin Pharmacokinet 2001; 33 Suppl 1:25-31. [PMID: 9433653 DOI: 10.2165/00003088-199700331-00006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The pharmacokinetics of grepafloxacin, a new broad spectrum fluoroquinolone antibiotic, were studied in 2 trials involving 14 healthy volunteers, 10 individuals with mild (Child-Pugh Class A) impairment of liver function, and 12 with moderate (Child-Pugh Class B or C) hepatic impairment. All participants received an oral dose of grepafloxacin 400 mg, daily for 7 days, and plasma and urine grepafloxacin concentrations were measured over 7 days. The pooled data from participants with impaired liver function showed that, compared with healthy individuals, peak plasma grepafloxacin concentrations, area under the plasma concentration-time curve and proportion of the dose excreted in the urine were increased. In addition, apparent total clearance was reduced in the presence of hepatic dysfunction. Peak concentrations were increased by 36% and 48% in individuals with Class A and B disease, respectively; the corresponding reductions in clearance were 33% and 55%, respectively. Child-Pugh scores and components of the scores showed no correlation with any pharmacokinetic variables. Based on these findings, we recommend a daily grepafloxacin dose of 400 mg in patients with mild hepatic impairment, irrespective of the severity of infection. Grepafloxacin should not be used in patients with moderate or severe liver disease.
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Park SY, Glaser C, Murray WJ, Kazacos KR, Rowley HA, Fredrick DR, Bass N. Raccoon roundworm (Baylisascaris procyonis) encephalitis: case report and field investigation. Pediatrics 2000; 106:E56. [PMID: 11015551 DOI: 10.1542/peds.106.4.e56] [Citation(s) in RCA: 59] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Baylisascaris procyonis is a common and widespread parasite of raccoons in the United States and Canada. With large raccoon populations occurring in many areas, the potential risk of human infection with B procyonis is high. We report a case of severe raccoon roundworm (B procyonis) encephalitis in a young child to illustrate the unique clinical, diagnostic, and treatment aspects, as well as public health concerns of B procyonis infection. Acute and convalescent serum and cerebrospinal fluid samples from the patient were tested for antibodies against B procyonis to assist in documenting infection. An extensive field survey of the patient's residence and the surrounding community was performed to investigate raccoon abundance and to determine the extent of raccoon fecal contamination and B procyonis eggs in the environment. The patient evidenced serologic conversion, and the field investigation demonstrated a raccoon population far in excess of anything previously reported. There was abundant evidence of B procyonis eggs associated with numerous sites of raccoon defecation around the patient's residence and elsewhere in the community. Because B procyonis can produce such severe central nervous system disease in young children, it is important that pediatricians are familiar with this infection. The public should be made aware of the hazards associated with raccoons and B procyonis to hopefully prevent future cases of B procyonis infection.
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Affiliation(s)
- S Y Park
- Division of Pediatric Infectious Diseases, University of California, San Francisco, San Francisco, California 94143-0136, USA.
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Reynoso-Paz S, Leung PS, Van De Water J, Tanaka A, Munoz S, Bass N, Lindor K, Donald PJ, Coppel RL, Ansari AA, Gershwin ME. Evidence for a locally driven mucosal response and the presence of mitochondrial antigens in saliva in primary biliary cirrhosis. Hepatology 2000; 31:24-9. [PMID: 10613723 DOI: 10.1002/hep.510310106] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Primary biliary cirrhosis (PBC) is often considered to be a dry gland disease caused by frequent involvement of salivary and lacrimal glands. Although high titers of antimitochondrial autoantibodies (AMA) have long been recognized in PBC, little is known about the presence of mitochondrial autoantigens in mucosal compartments such as saliva. We investigated saliva and sera in PBC patients and controls for the presence of AMA and mitochondrial antigens. In PBC saliva, AMA were detected in 45 of 49 (92%), with specificity directed against pyruvate dehydrogenase complex (PDC-E2) alone in 22 of 49 (45%), against PDC-E2 and branched-chain 2-oxo-acid dehydrogenase complex E2 (BCOADC-E2) in 4 of 49 (8%), to PDC-E2 and 2-oxoglutarate dehydrogenase complex E2 (OGDC-E2) in 9 of 49 (18%), and to the 3 antigens together in 10 of 49 (20%). Isotyping of the saliva AMA showed that 80% of the patients had immunoglobulin A (IgA) against PDC-E2, 18% had IgM-specific PDC-E2, and 35% had IgG specific PDC-E2. Similar to serum and bile anti-PDC-E2 IgA antibodies, the saliva autoantibodies localized their reactivity to the inner lipoyl domain of PDC-E2. Furthermore, saliva from patients with PBC but not controls inhibited pyruvate dehydrogenase enzyme activity in vitro. In addition, and of particular interest, we detected a molecule with a molecular weight corresponding to PDC-E2 (74 kd) in PBC but not control saliva. These findings make several important points: first, there appears to be localized mucosal immunity in the secretory system of PBC; second, AMA are readily detected in PBC saliva; and third, PDC-E2 may be present in the saliva of PBC.
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Affiliation(s)
- S Reynoso-Paz
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis, School of Medicine, Davis, CA 95616, USA
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Abstract
Cerebral palsy refers to a neurologic disorder of motor skills that is static in nature and is the result of injury to the brain before its development is complete. Many neurodegenerative or metabolic disorders have a slow rate of progression and can be misdiagnosed as cerebral palsy. Diseases that have been misdiagnosed as cerebral palsy are presented here to provide the clinician with framework for the complex evaluation of these patients.
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Affiliation(s)
- N Bass
- University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio, USA
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Laval SH, Dann JC, Butler RJ, Loftus J, Rue J, Leask SJ, Bass N, Comazzi M, Vita A, Nanko S, Shaw S, Peterson P, Shields G, Smith AB, Stewart J, DeLisi LE, Crow TJ. Evidence for linkage to psychosis and cerebral asymmetry (relative hand skill) on the X chromosome. Am J Med Genet 1998; 81:420-7. [PMID: 9754628 DOI: 10.1002/(sici)1096-8628(19980907)81:5<420::aid-ajmg11>3.0.co;2-e] [Citation(s) in RCA: 76] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The hypothesis that psychosis arises as a part of the genetic diversity associated with the evolution of language generates the prediction that illness will be linked to a gene determining cerebral asymmetry, which, from the evidence of sex chromosome aneuploidies, is present in homologous form on the X and Y chromosomes. We investigated evidence of linkage to markers on the X chromosome in 1) 178 families multiply affected with schizophrenia or schizoaffective disorder with a series of 16 markers spanning the centromere (study 1), and 2) 180 pairs of left-handed brothers with 14 markers spanning the whole chromosome (study 2). In study 1, excess allele-sharing was observed in brother-brother pairs (but not brother-sister or a small sample of sister-sister pairs) over a region of approximately 20 cM, with a maximum LOD score of 1.5 at DXS991. In study 2, an association between allele-sharing and degree of left-handedness was observed extending over approximately 60 cM, with a maximum lod score of 2.8 at DXS990 (approximately 20 cM from DXS991). Within the overlap of allele-sharing is located a block in Xq21 that transposed to the Y chromosome in recent hominid evolution and is now represented as two segments on Yp. In one of two XX males with psychosis we found that the breakpoint on the Y is located within the distal region of homology to the block in Xq21. These findings are consistent with the hypothesis that an X-Y homologous determinant of cerebral asymmetry carries the variation that contributes to the predisposition to psychotic illness.
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Affiliation(s)
- S H Laval
- Department of Psychiatry, Warneford Hospital, Oxford, UK
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Barkovich AJ, Ali FA, Rowley HA, Bass N. Imaging patterns of neonatal hypoglycemia. AJNR Am J Neuroradiol 1998; 19:523-8. [PMID: 9541312 PMCID: PMC8338271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE Our purpose was to report the patterns of injury observed in five patients who suffered brain damage consequent to neonatal hypoglycemia. METHODS The imaging studies and clinical records of five patients with brain damage caused by neonatal hypoglycemia were reviewed retrospectively. Patterns of injury were compared with those described in the literature and those seen in neonatal hypoxic-ischemic injury. RESULTS Diffuse cortical and subcortical white matter damage was seen, with the parietal and occipital lobes affected most severely. Globus pallidus injury was present in one patient who had the most severe cortical injury. CONCLUSION We found a specific pattern of injury that correlates well with the sparse pathologic and imaging reports on neonatal hypoglycemia. We speculate that the patterns of damage are the result of regional hypoperfusion and excitatory toxicity with cell-type-specific injury.
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Affiliation(s)
- A J Barkovich
- Department of Radiology, University of California, San Francisco, 94143, USA
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Barkovich AJ, Ferriero DM, Bass N, Boyer R. Involvement of the pontomedullary corticospinal tracts: a useful finding in the diagnosis of X-linked adrenoleukodystrophy. AJNR Am J Neuroradiol 1997; 18:95-100. [PMID: 9010525 PMCID: PMC8337858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE To determine whether pontomedullary corticospinal tract involvement is a common and specific finding of adrenoleukodystrophy on MR images. METHODS MR images of 10 patients with biochemically proved adrenoleukodystrophy who were examined during the last 6 years were reviewed retrospectively to determine the frequency of corticospinal tract involvement in the medulla, pons, mesencephalon, internal capsules, and corona radiata. MR images of 10 patients with other leukodystrophies (three with Krabbe disease, two with Alexander disease, two with metachromatic leukodystrophy, two with Pelizaeus-Merzbacher disease, and one with Canavan disease) were reviewed with specific attention to the pontomedullary corticospinal tracts. RESULTS Medullary and pontine corticospinal tract involvement was present in eight of the 10 patients with adrenoleukodystrophy. Mesencephalic and internal capsular involvement was present in three patients. The coronal radiata portion of the corticospinal tracts was not involved in any of the 10 patients. No pontomedullary corticospinal tract involvement was identified in any of the 10 patients with other leukodystrophies. The difference in the frequency of pontomedullary corticospinal tract involvement between the two groups was highly significant. CONCLUSION Pontomedullary corticospinal tract involvement is a common finding in adrenoleukodystrophy and is unusual in other leukodystrophies. Awareness of this finding can facilitate the radiologic diagnosis of this disease and may expedite management of affected patients.
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Affiliation(s)
- A J Barkovich
- Department of Radiology, University of California, San Francisco 94143, USA
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Kazmers A, Koski ME, Groehn H, Oust G, Meeker C, Bickford-Laub T, Abson K, Bass N. Assessment of noninvasive lower extremity arterial testing versus pulse exam. Am Surg 1996; 62:315-9. [PMID: 8600856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Palpation of pedal pulses was compared to noninvasive testing in 100 patients referred to a vascular laboratory. Subjects were 65 +/- 13 (mean +/- s.d.) years old. The right dorsalis pedis (DP) artery served as the reference artery for comparison of Doppler studies with physical examination of the pulses. Absolute Doppler pressures in the right DP were 129 +/- 50 mm Hg. The right ankle:brachial index (ABI) was 0.86 +/- 0.32. There were significant differences in ABI in those with (0.68 +/- 0.28) vs without (0.95 +/- 0.31) claudication in either extremity (p < 0.001). Rest pain was also associated with lower ABI (P < 0.04). Diabetics, hypertensives, claudicants and those with ischemic rest pain were less likely to have palpable pulses (P < 0.035). With right DP pressure >/= 118 mm Hg, 63 per cent of subjects had a palpable DP pulse, whereas 68 per cent with ABI > 0.82 had a palpable right DP. Of those (n = 35) with a right DP pressure < 118 mm Hg, only 6 per cent (n = 2) had a palpable pulse, whereas 5 per cent (2/40) with ABI </= 0.82 had palpable DP pulses. Based on these findings, it was predicted that a pulse would likely not be palpable in the left DP with a pressure < 118 mm Hg or with AB </= 0.82. The prediction based on systolic ankle pressures was correct, with 66 per cent sensitivity and 91 per cent specificity. The predication that a left DP pulse would not be palpable with AB </= 0.82 was more accurate (78% sensitive, 97% specific). Presence of a palpable DP pulse suggests the presence of a Doppler pressure >/= 188 mm Hg and ABI > 0.82. The range of ankle pressures with palpable right DP pulses was 64-220 mm Hg, whereas the range with nonpalpable DP was 42-300 mm Hg. Given the frequent disparity of pulse exam and ankle pressures, noninvasive Doppler testing may be necessary for many patients to accurately assess the vascular status of the leg.
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Affiliation(s)
- A Kazmers
- Vascular Surgery Laboratory, Harper Hospital, Detroit, Michigan, 48201, USA
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DeLisi LE, Lofthouse R, Lehner T, Morganti C, Vita A, Shields G, Bass N, Ott J, Crow TJ. Failure to find a chromosome 18 pericentric linkage in families with schizophrenia. Am J Med Genet 1995; 60:532-4. [PMID: 8825890 DOI: 10.1002/ajmg.1320600609] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
A recent report of a possible linkage of bipolar affective disorder to a pericentric region of chromosome 18 initiated the present investigation to search for a similar linkage in 32 families with schizophrenia. The results of a study using 5 markers mapped to this region show negative lod scores and only weak evidence for any linkage by nonparametric analyses. If the previously reported finding is a true positive linkage for bipolar disorder, then either it is unlikely to be related to the genetics of schizophrenia, or the proportion of families linked to this region is small.
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Affiliation(s)
- L E DeLisi
- Department of Psychiatry, SUNY Stony Brook 11794, USA
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Abstract
RATIONALE Some types of seizures in children may be difficult to recognize; the diagnosis of seizures arising near the mesial posterior frontal supplementary sensorimotor area (SSMA) may be especially challenging. Such seizures have been well described in adults, but few pediatric cases have been reported even though onset is typically in childhood. METHODS We studied 11 children and adolescents with SSMA seizures diagnosed by prolonged video electroencephalography (EEG). RESULTS Mean age at onset was 5.8 years, and diagnosis by video EEG was made at a mean age of 12 years. Children had at least borderline intelligence and few abnormal findings on neurologic examination. Seizures were typically brief, frequent, and predominantly nocturnal, with bilateral tonic posturing, gross proximal limb movements, and preserved consciousness. Magnetic resonance imaging showed normal findings or a superior or mesial posterior frontal tumor or cortical dysplasia. Routine EEG findings were usually normal, but prolonged EEG showed epileptiform discharges over the vertex. Seizure onset in the region of the SSMA was confirmed by subdural EEG in six patients who were studied for epilepsy surgery. Five patients had seizure-free outcome or worthwhile improvement after operation. Two nonoperated patients are seizure-free on antiepileptic medication, and three are undergoing surgical evaluation. CONCLUSIONS Diagnosis of SSMA seizures in children may be challenging because of unusual symptoms (bilateral tonic limb involvement with preserved consciousness) and frequently normal routine EEG findings. Video EEG may be necessary for diagnosis, and magnetic resonance imaging may reveal a focal lesion. Increased recognition of this seizure type in pediatric patients should lead to earlier diagnosis for optimal medical or surgical treatment.
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Affiliation(s)
- N Bass
- Department of Neurology, Cleveland Clinic Foundation, Ohio 44195-5221, USA
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Henn S, Bass N, Shields G, Crow TJ, DeLisi LE. Affective illness and schizophrenia in families with multiple schizophrenic members: independent illnesses or variant gene(s)? Eur Neuropsychopharmacol 1995; 5 Suppl:31-6. [PMID: 8775756 DOI: 10.1016/0924-977x(95)00026-l] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Affective disorder occurs in some families with schizophrenia, and schizophrenic patients often describe concurrent episode(s) of depression that may lead them to be diagnosed schizoaffective. The present study examines the pattern of affective disorder in families with two or more members with schizophrenia or schizoaffective disorder. We find that affective disorders are more frequently inherited from the same parental side of the family as schizophrenia-like psychosis. When unipolar, it more often is expressed in female than male relatives (particularly mothers), and when bipolar it is more likely in males. In contrast, schizophrenia with and without depression is equally prevalent in both sexes. Unipolar illness was more common in relatives of schizophrenics whose illnesses are characterized by recurrent episodes of depression than in those whose are not. These data are consistent with the hypothesis that the same genes could contribute to susceptibility to both schizophrenia and affective disorder in some families, and that sex and phenotypic expression are in some way related. However, the phenomenon of high rates of depression in mothers of schizophrenic patients needs explanation.
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Affiliation(s)
- S Henn
- Department of Psychiatry, SUNY Stony Brook 11794, USA
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Abernethy M, Bass N, Sharpe N, Grant C, Neutze J, Clarkson P, Greaves S, Lennon D, Snow S, Whalley G. Doppler echocardiography and the early diagnosis of carditis in acute rheumatic fever. Aust N Z J Med 1994; 24:530-5. [PMID: 7848157 DOI: 10.1111/j.1445-5994.1994.tb01753.x] [Citation(s) in RCA: 54] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND The incidence of acute rheumatic fever in New Zealand remains relatively high. Reliable early diagnosis of carditis is difficult and important in management. AIM To determine if Doppler echocardiography contributed to the early diagnosis of carditis in acute rheumatic fever. METHODS Forty-seven patients admitted to hospital with suspected acute rheumatic fever and 19 control patients, with a febrile illness due to a documented non-cardiac bacterial infection, were assessed two days and two weeks following admission. Presence or absence of clinical carditis was determined by a cardiologist unaware of the suspected diagnosis, from clinical examination, chest radiograph, electrocardiogram (ECG) and two dimensional echocardiogram. Doppler echocardiography was then performed and interpreted by a second cardiologist unaware of the diagnosis. After completion of the study the Jones criteria were applied, to categorise the patients with suspected acute rheumatic fever into four groups for the final diagnosis: no acute rheumatic fever, possible acute rheumatic fever, definite acute rheumatic fever without carditis, and definite acute rheumatic fever with carditis. RESULTS In 19 patients with a final diagnosis of acute rheumatic fever and carditis at the baseline assessment carditis was detected by clinical assessment in 15 patients, compared with 19 patients with evidence of significant valve regurgitation by Doppler echocardiography. Following the two week assessment, all 19 patients had both clinical and Doppler evidence of carditis. Five patients with a final clinical diagnosis of possible acute rheumatic fever or definite acute rheumatic fever without carditis, had a Doppler abnormality detected. There was no clinical or Doppler abnormality in the febrile controls. CONCLUSIONS Doppler echocardiography is more sensitive than clinical assessment in the detection of carditis in acute rheumatic fever, and can contribute to earlier diagnosis.
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Affiliation(s)
- M Abernethy
- Department of Medicine, University of Auckland School of Medicine, New Zealand
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Abstract
Lipopeliosis is an unusual liver lesion in which sinusoids become engorged by fat globules. It arises in newly transplanted donor livers that display varying degrees of fatty change. If, after transplantation, hepatocyte necrosis secondary to ischemic or preservation injury occurs, the fat escaping the hepatocytes becomes sequestered in the sinusoidal spaces. We previously described this lesion in a case report; we now describe four more cases to define better the incidence, immunohistochemical features, and clinical spectrum. Of 101 transplanted livers, the lesion was noted in five of 28 (18%), with both preservation injury and mild to moderate fatty change present 1 week following transplantation. Factor VIII-related antigen, collagen IV immunoperoxidase, and oil red O stains confirmed the engorgement of sinusoids by fat droplets, and a stain for CD68-positive cells identified a macrophage reaction around the fat droplets. The patient in our original report developed severe graft dysfunction with residual scarring of the centrilobular zone. Two of the four additional cases had no residual side effects from the lipopeliosis; however, two cases were associated with loss of graft. We conclude that lipopeliosis may be fairly common (5% of transplants). Its clinical outcome can vary greatly and most probably depends on the extent of hepatocellular necrosis.
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Affiliation(s)
- I Cha
- Department of Laboratory Medicine, School of Medicine, University of California, San Francisco 94143
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DeLisi LE, Devoto M, Lofthouse R, Poulter M, Smith A, Shields G, Bass N, Chen G, Vita A, Morganti C. Search for linkage to schizophrenia on the X and Y chromosomes. Am J Med Genet 1994; 54:113-21. [PMID: 8074161 DOI: 10.1002/ajmg.1320540206] [Citation(s) in RCA: 52] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Markers for X chromosome loci were used in linkage studies of a large group of small families (n = 126) with at least two schizophrenic members in one sibship. Based on the hypothesis that a gene for schizophrenia could be X-Y linked, with homologous loci on both X and Y, our analyses included all families regardless of the pattern of familial inheritance. Lod scores were computed with both standard X-linked and a novel X-Y model, and sib-pair analyses were performed for all markers examining the sharing of maternal alleles. Small positive lod scores were obtained for loci pericentromeric, from Xp11.4 to Xq12. Lod scores were also computed separately in families selected for evidence of maternal inheritance and absence of male to male transmission of psychosis. The lod score for linkage to the locus DXS7 reached a maximum of 1.83 at 0.08% recombination, assuming dominant inheritance on the X chromosome in these families (n = 34). Further investigation of the X-Y homologous gene hypothesis focussing on this region is warranted.
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Affiliation(s)
- L E DeLisi
- Department of Psychiatry, SUNY Stony Brook 11794
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