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Strom NI, Gerring ZF, Galimberti M, Yu D, Halvorsen MW, Abdellaoui A, Rodriguez-Fontenla C, Sealock JM, Bigdeli T, Coleman JR, Mahjani B, Thorp JG, Bey K, Burton CL, Luykx JJ, Zai G, Alemany S, Andre C, Askland KD, Banaj N, Barlassina C, Nissen JB, Bienvenu OJ, Black D, Bloch MH, Boberg J, Børte S, Bosch R, Breen M, Brennan BP, Brentani H, Buxbaum JD, Bybjerg-Grauholm J, Byrne EM, Cabana-Dominguez J, Camarena B, Camarena A, Cappi C, Carracedo A, Casas M, Cavallini MC, Ciullo V, Cook EH, Crosby J, Cullen BA, De Schipper EJ, Delorme R, Djurovic S, Elias JA, Estivill X, Falkenstein MJ, Fundin BT, Garner L, German C, Gironda C, Goes FS, Grados MA, Grove J, Guo W, Haavik J, Hagen K, Harrington K, Havdahl A, Höffler KD, Hounie AG, Hucks D, Hultman C, Janecka M, Jenike E, Karlsson EK, Kelley K, Klawohn J, Krasnow JE, Krebs K, Lange C, Lanzagorta N, Levey D, Lindblad-Toh K, Macciardi F, Maher B, Mathes B, McArthur E, McGregor N, McLaughlin NC, Meier S, Miguel EC, Mulhern M, Nestadt PS, Nurmi EL, O’Connell KS, Osiecki L, Ousdal OT, Palviainen T, Pedersen NL, Piras F, Piras F, Potluri S, Rabionet R, Ramirez A, Rauch S, Reichenberg A, Riddle MA, Ripke S, Rosário MC, Sampaio AS, Schiele MA, Skogholt AH, Sloofman LGSG, Smit J, Soler AM, Thomas LF, Tifft E, Vallada H, van Kirk N, Veenstra-VanderWeele J, Vulink NN, Walker CP, Wang Y, Wendland JR, Winsvold BS, Yao Y, Zhou H, Agrawal A, Alonso P, Berberich G, Bucholz KK, Bulik CM, Cath D, Denys D, Eapen V, Edenberg H, Falkai P, Fernandez TV, Fyer AJ, Gaziano JM, Geller DA, Grabe HJ, Greenberg BD, Hanna GL, Hickie IB, Hougaard DM, Kathmann N, Kennedy J, Lai D, Landén M, Le Hellard S, Leboyer M, Lochner C, McCracken JT, Medland SE, Mortensen PB, Neale BM, Nicolini H, Nordentoft M, Pato M, Pato C, Pauls DL, Piacentini J, Pittenger C, Posthuma D, Ramos-Quiroga JA, Rasmussen SA, Richter MA, Rosenberg DR, Ruhrmann S, Samuels JF, Sandin S, Sandor P, Spalletta G, Stein DJ, Stewart SE, Storch EA, Stranger BE, Turiel M, Werge T, Andreassen OA, Børglum AD, Walitza S, Hveem K, Hansen BK, Rück CP, Martin NG, Milani L, Mors O, Reichborn-Kjennerud T, Ribasés M, Kvale G, Mataix-Cols D, Domschke K, Grünblatt E, Wagner M, Zwart JA, Breen G, Nestadt G, Kaprio J, Arnold PD, Grice DE, Knowles JA, Ask H, Verweij KJ, Davis LK, Smit DJ, Crowley JJ, Scharf JM, Stein MB, Gelernter J, Mathews CA, Derks EM, Mattheisen M. Genome-wide association study identifies 30 obsessive-compulsive disorder associated loci. medRxiv 2024:2024.03.13.24304161. [PMID: 38712091 PMCID: PMC11071577 DOI: 10.1101/2024.03.13.24304161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Obsessive-compulsive disorder (OCD) affects ~1% of the population and exhibits a high SNP-heritability, yet previous genome-wide association studies (GWAS) have provided limited information on the genetic etiology and underlying biological mechanisms of the disorder. We conducted a GWAS meta-analysis combining 53,660 OCD cases and 2,044,417 controls from 28 European-ancestry cohorts revealing 30 independent genome-wide significant SNPs and a SNP-based heritability of 6.7%. Separate GWAS for clinical, biobank, comorbid, and self-report sub-groups found no evidence of sample ascertainment impacting our results. Functional and positional QTL gene-based approaches identified 249 significant candidate risk genes for OCD, of which 25 were identified as putatively causal, highlighting WDR6, DALRD3, CTNND1 and genes in the MHC region. Tissue and single-cell enrichment analyses highlighted hippocampal and cortical excitatory neurons, along with D1- and D2-type dopamine receptor-containing medium spiny neurons, as playing a role in OCD risk. OCD displayed significant genetic correlations with 65 out of 112 examined phenotypes. Notably, it showed positive genetic correlations with all included psychiatric phenotypes, in particular anxiety, depression, anorexia nervosa, and Tourette syndrome, and negative correlations with a subset of the included autoimmune disorders, educational attainment, and body mass index.. This study marks a significant step toward unraveling its genetic landscape and advances understanding of OCD genetics, providing a foundation for future interventions to address this debilitating disorder.
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Affiliation(s)
- Nora I. Strom
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychiatric Phenomics and Genomics (IPPG), Ludwig-Maximilians University Munich, Munich, Germany
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Zachary F. Gerring
- Department of Mental Health and Neuroscience, Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Department of Population Health and Immunity, Healthy Development and Ageing, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Marco Galimberti
- Department of Psychiatry, Human Genetics, Yale University, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Dongmei Yu
- Department of Center for Genomic Medicine, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Matthew W. Halvorsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Abdel Abdellaoui
- Department of Psychiatry, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Cristina Rodriguez-Fontenla
- CIMUS (Center for Research in Molecular Medicine and Chronic Diseases), Genomics and Bioinformatics, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
- Grupo de Medicina Xenómica, Genetics, FIDIS (Instituto de Investigación Sanitaria de Santiago de Compostela), Santiago de Compostela, A Coruña, Spain
| | - Julia M. Sealock
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Tim Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA NY Harbor Healthcare System, Brooklyn, NY, USA
| | - Jonathan R. Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, London, United Kingdom
| | - Behrang Mahjani
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jackson G. Thorp
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Christie L. Burton
- Department of Neurosciences and Mental Health, Hospital for Sick Children, Toronto, ON, Canada
| | - Jurjen J. Luykx
- Department of Psychiatry, Brain, University Medical Center Utrecht, Utrecht, The Netherlands
- Second opinion outpatient clinic, GGNet, Warnsveld, The Netherlands
| | - Gwyneth Zai
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health,, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Silvia Alemany
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
| | - Christine Andre
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Kathleen D. Askland
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | - Judith Becker Nissen
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital, Psychiatry, Aarhus, Denmark
- Institute of Clinical Medicine, Health, Aarhus University, Aarhus, Denmark
| | - O. Joseph Bienvenu
- Department of Psychiatry and Behavioral Sciences, General Hospital Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Donald Black
- Departments of Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Michael H. Bloch
- Department of Child Study Center and Psychiatry, Yale University, New Haven, CT, USA
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
| | - Sigrid Børte
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Rosa Bosch
- Department of Child and Adolescent Mental Health, Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Instituto de Salut Carlos III, Centro de Investigación Biomédica en Red de Salut Mental (CIBERSAM), Madrid, Spain
| | - Michael Breen
- Department of Psychiatry, Icahn School of Medicine At Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine At Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine At Mount Sinai, New York, NY, USA
| | - Brian P. Brennan
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Helena Brentani
- Department of Psychiatry, Universidade De São Paulo, São Paulo, Brazil
| | - Joseph D. Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Enda M. Byrne
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
| | - Judit Cabana-Dominguez
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
| | - Beatriz Camarena
- Pharmacogenetics Department, Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz, Mexico City, México
| | | | - Carolina Cappi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
- Department of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Angel Carracedo
- Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Genomics and Bioinformatics Group, University of Santiago de Compostela, Santiago de Compostela, Spain
- Galiician Foundation of Genomic Medicine, Grupo de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago -IDIS-, Santiago de Compostela, Spain
- Medicina Genómica, Centro de Investigación Biomédica en Red, Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Miguel Casas
- Programa MIND Escoles, Hospital Sant Joan de Déu , Esplugues de Llobregat, Barcelona, Spain
- Departamento de Psiquiatría y Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | | | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Edwin H. Cook
- Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA
| | - Jesse Crosby
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Bernadette A. Cullen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medical Institutions, Baltimore , MD, USA
- Department of Mental Health, Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elles J. De Schipper
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
| | - Richard Delorme
- Child and Adolesccent Psycchiatry Department, APHP, Paris, France
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jason A. Elias
- Psychiatry, McLean Hospital OCDI, Harvard Medical School, Belmont, MA, USA
- Adult Psychological Services, CBTeam LLC, Lexington, MA, USA
| | - Xavier Estivill
- qGenomics (Quantitative Genomics Laboratories), Esplugues de Llobregat, Barcelona, Spain
| | - Martha J. Falkenstein
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Bengt T. Fundin
- Department of Medical Epidemiology and Biostatistics, Center for Eating Disorders Innovation, Karolinska Institutet, Stockholm, Sweden
| | - Lauryn Garner
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | | | - Christina Gironda
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Fernando S. Goes
- Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA
| | - Marco A. Grados
- Department of Psychiatry and Behavioral Sciences, Child & Adolescent Psychiatry, Johns Hopkins University, Baltimore, MD, USA
| | - Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus, Denmark
| | - Wei Guo
- Genetic Epidemiology Research Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Kristen Hagen
- Department of Psychiatry, Møre og Romsdal Hospital Trust, Molde, Norway
- Bergen Center for Brain Plasticity, Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Mental Health, Norwegian University for Science and Technology, Trondheim, Norway
| | - Kelly Harrington
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Alexandra Havdahl
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Kira D. Höffler
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
- Department of Medical Genetics, Dr. Einar Martens Research Group for Biological Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Ana G. Hounie
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Donald Hucks
- Department of Medicine, Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christina Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Magdalena Janecka
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Eric Jenike
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Elinor K. Karlsson
- Department of Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, USA
- Department of Vertebrate Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kara Kelley
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Julia Klawohn
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Medicine, MSB Medical School Berlin, Berlin, Germany
| | - Janice E. Krasnow
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Christoph Lange
- Department of Biostatistics, T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Daniel Levey
- Department of Psychiatry, Yale University, West Haven, CT, USA
- Office of Research & Development, United States Department of Veterans Affairs, West Haven, CT, USA
| | - Kerstin Lindblad-Toh
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Vertebrate Genomics, Broad Institute, Cambridge, MA, USA
| | - Fabio Macciardi
- Department of Psychiatry, University of California, Irvine (UCI), Irvine, CA, USA
| | - Brion Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brittany Mathes
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Evonne McArthur
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Nicole C. McLaughlin
- Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
- Butler Hospital, Providence, RI, USA
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Euripedes C. Miguel
- Department of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Maureen Mulhern
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Paul S. Nestadt
- Department of Psychiatry and Behavioral Science, Johns Hopkins University, Baltimore, MD, USA
| | - Erika L. Nurmi
- Department of Psychiatry and Biobehavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kevin S. O’Connell
- Department of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, University of Oslo, Oslo, Norway
| | - Lisa Osiecki
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Harvard Medical School, Boston, MA, USA
| | - Olga Therese Ousdal
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Biomedicine, Haukeland University Hospital, Bergen, Norway
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Department of Clinical Neuroscience and Neurorehabilitation, Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Sriramya Potluri
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Raquel Rabionet
- Department of Genetics, microbiology and statistics, IBUB, Universitat de Barcelona, Barcelona, Spain
- CIBERER, Centro de investigación biomédica en red, Madrid, Spain
- Department of Human Molecular Genetics, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, Division of Neurogenetics and Molecular Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- DZNE Bonn, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Cologne Excellence Cluster for Stress Responses in Ageing-associated diseases (CECAD), University of Cologne, Cologne, Germany
| | - Scott Rauch
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Abraham Reichenberg
- Department of Mental disorders, Norwegian Institute of Public Health, New York, NY, USA
| | - Mark A. Riddle
- Department of Psychiatry and Behavioral Sciences, Child and Adolescent, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- site Berlin-Potsdam, German Center for Mental Health (DZPG), Berlin, Germany
| | - Maria C. Rosário
- Department of Psychiatry, Child and Adolescent Psychiatry Unit (UPIA), Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - Aline S. Sampaio
- Department of Neurosciences and Mental Health, Medical School, Federal University of Bahia, Salvador, Brazil
| | - Miriam A. Schiele
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Freiburg, Medical Center - University of Freiburg, Freiburg, Germany
| | - Anne Heidi Skogholt
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Trondheim, Norway
| | | | - Jan Smit
- Department of Psychiatry, Faculty of Medicine, Locaion Vumc, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Artigas María Soler
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain
| | - Laurent F. Thomas
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Public Health and Nursing, K. G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- BioCore - Bioinformatics Core Facility, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Laboratory Medicine, St.Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Eric Tifft
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, USA
| | - Homero Vallada
- Department of Psychiatry, Universidade de Sao Paulo, São Paulo, Brazil
- Department of Molecular Medicine and Surgery, CMM, Karolinska Institutet, Stockholm, Sweden
| | - Nathanial van Kirk
- OCD Institute, Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Jeremy Veenstra-VanderWeele
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Columbia University, New York, NY, USA
- Department of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Nienke N. Vulink
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Ying Wang
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jens R. Wendland
- Laboratory of Clinical Science, NIMH Intramural Research Program, Bethesda, MD, USA
| | - Bendik S. Winsvold
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Yin Yao
- Department of Computional Biology, Institute of Life Science, Fudan University, Fudan, China
| | - Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA
| | | | | | | | | | | | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Pino Alonso
- Department of Psychiatry, OCD Clinical and Research Unit, Bellvitge Hospital, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
- Department of Psychiatry and Mental Health, Bellvitge Biomedical Research Institute IDIBELLL, Barcelona, Spain
- CIBERSAM, Mental Health Network Biomedical Research Center, Madrid, Spain
| | - Götz Berberich
- Psychosomatic Department, Windach Hospital of Neurobehavioural Research and Therapy, Windach, Germany
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington U. School of Medicine, St Louis, MO, USA
| | - Cynthia M. Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Danielle Cath
- Departments of Rijksuniversiteit Groningen and Psychiatry, University Medical Center Groninge, Groningen, The Netherlands
- Department of Specialized Training, Drenthe Mental Health Care Institute, Groningen, The Netherlands
| | - Damiaan Denys
- Department of Psychiatry, Institute of The Royal Netherlands Academy of Arts and Sciences (NIN-KNAW), Amsterdam, The Netherlands
| | - Valsamma Eapen
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW, Sydney, NSW, Australia
- Academic Unit of Child Psychiatry South-West Sydney (AUCS), South-West Sydney Clinical School, SWSLHD & Ingham Institute, Sydney, NSW, Australia
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
- Department of Psychiatry, Max Planck Institute, Munich, Germany
| | - Thomas V. Fernandez
- Child Study Center and Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Abby J. Fyer
- Department of Psychiatry, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, , Columbia University Medical Center, New York, NY, USA
| | - J M. Gaziano
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Mass General Brigham, Boston, MA, USA
| | - Dan A. Geller
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Child Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Hans J. Grabe
- Department of Psychiatry & Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Benjamin D. Greenberg
- COBRE Center on Neuromodulation, Butler Hospital, Providence, RI, USA
- Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
| | - Gregory L. Hanna
- Department of Psychiatry, Child and Adolescent Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - David M. Hougaard
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - James Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Stéphanie Le Hellard
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Bergen Center for brain plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Marion Leboyer
- Department of Addictology and Psychiatry, Univ Paris Est Créteil, AP-HP, Inserm, Paris, France
| | - Christine Lochner
- Department of Psychiatry, SA MRC Unit on Risk and Resilience in Mental Disorders, Stellenbosch University, Stellenbosch, South Africa
| | - James T. McCracken
- Department of Psychiatry and Biobehavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sarah E. Medland
- Department of Mental Health, Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Preben B. Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Benjamin M. Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, , Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Humberto Nicolini
- Department of Psychiatry, Psychiatry, Carracci Medical Group, Mexico City, México
- Psiquiatría, Instituto Nacional de Medicina Genómica, Mexico City, México
| | - Merete Nordentoft
- Mental Health Center Copenhagen, Copenhagen Research Center for Mental Health, Mental Health services in the Capital Region of Denmark, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Michele Pato
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
| | - Carlos Pato
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
| | - David L. Pauls
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - John Piacentini
- Department of Psychiatry and Biobehavioral Sciences, Child and Adolescent Psychiatry, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Danielle Posthuma
- Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatric, Section Complex Trait Genetics, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Josep Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Spain
- Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d’Hebron Research Institute (VHIR), Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Steven A. Rasmussen
- Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
| | - Margaret A. Richter
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - David R. Rosenberg
- Department of Psychiatry and Behavioral Neurosciences, Child and Adolescent Psychiatry, Wayne State University School of Medicine, Detroit, MI, USA
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Jack F. Samuels
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sven Sandin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Sandor
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychiatry and Behavioral Sciences, Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Dan J. Stein
- Dept of Psychiatry & Neuroscience Institute, SAMRC Unit on Risk & Reslience in Mental Disorders, University of Cape Town, Cape Town, Western Cape, South Africa
| | - S. Evelyn Stewart
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services Research Institute (BCMHSUS), Vancouver, BC, Canada
| | - Eric A. Storch
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Barbara E. Stranger
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Mental Health Services (RHP), Copenhagen, Denmark
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ole A. Andreassen
- Institute of Clinical Medicine, NORMENT Centre, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Center for Precision Psychiatry, Oslo University Hospital, Oslo, , Norway
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, CGPM, Aarhus University, Aarhus, Denmark
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), University of Zurich, Zürich, Switzerland
- Neuroscience Center Zurich, University of Zurich and the ETH Zuric, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Kristian Hveem
- HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research, Innovation and Education, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bjarne K. Hansen
- Bergen Center for Brain Plasticity (BCBP), Psychiatry, Haukeland University Hospital, Bergen, Norway
- Centre for Crisis Psychology, Psychology, University of Bergen, Bergen, Norway
| | - Christian P. Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
| | - Nicholas G. Martin
- Department of Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ole Mors
- Psychosis Reasearch Unit, Aarhus University Hospital - Psychiatry, 8200 Aarhus N, Denmark
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain
- Department of Mental Health, Hospital Universitari Vall d’Hebron , Barcelona, Spain
| | - Gerd Kvale
- Bergen Center for Brain Plasticity, Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Psychology, Faculty of Psychology, University of Bergen, Bergen, Vestland
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
| | - Katharina Domschke
- Department of Psychiatry, University of Freiburg - Medical Faculty, Freiburg, Germany
- German Center for Mental Health (DZPG), Partner Site Berlin, Berlin, Germany
| | - Edna Grünblatt
- Neuroscience Center Zurich, University of Zurich and the ETH Zuric, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), University of Zurich, Zürich, Schweiz
| | - Michael Wagner
- Departments of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - John-Anker Zwart
- HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research and Innovation, Clinical Neuroscience, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Gerome Breen
- Social, Genetic, and Developmental Psychiatric Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, United Kingdom
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Science, Johns Hopkins University, Baltimore, MD, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - Paul D. Arnold
- Department of Psychiatry, The Mathison Centre for Mental Health Research & Education, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Dorothy E. Grice
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James A. Knowles
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Helga Ask
- PsychGen Center for Genetic Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Karin J. Verweij
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lea K. Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dirk J. Smit
- Department of Psychiatry, Amsterdam UMC location AMC, Amsterdam, The Netherlands
| | - James J. Crowley
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Services, Region Stockholm , Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeremiah M. Scharf
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Murray B. Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry and School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Human Genetics (Psychiatry), Yale University School of Medicine, West Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Carol A. Mathews
- Psychiatry and Genetics Institute, Center for OCD, Anxiety and Related Disorders, University of Florida, Gainesville, FL, USA
| | - Eske M. Derks
- Department of Mental Health and Neuroscience, QIMR Berghofer, Brisbane, Australia
| | - Manuel Mattheisen
- Department of Psychiatric Phenomics and Genomics (IPPG), Ludwig-Maximilians University Munich, Munich, Germany
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Community Health and Epidemiology and Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
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2
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Strom NI, Halvorsen MW, Tian C, Rück C, Kvale G, Hansen B, Bybjerg-Grauholm J, Grove J, Boberg J, Nissen JB, Damm Als T, Werge T, de Schipper E, Fundin B, Hultman C, Höffler KD, Pedersen N, Sandin S, Bulik C, Landén M, Karlsson E, Hagen K, Lindblad-Toh K, Hougaard DM, Meier SM, Hellard SL, Mors O, Børglum AD, Haavik J, Hinds DA, Mataix-Cols D, Crowley JJ, Mattheisen M. Genome-wide association study identifies new loci associated with OCD. medRxiv 2024:2024.03.06.24303776. [PMID: 38496634 PMCID: PMC10942538 DOI: 10.1101/2024.03.06.24303776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
To date, four genome-wide association studies (GWAS) of obsessive-compulsive disorder (OCD) have been published, reporting a high single-nucleotide polymorphism (SNP)-heritability of 28% but finding only one significant SNP. A substantial increase in sample size will likely lead to further identification of SNPs, genes, and biological pathways mediating the susceptibility to OCD. We conducted a GWAS meta-analysis with a 2-3-fold increase in case sample size (OCD cases: N = 37,015, controls: N = 948,616) compared to the last OCD GWAS, including six previously published cohorts (OCGAS, IOCDF-GC, IOCDF-GC-trio, NORDiC-nor, NORDiC-swe, and iPSYCH) and unpublished self-report data from 23andMe Inc. We explored the genetic architecture of OCD by conducting gene-based tests, tissue and celltype enrichment analyses, and estimating heritability and genetic correlations with 74 phenotypes. To examine a potential heterogeneity in our data, we conducted multivariable GWASs with MTAG. We found support for 15 independent genome-wide significant loci (14 new) and 79 protein-coding genes. Tissue enrichment analyses implicate multiple cortical regions, the amygdala, and hypothalamus, while cell type analyses yielded 12 cell types linked to OCD (all neurons). The SNP-based heritability of OCD was estimated to be 0.08. Using MTAG we found evidence for specific genetic underpinnings characteristic of different cohort-ascertainment and identified additional significant SNPs. OCD was genetically correlated with 40 disorders or traits-positively with all psychiatric disorders and negatively with BMI, age at first birth and multiple autoimmune diseases. The GWAS meta-analysis identified several biologically informative genes as important contributors to the aetiology of OCD. Overall, we have begun laying the groundwork through which the biology of OCD will be understood and described.
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Affiliation(s)
- Nora I Strom
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital of Munich, Munich, Germany
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Matthew W Halvorsen
- Department of Genetics, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA
| | | | - Christian Rück
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Gerd Kvale
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Bjarne Hansen
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Julia Boberg
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Judith Becker Nissen
- Departments of Child and Adolescent Psychiatry, Aarhus University Hospital, Psychiatry, Aarhus, Denmark
- Institute of Clinical Medicine, Health, Aarhus University, Health, Aarhus University, Aarhus, Danmark
| | - Thomas Damm Als
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark
- GLOBE Institute, Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
| | - Elles de Schipper
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Fundin
- Department of Medical Epidemiology and Biostatistics, Center for Eating Disorders Innovation, Karolinska Institutet, Stockholm, Sweden
| | - Christina Hultman
- Department of Medical Epidemiology and Biostatistics, Center for Eating Disorders Innovation, Karolinska Institutet, Stockholm, Sweden
| | - Kira D. Höffler
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Nancy Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Cynthia Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, NC, USA
| | - Mikael Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Elinor Karlsson
- Department of Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, USA
- Department of Vertebrate Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kristen Hagen
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Psychiatry, Møre og Romsdal Hospital Trust, Molde, Møre og Romsdal, Norway
- Department of Mental Health, Norwegian University for Science and Technology, Trondheim, Sweden
| | - Kerstin Lindblad-Toh
- Department of Vertebrate Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - David M. Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Sandra M. Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Stéphanie Le Hellard
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus Denmark
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Jan Haavik
- Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | | | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - James J Crowley
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Genetics, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA
| | - Manuel Mattheisen
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital of Munich, Munich, Germany
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Community Health and Epidemiology and Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
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3
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Halvorsen M, de Schipper E, Boberg J, Strom N, Hagen K, Lindblad-Toh K, Karlsson E, Pedersen N, Bulik C, Fundín B, Landén M, Kvale G, Hansen B, Haavik J, Mattheisen M, Rück C, Mataix-Cols D, Crowley J. A Burden of Rare Copy Number Variants in Obsessive-Compulsive Disorder. Res Sq 2024:rs.3.rs-3749504. [PMID: 38260575 PMCID: PMC10802697 DOI: 10.21203/rs.3.rs-3749504/v1] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Current genetic research on obsessive-compulsive disorder (OCD) supports contributions to risk specifically from common single nucleotide variants (SNVs), along with rare coding SNVs and small insertion-deletions (indels). The contribution to OCD risk from large, rare copy number variants (CNVs), however, has not been formally assessed at a similar scale. Here we describe an analysis of rare CNVs called from genotype array data in 2,248 deeply phenotyped OCD cases and 3,608 unaffected controls from Sweden and Norway. We found that in general cases carry an elevated burden of large (>30kb, at least 15 probes) CNVs (OR=1.12, P=1.77×10-3). The excess rate of these CNVs in cases versus controls was around 0.07 (95% CI 0.02-0.11, P=2.58×10-3). This signal was largely driven by CNVs overlapping protein-coding regions (OR=1.19, P=3.08×10-4), particularly deletions impacting loss-of-function intolerant genes (pLI>0.995, OR=4.12, P=2.54×10-5). We did not identify any specific locus where CNV burden was associated with OCD case status at genome-wide significance, but we noted non-random recurrence of CNV deletions in cases (permutation P = 2.60×10-3). In cases where sufficient clinical data were available (n=1612) we found that carriers of neurodevelopmental duplications were more likely to have comorbid autism (P<0.001), and that carriers of deletions overlapping neurodevelopmental genes had lower treatment response (P=0.02). The results demonstrate a contribution of large, rare CNVs to OCD risk, and suggest that studies of rare coding variation in OCD would have increased power to identify risk genes if this class of variation were incorporated into formal tests.
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4
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Boberg J, Kaldo V, Mataix-Cols D, Crowley JJ, Roelstraete B, Halvorsen M, Forsell E, Isacsson NH, Sullivan PF, Svanborg C, Andersson EH, Lindefors N, Kravchenko O, Mattheisen M, Danielsdottir HB, Ivanova E, Boman M, Fernández de la Cruz L, Wallert J, Rück C. Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH). BMJ Open 2023; 13:e069427. [PMID: 37793927 PMCID: PMC10551950 DOI: 10.1136/bmjopen-2022-069427] [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: 12/07/2022] [Accepted: 08/15/2023] [Indexed: 10/06/2023] Open
Abstract
PURPOSE Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data. PARTICIPANTS MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029. FINDINGS TO DATE Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase. FUTURE PLANS The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.
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Affiliation(s)
- Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Viktor Kaldo
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - James J Crowley
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Bjorn Roelstraete
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Matthew Halvorsen
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Erik Forsell
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Nils H Isacsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Patrick F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Cecilia Svanborg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Evelyn H Andersson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Nils Lindefors
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Olly Kravchenko
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Manuel Mattheisen
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Hilda B Danielsdottir
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Ekaterina Ivanova
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Magnus Boman
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Stockholm, Sweden
- Department of Computer and Software Systems, School of EECS, KTH Royal Institute of Technology, Stockholm, Stockholm, Sweden
| | - Lorena Fernández de la Cruz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - John Wallert
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
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5
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Xiong Y, Karlsson R, Song J, Kowalec K, Rück C, Sigström R, Jonsson L, Clements CC, Andersson E, Boberg J, Lewis CM, Sullivan PF, Landén M, Lu Y. Polygenic risk scores of lithium response and treatment resistance in major depressive disorder. Transl Psychiatry 2023; 13:301. [PMID: 37770441 PMCID: PMC10539379 DOI: 10.1038/s41398-023-02602-3] [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: 02/06/2023] [Revised: 09/15/2023] [Accepted: 09/20/2023] [Indexed: 09/30/2023] Open
Abstract
Treatment response and resistance in major depressive disorder (MDD) are suggested to be heritable. Due to significant challenges in defining treatment-related phenotypes, our understanding of their genetic bases is limited. This study aimed to derive a stringent definition of treatment resistance and to investigate the genetic overlap between treatment response and resistance in MDD. Using electronic medical records on the use of antidepressants and electroconvulsive therapy (ECT) from Swedish registers, we derived the phenotype of treatment-resistant depression (TRD) and non-TRD within ~4500 individuals with MDD in three Swedish cohorts. Considering antidepressants and lithium are first-line treatment and augmentation used for MDD, respectively, we generated polygenic risk scores (PRS) of antidepressants and lithium response for individuals with MDD and evaluated their associations with treatment resistance by comparing TRD with non-TRD. Among 1778 ECT-treated MDD cases, nearly all (94%) used antidepressants before their first ECT and the vast majority had at least one (84%) or two (61%) antidepressants of adequate duration, suggesting these MDD cases receiving ECT were resistant to antidepressants. We did not observe a significant difference in the mean PRS of antidepressant response between TRD and non-TRD; however, we found that TRD cases had a significantly higher PRS of lithium response compared to non-TRD cases (OR = 1.10-1.12 under various definitions). The results support the evidence of heritable components in treatment-related phenotypes and highlight the overall genetic profile of lithium-sensitivity in TRD. This finding further provides a genetic explanation for lithium efficacy in treating TRD.
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Affiliation(s)
- Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jie Song
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kaarina Kowalec
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada
| | - Christian Rück
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Robert Sigström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Cognition and Old Age Psychiatry, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Lina Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Caitlin C Clements
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Notre Dame, South Bend, IN, USA
| | - Evelyn Andersson
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Julia Boberg
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Medical & Molecular Genetics, King's College London, London, UK
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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Flygare O, Boberg J, Rück C, Hofmann R, Leosdottir M, Mataix-Cols D, de la Cruz LF, Richman P, Wallert J. Association of anxiety or depression with risk of recurrent cardiovascular events and death after myocardial infarction: A nationwide registry study. Int J Cardiol 2023; 381:120-127. [PMID: 37080468 DOI: 10.1016/j.ijcard.2023.04.023] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND Depression and anxiety are risk factors for patients with myocardial infarction (MI). However, the association of a previous psychiatric diagnosis of anxiety or depression, or only such self-reported symptoms, with cardiovascular outcomes and mortality post-MI has not been previously examined in the same nationwide cohort. METHODS We linked demographic, socioeconomic and clinical data from four nationwide Swedish registries for patients enrolled in cardiac rehabilitation (CR) after first-time MI (2006-2015, N = 45,096). After multiple imputation, we applied Cox regression to estimate the post-MI outcome risk for patients with a previous psychiatric diagnosis of anxiety/depression (Diagnosis), patients with no formal diagnosis but self-reported symptoms of anxiety/depression (Symptoms), versus patients with neither Diagnosis nor Symptoms (Reference). RESULTS During one-year follow-up, fully adjusted models showed that patients with Diagnosis had a higher risk (hazard ratio [95%CI]) of all-cause mortality (1.86 [1.36, 2.53]), reinfarction (1.14 [1.06, 1.22]), their composite (1.15 [1.07, 1.23]), and an extended cardiovascular composite (1.19 [1.12, 1.26]), versus Reference, even though 77% reported no symptoms at the time of MI. In patients with Symptoms, estimates were also elevated yet somewhat attenuated compared to Reference. Findings were fairly robust across multiple sensitivity analyses. CONCLUSIONS Both a previous diagnosis, and present self-reported symptoms of anxiety or depression are associated with an increased risk of death and recurrent cardiovascular events in adults with first-time MI. Only screening for present symptoms is inadequate for assessing this excessive risk. Assessment of both psychiatric history and self-reported symptoms seems warranted for these patients.
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Affiliation(s)
- Oskar Flygare
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Robin Hofmann
- Department of Clinical Science and Education, Division of Cardiology, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
| | - Margret Leosdottir
- Department of Clinical Sciences, Cardiology, Lund University, Malmö, Sweden; Skåne University Hospital, Malmö, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Lorena Fernández de la Cruz
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Peter Richman
- Spohn Emergency Medicine Residency, Texas A&M University, Corpus Christi, TX, USA
| | - John Wallert
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
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Lu Y, Xiong Y, Karlsson R, Song J, Kowalec K, Rück C, Sigstrom R, Jonsson L, Clements C, Andersson E, Boberg J, Lewis C, Sullivan P, Landén M. Investigating genetic overlap between antidepressant and lithium response and treatment resistance in major depressive disorder. Res Sq 2023:rs.3.rs-2556941. [PMID: 36865283 PMCID: PMC9980196 DOI: 10.21203/rs.3.rs-2556941/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Treatment response and resistance in major depressive disorder (MDD) are suggested to be heritable. Due to significant challenges in defining treatment-related phenotypes, our understanding of their genetic bases is limited. This study aimed to derive a stringent definition of treatment resistance and to investigate genetic overlap between treatment response and resistance in MDD. Using electronic medical records on the use of antidepressants and electroconvulsive therapy (ECT) from Swedish registers, we derived the phenotype of treatment-resistant depression (TRD) within ~ 4 500 individuals with MDD in three Swedish cohorts. Considering antidepressants and lithium are first-line treatment and augmentation used for MDD, respectively, we generated polygenic risk scores of antidepressant and lithium response for individuals with MDD, and evaluated their associations with treatment resistance by comparing TRD with non-TRD. Among 1 778 ECT-treated MDD cases, nearly all (94%) used antidepressants before first ECT, and the vast majority had at least one (84%) or two (61%) antidepressants of adequate duration, suggesting these MDD cases receiving ECT were resistant to antidepressants. We found that TRD cases tend to have lower genetic load of antidepressant response than non-TRD, although the difference was not significant; furthermore, TRD cases had significantly higher genetic load of lithium response (OR = 1.10-1.12 under different definitions). The results support evidence of heritable components in treatment-related phenotypes and highlight the overall genetic profile of lithium-sensitivity in TRD. This finding further provides a genetic explanation for lithium efficacy in treating TRD.
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8
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Mataix-Cols D, Andersson E, Aspvall K, Boberg J, Crowley JJ, de Schipper E, Fernández de la Cruz L, Flygare O, Ivanova E, Lenhard F, Lundström L, Rück C, Serlachius E, Cervin M. Operational Definitions of Treatment Response and Remission in Obsessive-Compulsive Disorder Capture Meaningful Improvements in Everyday Life. Psychother Psychosom 2022; 91:424-430. [PMID: 36382651 PMCID: PMC9838085 DOI: 10.1159/000527115] [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] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/08/2022] [Indexed: 01/16/2023]
Abstract
INTRODUCTION The operational definitions of treatment response, partial response, and remission in obsessive-compulsive disorder (OCD) are widely used in clinical trials and regular practice. However, the clinimetric sensitivity of these definitions, that is, whether they identify patients that experience meaningful changes in their everyday life, remains unexplored. OBJECTIVE The objective was to examine the clinimetric sensitivity of the operational definitions of treatment response, partial response, and remission in children and adults with OCD. METHODS Pre- and post-treatment data from five clinical trials and three cohort studies of children and adults with OCD (n = 1,528; 55.3% children, 61.1% female) were pooled. We compared (1) responders, partial responders, and non-responders and (2) remitters and non-remitters on self-reported OCD symptoms, clinician-rated general functioning, and self-reported quality of life. Remission was also evaluated against post-treatment diagnostic interviews. RESULTS Responders and remitters experienced large improvements across validators. Responders had greater improvements than partial responders and non-responders on self-reported OCD symptoms (Cohen's d 0.65-1.13), clinician-rated functioning (Cohen's d 0.53-1.03), and self-reported quality of life (Cohen's d 0.63-0.73). Few meaningful differences emerged between partial responders and non-responders. Remitters had better outcomes across most validators than non-remitters. Remission criteria corresponded well with absence of post-treatment diagnosis (sensitivity/specificity: 93%/83%). Using both the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and the Clinical Global Impression Scale yielded more conservative results and more robust changes across validators, compared to only using the Y-BOCS. CONCLUSIONS The current definitions of treatment response and remission capture meaningful improvements in the everyday life of individuals with OCD, whereas the concept of partial response has dubious clinimetric sensitivity.
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Affiliation(s)
- David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden,*David Mataix-Cols,
| | - Erik Andersson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Kristina Aspvall
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Julia Boberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - James J. Crowley
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Department of Genetics at the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA,Department of Psychiatry at the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elles de Schipper
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Lorena Fernández de la Cruz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Oskar Flygare
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Ekaterina Ivanova
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Fabian Lenhard
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lina Lundström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Christian Rück
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Eva Serlachius
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Matti Cervin
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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Wallert J, Boberg J, Kaldo V, Mataix-Cols D, Flygare O, Crowley JJ, Halvorsen M, Ben Abdesslem F, Boman M, Andersson E, Hentati Isacsson N, Ivanova E, Rück C. Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data. Transl Psychiatry 2022; 12:357. [PMID: 36050305 PMCID: PMC9437007 DOI: 10.1038/s41398-022-02133-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 05/12/2021] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 11/08/2022] Open
Abstract
This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18-75 years) diagnosed with mild-to-moderate MDD and treated with guided Internet-based Cognitive Behaviour Therapy (ICBT) at the Internet Psychiatry Clinic in Stockholm were included (2008-2016). Predictor types were demographic, clinical, process (e.g., time to complete online questionnaires), and genetic (polygenic risk scores). Outcome was remission status post ICBT (cut-off ≤10 on MADRS-S). Data were split into train (60%) and validation (40%) given ICBT start date. Predictor selection employed human expertise followed by recursive feature elimination. Model derivation was internally validated through cross-validation. The final random forest model was externally validated against a (i) null, (ii) logit, (iii) XGBoost, and (iv) blended meta-ensemble model on the hold-out validation set. Feature selection retained 45 predictors representing all four predictor types. With unseen validation data, the final random forest model proved reasonably accurate at classifying post ICBT remission (Accuracy 0.656 [0.604, 0.705], P vs null model = 0.004; AUC 0.687 [0.631, 0.743]), slightly better vs logit (bootstrap D = 1.730, P = 0.084) but not vs XGBoost (D = 0.463, P = 0.643). Transparency analysis showed model usage of all predictor types at both the group and individual patient level. A new, multi-modal classifier for predicting MDD remission status after ICBT treatment in routine psychiatric care was derived and empirically validated. The multi-modal approach to predicting remission may inform tailored treatment, and deserves further investigation to attain clinical usefulness.
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Affiliation(s)
- John Wallert
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden.
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
| | - Viktor Kaldo
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
- Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
- CAP Research Centre, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Oskar Flygare
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
| | - James J Crowley
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Matthew Halvorsen
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Fehmi Ben Abdesslem
- Research Institutes of Sweden, Kista, Sweden & Royal Institute of Technology, Stockholm, Sweden
| | - Magnus Boman
- Research Institutes of Sweden, Kista, Sweden & Royal Institute of Technology, Stockholm, Sweden
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Solna, Sweden
| | - Evelyn Andersson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
| | - Nils Hentati Isacsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
| | - Ekaterina Ivanova
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm HealthCare Services, Region Stockholm, Huddinge, Sweden
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10
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Lundström L, Flygare O, Andersson E, Enander J, Bottai M, Ivanov VZ, Boberg J, Pascal D, Mataix-Cols D, Rück C. Effect of Internet-Based vs Face-to-Face Cognitive Behavioral Therapy for Adults With Obsessive-Compulsive Disorder: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e221967. [PMID: 35285923 PMCID: PMC9907343 DOI: 10.1001/jamanetworkopen.2022.1967] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Cognitive behavioral therapy (CBT) for obsessive-compulsive disorder (OCD) is a highly specialized treatment that is in short supply worldwide. OBJECTIVES To investigate whether both therapist-guided and unguided internet-based CBT (ICBT) are noninferior to face-to-face CBT for adults with OCD, to conduct a health economic evaluation, and to determine whether treatment effects were moderated by source of participant referral. DESIGN, SETTING, AND PARTICIPANTS This study is a single-blinded, noninferiority, randomized clinical trial, with a full health economic evaluation, conducted between September 2015 and January 2020, comparing therapist-guided ICBT, unguided ICBT, and individual face-to-face CBT for adults with OCD. Follow-up data were collected up to 12 months after treatment. The study was conducted at 2 specialist outpatient OCD clinics in Stockholm, Sweden. Participants included a consecutive sample of adults with a primary diagnosis of OCD, either self-referred or referred by a clinician. Data analysis was performed from June 2019 to January 2022. INTERVENTIONS Guided ICBT, unguided ICBT, and face-to-face CBT delivered over 14 weeks. MAIN OUTCOMES AND MEASURES The primary end point was the change in OCD symptom severity from baseline to 3-month follow-up. The noninferiority margin was 3 points on the masked assessor-rated Yale-Brown Obsessive Compulsive Scale. RESULTS A total of 120 participants were enrolled (80 women [67%]; mean [SD] age, 32.24 [9.64] years); 38 were randomized to the face-to-face CBT group, 42 were randomized to the guided ICBT group, and 40 were randomized to the unguided ICBT group. The mean difference between therapist-guided ICBT and face-to-face CBT at the primary end point was 2.10 points on the Yale-Brown Obsessive Compulsive Scale (90% CI, -0.41 to 4.61 points; P = .17), favoring face-to-face CBT, meaning that the primary noninferiority results were inconclusive. The difference between unguided ICBT and face-to-face CBT was 5.35 points (90% CI, 2.76 to 7.94 points; P < .001), favoring face-to-face CBT. The health economic analysis showed that both guided and unguided ICBT were cost-effective compared with face-to-face CBT. Source of referral did not moderate treatment outcome. The most common adverse events were anxiety (30 participants [25%]), depressive symptoms (20 participants [17%]), and stress (11 participants [9%]). CONCLUSIONS AND RELEVANCE The findings of this randomized clinical trial of ICBT vs face-to-face CBT for adults with OCD do not conclusively demonstrate noninferiority. Therapist-guided ICBT could be a cost-effective alternative to in-clinic CBT for adults with OCD in scenarios where traditional CBT is not readily available; unguided ICBT is probably less efficacious but could be an alternative when providing remote clinician support is not feasible. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02541968.
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Affiliation(s)
- Lina Lundström
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - Oskar Flygare
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - Erik Andersson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jesper Enander
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - Matteo Bottai
- Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Volen Z. Ivanov
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - Diana Pascal
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
| | - David Mataix-Cols
- Child and Adolescent Psychiatry Research Center, Department of Clinical Neuroscience, Stockholm Health Care Services, Region Stockholm, Karolinska Institutet Stockholm, Sweden
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Karolinska University Hospital, Stockholm, Sweden
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11
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Mahjani B, Klei L, Mattheisen M, Halvorsen MW, Reichenberg A, Roeder K, Pedersen NL, Boberg J, de Schipper E, Bulik CM, Landén M, Fundín B, Mataix-Cols D, Sandin S, Hultman CM, Crowley JJ, Buxbaum JD, Rück C, Devlin B, Grice DE. The Genetic Architecture of Obsessive-Compulsive Disorder: Contribution of Liability to OCD From Alleles Across the Frequency Spectrum. Am J Psychiatry 2022; 179:216-225. [PMID: 34789012 PMCID: PMC8897260 DOI: 10.1176/appi.ajp.2021.21010101] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 01/16/2023]
Abstract
OBJECTIVE Obsessive-compulsive disorder (OCD) is known to be substantially heritable; however, the contribution of genetic variation across the allele frequency spectrum to this heritability remains uncertain. The authors used two new homogeneous cohorts to estimate the heritability of OCD from inherited genetic variation and contrasted the results with those of previous studies. METHODS The sample consisted of 2,090 Swedish-born individuals diagnosed with OCD and 4,567 control subjects, all genotyped for common genetic variants, specifically >400,000 single-nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) ≥0.01. Using genotypes of these SNPs to estimate distant familial relationships among individuals, the authors estimated the heritability of OCD, both overall and partitioned according to MAF bins. RESULTS Narrow-sense heritability of OCD was estimated at 29% (SE=4%). The estimate was robust, varying only modestly under different models. Contrary to an earlier study, however, SNPs with MAF between 0.01 and 0.05 accounted for 10% of heritability, and estimated heritability per MAF bin roughly followed expectations based on a simple model for SNP-based heritability. CONCLUSIONS These results indicate that common inherited risk variation (MAF ≥0.01) accounts for most of the heritable variation in OCD. SNPs with low MAF contribute meaningfully to the heritability of OCD, and the results are consistent with expectation under the "infinitesimal model" (also referred to as the "polygenic model"), where risk is influenced by a large number of loci across the genome and across MAF bins.
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Affiliation(s)
- Behrang Mahjani
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lambertus Klei
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Manuel Mattheisen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Matthew W. Halvorsen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Genetics, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Abraham Reichenberg
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kathryn Roeder
- Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.,Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Elles de Schipper
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Cynthia M. Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Bengt Fundín
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Sven Sandin
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Christina M. Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - James J. Crowley
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Genetics, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Joseph D. Buxbaum
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Dorothy E. Grice
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a psychiatric disorder with multiple symptom dimensions (e.g. contamination, symmetry). OCD clusters in families and decades of twin studies clearly demonstrate an important role for genetics in the etiology of the disorder. METHODS In this review, we summarize the genetic epidemiology and molecular genetic studies of OCD and obsessive-compulsive symptoms. RESULTS OCD is a heritable, polygenic disorder with contributions from both common and rare variants, including de novo deleterious variations. Multiple studies have provided reliable support for a large additive genetic contribution to liability to OCD, with discrete OCD symptom dimensions having both shared and unique genetic risks. Genome-wide association studies have not produced significant results yet, likely because of small sample sizes, but larger meta-analyses are forthcoming. Both twin and genome-wide studies show that OCD shares genetic risk with its comorbid conditions (e.g. Tourette syndrome and anorexia nervosa). CONCLUSIONS Despite significant efforts to uncover the genetic basis of OCD, the mechanistic understanding of how genetic and environmental risk factors interact and converge at the molecular level to result in OCD's heterogeneous phenotype is still mostly unknown. Future investigations should increase ancestral genetic diversity, explore age and/or sex differences in genetic risk for OCD and expand the study of pharmacogenetics, gene expression, gene × environment interactions and epigenetic mechanisms for OCD.
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Affiliation(s)
- Behrang Mahjani
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Tics, Obsessive-Compulsive Disorder (OCD) and Related Disorders, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Julia Boberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
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13
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Mataix-Cols D, Hansen B, Mattheisen M, Karlsson EK, Addington AM, Boberg J, Djurfeldt DR, Halvorsen M, Lichtenstein P, Solem S, Lindblad-Toh K, Haavik J, Kvale G, Rück C, Crowley JJ. Nordic OCD & Related Disorders Consortium: Rationale, design, and methods. Am J Med Genet B Neuropsychiatr Genet 2020; 183:38-50. [PMID: 31424634 PMCID: PMC6898732 DOI: 10.1002/ajmg.b.32756] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 02/24/2019] [Revised: 07/19/2019] [Accepted: 07/29/2019] [Indexed: 12/23/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder, yet its etiology is unknown and treatment outcomes could be improved if biological targets could be identified. Unfortunately, genetic findings for OCD are lagging behind other psychiatric disorders. Thus, there is a pressing need to understand the causal mechanisms implicated in OCD in order to improve clinical outcomes and to reduce morbidity and societal costs. Specifically, there is a need for a large-scale, etiologically informative genetic study integrating genetic and environmental factors that presumably interact to cause the condition. The Nordic countries provide fertile ground for such a study, given their detailed population registers, national healthcare systems and active specialist clinics for OCD. We thus formed the Nordic OCD and Related Disorders Consortium (NORDiC, www.crowleylab.org/nordic), and with the support of NIMH and the Swedish Research Council, have begun to collect a large, richly phenotyped and genotyped sample of OCD cases. Our specific aims are geared toward answering a number of key questions regarding the biology, etiology, and treatment of OCD. This article describes and discusses the rationale, design, and methodology of NORDiC, including details on clinical measures and planned genomic analyses.
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Affiliation(s)
- David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Stockholm, Sweden
| | - Bjarne Hansen
- Haukeland University Hospital, OCD-team, Bergen, Norway,Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Manuel Mattheisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany,Institute of Human Genetics, University of Bonn, Bonn, Germany,Center for Integrative Sequencing, iSEQ, Department of Biomedicine, Aarhus University, Denmark,Department of Psychiatry, Psychosomatics, and Psychotherapy, University of Würzburg, Germany
| | - Elinor K. Karlsson
- Broad Institute of MIT and Harvard, Cambridge, MA, USA,Program in Bioinformatics & Integrative Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Anjené M. Addington
- Genomics Research Branch, National Institute of Mental Health in Bethesda, Bethesda, Maryland, USA
| | - Julia Boberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Stockholm, Sweden
| | - Diana R. Djurfeldt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Stockholm, Sweden
| | - Matthew Halvorsen
- Department of Genetics, University of North Carolina at Chapel Hill, NC, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stian Solem
- Haukeland University Hospital, OCD-team, Bergen, Norway,Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kerstin Lindblad-Toh
- Broad Institute of MIT and Harvard, Cambridge, MA, USA,Science for Life Laboratory, IMBIM, Uppsala University, Uppsala, Sweden
| | | | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Gerd Kvale
- Haukeland University Hospital, OCD-team, Bergen, Norway,Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Christian Rück
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Stockholm Health Care Services, Stockholm, Sweden
| | - James J. Crowley
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Department of Genetics, University of North Carolina at Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA
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14
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Rayner C, Coleman JRI, Purves KL, Hodsoll J, Goldsmith K, Alpers GW, Andersson E, Arolt V, Boberg J, Bögels S, Creswell C, Cooper P, Curtis C, Deckert J, Domschke K, El Alaoui S, Fehm L, Fydrich T, Gerlach AL, Grocholewski A, Hahlweg K, Hamm A, Hedman E, Heiervang ER, Hudson JL, Jöhren P, Keers R, Kircher T, Lang T, Lavebratt C, Lee SH, Lester KJ, Lindefors N, Margraf J, Nauta M, Pané-Farré CA, Pauli P, Rapee RM, Reif A, Rief W, Roberts S, Schalling M, Schneider S, Silverman WK, Ströhle A, Teismann T, Thastum M, Wannemüller A, Weber H, Wittchen HU, Wolf C, Rück C, Breen G, Eley TC. A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders. Transl Psychiatry 2019; 9:150. [PMID: 31123309 PMCID: PMC6533285 DOI: 10.1038/s41398-019-0481-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 03/01/2019] [Accepted: 03/23/2019] [Indexed: 01/04/2023] Open
Abstract
Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (rg ≈ 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We estimated the variance in therapy outcomes that could be explained by common genetic variants (h2SNP) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h2SNP could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits.
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Affiliation(s)
- Christopher Rayner
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Trust, NIHR Biomedical Research Centre for Mental Health, London, UK
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Hodsoll
- Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kimberley Goldsmith
- Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Georg W Alpers
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Evelyn Andersson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Volker Arolt
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Julia Boberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Susan Bögels
- Research Institute Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
| | - Cathy Creswell
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Peter Cooper
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Charles Curtis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Trust, NIHR Biomedical Research Centre for Mental Health, London, UK
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Würzburg, Würzburg, 97078, Germany
| | - Katharina Domschke
- Faculty of Medicine, Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Freiburg, Germany
- Center for NeuroModulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Samir El Alaoui
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Lydia Fehm
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Thomas Fydrich
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Alexander L Gerlach
- Clinical Psychology and Psychotherapy, University of Cologne, Cologne, Germany
| | - Anja Grocholewski
- Department of Psychology, University of Braunschweig, Braunschweig, Germany
| | - Kurt Hahlweg
- Department of Psychology, University of Braunschweig, Braunschweig, Germany
| | - Alfons Hamm
- Department of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany
| | - Erik Hedman
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Einar R Heiervang
- Division of Mental Health and Addiction, Department of Child and Adolescent Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Jennifer L Hudson
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Peter Jöhren
- Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany
| | - Robert Keers
- Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Thomas Lang
- Christoph-Dornier-Stiftung für Klinische Psychologie, Institut für Klinische Psychologie und Psychotherapie, Bremen, Germany
| | - Catharina Lavebratt
- Neurogenetics Unit, Center for Molecular Medicine, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sang-Hyuck Lee
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Trust, NIHR Biomedical Research Centre for Mental Health, London, UK
| | - Kathryn J Lester
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- School of Psychology, University of Sussex, Brighton, UK
| | - Nils Lindefors
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Jürgen Margraf
- Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany
| | - Maaike Nauta
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, The Netherlands
| | - Christiane A Pané-Farré
- Department of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany
| | - Paul Pauli
- Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Würzburg, Germany
| | - Ronald M Rapee
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Winfried Rief
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Susanna Roberts
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Martin Schalling
- Neurogenetics Unit, Center for Molecular Medicine, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Silvia Schneider
- Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany
| | - Wendy K Silverman
- Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Teismann
- Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany
| | - Mikael Thastum
- Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark
| | - Andre Wannemüller
- Mental Health Research and Treatment Center, Ruhr-Universität Bochum, Bochum, Germany
- Dental Clinic Bochum, Bochum, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Würzburg, Würzburg, 97078, Germany
| | - Hans-Ulrich Wittchen
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Würzburg, Würzburg, 97078, Germany
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- South London and Maudsley NHS Trust, NIHR Biomedical Research Centre for Mental Health, London, UK.
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- South London and Maudsley NHS Trust, NIHR Biomedical Research Centre for Mental Health, London, UK.
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15
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Axelstad M, Hass U, Scholze M, Christiansen S, Kortenkamp A, Boberg J. EDC IMPACT: Reduced sperm counts in rats exposed to human relevant mixtures of endocrine disrupters. Endocr Connect 2018; 7:139-148. [PMID: 29203468 PMCID: PMC5776667 DOI: 10.1530/ec-17-0307] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 11/28/2017] [Indexed: 11/08/2022]
Abstract
Human semen quality is declining in many parts of the world, but the causes are ill defined. In rodents, impaired sperm production can be seen with early life exposure to certain endocrine-disrupting chemicals, but the effects of combined exposures are not properly investigated. In this study, we examined the effects of early exposure to the painkiller paracetamol and mixtures of human relevant endocrine-disrupting chemicals in rats. One mixture contained four estrogenic compounds; another contained eight anti-androgenic environmental chemicals and a third mixture contained estrogens, anti-androgens and paracetamol. All exposures were administered by oral gavage to time-mated Wistar dams rats (n = 16-20) throughout gestation and lactation. In the postnatal period, testicular histology was affected by the total mixture, and at the end of weaning, male testis weights were significantly increased by paracetamol and the high doses of the total and the anti-androgenic mixture, compared to controls. In all dose groups, epididymal sperm counts were reduced several months after end of exposure, i.e. at 10 months of age. Interestingly, the same pattern of effects was seen for paracetamol as for mixtures with diverse modes of action. Reduced sperm count was seen at a dose level reflecting human therapeutic exposure to paracetamol. Environmental chemical mixtures affected sperm count at the lowest mixture dose indicating an insufficient margin of safety for the most exposed humans. This causes concern for exposure of pregnant women to paracetamol as well as environmental endocrine disrupters.
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Affiliation(s)
- M Axelstad
- Technical University of DenmarkNational Food Institute, Kongens Lyngby, Denmark
| | - U Hass
- Technical University of DenmarkNational Food Institute, Kongens Lyngby, Denmark
| | | | - S Christiansen
- Technical University of DenmarkNational Food Institute, Kongens Lyngby, Denmark
| | | | - J Boberg
- Technical University of DenmarkNational Food Institute, Kongens Lyngby, Denmark
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16
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Andersson E, Hedman E, Wadström O, Boberg J, Andersson EY, Axelsson E, Bjureberg J, Hursti T, Ljótsson B. Internet-Based Extinction Therapy for Worry: A Randomized Controlled Trial. Behav Ther 2017; 48:391-402. [PMID: 28390501 DOI: 10.1016/j.beth.2016.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [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: 03/02/2016] [Revised: 07/11/2016] [Accepted: 07/17/2016] [Indexed: 11/26/2022]
Abstract
Worry is a common phenotype in both psychiatric patients and the normal population. Worry can be seen as a covert behavior with primary function to avoid aversive emotional experiences. Our research group has developed a treatment protocol based on an operant model of worry, where we use exposure-based strategies to extinguish the catastrophic worry thoughts. The aim of this study was to test this treatment delivered via the Internet in a large-scale randomized controlled trial. We randomized 140 high-worriers (defined as > 56 on the Penn State Worry Questionnaire [PSWQ]) to either Internet-based extinction therapy (IbET) or to a waiting-list condition (WL). Results showed that IbET was superior to WL with an overall large between-group effect size of d = 1.39 (95% confidence interval [1.04,1.73]) on the PSWQ. In the IbET group, 58% were classified as responders. The corresponding figure for WL participants was 7%. IbET was also superior to the WL on secondary outcome measures of anxiety, depression, meta-cognitions, cognitive avoidance, and quality of life. Overall treatment results were maintained for the IbET group at 4- and 12-month follow-up. The results from this trial are encouraging as they indicate that worry can be targeted with an accessible and novel intervention for worry. Replication trials with active control group are needed.
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17
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Lejonklou MH, Christiansen S, Örberg J, Shen L, Larsson S, Boberg J, Hass U, Lind PM. Low-dose developmental exposure to bisphenol A alters the femoral bone geometry in wistar rats. Chemosphere 2016; 164:339-346. [PMID: 27592323 DOI: 10.1016/j.chemosphere.2016.08.114] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/22/2016] [Accepted: 08/23/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Bisphenol A (BPA) is a chemical produced in large volumes for use in manufacturing of consumer products and industrial applications, and an endocrine disruptor known to affect several hormonal systems. Bone produces hormones and is additionally a sensitive hormone target tissue, and is thus potentially sensitive to low doses of endocrine disruptors such as BPA, especially during development. METHODS 110 pregnant Wistar rats were gavaged with 0; 25 μg; 250 μg; 5000 μg or 50,000 μg BPA/kg bodyweight (bw)/day from gestational day 7 until weaning at postnatal day 22. The three-month-old offspring were sacrificed and right femurs collected for length measurements, geometrical measurements by peripheral quantitative computed tomography (pQCT), as well as for analyses of biomechanical properties using the three-point-bending method. RESULTS The femur was elongated in female offspring of dams exposed to 25 or 5000 μg BPA/kg bw/day (1.8% and 2.1%, respectively), and increased cortical thickness (4.7%) was observed in male offspring of dams exposed to 25 μg BPA/kg bw/day, compared to controls (p < 0.005). The biomechanical properties of the bone were not significantly altered. CONCLUSIONS In utero and lactational exposure to the lowest BPA dose used in this study altered femoral geometry in both male and female offspring. This was observed at 25 μg BPA/kg bw/day, a dose lower than the Human Equivalent Dose (HED) applied by EFSA to set a temporary TDI (609 μg BPA/kg bw/day), and far lower than the No-Observed-Adverse-Effect-Level (NOAEL) (5000 μg BPA/kg bw/day) on which the US FDA TDI is based.
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Affiliation(s)
- M H Lejonklou
- Department of Medical Sciences, Occupational and Environmental Medicine, Box 256, Uppsala University, SE-751 85 Uppsala, Sweden.
| | - S Christiansen
- Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark
| | - J Örberg
- Department of Environmental Toxicology, Evolutionary Biology Centre, Box 256, Uppsala University, SE-75105 Uppsala, Sweden
| | - L Shen
- Department of Medical Sciences, Occupational and Environmental Medicine, Box 256, Uppsala University, SE-751 85 Uppsala, Sweden
| | - S Larsson
- Department of Surgical Sciences, Section of Orthopedics, Box 256, Uppsala University, SE-75185 Uppsala, Sweden
| | - J Boberg
- Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark
| | - U Hass
- Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark
| | - P M Lind
- Department of Medical Sciences, Occupational and Environmental Medicine, Box 256, Uppsala University, SE-751 85 Uppsala, Sweden
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18
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Vessby B, Lithell H, Boberg J, Hellsing K, Werner I. Gemfibrozil as a Lipid Lowering Compound in Hyperlipoproteinæmia. A Placebo-controlled Cross-over Trial. Proc R Soc Med 2016. [DOI: 10.1177/00359157760690s208] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- B Vessby
- Department of Geriatrics and Clinical Chemistry, University of Uppsala, Sweden
| | - H Lithell
- Department of Geriatrics and Clinical Chemistry, University of Uppsala, Sweden
| | - J Boberg
- Department of Geriatrics and Clinical Chemistry, University of Uppsala, Sweden
| | - K Hellsing
- Department of Geriatrics and Clinical Chemistry, University of Uppsala, Sweden
| | - I Werner
- Department of Geriatrics and Clinical Chemistry, University of Uppsala, Sweden
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Boberg J, Axelstad M, Svingen T, Mandrup K, Christiansen S, Vinggaard AM, Hass U. Multiple Endocrine Disrupting Effects in Rats Perinatally Exposed to Butylparaben. Toxicol Sci 2016; 152:244-56. [DOI: 10.1093/toxsci/kfw079] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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Mandrup K, Boberg J, Isling LK, Christiansen S, Hass U. Low-dose effects of bisphenol A on mammary gland development in rats. Andrology 2016; 4:673-83. [PMID: 27088260 DOI: 10.1111/andr.12193] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 02/16/2016] [Accepted: 03/01/2016] [Indexed: 12/19/2022]
Abstract
Bisphenol A (BPA) is widely used in food contact materials, toys, and other products. Several studies have indicated that effects observed at doses near human exposure levels may not be observed at higher doses. Many studies have shown effects on mammary glands at low doses of BPA, however, because of small number of animals or few doses investigated these data have not been used by EFSA as point of departure for the newly assessed tolerable daily intake (TDI). We performed a study with perinatal exposure to BPA (0, 0.025, 0.25, 5, and 50 mg/kg bw/day) in rats (n = 22 mated/group). One of the aims was to perform a study robust enough to contribute to the risk assessment of BPA and to elucidate possible biphasic dose-response relationships. We investigated mammary gland effects in the offspring at 22, 100, and 400 days of age. Male offspring showed increased mammary outgrowth on pup day (PD) 22 at 0.025 mg/kg BPA, indicating an increased mammary development at this low dose only. Increased prevalence of intraductal hyperplasia was observed in BPA females exposed to 0.25 mg/kg at PD 400, but not at PD 100, and not at higher or lower doses. The present findings support data from the published literature showing that perinatal exposure to BPA can induce increased mammary growth and proliferative lesions in rodents. Our results indicate that low-dose exposure to BPA can affect mammary gland development in male and female rats, although higher doses show a different pattern of effects. The observed intraductal hyperplasia in female rats could be associated with an increased risk for developing hyperplastic lesions, which are parallels to early signs of breast neoplasia in women. Collectively, current knowledge on effects of BPA on mammary gland at low doses indicates that highly exposed humans may not be sufficiently protected.
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Affiliation(s)
- K Mandrup
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - J Boberg
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - L K Isling
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - S Christiansen
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Søborg, Denmark
| | - U Hass
- Division of Diet, Disease Prevention and Toxicology, National Food Institute, Technical University of Denmark, Søborg, Denmark
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Hass U, Christiansen S, Boberg J, Rasmussen MG, Mandrup K, Axelstad M. Low-dose effect of developmental bisphenol A exposure on sperm count and behaviour in rats. Andrology 2016; 4:594-607. [PMID: 27089241 DOI: 10.1111/andr.12176] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 01/25/2016] [Accepted: 01/28/2016] [Indexed: 01/10/2023]
Abstract
Bisphenol A is widely used in food contact materials and other products and is detected in human urine and blood. Bisphenol A may affect reproductive and neurological development; however, opinion of the European Food Safety Authority (EFSA) on bisphenol A (EFSA J, 13, 2015 and 3978) concluded that none of the available studies were robust enough to provide a point of departure for setting a tolerable daily intake for bisphenol A. In the present study, pregnant Wistar rats (n = 17-21) were gavaged from gestation day 7 to pup day 22 with bisphenol A doses of 0, 25 μg, 250 μg, 5 mg or 50 mg/kg bw/day. In the offspring, growth, sexual maturation, weights and histopathology of reproductive organs, oestrus cyclicity and sperm counts were assessed. Neurobehavioural development was investigated using a behavioural testing battery including tests for motor activity, sweet preference, anxiety and spatial learning. Decreased sperm count was found at the lowest bisphenol A dose, that is 25 μg/kg/day, but not at the higher doses. Reproductive organ weight and histology were not affected and no behavioural effects were seen in male offspring. In the female offspring, exposure to 25 μg/kg bw/day bisphenol A dose resulted in increased body weight late in life and altered spatial learning in a Morris water maze, indicating masculinization of the brain. Decreased intake of sweetened water was seen in females from the highest bisphenol A dose group, also a possible sign of masculinization. The other investigated endpoints were not significantly affected. In conclusion, the present study using a robust experimental study design, has shown that developmental exposure to 25 μg/kg bw/day bisphenol A can cause adverse effects on fertility (decreased sperm count), neurodevelopment (masculinization of spatial learning in females) and lead to increased female body weight late in life. These results suggest that the new EFSA temporary tolerable daily intake of 4 μg/kg bw/day is not sufficiently protective with regard to endocrine disrupting effects of bisphenol A in humans.
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Affiliation(s)
- U Hass
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
| | - S Christiansen
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
| | - J Boberg
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
| | - M G Rasmussen
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
| | - K Mandrup
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
| | - M Axelstad
- National Food Institute, Division of Diet, Disease Prevention and Toxicology, Technical University of Denmark, Søborg, Denmark
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Oliva J, Boberg J, Stenlid J. First report of
Sphaeropsis sapinea
on Scots pine (
Pinus sylvestris
) and Austrian pine (
P. nigra
) in Sweden. ACTA ACUST UNITED AC 2013. [DOI: 10.5197/j.2044-0588.2013.027.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- J. Oliva
- Department of Forest Mycology and Plant PathologySwedish University of Agricultural SciencesBox 702675006UppsalaSweden
| | - J. Boberg
- Department of Forest Mycology and Plant PathologySwedish University of Agricultural SciencesBox 702675006UppsalaSweden
| | - J. Stenlid
- Department of Forest Mycology and Plant PathologySwedish University of Agricultural SciencesBox 702675006UppsalaSweden
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Jacobsen P, Axelstad M, Christiansen S, Boberg J, Hass U. Premature reproductive aging in female rats after developmental exposure to mixtures of endocrine disrupters. Toxicol Lett 2013. [DOI: 10.1016/j.toxlet.2013.05.510] [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: 10/26/2022]
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Mandrup KR, Hass U, Christiansen S, Boberg J. Perinatal ethinyl oestradiol alters mammary gland development in male and female Wistar rats. ACTA ACUST UNITED AC 2012; 35:385-96. [DOI: 10.1111/j.1365-2605.2012.01258.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Christiansen S, Kortenkamp A, Axelstad M, Boberg J, Scholze M, Jacobsen PR, Faust M, Lichtensteiger W, Schlumpf M, Burdorf A, Hass U. Mixtures of endocrine disrupting contaminants modelled on human high end exposures: an exploratory study in rats. ACTA ACUST UNITED AC 2012; 35:303-16. [DOI: 10.1111/j.1365-2605.2011.01242.x] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Jacobsen PR, Christiansen S, Boberg J, Nellemann C, Hass U. Combined exposure to endocrine disrupting pesticides impairs parturition, causes pup mortality and affects sexual differentiation in rats. ACTA ACUST UNITED AC 2010; 33:434-42. [DOI: 10.1111/j.1365-2605.2009.01046.x] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Boberg J, Dahlberg PA, Vessby B, Lithell H. Serum lipoprotein and apolipoprotein concentrations in patients with hyperthyroidism and the effect of treatment with carbimazole. Acta Med Scand 2009; 215:453-9. [PMID: 6588732 DOI: 10.1111/j.0954-6820.1984.tb17678.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Forty patients, 32 women and 8 men, with hyperthyroidism were investigated concerning serum lipoprotein lipid and apolipoprotein concentrations before, during and after treatment with carbimazole to euthyroidism. During the hyperthyroid condition the patients had significantly lower serum concentrations of low density lipoprotein (LDL) and high density lipoprotein (HDL) cholesterol. The serum lipoprotein triglyceride concentrations were within the normal ranges. During treatment to euthyroidism the low serum concentrations of LDL and HDL cholesterol increased to normal values. LDL and HDL concentrations increased in the female patient group by 46 +/- 12 and 25 +/- 9% and in the male patient group by 50 +/- 12 and 19 +/- 11%, respectively. During treatment serum apolipoprotein B and A-I concentrations increased significantly in females by 58 +/- 9 and 18 +/- 5% and in males by 60 +/- 9 and 13 +/- 8%, respectively.
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Waern U, Boberg J, Hellsing K. Evaluation of indices of alcohol intake in a population of 60-year-old men in Uppsala, Sweden. Acta Med Scand 2009; 205:353-60. [PMID: 35927 DOI: 10.1111/j.0954-6820.1979.tb06064.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Christiansen S, Scholze M, Axelstad M, Boberg J, Kortenkamp A, Hass U. Combined exposure to anti-androgens causes markedly increased frequencies of hypospadias in the rat. ACTA ACUST UNITED AC 2008; 31:241-8. [DOI: 10.1111/j.1365-2605.2008.00866.x] [Citation(s) in RCA: 116] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Abstract
UNLABELLED We have developed a new Internet service, which provides mobile access to bioinformatics databases and software tools. The BioWAP service facilitates access to basic bioinformatics databases and analysis tools from everywhere without a PC or a laptop computer. Both open source bioinformatics program suites and Internet services, which are not designed for mobile Internet access, were utilized in the BioWAP service. AVAILABILITY The BioWAP service starting page can be browsed with any WAP terminal from http://bioinf.uta.fi/wml/welcome.wml.
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Affiliation(s)
- P Riikonen
- Institute of Medical Technology, FIN-33014 University of Tampere, Finland
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31
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Alutoin S, Boberg J, Nyström M, Tedengren M. Effects of the multiple stressors copper and reduced salinity on the metabolism of the hermatypic coral Porites lutea. Mar Environ Res 2001; 52:289-299. [PMID: 11570808 DOI: 10.1016/s0141-1136(01)00105-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
This study investigates the physiological responses in the hermatypic coral Porites lutea when exposed to a combination of reduced salinity (from ambient 30 psu to 20 psu) and two concentrations of copper (CuS04), 10 microg 1(-1) and 30 microg 1(-1). Corals were exposed for 14 h and changes in metabolism in terms of primary production rate per chlorophyll a and respiration per surface area (cm2) were used as measures of stress. The results showed no significant changes in respiration rate in any of the treatments compared with controls, or between treatments. The primary production rate, however, displayed a more complex pattern. Corals exposed to reduced salinity, 30 microg 1(-1) copper, and the combination of the two stressors significantly reduced the production rate, whereas corals exposed to 10 microg 1(-1) only, remained unaffected. However, adding 10 microg 1(-1) copper to reduced salinity did not affect the production rate thus indicating an antagonistic effect.
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Affiliation(s)
- S Alutoin
- Department of Systems Ecology, Stockholm University, Sweden
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Abstract
Couples with one partner who stutters completed questionnaires about the fluent partners' awareness of their spouses' stuttering; their general knowledge about stuttering; how fluent spouses had helped their partners; and the nature and benefits of spousal participation in therapy. Findings strongly suggested that spouses may be helpful in therapy. Considerations and suggestions for involving spouses are made on the basis of these findings and those of surveys completed by speech-language pathologists (SLPs) who include spouses in fluency therapy.
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Affiliation(s)
- J Boberg
- Institute for Stuttering Treatment & Research, Edmonton, Alberta, Canada
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Abstract
The prerequisites for accurate prediction of protein secondary structural class (all-alpha, all-beta, alpha+beta, alpha/beta or multidomain) were studied, and a new similarity-based method is presented for the prediction of the secondary structural class of a protein from its sequence. The new method uses representatives of nuclear families as a learning set. For the sequence to be predicted, the method produces a vector of certainty factors called a fuzzy structural vector. Validation with independent test sets shows that the prediction accuracy of the proposed method has clear dependency on the representativity of the learning set. The representatives obtained from the nuclear families of the Brookhaven Protein Data Bank (PDB) were shown to give accurate predictions for PDB proteins, whilst the amino acid composition-based methods used previously achieve their maximum predictability with relatively limited learning sets, and they remain inaccurate even with highly representative learning sets. The usability of the new method is increased further by the fuzzy structural vectors, which substantially reduce the risk of misclassification and realistically describe vague secondary structural tendencies.
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Affiliation(s)
- J Boberg
- Department of Computer Science, University of Turku, Finland
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Abstract
The selection of unbiased representatives from a large database is complicated by the requirement for the chosen entries to be not only genuinely different from each other but also typical for the family of related entries. A method satisfying this 2-fold objective was developed by equipping complete linkage clustering with a novel noise elimination procedure to deal with overlapping cluster structure. A total of 200 nuclear families of truly related Brookhaven Protein Data Bank structures were generated, from which any entry can be chosen to represent its family.
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Abstract
Reliable structural and statistical analyses of three dimensional protein structures should be based on unbiased data. The Protein Data Bank is highly redundant, containing several entries for identical or very similar sequences. A technique was developed for clustering the known structures based on their sequences and contents of alpha- and beta-structures. First, sequences were aligned pairwise. A representative sample of sequences was then obtained by grouping similar sequences together, and selecting a typical representative from each group. The similarity significance threshold needed in the clustering method was found by analyzing similarities of random sequences. Because three dimensional structures for proteins of same structural class are generally more conserved than their sequences, the proteins were clustered also according to their contents of secondary structural elements. The results of these clusterings indicate conservation of alpha- and beta-structures even when sequence similarity is relatively low. An unbiased sample of 103 high resolution structures, representing a wide variety of proteins, was chosen based on the suggestions made by the clustering algorithm. The proteins were divided into structural classes according to their contents and ratios of secondary structural elements. Previous classifications have suffered from subjective view of secondary structures, whereas here the classification was based on backbone geometry. The concise view lead to reclassification of some structures. The representative set of structures facilitates unbiased analyses of relationships between protein sequence, function, and structure as well as of structural characteristics.
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Affiliation(s)
- J Boberg
- Department of Computer Science, University of Turku, Finland
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Boberg J, Larsen FF, Pehrsson SK. The effects of beta blockade with (epanolol) and without (atenolol) intrinsic sympathomimetic activity in stable angina pectoris. Clin Cardiol 1992; 15:591-5. [PMID: 1354086 DOI: 10.1002/clc.4960150808] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.5] [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: 11/11/2022] Open
Abstract
Beta blockade constitutes efficient therapy for stable angina pectoris. The effects of lowering blood pressure and heart rate with such treatment are not always desired. Epanolol is a beta 1-selective partial agonist with minor effects on blood pressure and heart rate at rest. Atenolol is a pure beta 1-selective antagonist with more pronounced effects on blood pressure and heart rate at rest. The effects of epanolol, 200 mg o.d., and atenolol, 100 mg o.d., were compared in 173 middle-aged patients with stable angina pectoris in a randomized, double-blind, parallel group-controlled study for one year. No significant differences were shown in angina attack rate, nitrate consumption, or exercise performance. Resting heart rate and blood pressure were significantly lower on atenolol. Epanolol tended to be better tolerated than atenolol, as shown by visual analogue scales of well-being, activity, energy, and warm extremities, further supported by fewer reports on possible adverse reactions. In conclusion, epanolol appears to be as effective as atenolol and better tolerated in patients with stable angina pectoris.
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Affiliation(s)
- J Boberg
- Department of Medicine, Akademiska Hospital, Uppsala, Sweden
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Abstract
Fibroepithelial polyps usually present as small, benign dermal growths known as skin tags. The incidence of this lesion in the foot has not been precisely determined. An unusual case and a literature review were presented.
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Affiliation(s)
- J J Menn
- St. Mary's Hospital, East St. Louis, IL
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Janzon L, Bergqvist D, Boberg J, Boberg M, Eriksson I, Lindgärde F, Persson G, Almgren B, Fagher B, Kjellström T. Prevention of myocardial infarction and stroke in patients with intermittent claudication; effects of ticlopidine. Results from STIMS, the Swedish Ticlopidine Multicentre Study. J Intern Med 1990; 227:301-8. [PMID: 2187948 DOI: 10.1111/j.1365-2796.1990.tb00164.x] [Citation(s) in RCA: 207] [Impact Index Per Article: 6.1] [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: 12/30/2022]
Abstract
The Swedish Ticlopidine Multicentre Study (STIMS) was a double-blind placebo-controlled trial designed to determine whether ticlopidine, a platelet antiaggregatory agent, reduces the incidence of myocardial infarction, stroke and transitory ischaemic attacks in patients with intermittent claudication. A total of 687 patients was monitored for a minimum of 5 years or until an end-point was reached. The number of end points (99 vs. 89), analysed according to the intention-to-treat principle, was 11.4% lower in the ticlopidine group (P = 0.24). The mortality rate was 29.1% lower in the ticlopidine group (64 vs. 89, P = 0.015); this observation could be accounted for by a reduced mortality from ischaemic heart disease. On-treatment analysis showed there to be significantly fewer end points in the ticlopidine group (47 vs. 76, P = 0.017). Diarrhoea was the most common side-effect. Reversible leucopenia or thrombocytopenia was reported in seven patients on ticlopidine. It is concluded that the high morbidity and mortality from cardio- and cerebrovascular disease in patients with intermittent claudication can be reduced by long-term treatment with ticlopidine.
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Affiliation(s)
- L Janzon
- Department of Surgery, Malmö General Hospital, Sweden
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Siegbahn A, Y-Hassan S, Boberg J, Bylund H, Neerstrand HS, Ostergaard P, Hedner U. Subcutaneous treatment of deep venous thrombosis with low molecular weight heparin. A dose finding study with LMWH-Novo. Thromb Res 1989; 55:767-78. [PMID: 2551070 DOI: 10.1016/0049-3848(89)90307-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.8] [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: 01/01/2023]
Abstract
Treatment of deep venous thrombosis with low molecular weight heparin (LMWH-Novo, Logiparin) was carried out with two different doses of Logiparin, 75 XaI U/kg b.w. twice daily and 150 XaI U/kg b.w. once daily subcutaneously for 5 days. Simultaneously warfarin was given from the first day of heparin treatment. Mean age of the twenty patients was 65 years and one third was females. No serious side effects, hematomas, pulmonary emboli or signs of recurrent thrombosis occurred during treatment with either dose regime. Venografic assessment with Marder scoring one week after initiation of Logiparin treatment showed a slight not significant improvement apparent in 40% of the patients. The activities of F-IIaI and F-XaI in the blood plasma were found to increase after injection of Logiparin. These two parameters seem to be the most suitable for monitoring the effect during treatment. For future studies on the therapeutic effect of Logiparin in deep venous thrombosis a single dose of 150 to 200 F-XaI activity per 24 hours seems to be most suitable.
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Affiliation(s)
- A Siegbahn
- Department of Clinical Chemistry, University Hospital, Uppsala, Sweden
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Hamilton SA, Boberg J, Gilula LA. Lawrence design first metatarsophalangeal prosthesis. A complication. J Am Podiatr Med Assoc 1989; 79:410-2. [PMID: 2810078 DOI: 10.7547/87507315-79-8-410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
A complication involving tibial sesamoid impingement within the hinge of the Lawrence first metatarsophalangeal implant is described. The authors believe that this particular problem may be accentuated by the Lawrence design, which preserves the sesamoid apparatus.
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Boberg J. Results of a long term multicentre study in Sweden. Drugs 1989; 38 Suppl 2:45. [PMID: 2575980 DOI: 10.2165/00003495-198900382-00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- J Boberg
- Department of Medicine, Academic Hospital, Uppsala, Sweden
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42
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Boberg J, Berne C, Pollare T, Gustafsson IB. Effects of diet fat P/S ratio on serum lipoprotein concentrations. Adv Exp Med Biol 1987; 210:159-63. [PMID: 3473918 DOI: 10.1007/978-1-4684-1268-0_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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43
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44
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Gustafsson IB, Vessby B, Karlström B, Boberg J, Boberg M, Lithell H. Effects on the serum lipoprotein concentrations by lipid-lowering diets with different fatty acid compositions. J Am Coll Nutr 1985; 4:241-8. [PMID: 4019944 DOI: 10.1080/07315724.1985.10720080] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
It has been reported that lipid-lowering diets may reduce high density lipoprotein as well as low density lipoprotein cholesterol but that the reduction of the high density lipoproteins is less pronounced with diets of lower P/S ratios. The aim of the present study was therefore to investigate whether the effects on the low density lipoproteins could be maintained, but those on the high density lipoproteins diminished, by reducing the P/S ratio from 1.3 to 0.7. Fourteen hyperlipoproteinaemic patients in a metabolic ward were given two fat-modified diets during two consecutive 3-week periods in a randomized order. The diets were identical with regard to nutrient composition but differed with regard to the P/S ratios, which were 1.3 and 0.7, respectively. The average serum lipoprotein lipid composition and the apolipoprotein concentrations were similar at the end of the two periods. However, in the group of patients (n = 7) who started on the diet with P/S ratio 1.3 the low density lipoprotein cholesterol increased significantly (p less than 0.05) by 7% and the apolipoprotein B concentration by 10% (p less than 0.001) when shifting to the diet with P/S ratio 0.7. No changes of the high density lipoprotein concentrations were seen. The relative content of saturated fatty acids, of oleic acid, and of arachidonic acid in the plasma lipid esters decreased, but the content of linoleic acid increased, when shifting from the diet with a P/S ratio of 0.7 to that of 1.3.(ABSTRACT TRUNCATED AT 250 WORDS)
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Dahlöf B, Danielson M, Andersson O, Thulin T, Ohman P, Mörlin C, Boberg J, Karlberg BE, Jern S, Hansson L. Initial clinical experience with ICI 141,292 (Visacor), a new selective beta 1-adrenoceptor blocker with ISA--a multicentre trial in 59 patients. Br J Clin Pharmacol 1984; 18:831-6. [PMID: 6152175 PMCID: PMC1463665 DOI: 10.1111/j.1365-2125.1984.tb02552.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The objective of this placebo controlled double-blind multicentre (six centres) trial was to investigate the safety and efficacy of ICI 141,292 (Visacor), a new selective beta 1-adrenoceptor antagonist with modest intrinsic sympathomimetic activity (ISA), in hypertensive patients. Fifty-nine patients with mild essential hypertension were randomized to two of five treatment alternatives (placebo, 50 mg, 100 mg 200 mg or 300 mg of ICI 141,292) each given once daily for 2 weeks with a 4 week placebo period before (run in) and in between (wash out) active periods. Thus, each of the five treatments was evaluated in 20-24 patients. After 2 weeks (24 h after last dose) the reduction in recumbent blood pressure for all doses except 50 mg of ICI 141,292 was statistically significant and in the order of 6/4 mm Hg. Standing systolic blood pressure was reduced in a dose-dependent way but only significant for 200 mg of ICI 141,292 (8 mm Hg). Heart rate changes (delta) less than 4 beats/min) were not statistically significant for any dose. It is concluded that ICI 141,292 was well tolerated and had a significant but weak antihypertensive effect which might be explained by too much beta 1-adrenoceptor ISA.
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Gustafsson IB, Boberg J, Karlström B, Lithell H, Vessby B. Similar serum lipoprotein reductions by lipid-lowering diets with different polyunsaturated:saturated fat values. Br J Nutr 1983; 50:531-7. [PMID: 6639917 DOI: 10.1079/bjn19830124] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Lipid-lowering diets enriched in polyunsaturated fat decrease the serum cholesterol in hyperlipoproteinaemia, usually by reducing both the low-density-lipoprotein (LDL) and high-density-lipoprotein (HDL) cholesterol concentrations. The aim of the present study was to investigate whether the effects on LDL could be maintained but those on HDL cholesterol be diminished by reducing the ratio, polyunsaturated:saturated fat (P:S) of the diet. Twenty hyperlipoproteinaemic patients (six with type IIa, eight with type IIb and six with type IV) in a metabolic ward were given two fat-modified diets during two consecutive 3-week periods in a randomized order. The diets were identical with regard to nutrient composition but differed with regard to the P:S values, which were 2.0 and 1.3 respectively. The lipoprotein-lipid composition and serum apolipoprotein concentrations were similar at the end of the two dietary periods in type IIa and type IV patients but in type IIb patients a more pronounced reduction of the LDL-cholesterol concentration by 9% (P less than 0.05) was achieved on the diet with the higher P:S value. The HDL-cholesterol did not differ significantly. The results indicate that increasing the P:S value of lipid-lowering diets from 1.3 to 2.0 does not offer a great advantage with regard to the lipoprotein-lipid reductions achieved in moderate hyperlipoproteinaemia.
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Gustafsson IB, Vessby B, Boberg J, Karlström B, Lithell H. Effects of lipid-lowering diets on patients with hyperlipoproteinemia. J Am Diet Assoc 1982; 80:426-32. [PMID: 7076998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Bergström K, Boberg J, Dahlberg PA, Hall K, Johansson SG, Karlsson A, Smith U, Wiman K. [Cell surface receptors and their disorders]. Lakartidningen 1981; 78:1309-18. [PMID: 6261050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Lithell H, Boberg J, Hellsing K, Ljunghall S, Lundqvist G, Vessby B, Wide L. Serum lipoprotein and apolipoprotein concentrations and tissue lipoprotein-lipase activity in overt and subclinical hypothyroidism: the effect of substitution therapy. Eur J Clin Invest 1981; 11:3-10. [PMID: 6783426 DOI: 10.1111/j.1365-2362.1981.tb01758.x] [Citation(s) in RCA: 96] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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50
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Boberg J, Gustafsson IB, Karlström B, Lithell H, Vessby B, Werner I. Treatment of hyperlipoproteinemia with 'type-specific' diets under metabolic ward conditions. Effects on serum lipoproteins and serum lipid esters. Ann Nutr Metab 1981; 25:320-33. [PMID: 7337424 DOI: 10.1159/000176512] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Three lipid lowering diets for treatment of different types of hyperlipoproteinemia were prepared based on ordinary Swedish food. Seven different daily menus were planned with an identical composition at all energy levels. The fat and protein content provided 34-35% and 20% of the energy, respectively. The ratios between polyunsaturated and saturated fatty acids varied in the three diets between 1.3 and 2.0. The cholesterol content was 0.14 g per 6.7 MJ. The effects of the diets were evaluated under isoenergetic conditions in 45 hyperlipoproteinemic patients during 2 weeks. The concentration of the very low density lipoprotein triglycerides decreased by 27-33%, the low density lipoprotein by 16-19% and the high density lipoprotein cholesterol by 5-13% compared with the concentrations during a preceding 2-week period on a control diet. No changes of the lipoprotein removal capacity indicated that the effects were mainly due to a reduced production of serum lipoproteins.
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