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Strom NI, Verhulst B, Bacanu SA, Cheesman R, Purves KL, Gedik H, Mitchell BL, Kwong AS, Faucon AB, Singh K, Medland S, Colodro-Conde L, Krebs K, Hoffmann P, Herms S, Gehlen J, Ripke S, Awasthi S, Palviainen T, Tasanko EM, Peterson RE, Adkins DE, Shabalin AA, Adams MJ, Iveson MH, Campbell A, Thomas LF, Winsvold BS, Drange OK, Børte S, Ter Kuile AR, Nguyen TH, Meier SM, Corfield EC, Hannigan L, Levey DF, Czamara D, Weber H, Choi KW, Pistis G, Couvy-Duchesne B, Van der Auwera S, Teumer A, Karlsson R, Garcia-Argibay M, Lee D, Wang R, Bjerkeset O, Stordal E, Bäckmann J, Salum GA, Zai CC, Kennedy JL, Zai G, Tiwari AK, Heilmann-Heimbach S, Schmidt B, Kaprio J, Kennedy MM, Boden J, Havdahl A, Middeldorp CM, Lopes FL, Akula N, McMahon FJ, Binder EB, Fehm L, Ströhle A, Castelao E, Tiemeier H, Stein DJ, Whiteman D, Olsen C, Fuller Z, Wang X, Wray NR, Byrne EM, Lewis G, Timpson NJ, Davis LK, Hickie IB, Gillespie NA, Milani L, Schumacher J, Woldbye DP, Forstner AJ, Nöthen MM, Hovatta I, Horwood J, Copeland WE, Maes HH, McIntosh AM, Andreassen OA, Zwart JA, Mors O, Børglum AD, Mortensen PB, Ask H, Reichborn-Kjennerud T, Najman JM, Stein MB, Gelernter J, Milaneschi Y, Penninx BW, Boomsma DI, Maron E, Erhardt-Lehmann A, Rück C, Kircher TT, Melzig CA, Alpers GW, Arolt V, Domschke K, Smoller JW, Preisig M, Martin NG, Lupton MK, Luik AI, Reif A, Grabe HJ, Larsson H, Magnusson PK, Oldehinkel AJ, Hartman CA, Breen G, Docherty AR, Coon H, Conrad R, Lehto K, Deckert J, Eley TC, Mattheisen M, Hettema JM. Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.03.24309466. [PMID: 39006447 PMCID: PMC11245051 DOI: 10.1101/2024.07.03.24309466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The major anxiety disorders (ANX; including generalized anxiety disorder, panic disorder, and phobias) are highly prevalent, often onset early, persist throughout life, and cause substantial global disability. Although distinct in their clinical presentations, they likely represent differential expressions of a dysregulated threat-response system. Here we present a genome-wide association meta-analysis comprising 122,341 European ancestry ANX cases and 729,881 controls. We identified 58 independent genome-wide significant ANX risk variants and 66 genes with robust biological support. In an independent sample of 1,175,012 self-report ANX cases and 1,956,379 controls, 51 of the 58 associated variants were replicated. As predicted by twin studies, we found substantial genetic correlation between ANX and depression, neuroticism, and other internalizing phenotypes. Follow-up analyses demonstrated enrichment in all major brain regions and highlighted GABAergic signaling as one potential mechanism underlying ANX genetic risk. These results advance our understanding of the genetic architecture of ANX and prioritize genes for functional follow-up studies.
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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, LMU Munich, Munich, Germany
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Brad Verhulst
- Psychiatry and Behavioral Sciences, Texas A&M University, College Station, Texas, USA
| | | | - Rosa Cheesman
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hüseyin Gedik
- Institute for Genomics in Health, Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
- Life Sciences, Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia, USA
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Brittany L Mitchell
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, Queensland University , Brisbane, Queensland, Australia
| | - Alex S Kwong
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Clinical Brain Sciences, Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Annika B Faucon
- Division of Medicine, Human Genetics, Vanderbilt University, Nashville, Tennessee, USA
| | - Kritika Singh
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sarah Medland
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Lucia Colodro-Conde
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Biomedicine, Human Genomics Research Group, University of Basel; University Hospital Basel, Basel, Switzerland
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Medical Genetics and Pathology, Medical Faculty, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, Human Genomics Research Group, University of Basel; University Hospital Basel, Basel, Switzerland
| | - Jan Gehlen
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Stephan Ripke
- Dept. of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Swapnil Awasthi
- Dept. of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Teemu Palviainen
- Helsinki Institute of Life Science, Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Elisa M Tasanko
- Faculty of Medicine, Department of Psychology and Logopedics, SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - Roseann E Peterson
- Institute for Genomics in Health, Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Daniel E Adkins
- School of Medicine, Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Andrey A Shabalin
- School of Medicine, Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Mark J Adams
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Matthew H Iveson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Archie Campbell
- College of Medicine and Veterinary Medicine, Institute of Genetics and Cancer; Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Laurent F Thomas
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, 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
- BioCore - Bioinformatics Core Facility, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bendik S Winsvold
- Division of Clinical Neuroscience, Department of Research and Innovation, Oslo University Hospital, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Ole Kristian Drange
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
- Division of Mental Health, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
- Centre of Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Psychiatry, Sørlandet Hospital, Kristiansand, Norway
| | - Sigrid Børte
- Division of Clinical Neuroscience, Department of Research and Innovation; Musculoskeletal Health, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Abigail R Ter Kuile
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Tan-Hoang Nguyen
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sandra M Meier
- Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Elizabeth C Corfield
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute , Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Laurie Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Daniel F Levey
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Psychiatry, Research, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Darina Czamara
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany
| | - Karmel W Choi
- Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Giorgio Pistis
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Baptiste Couvy-Duchesne
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- ARAMIS laboratory, Paris Brain Institute, Paris, France
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Miguel Garcia-Argibay
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Donghyung Lee
- Department of Statistics, Miami University, Oxford, Ohio, USA
| | - Rujia Wang
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ottar Bjerkeset
- Faculty of Nursing and Health Science, Nord University, Levanger, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eystein Stordal
- Department of Psychiatry, Hospital Namsos, Nord-Trøndelag Health Trustt, Namsos, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Julia Bäckmann
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Giovanni A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Child Psychiatry, National Institute of Developmental Psychiatry, São Paulo, Brazil
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Arun K Tiwari
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Sciences Department, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Jaakko Kaprio
- Helsinki Institute of Life Science, Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Martin M Kennedy
- Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Joseph Boden
- Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - 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
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Christel M Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Queensland, Australia
| | - Fabiana L Lopes
- National Institute of Mental Health, Human Genetics Branch, National Institutes of Health, Bethesda, Maryland, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Nirmala Akula
- National Institute of Mental Health, Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health, Bethesda, Maryland, USA
| | - Francis J McMahon
- National Institute of Mental Health, Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health, Bethesda, Maryland, USA
- Psychiatry & Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Elisabeth B Binder
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
| | - Lydia Fehm
- Department of Psychology, Zentrum für Psychotherapie, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Enrique Castelao
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Henning Tiemeier
- Social and Behavioral Science, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - David Whiteman
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Catherine Olsen
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | | | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Enda M Byrne
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
| | - Glyn Lewis
- UCL Division of Psychiatry, University College London, London, UK
| | - Nicholas J Timpson
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | | | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - David P Woldbye
- Department of Neuroscience, Laboratory of Neural Plasticity, University of Copenhagen, Copenhagen, Denmark
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Iiris Hovatta
- Faculty of Medicine, Department of Psychology and Logopedics and SleepWell Research Program, University of Helsinki, Helsinki, Finland
| | - John Horwood
- Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - William E Copeland
- UVM Medical Center, Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Hermine H Maes
- Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
- Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Andrew M McIntosh
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ole A Andreassen
- NORMENT Centre, University of Oslo, Oslo, Norway
- Centre of Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- K. G. Jebsen Center for Neurodevelopmental disorders, University of Oslo, Oslo, Norway
| | - John-Anker Zwart
- Division of Clinical Neuroscience, Department of Research and Innovation; Musculoskeletal Health, Oslo University Hospital, Oslo, Norway
- Department of Public Health and Nursing, HUNT Center for Molecular and Clinical Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole Mors
- Department of Psychiatry, Psychosis Research Unit, Aarhus University Hospital, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - 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 Personalised Medicine, Aarhus University, Aarhus, Denmark
| | - Preben B Mortensen
- The National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Helga Ask
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Ted Reichborn-Kjennerud
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
| | - Jackob M Najman
- Faculty of Medicine, School of Public Health, University of Queensland, Herston, Queensland, Australia
| | - Murray B Stein
- Psychiatry, University of California San Diego, La Jolla, CA, USA
- School of Public Health, University of California San Diego, La Jolla, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Psychiatry Research, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Departments of Genetics and Neuroscience, Yale University of Medicine, New Haven, Connecticut, USA
| | - Yuri Milaneschi
- Amsterdam Neuroscience; Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Brenda W Penninx
- Amsterdam Neuroscience; Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Dorret I Boomsma
- Twin Register and Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Eduard Maron
- Psychiatry, University of Tartu, Tartu, Estonia
- Department of Medicine, Centre for Neuropsychopharmacology,, Division of Brain Sciences, Imperial College London, London, UK
| | - Angelika Erhardt-Lehmann
- Department of Genes and Environment, Max-Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Christian Rück
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Tilo T Kircher
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Christiane A Melzig
- Psychology, Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
- Psychology, Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany
| | - Georg W Alpers
- School of Social Sciences, Department of Psychology, University of Mannheim, Mannheim, Germany
| | - Volker Arolt
- Department of Mental Health, Institute for Translational Psychiatry, University of Muenster, Muenster, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Center for Mental Health (DZPG), Partner Site Berlin, Berlin, Germany
| | - Jordan W Smoller
- Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Martin Preisig
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Nicholas G Martin
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michelle K Lupton
- Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, Queensland University , Brisbane, Queensland, Australia
- Faculty of Health, Queensland University of technology, Queensland, Australia
| | - Annemarie I Luik
- Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt - Goethe University, Frankfurt, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Larsson
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Albertine J Oldehinkel
- Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Catharina A Hartman
- Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anna R Docherty
- School of Medicine, Psychiatry, University of Utah, Salt Lake City, Utah, USA
- School of Medicine, Psychiatry; Huntsman Mental Health Institute, University of Utah, Salt Lake City, Utah, USA
- Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hilary Coon
- School of Medicine, Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Rupert Conrad
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Münster, Münster, Germany
| | - Kelli Lehto
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Manuel Mattheisen
- Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - John M Hettema
- Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, Texas, USA
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Fani N, Fulton T, Botzanowski B. The Neurophysiology of Interoceptive Disruptions in Trauma-Exposed Populations. Curr Top Behav Neurosci 2024. [PMID: 38678141 DOI: 10.1007/7854_2024_469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
Abstract
In the aftermath of psychological trauma, many individuals experience perturbations in interoception, a term that broadly references the ability to accurately detect body signals and integrate these signals with emotional states. These interoceptive disruptions can manifest in different ways, including blunting or amplification of sensitivity to internal physiological signals. In this chapter we review extant neurophysiological research on interoception in trauma-exposed populations, with a particular focus on the effects of chronic interpersonal trauma, such as childhood maltreatment and racial discrimination. We explore research that used different types of interoceptive assays, from self-report measures to electrophysiological and neuroimaging tools to characterize the disruptions in pain perception, interoceptive acuity, and physiological responses that may arise after a traumatic event. Finally, we discuss interventions that are designed to target interoceptive mechanisms, from exposure-based therapies to mindfulness-based practices, as well as future directions in trauma interoception research.
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Affiliation(s)
- Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
| | - Travis Fulton
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Boris Botzanowski
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
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3
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Carroll J. The Role of Prosocial Behaviour, Personality and General Mental Health in Predicting Emoji Use and Preference. Psychol Rep 2023:332941231220304. [PMID: 38059431 DOI: 10.1177/00332941231220304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Emojis are prevalent in text-based communication, but the factors that influence our use and preference for emojis remains unclear. This study investigated how emoji use and preference could be explained by three factors; mental health, personality and prosocial behaviour. A questionnaire consisting of five measures was completed by 222 participants and both Pearson correlations and multiple regressions were conducted on the data. The results showed prosocial behaviour significantly related to frequency, attitudes and motivations towards emoji use as well as to positive emoji preference. Agreeableness related to the frequency of emoji use. Extraversion related to both positive and negative emoji preference while conscientiousness and emotional stability significantly related to negative emoji preference only. General mental health significantly related to negative emoji preference. The regressions found all of the factors identified in the correlations predicted emoji use and preference with the exception of extraversion. Further research is needed to explore how the impact of the emotions depicted by emojis on these factors and to investigate how emojis are used by people with specific mental health conditions.
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Affiliation(s)
- Janine Carroll
- Department of Psychology, University of Chester, Chester, UK
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4
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Baldiotti ALP, Amaral-Freitas G, Barbosa MCF, Moreira PR, Machado RA, Coletta RD, Meger MN, Paiva SM, Scariot R, Ferreira FDM. Associations between Anxiety, Depression, Chronic Pain and Oral Health-Related Quality of Life, Happiness, and Polymorphisms in Adolescents' Genes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3321. [PMID: 36834016 PMCID: PMC9967116 DOI: 10.3390/ijerph20043321] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Adolescence is marked by changes and vulnerability to the emergence of psychological problems. This study aimed to investigate associations between anxiety/depression/chronic pain and oral health-related quality of life (OHRQoL)/happiness/polymorphisms in the COMT, HTR2A and FKBP5 genes in Brazilian adolescents. A cross-sectional study was conducted with ninety adolescents 13 to 18 years. Anxiety, depression and chronic pain were evaluated using the RDC/TMD. The Oral Health Impact Profile was used to assess oral OHRQoL. The Subjective Happiness Scale was used to assess happiness. Single-nucleotide polymorphisms in COMT (rs165656, rs174675), HTR2A (rs6313, rs4941573) and FKBP5 (rs1360780, rs3800373) were genotyped using the Taqman® method. Bivariate and multivariate logistic regression analyses were performed (p < 0.05). Chronic pain and depression were associated with feelings of happiness (p < 0.05). A significant inverse association was found between anxiety and OHRQoL (p = 0.004). The presence of minor allele C of COMT rs174675 was significantly associated with depression (p = 0.040). Brazilian adolescents with depression and chronic pain considers themselves to be less happy than others and those with anxiety are more likely to have a negative impact on OHRQoL. Moreover, the rs174675 variant allele in the COMT gene was associated with depressive symptoms in Brazilian adolescents.
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Affiliation(s)
- Ana Luiza Peres Baldiotti
- Department of Pediatric Dentistry, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Gabrielle Amaral-Freitas
- Department of Pediatric Dentistry, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | | | - Paula Rocha Moreira
- Department of Morphology, Institute of Biological Sciences (ICB), Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Renato Assis Machado
- Department of Oral Diagnosis and Graduate Program in Oral Biology, School of Dentistry, University of Campinas, Piracicaba 13414-903, SP, Brazil
| | - Ricardo Della Coletta
- Department of Oral Diagnosis and Graduate Program in Oral Biology, School of Dentistry, University of Campinas, Piracicaba 13414-903, SP, Brazil
| | | | - Saul Martins Paiva
- Department of Pediatric Dentistry, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Rafaela Scariot
- Departament of Oral Surgery and Maxilofacial, Federal University of Paraná, Curitiba 81530-000, PR, Brazil
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5
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Peel AJ, Oginni O, Assary E, Krebs G, Lockhart C, McGregor T, Palaiologou E, Ronald A, Danese A, Eley TC. A multivariate genetic analysis of anxiety sensitivity, environmental sensitivity and reported life events in adolescents. J Child Psychol Psychiatry 2023; 64:289-298. [PMID: 36513622 PMCID: PMC10107936 DOI: 10.1111/jcpp.13725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Despite being considered a measure of environmental risk, reported life events are partly heritable. One mechanism that may contribute to this heritability is genetic influences on sensitivity, relating to how individuals process and interpret internal and external signals. The aim of this study was to explore the genetic and environmental overlap between self-reported life events and measures of sensitivity. METHODS At age 17, 2,939 individuals from the Twins Early Development Study (TEDS) completed measures of anxiety sensitivity (Children's Anxiety Sensitivity Index), environmental sensitivity (Highly Sensitive Child Scale) and reported their experience of 20 recent life events. Using multivariate Cholesky decomposition models, we investigated the shared genetic and environmental influences on the associations between these measures of sensitivity and the number of reported life events, as well as both negative and positive ratings of life events. RESULTS The majority of the associations between anxiety sensitivity, environmental sensitivity and reported life events were explained by shared genetic influences (60%-75%), with the remainder explained by nonshared environmental influences (25%-40%). Environmental sensitivity showed comparable genetic correlations with both negative and positive ratings of life events (rA = .21 and .15), anxiety sensitivity only showed a significant genetic correlation with negative ratings of life events (rA = .33). Approximately 10% of the genetic influences on reported life events were accounted for by influences shared with anxiety sensitivity and environmental sensitivity. CONCLUSION Differences in how individuals process the contextual aspects of the environment or interpret their own physical and emotional response to environmental stimuli may be one mechanism through which genetic liability influences the subjective experience of life events.
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Affiliation(s)
- Alicia J Peel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olakunle Oginni
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elham Assary
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Georgina Krebs
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.,National and Specialist OCD, BDD and Related Disorders Clinic for Young People, South London and Maudsley NHS Foundation Trust, London, UK
| | - Celestine Lockhart
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Thomas McGregor
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elisavet Palaiologou
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,National and Specialist CAMHS Trauma, Anxiety, and Depression Clinic, South London and Maudsley NHS Foundation Trust, London, UK
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Biomedical Research Centre, South London and Maudsley Hospital, London, UK
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6
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Peel AJ, Purves KL, Baldwin JR, Breen G, Coleman JRI, Pingault JB, Skelton M, Ter Kuile AR, Danese A, Eley TC. Genetic and early environmental predictors of adulthood self-reports of trauma. Br J Psychiatry 2022; 221:613-620. [PMID: 35105391 DOI: 10.1192/bjp.2021.207] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Retrospective self-reports of childhood trauma are associated with a greater risk of psychopathology in adulthood than prospective measures of trauma. Heritable reporter characteristics are anticipated to account for part of this association, whereby genetic predisposition to certain traits influences both the likelihood of self-reporting trauma and of developing psychopathology. However, previous research has not considered how gene-environment correlation influences these associations. AIMS To investigate reporter characteristics associated with retrospective self-reports of childhood trauma and whether these associations are accounted for by gene-environment correlation. METHOD In 3963 unrelated individuals from the Twins Early Development Study, we tested whether polygenic scores for 21 psychiatric, cognitive, anthropometric and personality traits were associated with retrospectively self-reported childhood emotional and physical abuse. To assess the presence of gene-environment correlation, we investigated whether these associations remained after controlling for composite scores of environmental adversity across development. RESULTS Retrospectively self-reported childhood trauma was associated with polygenic scores for autism spectrum disorder (ASD), body mass index (BMI), post-traumatic stress disorder (PTSD) and risky behaviours. When composite scores of environmental adversity were controlled for, only associations with the polygenic scores for ASD and PTSD remained significant. CONCLUSIONS Genetic predisposition to ASD and PTSD may increase liability to experiencing or interpreting events as traumatic. Associations between genetic predisposition for risky behaviour and BMI with self-reported childhood trauma may reflect gene-environment correlation. Studies of the association between retrospectively self-reported childhood trauma and later-life outcomes should consider that genetically influenced reporter characteristics may confound associations, both directly and through gene-environment correlation.
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Affiliation(s)
- Alicia J Peel
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Jessie R Baldwin
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, UK
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, UK
| | - Jean-Baptiste Pingault
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, UK
| | - Megan Skelton
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, UK
| | - Abigail R Ter Kuile
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, UK
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and National and Specialist CAMHS Trauma, Anxiety, and Depression Clinic, South London and Maudsley NHS Foundation Trust, UK
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, UK
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7
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Wang R, Snieder H, Hartman CA. Familial co-aggregation and shared heritability between depression, anxiety, obesity and substance use. Transl Psychiatry 2022; 12:108. [PMID: 35296640 PMCID: PMC8927111 DOI: 10.1038/s41398-022-01868-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 02/22/2022] [Accepted: 02/24/2022] [Indexed: 11/09/2022] Open
Abstract
Depression, anxiety, obesity and substance use are heritable and often co-occur. However, the mechanisms underlying this co-occurrence are not fully understood. We estimated their familial aggregation and co-aggregation as well as heritabilities and genetic correlations to improve etiological understanding. Data came from the multi-generational population-based Lifelines Cohort Study (n = 162,439). Current depression and anxiety were determined using the MINI International Neuropsychiatric Interview. Smoking, alcohol and drug use were assessed by self-report questionnaires. Body mass index (BMI) and obesity were calculated by measured height and weight. Modified Cox proportional hazards models estimated recurrence risk ratios (λR), and restricted maximum likelihood variance decomposition methods estimated heritabilities (h2) and genetic correlations (rG). All analyses were adjusted for age, age2, and sex. Depression, anxiety, obesity and substance use aggregated within families (λR first-degree relative = 1.08-2.74) as well as between spouses (λR = 1.11-6.60). All phenotypes were moderately heritable (from h2depression = 0.25 to h2BMI = 0.53). Depression, anxiety, obesity and smoking showed positive familial co-aggregation. That is, each of these traits confers increased risk on the other ones within families, consistent with the positive genetic correlations between these phenotypes (rG = 0.16-0.94). The exception was obesity, which showed a negative co-aggregation with alcohol and drug use and vice versa, consistent with the negative genetic correlations of BMI with alcohol (rG = -0.14) and soft drug use (rG = -0.10). Patterns of cross-phenotype recurrence risk highlight the co-occurrence among depression, anxiety, obesity and substance use within families. Patterns of genetic overlap between these phenotypes provide clues to uncovering the mechanisms underlying familial co-aggregation.
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Affiliation(s)
- Rujia Wang
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
| | - Harold Snieder
- grid.4494.d0000 0000 9558 4598Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Catharina A. Hartman
- grid.4494.d0000 0000 9558 4598Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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8
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Nikolić M, Hannigan LJ, Krebs G, Sterne A, Gregory AM, Eley TC. Aetiology of shame and its association with adolescent depression and anxiety: results from a prospective twin and sibling study. J Child Psychol Psychiatry 2022; 63:99-108. [PMID: 34132398 PMCID: PMC9292396 DOI: 10.1111/jcpp.13465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/24/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Shame is considered a maladaptive self-conscious emotion that commonly co-occurs alongside depression and anxiety. Little is known, however, about the aetiology of shame and its associations with depression and anxiety. We estimated, for the first time, genetic and environmental influences on shame and on its associations with depression and anxiety in adolescence. METHODS The sample was twin and sibling pairs from the Genesis 1219 Study (Time 1, N = 2,685; males 42.8%, Mage = 14.95, SD = 1.67, age range: 12-21; Time 2, N = 1618; males 39.7%, Mage = 16.97, SD = 1.64, age range: 14-23). Participants completed validated questionnaires to measure shame (at Time 1), depression and anxiety (at Times 1 and 2). RESULTS Shame was moderately to strongly associated with concurrent depression and anxiety. Prospectively, shame was significantly associated with an increase in depression, but not anxiety. Genetic analyses revealed that shame was moderately heritable with substantial nonshared environmental influence. The associations between shame and concurrent depression and anxiety were primarily accounted for by overlapping genetic influences. Prospectively, the association between shame and later depression was primarily accounted for by genetic and nonshared environmental influences shared with earlier depression. The unique association between shame and later depression was mostly explained by common nonshared environmental influences. CONCLUSIONS The findings offer novel evidence regarding aetiology of shame-although moderately heritable, shame in adolescents may also result from nonshared environmental factors. Genetic and nonshared environmental influences contribute to the co-occurrence of shame with depression and anxiety.
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Affiliation(s)
| | | | - Georgina Krebs
- King’s College LondonLondonUK,National and Specialist OCD and Related Disorders Clinic for Young PeopleSouth London and Maudsley NHS Foundation TrustLondonUK
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9
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Ask H, Cheesman R, Jami ES, Levey DF, Purves KL, Weber H. Genetic contributions to anxiety disorders: where we are and where we are heading. Psychol Med 2021; 51:2231-2246. [PMID: 33557968 DOI: 10.1017/s0033291720005486] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Anxiety disorders are among the most common psychiatric disorders worldwide. They often onset early in life, with symptoms and consequences that can persist for decades. This makes anxiety disorders some of the most debilitating and costly disorders of our time. Although much is known about the synaptic and circuit mechanisms of fear and anxiety, research on the underlying genetics has lagged behind that of other psychiatric disorders. However, alongside the formation of the Psychiatric Genomic Consortium Anxiety workgroup, progress is rapidly advancing, offering opportunities for future research.Here we review current knowledge about the genetics of anxiety across the lifespan from genetically informative designs (i.e. twin studies and molecular genetics). We include studies of specific anxiety disorders (e.g. panic disorder, generalised anxiety disorder) as well as those using dimensional measures of trait anxiety. We particularly address findings from large-scale genome-wide association studies and show how such discoveries may provide opportunities for translation into improved or new therapeutics for affected individuals. Finally, we describe how discoveries in anxiety genetics open the door to numerous new research possibilities, such as the investigation of specific gene-environment interactions and the disentangling of causal associations with related traits and disorders.We discuss how the field of anxiety genetics is expected to move forward. In addition to the obvious need for larger sample sizes in genome-wide studies, we highlight the need for studies among young people, focusing on specific underlying dimensional traits or components of anxiety.
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Affiliation(s)
- Helga Ask
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Eshim S Jami
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
| | - Daniel F Levey
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut
| | - Kirstin L Purves
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Heike Weber
- Department of Psychology, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
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10
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Iorfino F, Marangoni C, Cui L, Hermens DF, Hickie IB, Merikangas KR. Familial aggregation of anxiety disorder subtypes and anxious temperament in the NIMH Family Study of Affective Spectrum Disorders. J Affect Disord 2021; 281:751-758. [PMID: 33267979 DOI: 10.1016/j.jad.2020.11.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/30/2020] [Accepted: 11/08/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Evidence from family and twin studies suggests that mood and anxiety disorders, and related temperamental factors may share common etiologic factors. We examine the familial aggregation and coaggregation of anxiety disorder subtypes and anxiety-related temperamental traits, and their association with mood disorders. METHODS A total of 477 probands and 549 first-degree adult relatives from a large community based family study of affective spectrum disorders completed semi-structured diagnostic interviews and self-reported assessments of temperamental traits including: negative affectivity on the 'Positive and Negative Affect Schedule' (PANAS), neuroticism anxiety on the 'Zuckerman-Kuhlman Personality Questionnaire' (ZKPQ), and anxiety sensitivity on the 'Anxiety Sensitivity Index' (ASI). RESULTS The anxiety-related temperamental traits of negative affectivity, neuroticism anxiety and anxiety sensitivity had significant familial specificity, even after controlling for comorbid mood and anxiety disorders in probands and relatives. Yet, these traits in probands did not predict anxiety disorders in relatives. Although some anxiety subtypes were familial, there were no longer familial links between anxiety disorder subtypes (generalized anxiety disorder, social anxiety or panic disorder) after controlling for mood disorder subtypes in probands and relatives. LIMITATIONS Cross-sectional interviews were used to estimate disorders, and self-report measures were used for temperamental traits. CONCLUSIONS These results confirm previous research regarding familial overlap between anxiety subtypes and mood disorders, however their shared liability cannot be fully explained by anxiety-related temperamental traits. These findings suggest that anxiety-related temperamental traits may indicate a vulnerability for mood and anxiety disorders or a potential consequence of these conditions.
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Affiliation(s)
- Frank Iorfino
- Brain and Mind Centre, University of Sydney, Australia.
| | - Ciro Marangoni
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Lihong Cui
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Australia; Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
| | - Kathleen Ries Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
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11
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Hawrilenko M, Masyn KE, Cerutti J, Dunn EC. Individual Differences in the Stability and Change of Childhood Depression: A Growth Mixture Model With Structured Residuals. Child Dev 2021; 92:e343-e363. [PMID: 33423273 DOI: 10.1111/cdev.13502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Studies of developmental trajectories of depression are important for understanding depression etiology. Existing studies have been limited by short time frames and no studies have explored a key factor: differential patterns of responding to life events. This article introduces a novel analytic technique, growth mixture modeling with structured residuals, to examine the course of youth depression in a large, prospective cohort (N = 11,641, ages 4-16.5, 96% White). Age-specific critical points were identified at ages 8 and 13 where depression symptoms spiked for a minority of children. Most depression risk was due to dynamic responses to environmental events, drawn not from a small pool of persistently depressed children, but a larger pool of children who varied across higher and lower symptom levels.
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Affiliation(s)
| | | | | | - Erin C Dunn
- Massachusetts General Hospital.,Harvard Medical School.,Center on the Developing Child at Harvard University
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12
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Spatial working memory performance in children and adolescents with major depressive disorder and dysthymic disorder. J Affect Disord 2021; 278:470-476. [PMID: 33017674 DOI: 10.1016/j.jad.2020.09.093] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/30/2020] [Accepted: 09/21/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Spatial working memory (SWM) is known to be impaired in children with Major depressive disorder (MDD), and, separately, Dysthymic disorder (DD) (DSM V persistent depressive disorder equivalent). Yet, it remains unclear whether MDD or DD is associated with worse SWM impairment, whether DD adds to the SWM impairments evident in MDD and whether these findings are evident in children as well as adolescents with MDD and DD. METHODS The association of SWM and its strategy and spatial span components is explored in carefully defined children and adolescents (age 6-16 years) with MDD alone (N = 29), MDD and DD (N = 130), DD alone (N = 154) compared to healthy typically developing participants (N = 107), controlling for age, gender, full scale IQ and social adversity status. The relationship between SWM and its strategy and span components and anxious/depressed and inattentive symptoms were also examined. RESULTS MDD was associated with worse SWM impairment than DD and there was no evidence of an additive effect of MDD and DD on SWM, strategy and spatial span deficits. Further, these findings were age-independent. LIMITATIONS The data presented are cross sectional and limited to SWM deficits in MDD and/or DD. CONCLUSIONS This study concurs with and extends current influential models about the cognitive effects of MDD and DD. Clinical implications and future research directions are discussed.
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13
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Barlow FK. Nature vs. nurture is nonsense: On the necessity of an integrated genetic, social, developmental, and personality psychology. AUSTRALIAN JOURNAL OF PSYCHOLOGY 2020. [DOI: 10.1111/ajpy.12240] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Fiona Kate Barlow
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia,
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14
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Chong LJ, Meyer A. Psychometric properties of threat-related attentional bias in young children using eye-tracking. Dev Psychobiol 2020; 63:1120-1131. [PMID: 33146915 DOI: 10.1002/dev.22053] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 10/02/2020] [Accepted: 10/06/2020] [Indexed: 12/14/2022]
Abstract
Anxiety is one of the most common forms of child psychopathology associated with persistent impairment across the lifespan. Therefore, investigating mechanisms that underlie anxiety in early childhood may improve prevention and intervention efforts. Researchers have linked selective attention toward threat (i.e., attentional bias to threat) with the development of anxiety. However, previous work on attentional bias has used less reliable, reaction time (RT)-based measures of attention. Additionally, few studies have used eye-tracking to measure attentional bias in young children. In the present study, we investigated the psychometric properties of an eye-tracking measure of attentional bias in a sample of young children between 6- and 9-years-old and explored if trait and clinical anxiety were related to attentional biases to threat. Results showed good psychometric properties for threat and neutral attentional biases, comparable to those found in adult eye-tracking studies. Temperamental and clinical anxiety did not significantly relate to threat/neutral dwell time and attentional biases. The significance of these null findings was discussed in relation to existing developmental theories of attentional biases. Future studies should explore if temperamental or clinical anxiety prospectively predict threat attentional bias and the onset of anxiety in older children using a longitudinal design.
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Affiliation(s)
- Lyndsey J Chong
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Alexandria Meyer
- Department of Psychology, Florida State University, Tallahassee, FL, USA
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15
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Krebs G, Hannigan L, Gregory A, Rijsdijk F, Eley T. Reciprocal links between anxiety sensitivity and obsessive-compulsive symptoms in youth: a longitudinal twin study. J Child Psychol Psychiatry 2020; 61:979-987. [PMID: 31950513 PMCID: PMC7497024 DOI: 10.1111/jcpp.13183] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/27/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Anxiety sensitivity, the tendency to fear the symptoms of anxiety, is a key risk factor for the development anxiety disorders. Although obsessive-compulsive disorder was previously classified as an anxiety disorder, the prospective relationship between anxiety sensitivity and obsessive-compulsive symptoms (OCS) has been largely overlooked. Furthermore, a lack of genetically informative studies means the aetiology of the link between anxiety sensitivity and OCS remains unclear. METHODS Adolescent twins and siblings (N = 1,579) from the G1219 study completed self-report questionnaires two years apart assessing anxiety sensitivity, OCS, anxiety and depression. Linear regression models tested prospective associations between anxiety sensitivity and OCS, with and without adjustment for anxiety and depressive symptoms. A phenotypic cross-lagged model assessed bidirectional influences between anxiety sensitivity and OCS over time, and a genetic version of this model examined the aetiology of these associations. RESULTS Anxiety sensitivity was prospectively associated with changes in OCS, even after controlling for comorbid anxiety and depressive symptoms. The longitudinal relationship between anxiety sensitivity and OCS was bidirectional, and these associations were predominantly accounted for by nonshared environmental influences. CONCLUSIONS Our findings are consistent with the notion that anxiety sensitivity is a risk factor for OCS during adolescence, but also suggest that experiencing OCS confers risk for heightened anxiety sensitivity. The reciprocal links between OCS and anxiety sensitivity over time are likely to be largely mediated by nonshared environmental experiences, as opposed to common genes. Our findings raise the possibility that interventions aimed at ameliorating anxiety sensitivity could reduce risk for OCS, and vice versa.
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Affiliation(s)
- G. Krebs
- MRC Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- National and Specialist OCD, BDD and Related Disorders Clinic for Young PeopleSouth London and Maudsley NHS Foundation TrustLondonUK
| | - L.J. Hannigan
- Nic Waals InstituteLovisenberg Diaconal HospitalOsloNorway
| | - A.M. Gregory
- Department of PsychologyGoldsmiths, University of LondonLondonUK
| | - F.V. Rijsdijk
- MRC Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - T.C. Eley
- MRC Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
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16
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Hernandez Rodriguez J, Gregus SJ, Craig JT, Pastrana FA, Cavell TA. Anxiety Sensitivity and Children's Risk for Both Internalizing Problems and Peer Victimization Experiences. Child Psychiatry Hum Dev 2020; 51:174-186. [PMID: 31401756 DOI: 10.1007/s10578-019-00919-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
In this study, we examined the degree to which children's level of anxiety sensitivity (AS) was a precursor to both internalizing problems and peer victimization experiences. Participants were 581 fourth-grade children (M age = 9.31; 51.8% girls; 42.3% Hispanic/Latinx) and their teachers. Measures of AS, internalizing problems, and peer victimization were collected across a single academic year (Fall, Spring). Structural equation modeling and logistic regression analyses indicated AS predicted future internalizing symptoms as well as self- and teacher-reports of peer victimization. Also, children with heightened AS were 2.70 times more likely to reach elevated levels of self-rated peer victimization and 11.53 times more likely to have clinically elevated internalizing problems. This is the first study to examine prospectively the link between AS and children's peer victimization experiences. We discuss implications of the findings for developing preventative interventions for children at risk for peer victimization and internalizing difficulties.
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Affiliation(s)
| | - Samantha J Gregus
- Department of Psychology, Wichita State University, Wichita, KS, USA
| | - James T Craig
- Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine, Lebanon, NH, USA
| | - Freddie A Pastrana
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Timothy A Cavell
- Department of Psychological Science, University of Arkansas, Fayetteville, AR, USA
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17
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Madrid-Valero JJ, Ronald A, Shakeshaft N, Schofield K, Malanchini M, Gregory AM. Sleep quality, insomnia, and internalizing difficulties in adolescents: insights from a twin study. Sleep 2019; 43:5573767. [DOI: 10.1093/sleep/zsz229] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 07/11/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study Objectives
There is a well-established association between poor sleep quality and internalizing traits. This relationship has previously been studied using a twin design. However, when it comes to adolescence, there is a paucity of twin studies that have investigated this relationship, despite the importance of this developmental stage for both the development of poor sleep quality and internalizing symptoms. Additionally, anxiety sensitivity, which is commonly associated with poor sleep quality, has not been studied in this context. Our objective was to estimate genetic and environmental influences on the relationships between insomnia, poor sleep quality, and internalizing symptoms in adolescence.
Methods
Insomnia, poor sleep quality, depression, anxiety, and anxiety sensitivity traits were measured in a sample of 5111 twin pairs from the Twins Early Development Study, born between 1994 and 1996 (mean age 16.32 years [SD = 0.68]).
Results
A moderate proportion of the variance for the different variables (.29–.42) was explained by genetic factors. Associations between sleep and internalizing variables were moderate (r = .34–.46) and there was a large genetic overlap between these variables (rA= .51–.73).
Conclusion
This study adds novel information by showing that there are large genetic correlations between sleep disturbances and internalizing symptoms in adolescence.
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Affiliation(s)
- Juan J Madrid-Valero
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, Murcia, Spain
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck University of London, London, UK
| | - Nicholas Shakeshaft
- MRC Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, UK
| | - Kerry Schofield
- MRC Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, UK
| | - Margherita Malanchini
- MRC Social, Genetic, and Developmental Psychiatry Centre, King’s College London, London, UK
- Department of Psychology, Queen Mary University of London, London, UK
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
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18
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Fliek L, Roelofs J, van Breukelen G, Muris P. A Longitudinal Study on the Relations Among Fear-Enhancing Parenting, Cognitive Biases, and Anxiety Symptoms in Non-clinical Children. Child Psychiatry Hum Dev 2019; 50:631-646. [PMID: 30767154 PMCID: PMC6589147 DOI: 10.1007/s10578-019-00868-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
This longitudinal study explored the relations between fear-enhancing parenting behaviors (modeling and threat information transmission) and children's cognitive biases and anxiety symptoms on three subsequent time points over a one-year period. Participants were 216 children aged 7-12 years (114 boys and 102 girls), and their mothers (n = 199) and/or fathers (n = 117). On each time point, children and parents completed the Parental Enhancement of Anxious Cognitions scale, which measures parental modeling and threat information transmission. Furthermore, children filled in a measure of anxiety disorder symptoms. In addition, confirmation bias and interpretation bias were measured by means of a number of computerized tasks. The results yielded support for a circular model in which cognitive biases enhanced anxiety symptoms, which in turn promoted cognitive biases on each of the three time points. However, no evidence was found for longitudinal effects of cognitive biases on anxiety or vice versa. In contrast to what we expected, cognitive biases and anxiety appeared to promote parental modeling and threat information rather than the other way around. These findings extend research on the relations between parenting behaviors, cognitive biases, and childhood anxiety symptoms, and suggest valuable leads for assessment and intervention.
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Affiliation(s)
- Lorraine Fliek
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
| | - Jeffrey Roelofs
- 0000 0001 0481 6099grid.5012.6Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Gerard van Breukelen
- 0000 0001 0481 6099grid.5012.6Department of Methodology & Statistics, Faculty of Psychology and Neuroscience & CAPHRI School for Care and Public Health, Maastricht University, Maastricht, The Netherlands
| | - Peter Muris
- 0000 0001 0481 6099grid.5012.6Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands ,0000 0001 2214 904Xgrid.11956.3aStellenbosch University, Stellenbosch, South Africa
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Shakoor S, McGuire P, Cardno AG, Freeman D, Ronald A. A twin study exploring the association between childhood emotional and behaviour problems and specific psychotic experiences in a community sample of adolescents. J Child Psychol Psychiatry 2018; 59:565-573. [PMID: 29105062 PMCID: PMC5947637 DOI: 10.1111/jcpp.12839] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/09/2017] [Indexed: 12/26/2022]
Abstract
BACKGROUND Childhood emotional and behaviour problems are antecedents for later psychopathology. This study investigated genetic and environmental influences shaping the longitudinal association between childhood emotional and behaviour problems and specific PEs. METHOD In a community-based twin sample, parents reported on emotional and behaviour problems when twins were ages 7 and 12 years. At age 16 years, specific PEs were measured using self-reports and parent reports. Structural equation model-fitting was conducted. RESULTS Childhood emotional and behaviour problems were significantly associated with paranoia, cognitive disorganisation and parent-rated negative symptoms in adolescence (mean r = .15-.38), and to a lesser extent with hallucinations, grandiosity and anhedonia (mean r = .04-.12). Genetic influences on childhood emotional and behaviour problems explained significant proportions of variance in adolescent paranoia (4%), cognitive disorganisation (8%) and parent-rated negative symptoms (3%). Unique environmental influences on childhood emotional and behaviour problems explained ≤1% of variance in PEs. Common environmental influences were only relevant for the relationship between childhood emotional and behaviour problems and parent-rated negative symptoms (explaining 28% of variance) and are partly due to correlated rater effects. CONCLUSIONS Childhood emotional and behaviour problems are significantly, if weakly, associated with adolescent PEs. These associations are driven in part by common genetic influences underlying both emotional and behaviour problems and PEs. However, psychotic experiences in adolescence are largely influenced by genetic and environmental factors that are independent of general childhood emotional and behaviour problems, suggesting they are not merely an extension of childhood emotional and behaviour problems.
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Affiliation(s)
- Sania Shakoor
- School of Law, Social and Behavioural SciencesUniversity of KingstonKingston upon ThamesUK
| | - Philip McGuire
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology NeuroscienceKing's College LondonLondonUK
| | - Alastair G. Cardno
- Academic Unit of Psychiatry and Behavioural SciencesUniversity of LeedsLeedsUK
| | | | - Angelica Ronald
- Centre for Brain and Cognitive DevelopmentDepartment of Psychological SciencesBirkbeck, University of LondonLondonUK
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20
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Martin L, Hemmings SMJ, Kidd M, Seedat S. No gene-by-environment interaction of BDNF Val66Met polymorphism and childhood maltreatment on anxiety sensitivity in a mixed race adolescent sample. Eur J Psychotraumatol 2018; 9:1472987. [PMID: 29805780 PMCID: PMC5965035 DOI: 10.1080/20008198.2018.1472987] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 04/20/2018] [Indexed: 12/22/2022] Open
Abstract
Background: Anxiety disorders in youth are attributable to multiple causal mechanisms, comprising biological vulnerabilities, such as genetics and temperament, and unfavourable environmental influences, such as childhood maltreatment (CM). Objective: A gene-environment (G x E) interaction study was conducted to determine the interactive effect of the BDNF Val66Met polymorphism and CM to increase susceptibility to anxiety sensitivity (AS) in a sample of mixed race adolescents. Method: Participants (n = 308, mean age = 15.8 years) who were all secondary school students and who completed measures for AS and CM were genotyped for the BDNF Val66Met polymorphism. Hierarchical multiple regression analysis was conducted to assess G x E influences on AS. Age and gender were included in the models as covariates as age was significantly associated with AS total score (p < .05), and females had significantly higher AS scores than males (p < .05). Results: A main effect of CM on AS was evident (p < .05), however, no main effect of BDNF genotype on AS was observed (p > .05). A non-significant G x E effect on AS was revealed (p < .05). Conclusions: Our results suggest that CM does not have a moderating role in the relationship between the BDNF Val66Met genotype and the increased risk of anxiety-related phenotypes, such as AS. Given the exploratory nature of this study, findings require replication in larger samples and adjustment for population stratification to further explore the role of BDNF Val66Met and CM on AS in mixed race adolescents.
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Affiliation(s)
- Lindi Martin
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | | | - Martin Kidd
- Department of Statistics and Actuarial Science, Stellenbosch University, Cape Town, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
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21
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Guffanti G, Gameroff MJ, Warner V, Talati A, Glatt CE, Wickramaratne P, Weissman MM. Heritability of major depressive and comorbid anxiety disorders in multi-generational families at high risk for depression. Am J Med Genet B Neuropsychiatr Genet 2016; 171:1072-1079. [PMID: 27452917 DOI: 10.1002/ajmg.b.32477] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 07/08/2016] [Indexed: 11/08/2022]
Abstract
Family studies have shown that MDD is highly transmittable but have not studied its heritability. Twin studies show heritability of about 40% and do not include anxiety disorders. We assessed heritability of MDD and comorbid anxiety disorders in a multigenerational study of family members at high risk for MDD. In addition, we tested the hypothesis that examined clinical subtypes of MDD defined by early and late age of onset would be under relatively stronger genetic control than broadly defined DSM-IV MDD. The first generation with moderate to severe MDD was recruited from an ambulatory psychiatric treatment setting, and their descendants in the second, third, and fourth generation, were interviewed by clinicians up to six times during a 30-year period. Lifetime rates of MDD and anxiety disorders were collected for 545 participants from 65 multigenerational families. The heritability (h2 ) of MDD in this high risk sample was estimated at 67%. Anxiety and sequential comorbidity of anxiety disorders and MDD revealed h2 of 49% and 53%, respectively, and strong positive genetic correlation (rhog = 0.92, P = 7.3 × 10-7 ). Early onset MDD did not appear to be under greater genetic control than broadly defined DSM-IV MDD. Individuals who are direct descendants of subjects ascertained for moderate to severe MDD have strong genetic vulnerability to develop anxiety or MDD. Our findings support family based studies as appropriate and useful design to understand the heritability of common disorders such as MDD. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Guia Guffanti
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Marc J Gameroff
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Virginia Warner
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Ardesheer Talati
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York
| | | | - Priya Wickramaratne
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York.,Mailman School of Public Health, Columbia University, New York, New York
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.,Division of Epidemiology, New York State Psychiatric Institute, New York, New York.,Mailman School of Public Health, Columbia University, New York, New York
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22
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Hemmings SMJ, Martin LI, van der Merwe L, Benecke R, Domschke K, Seedat S. Serotonin transporter variants play a role in anxiety sensitivity in South African adolescents. World J Biol Psychiatry 2016; 17:66-75. [PMID: 26635248 DOI: 10.3109/15622975.2015.1102324] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Anxiety sensitivity (AS) has predictive potential for the development of anxiety disorders. We investigated the role that gene-environment (G × E) interactions, focussing on childhood trauma (CT) and selected SLC6A4 variants, play in modulating levels of AS in a South African adolescent population. METHODS All adolescents (n = 951) completed measures for AS and CT. Six SLC6A4 polymorphisms were genotyped. G × E influences on AS levels were assessed using multiple linear regression models. Relevant confounders were included in all analyses. RESULTS Xhosa (n = 634) and Coloured (n = 317) participants were analysed independently of one another. The 5-HTTLPR-rs25531 L-G haplotype associated with reduced AS among Xhosa adolescents (P = 0.010). In addition, the rs1042173 CC-genotype protected against increased levels of AS in Xhosa participants who had experienced increased levels of CT (P = 0.038). Coloured males homozygous for the S-allele had significantly increased levels of AS compared to Coloured males with at least one L-allele (P = 0.016). CONCLUSIONS This is the first study to be conducted on AS in adolescents from two ethnically diverse populations. Results indicate that the L-G haplotype confers protection against high AS levels in a Xhosa population. Furthermore, increased CT was found to protect against high levels of AS in Xhosa rs1042173 CC-carriers.
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Affiliation(s)
- Sian M J Hemmings
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Lindi I Martin
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Lize van der Merwe
- b Department of Statistics , University of the Western Cape , Bellville , South Africa
| | - Rohan Benecke
- c Department of Biomedical Sciences, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Katharina Domschke
- d Department of Psychiatry , University of Wuerzburg , Wuerzburg , Germany
| | - Soraya Seedat
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
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23
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Waszczuk MA, Coulson AE, Gregory AM, Eley TC. A longitudinal twin and sibling study of the hopelessness theory of depression in adolescence and young adulthood. Psychol Med 2016; 46:1935-1949. [PMID: 27019371 DOI: 10.1017/s0033291716000489] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Maladaptive cognitive biases such as negative attributional style and hopelessness have been implicated in the development and maintenance of depression. According to the hopelessness theory of depression, hopelessness mediates the association between attributional style and depression. The aetiological processes underpinning this influential theory remain unknown. The current study investigated genetic and environmental influences on hopelessness and its concurrent and longitudinal associations with attributional style and depression across adolescence and emerging adulthood. Furthermore, given high co-morbidity between depression and anxiety, the study investigated whether these maladaptive cognitions constitute transdiagnostic cognitive content common to both internalizing symptoms. METHOD A total of 2619 twins/siblings reported attributional style (mean age 15 and 17 years), hopelessness (mean age 17 years), and depression and anxiety symptoms (mean age 17 and 20 years). RESULTS Partial correlations revealed that attributional style and hopelessness were uniquely associated with depression but not anxiety symptoms. Hopelessness partially mediated the relationship between attributional style and depression. Hopelessness was moderately heritable (A = 0.37, 95% confidence interval 0.28-0.47), with remaining variance accounted for by non-shared environmental influences. Independent pathway models indicated that a set of common genetic influences largely accounted for the association between attributional style, hopelessness and depression symptoms, both concurrently and across development. CONCLUSIONS The results provide novel evidence that associations between attributional style, hopelessness and depression symptoms are largely due to shared genetic liability, suggesting developmentally stable biological pathways underpinning the hopelessness theory of depression. Both attributional style and hopelessness constituted unique cognitive content in depression. The results inform molecular genetics research and cognitive treatment approaches.
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Affiliation(s)
- M A Waszczuk
- King's College London,MRC Social, Genetic and Developmental Psychiatry Centre,Institute of Psychiatry, Psychology and Neuroscience,London,UK
| | - A E Coulson
- King's College London,MRC Social, Genetic and Developmental Psychiatry Centre,Institute of Psychiatry, Psychology and Neuroscience,London,UK
| | - A M Gregory
- Department of Psychology,Goldsmiths,University of London,London,UK
| | - T C Eley
- King's College London,MRC Social, Genetic and Developmental Psychiatry Centre,Institute of Psychiatry, Psychology and Neuroscience,London,UK
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24
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Attentional Control Theory in Childhood: Enhanced Attentional Capture by Non-Emotional and Emotional Distractors in Anxiety and Depression. PLoS One 2015; 10:e0141535. [PMID: 26599268 PMCID: PMC4658135 DOI: 10.1371/journal.pone.0141535] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 10/10/2015] [Indexed: 11/19/2022] Open
Abstract
Attentional control theory (ACT) proposes that anxiety is associated with executive functioning deficits. The theory has been widely investigated in adults. The current study tested whether symptoms of childhood anxiety and depression were associated with experimentally measured attentional control in the context of non-emotional and emotional stimuli. Sixty-one children (mean age = 9.23 years, range = 8.39–10.41) reported their trait anxiety and depression symptoms and completed three visual search tasks. The tasks used a variant of an irrelevant singleton paradigm and measured attentional capture by task-irrelevant non-emotional (color) and emotional (facial expressions) distractors. Significant attentional capture by both non-emotional and emotional distractors was observed, and was significantly correlated with trait anxiety and symptoms of depression. The strength of relationship between attentional capture and the symptoms did not differ significantly for non-emotional and emotional distractors. The results suggest that symptoms of childhood anxiety and depression are associated with poorer attentional control both in the presence of emotional and non-emotional stimuli, supporting ACT in younger populations. This attentional deficit in the context of non-emotional information might be as central to childhood internalizing symptoms as attentional biases often observed on tasks investigating processing of emotional stimuli.
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25
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Longitudinal investigation of anxiety sensitivity growth trajectories and relations with anxiety and depression symptoms in adolescence. Dev Psychopathol 2015; 28:459-69. [DOI: 10.1017/s0954579415000590] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractAnxiety sensitivity (AS), the belief that anxious arousal is harmful, is a malleable risk factor that has been implicated in anxiety and depression symptoms in adolescents. Although there is some evidence that adolescents possess distinct developmental trajectories, few studies have explored this topic. This study examined the developmental trajectory of AS in 248 adolescents (M age = 11.0 years, SD = 0.82; 56% male) across 6 years, beginning when children were age 11. This study also examined the influence of AS trajectories on anxiety and depression at age 16. Finally, this study examined the utility of AS classes in identifying anxiety and depression growth. Three AS classes were found, described by normative-stable, high-stable, and high-unstable trajectories. Adolescents in the high-stable and the high-unstable AS classes had higher levels of anxiety and depression at age 16 than did adolescents in the normative-stable AS class. In addition, the anxiety and depression trajectories fit by AS class mirrored the AS class trajectories. These findings suggest three AS trajectories can be identified in adolescents. These trajectories are discussed in relation to a developmental perspective of AS.
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26
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Michelini G, Eley TC, Gregory AM, McAdams TA. Aetiological overlap between anxiety and attention deficit hyperactivity symptom dimensions in adolescence. J Child Psychol Psychiatry 2015; 56:423-31. [PMID: 25195626 PMCID: PMC6607691 DOI: 10.1111/jcpp.12318] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/17/2014] [Indexed: 12/16/2022]
Abstract
BACKGROUND Anxiety and attention-deficit/hyperactivity (ADH) problems are common in adolescence, often co-occur, and are characterised by high heterogeneity in their phenotypic expressions. Although it is known that anxiety and ADH problems correlate, the relationships between subtypes of anxiety and ADH problems have been scarcely investigated. METHODS Using a large population sample of adolescent twins and siblings we explored the phenotypic and aetiological association between anxiety subtypes (panic/agoraphobia, separation anxiety, social anxiety, physical injury fears, obsessive-compulsive symptoms and generalised anxiety) and the two ADH dimensions (attention problems and hyperactivity/impulsivity). Both phenotypes were assessed using self-report questionnaires. RESULTS The association between ADH problems and anxiety could be entirely attributed to attention problems, not hyperactivity/impulsivity. Most of the correlations between anxiety subtypes and attention problems showed an approximately equal role of genetic and nonshared environmental factors. CONCLUSIONS The high heterogeneity within anxiety and ADH problems should be taken into account in order to better understand comorbidity between them.
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Affiliation(s)
- Giorgia Michelini
- MRC SocialGenetic and Developmental Psychiatry CentreInstitute of PsychiatryKing's College LondonLondonUK
| | - Thalia C. Eley
- MRC SocialGenetic and Developmental Psychiatry CentreInstitute of PsychiatryKing's College LondonLondonUK
| | | | - Tom A. McAdams
- MRC SocialGenetic and Developmental Psychiatry CentreInstitute of PsychiatryKing's College LondonLondonUK
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27
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Waszczuk MA, Zavos HMS, Antonova E, Haworth CM, Plomin R, Eley TC. A multivariate twin study of trait mindfulness, depressive symptoms, and anxiety sensitivity. Depress Anxiety 2015; 32:254-61. [PMID: 25639257 PMCID: PMC4413043 DOI: 10.1002/da.22326] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 08/27/2014] [Accepted: 09/29/2014] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Mindfulness-based therapies have been shown to be effective in treating depression and reducing cognitive biases. Anxiety sensitivity is one cognitive bias that may play a role in the association between mindfulness and depressive symptoms. It refers to an enhanced sensitivity toward symptoms of anxiety, with a belief that these are harmful. Currently, little is known about the mechanisms underpinning the association between mindfulness, depression, and anxiety sensitivity. The aim of this study was to examine the role of genetic and environmental factors in trait mindfulness, and its genetic and environmental overlap with depressive symptoms and anxiety sensitivity. METHODS Over 2,100 16-year-old twins from a population-based study rated their mindfulness, depressive symptoms, and anxiety sensitivity. RESULTS Twin modeling analyses revealed that mindfulness is 32% heritable and 66% due to nonshared environmental factors, with no significant influence of shared environment. Genetic influences explained over half of the moderate phenotypic associations between low mindfulness, depressive symptoms, and anxiety sensitivity. About two-thirds of genetic influences and almost all nonshared environmental influences on mindfulness were independent of depression and anxiety sensitivity. CONCLUSIONS This is the first study to show that both genes and environment play an important role in the etiology of mindfulness in adolescence. Future research should identify the specific environmental factors that influence trait mindfulness during development to inform targeted treatment and resilience interventions. Shared genetic liability underpinning the co-occurrence of low mindfulness, depression, and anxiety sensitivity suggests that the biological pathways shared between these traits should also be examined.
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Affiliation(s)
- Monika A Waszczuk
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondon, UK
| | - Helena M S Zavos
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondon, UK
| | - Elena Antonova
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondon, UK
| | | | - Robert Plomin
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondon, UK
| | - Thalia C Eley
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondon, UK,*Correspondence to: Thalia Eley, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, PO Box 80, 16 De Crespigny Park, London SE5 8AF, UK. E-mail:
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Brown HM, Waszczuk MA, Zavos HMS, Trzaskowski M, Gregory AM, Eley TC. Cognitive content specificity in anxiety and depressive disorder symptoms: a twin study of cross-sectional associations with anxiety sensitivity dimensions across development. Psychol Med 2014; 44:3469-3480. [PMID: 25066519 DOI: 10.1017/s0033291714000828] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The classification of anxiety and depressive disorders has long been debated and has important clinical implications. The present study combined a genetically sensitive design and multiple time points to investigate cognitive content specificity in anxiety and depressive disorder symptoms across anxiety sensitivity dimensions, a cognitive distortion implicated in both disorders. METHOD Phenotypic and genetic correlations between anxiety sensitivity dimensions, anxiety and depressive disorder symptoms were examined at five waves of data collection within childhood, adolescence and early adulthood in two representative twin studies (n pairs = 300 and 1372). RESULTS The physical concerns dimension of anxiety sensitivity (fear of bodily symptoms) was significantly associated with anxiety but not depression at all waves. Genetic influences on physical concerns overlapped substantially more with anxiety than depression. Conversely, mental concerns (worry regarding cognitive control) were phenotypically more strongly associated with depression than anxiety. Social concerns (fear of publicly observable symptoms of anxiety) were associated with both anxiety and depression in adolescence. Genetic influences on mental and social concerns were shared to a similar extent with both anxiety and depression. CONCLUSIONS Phenotypic patterns of cognitive specificity and broader genetic associations between anxiety sensitivity dimensions, anxiety and depressive disorder symptoms were similar at all waves. Both disorder-specific and shared cognitive concerns were identified, suggesting it is appropriate to classify anxiety and depression as distinct but related disorders and confirming the clinical perspective that cognitive therapy is most likely to benefit by targeting cognitive concerns relating specifically to the individual's presenting symptoms across development.
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Affiliation(s)
- H M Brown
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry,King's College London,UK
| | - M A Waszczuk
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry,King's College London,UK
| | - H M S Zavos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry,King's College London,UK
| | - M Trzaskowski
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry,King's College London,UK
| | - A M Gregory
- Department of Psychology, Goldsmiths,University of London,UK
| | - T C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry,King's College London,UK
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Interpersonal cognitive biases as genetic markers for pediatric depressive symptoms: twin data from the emotions, cognitions, heredity and outcome (ECHO) study. Dev Psychopathol 2014; 26:1267-76. [PMID: 25422960 DOI: 10.1017/s0954579414001011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Childhood depressive symptoms may arise from genetic and environmental risks, which act to bias the ways in which children process emotional information. Previous studies show that several "cognitive biases" are heritable and share genetic and environmental risks with depressive symptoms. Past research suggests that many cognitive biases only reflect genetic risks for depressive symptoms from adolescence. The present study sought to identify (a) when interpersonal cognitions mature as risk factors for depressive symptoms by examining whether these factors are stable and predict symptoms across time in childhood, and (b) the extent to which interpersonal cognitions reflect inherited/environmental risks on children's depressive symptoms. Results showed that there was some stability for interpersonal cognitive biases from age 8 to 10 years (rs = .32-.43). Only the absence of positive self/other perceptions, and negative peer and mother expectations at age 8 predicted depressive symptoms at age 10 (after controlling for depressive symptoms at age 8). The absence of positive self/other perceptions shared genetic influences with depressive symptoms within and across time. Across middle to late childhood, interpersonal cognitions begin to operate as vulnerability-trait factors for depressive symptoms, gradually reflecting distal genetic risks on symptoms.
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Bolhuis K, McAdams TA, Monzani B, Gregory AM, Mataix-Cols D, Stringaris A, Eley TC. Aetiological overlap between obsessive-compulsive and depressive symptoms: a longitudinal twin study in adolescents and adults. Psychol Med 2014; 44:1439-49. [PMID: 23920118 PMCID: PMC3959155 DOI: 10.1017/s0033291713001591] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Revised: 05/29/2013] [Accepted: 06/01/2013] [Indexed: 01/22/2023]
Abstract
BACKGROUND Depression is commonly co-morbid with obsessive-compulsive disorder (OCD). However, it is unknown whether depression is a functional consequence of OCD or whether these disorders share a common genetic aetiology. This longitudinal twin study compared these two hypotheses. METHOD Data were drawn from a longitudinal sample of adolescent twins and siblings (n = 2651; Genesis 12-19 study) and from a cross-sectional sample of adult twins (n = 4920). The longitudinal phenotypic associations between OCD symptoms (OCS) and depressive symptoms were examined using a cross-lag model. Multivariate twin analyses were performed to explore the genetic and environmental contributions to the cross-sectional and longitudinal relationship between OCS and depressive symptoms. RESULTS In the longitudinal phenotypic analyses, OCS at time 1 (wave 2 of the Genesis 12-19 study) predicted depressive symptoms at time 2 (wave 3 of the Genesis 12-19 study) to a similar extent to which depressive symptoms at time 1 predicted OCS at time 2. Cross-sectional twin analyses in both samples indicated that common genetic factors explained 52-65% of the phenotypic correlation between OCS and depressive symptoms. The proportion of the phenotypic correlation due to common non-shared environmental factors was considerably smaller (35%). In the adolescent sample, the longitudinal association between OCS at time 1 and subsequent depressive symptoms was accounted for by the genetic association between OCS and depressive symptoms at time 1. There was no significant environmental association between OCS and later depressive symptoms. CONCLUSIONS The present findings show that OCS and depressive symptoms co-occur primarily due to shared genetic factors and suggest that genetic, rather than environmental, effects account for the longitudinal relationship between OCS and depressive symptoms.
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Affiliation(s)
- K. Bolhuis
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, London, UK
| | - T. A. McAdams
- Social, Genetic and Developmental Psychiatry Centre, King's College London, Institute of Psychiatry, London, UK
| | - B. Monzani
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, Institute of Psychiatry, London, UK
| | - A. M. Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - D. Mataix-Cols
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, Institute of Psychiatry, London, UK
| | - A. Stringaris
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, London, UK
| | - T. C. Eley
- Social, Genetic and Developmental Psychiatry Centre, King's College London, Institute of Psychiatry, London, UK
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Chen J, Li X. Genetic and environmental influences on adolescent rumination and its association with depressive symptoms. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2014; 41:1289-98. [PMID: 23690281 DOI: 10.1007/s10802-013-9757-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Rumination is an important cognitive vulnerability for adolescent and adult depression. However, little is known about the aetiological origins of rumination, as well as its association with depression. Adolescent rumination (self-report) and depressive symptoms (self- and parent-report) were assessed in 674 pairs of same-gender Chinese adolescent twins (11-17 years of age). Females accounted for 53.7 % of the sample. There were significant correlations between self-reported rumination and self-reported depression (r = 0.41), as well as parent-reported adolescent depression (r = 0.22). Genetic influences were significant and modest on all three measures, ranging from 24 % to 42 %. The three measures were also significantly influenced by shared environment, ranging from 20 % to 28 %, and non-shared environmental factors, ranging from 30 % to 56 %. Moreover, the genetic correlations between rumination and depression were significant (within-rater: r(g) = 0.99; cross-rater: r(g) = 0.59) and largely accounted for the phenotypic correlations (within-rater: 68 %; cross-rater: 77 %), while non-shared environmental correlations were also significant (within-rater: r(e) = 0.26; cross-rater: r(e) = 0.12) and accounted for the remainder of the phenotypic correlations (within-rater: 32 %; cross-rater: 23 %). The shared environmental correlations were non-significant. No significant gender and age differences were found in aetiological models. These findings suggest that rumination may be an endophenotype reflecting genetic risk for depression.
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Affiliation(s)
- Jie Chen
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
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Dynamic temporal relations between anxious and depressive symptoms across adolescence. Dev Psychopathol 2014; 25:683-97. [PMID: 23880385 DOI: 10.1017/s0954579413000102] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Symptoms of anxiety and depression are prevalent among adolescents and associated with impairment in multiple domains of functioning. Moreover, anxiety and depression frequently co-occur, with estimated comorbidity rates as high as 75%. Whereas previous research has shown that anxiety symptoms predict increased depressive symptoms over time, the relation between depressive symptoms and later anxiety symptoms has been inconsistent. The present study examined dynamic relations between anxiety and depressive symptoms across adolescence and explored whether these longitudinal relations were moderated by maternal history of anxiety, family relationship quality, or children's attributional style. Participants included 240 children (M age = 11.86 years; 53.9% female) and their mothers, who were assessed annually for 6 years. Children reported on their depressive symptoms and mothers reported on their child's anxiety symptoms. Dynamic latent change score models indicated that anxiety symptoms predicted subsequent elevations in depressive symptoms over time. Depressive symptoms predicted subsequent elevations in anxiety symptoms among children who had mothers with a history of anxiety, reported low family relationship quality, or had high levels of negative attributions. Thus, whereas anxiety symptoms were a robust predictor of later depressive symptoms during adolescence, contextual and individual factors may be important to consider when examining relations between depressive symptoms and subsequent change in anxiety symptoms.
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Genetic and environmental etiologies of adolescent dysfunctional attitudes: a twin study. Twin Res Hum Genet 2014; 17:16-22. [PMID: 24423466 DOI: 10.1017/thg.2013.85] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Despite the importance of dysfunctional attitudes in the development and maintenance of depression, little is known about the etiological origin of dysfunctional attitudes. The Dysfunctional Attitudes Scale for Children was administered to 674 adolescent twins derived from the Beijing Twin Study (BeTwiSt). Four hundred and thirty-nine monozygotic and 235 same-gender dizygotic twin pairs were included. Approximately 54% were females. The age range of the twins was 11-17 years. Model-fitting analyses were conducted. Biometric genetic model-fitting estimates indicated that additive genetic factors accounted for 31% (95% CI: 11%, 45%) of variance in adolescent dysfunctional attitude. The influence of shared environmental factors was small and negligible (9% [95% CI: 0%, 27%]). Non-shared environmental factors explained 60% (95% CI: 55%, 66%) of variance. Equating the estimate parameters across gender or age groups resulted in a non-significant difference of model fit, but there were trends suggesting higher heritability in females and older adolescents. Our results provide evidence for moderate heritability of dysfunctional attitudes in adolescents. Dysfunctional attitudes can be used as an endophenotype to identify risk genes for depression.
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Vance A, Ferrin M, Winther J, Gomez R. Examination of spatial working memory performance in children and adolescents with attention deficit hyperactivity disorder, combined type (ADHD-CT) and anxiety. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2013; 41:891-900. [PMID: 23378043 DOI: 10.1007/s10802-013-9721-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Spatial working memory (SWM) is known to be impaired in children with ADHD-CT, whether anxiety is present or not. Yet, it remains unclear whether anxiety disorders add to the SWM impairments evident in ADHD-CT and whether these findings extend into adolescents with ADHD-CT and anxiety. Further, it is not yet known whether children and adolescents with carefully defined anxiety disorders alone, demonstrate SWM deficits. This study explored the association of SWM and its strategy and spatial span components in carefully defined children and adolescents (age 6-16 years) with ADHD-CT alone (N = 163; 14 % female), ADHD-CT and anxiety (N = 243; 23 % female), anxiety disorders alone (N = 69; 25 % female) compared to age- and gender-matched healthy control participants (N = 116; 19 % female). The relationship between SWM and its strategy and span components and core ADHD-CT symptoms and anxiety symptoms were also examined. There was no evidence of an additive effect of ADHD and anxiety on SWM, strategy and spatial span deficits. But, anxiety disorders alone were associated with impaired SWM and span performance compared to healthy control participants. In contrast, strategy did not differ between children and adolescents with anxiety disorders alone and healthy control participants, suggesting that with anxiety span is the most affected component. Further, these findings were age-independent. This study concurs with and extends current influential models about the cognitive effects of anxiety on performance in the setting of ADHD-CT. Clinical implications and future research directions are discussed.
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Affiliation(s)
- Alasdair Vance
- Academic Child Psychiatry Unit, Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia.
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Waszczuk M, Zavos H, Eley T. Genetic and environmental influences on relationship between anxiety sensitivity and anxiety subscales in children. J Anxiety Disord 2013; 27:475-84. [PMID: 23872507 PMCID: PMC3878378 DOI: 10.1016/j.janxdis.2013.05.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2012] [Revised: 05/28/2013] [Accepted: 05/28/2013] [Indexed: 10/26/2022]
Abstract
Anxiety sensitivity, a belief that symptoms of anxiety are harmful, has been proposed to influence development of panic disorder. Recent research suggests it may be a vulnerability factor for many anxiety subtypes. Moderate genetic influences have been implicated for both anxiety sensitivity and anxiety, however, little is known about the aetiology of the relationship between these traits in children. Self-reports of anxiety sensitivity and anxiety symptoms were collected from approximately 300 twin pairs at two time points. Partial correlations indicated that anxiety sensitivity at age 8 was broadly associated with most anxiety subtypes at age 10 (r=0.11-0.17, p<0.05). The associations were largely unidirectional, underpinned by stable genetic influences. Non-shared environment had unique influences on variables. Phenotypic results showed that anxiety sensitivity is a broad predictor of anxiety symptoms in childhood. Genetic results suggest that childhood is a developmental period characterised by genetic stability and time-specific environmental influences on anxiety-related traits.
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Affiliation(s)
- M.A. Waszczuk
- Corresponding author at: King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, De Crespigny Park, London, SE5 8AF, United Kingdom. Tel.: +44 020 7848 0039.
| | - H.M.S. Zavos
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, United Kingdom
| | - T.C. Eley
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, United Kingdom
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Brown HM, McAdams TA, Lester KJ, Goodman R, Clark DM, Eley TC. Attentional threat avoidance and familial risk are independently associated with childhood anxiety disorders. J Child Psychol Psychiatry 2013; 54:678-85. [PMID: 23176633 DOI: 10.1111/jcpp.12024] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Twin studies in children reveal that familial aggregation of anxiety disorders is due to both genetic and environmental factors. Cognitive biases for threat information are considered a robust characteristic of childhood anxiety. However, little is known regarding the underlying aetiology of such biases and their role in anxiety disorders. METHOD A face version of the dot-probe task measuring attentional biases for negative (anger, fear, sad, disgust) and positive (happy) facial expressions was completed by 600, 8-year-old twins; the largest study of its kind. Twin correlations for attentional bias scores were compared to estimate genetic and environmental effects. Parent-report diagnostic interviews identified children with an anxiety disorder. Indices of inferred genetic and familial risk for anxiety disorders were created for each child. Data were analysed using a series of logistic regressions. RESULTS Anxious children showed greater attentional avoidance of negative faces than nonanxious children; t (548) = 2.55, p < .05. Attentional avoidance was not under genetic or shared environmental influence. Risk for anxiety disorders was predicted by familial factors. Both attentional avoidance and inferred familial risk were significant but independent predictors of anxiety disorders (ORs = .65 and 3.64, respectively). CONCLUSIONS Anxiety-related attentional biases and familial risk play important but independent roles in childhood anxiety disorders. If replicated, these findings indicate that links between genetic risk and anxiety disorders lie outside the domain of attentional processes.
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Affiliation(s)
- Hannah M Brown
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK.
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Pearson RM, Fernyhough C, Bentall R, Evans J, Heron J, Joinson C, Stein AL, Lewis G. Association between maternal depressogenic cognitive style during pregnancy and offspring cognitive style 18 years later. Am J Psychiatry 2013; 170:434-41. [PMID: 23318526 PMCID: PMC3640292 DOI: 10.1176/appi.ajp.2012.12050673] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Understanding the origins of negative cognitive style could provide a means to prevent adult depression. Cognitive style is an important target for intervention because although it is not possible to remove the stress and adversities in people's lives, it may be possible to modify interpretation of such adversities through cognitive style. Children may develop a negative cognitive style through modeling the style of their mothers. However, findings have been inconsistent on the association. The authors tested the hypothesis that there is an independent association between maternal and offspring depressogenic cognitive style. METHOD Data from over 4,000 mothers and children from the Avon Longitudinal Study of Parents and Children cohort study in the United Kingdom were used to investigate the association between maternal depressogenic cognitive style before the offspring's birth and the offspring's depressogenic cognitive style at age 18. RESULTS A positive association was observed between maternal and offspring cognitive styles: a one-standard-deviation increase in maternal depressogenic cognitive style score during pregnancy was significantly associated with a mean increase of 0.1 standard deviations in offspring depressogenic cognitive style score at age 18. This effect remained after adjusting for maternal and offspring depression and explained 21% of the association between maternal and offspring depression. CONCLUSIONS Although the mechanisms remain to be elucidated, the findings are consistent with the idea that a mother's cognitive style (irrespective of her depression status) influences that of her child. This suggests that interventions to improve a mother's cognitive style could help prevent her offspring from developing depression during adulthood.
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McAdams TA, Gregory AM, Eley TC. Genes of experience: explaining the heritability of putative environmental variables through their association with behavioural and emotional traits. Behav Genet 2013; 43:314-28. [PMID: 23519636 PMCID: PMC3690178 DOI: 10.1007/s10519-013-9591-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Accepted: 03/08/2013] [Indexed: 12/02/2022]
Abstract
An increasing body of evidence shows that many ‘environmental’ measures are heritable, indicating genetic involvement in environmental exposure (or gene–environment correlation). In the present study we attempt to clarify why three such ‘environmental’ measures (maternal negativity, paternal negativity and negative life events) are consistently found to be heritable. Through multivariate genetic analysis of a sample of adolescent twins from the UK we show that the heritability of these putative environmental measures can be explained via their association with five behavioural phenotypes: oppositionality, delinquency, physical aggression, depression and anxiety. This is consistent with the notion that being genetically susceptible to certain behavioural difficulties could lead to exposure to certain life events, and this may account for the reported heritability of ‘environmental’ measures. Results are discussed in the context of possible active, evocative and passive gene–environment correlations.
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Affiliation(s)
- Tom A McAdams
- MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, P.O. Box 80, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.
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The Genesis 12–19 (G1219) Study: A Twin and Sibling Study of Gene–Environment Interplay and Adolescent Development in the UK. Twin Res Hum Genet 2012; 16:134-43. [DOI: 10.1017/thg.2012.83] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The Genesis 12–19 (G1219) Study is an ongoing longitudinal study of a sample of UK twin pairs, non-twin sibling pairs, and their parents. G1219 was initially designed to examine the role of gene–environment interplay in adolescent depression. However, since then data have continued to be collected from both parents and their offspring into young adulthood. This has allowed for longitudinal analyses of depression and has enabled researchers to investigate multiple phenotypes and to ask questions about intermediate mechanisms. The study has primarily focused on emotional development, particularly depression and anxiety, which have been assessed at multiple levels of analysis (symptoms, cognitions, and relevant environmental experiences). G1219 has also included assessment of a broader range of psychological phenotypes ranging from antisocial behaviors and substance use to sleep difficulties, in addition to multiple aspects of the environment. DNA has also been collected. The first wave of data collection began in the year 1999 and the fifth wave of data collection will be complete before the end of 2012. In this article, we describe the sample, data collection, and measures used. We also summarize some of the key findings to date.
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Wiley RE, Berman SL. The relationships among caregiver and adolescent identity status, identity distress and psychological adjustment. J Adolesc 2012; 35:1203-13. [DOI: 10.1016/j.adolescence.2012.04.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2011] [Revised: 03/27/2012] [Accepted: 04/04/2012] [Indexed: 10/28/2022]
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Phenotypic and genetic structure of anxiety sensitivity in adolescence and early adulthood. J Anxiety Disord 2012; 26:680-8. [PMID: 22721752 DOI: 10.1016/j.janxdis.2012.05.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2011] [Revised: 04/16/2012] [Accepted: 05/03/2012] [Indexed: 11/22/2022]
Abstract
Anxiety sensitivity is a risk factor for emotional disorders. The structure of anxiety sensitivity was examined using phenotypic and genetic analyses. Self-reported anxiety sensitivity was measured at three time points from adolescence into young adulthood by 2651 individuals from the G1219 twin study. Confirmatory factor analyses revealed comparable statistical support for anxiety sensitivity models consisting of three or four dimensions across all time points. The three-factor model depicting Physical, Social and Mental anxiety-related concerns was favoured due to greater interpretability and parsimony. Multivariate quantitative genetic analyses supported a hierarchical structure with general genetic (.09-.61) and non-shared environmental (.39-.72) influences acting via a higher-order factor as well as dimension-specific genetic (.09-.21) and non-shared environmental (.23-.68) influences. The findings provide further evidence for a hierarchical structure underlying different dimensions of anxiety sensitivity.
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Menne-Lothmann C, Jacobs N, Derom C, Thiery E, van Os J, Wichers M. Genetic and Environmental Causes of Individual Differences in Daily Life Positive Affect and Reward Experience and Its Overlap with Stress-Sensitivity. Behav Genet 2012; 42:778-86. [PMID: 22976548 DOI: 10.1007/s10519-012-9553-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2011] [Accepted: 07/12/2012] [Indexed: 12/14/2022]
Affiliation(s)
- Claudia Menne-Lothmann
- Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Vijverdal, Postbus 616, 6200 MD, Maastricht, The Netherlands.
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Lau JY, Belli SD, Gregory AM, Napolitano M, Eley TC. The role of children’s negative attributions on depressive symptoms: an inherited characteristic or a product of the early environment? Dev Sci 2012; 15:569-78. [DOI: 10.1111/j.1467-7687.2012.01152.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zavos HMS, Wong CCY, Barclay NL, Keers R, Mill J, Rijsdijk FV, Gregory AM, Eley TC. Anxiety sensitivity in adolescence and young adulthood: the role of stressful life events, 5HTTLPR and their interaction. Depress Anxiety 2012; 29:400-8. [PMID: 22447535 DOI: 10.1002/da.21921] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Revised: 11/15/2011] [Accepted: 12/08/2011] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Cognitive biases have long been hypothesized to influence the development and maintenance of symptoms of internalizing problems. Anxiety sensitivity represents one such bias and refers to sensitivity to the physical and emotional symptoms of anxiety and the belief that these are harmful. Twin studies indicate a role for both environmental and genetic influences on anxiety sensitivity. However, little work has been done specifying environments or genes involved in this phenotype. In light of this, we looked at the association between stressful life events, the serotonin transporter gene polymorphism (5HTTLPR), and anxiety sensitivity in a longitudinal sample of adolescents. METHODS Stressful life events and anxiety sensitivity were measured in over 1,500 individuals at three time points (mean ages 15, 17, and 20 years). 5HTTLPR was genotyped in 1,109 participants. RESULTS There was consistent evidence for an association between stressful life events and both anxiety sensitivity and change in anxiety sensitivity over time. Although the effect of independent stressful life events was relatively short lived, dependent stressful life events were associated with anxiety sensitivity over time. There was no evidence for a main effect of 5HTTLPR on anxiety sensitivity. 5HTTLPR genotype did not moderate the effect of stressful life events on anxiety sensitivity. CONCLUSIONS The current study extends previous work by showing that stressful life events, independent of the individual, explained change in cognitions associated with anxiety and depression. This effect does not, however, appear to be moderated by genotype.
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A Longitudinal, Genetically Informative, Study of Associations Between Anxiety Sensitivity, Anxiety and Depression. Behav Genet 2012; 42:592-602. [DOI: 10.1007/s10519-012-9535-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Accepted: 02/28/2012] [Indexed: 10/28/2022]
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Stringaris A, Zavos H, Leibenluft E, Maughan B, Eley T. Adolescent irritability: phenotypic associations and genetic links with depressed mood. Am J Psychiatry 2012; 169:47-54. [PMID: 22193524 PMCID: PMC3660701 DOI: 10.1176/appi.ajp.2011.10101549] [Citation(s) in RCA: 186] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Irritability has been proposed to underlie the developmental link between oppositional problems and depression. Little is known, however, about the genetic and environmental influences on irritability and its overlap with depression. Drawing on the notion of "generalist genes" (genes of general effect that underlie phenotypic overlap between disorders), the authors test the hypothesis that the association between irritability and depression is accounted for by genetic factors. METHOD Data from the G1219 study, a U.K. twin/sibling sample (N=2,651), were used in a cross-sectional and longitudinal design. The irritable and headstrong/hurtful dimensions of oppositional behavior were derived using factor analysis. Regression was used to estimate the association between depression and delinquency. Multivariate genetic analyses were used to estimate the genetic overlaps between the two components of oppositionality (irritability and headstrong/hurtful behaviors) and depression and delinquency. RESULTS Irritability showed a significantly stronger phenotypic relationship with depression than with delinquency, whereas headstrong/hurtful behaviors were more strongly related to delinquency than to depression. In multivariate genetic analyses, the genetic correlation between irritability and depression (r(A)=0.70, 95% CI=0.59-0.82) was significantly higher than that between headstrong/hurtful behaviors and depression (r(A)=0.46, 95% CI=0.36-0.57); [corrected] conversely, the genetic correlation between headstrong/hurtful behaviors and delinquency (r(A)=0.80, 95% CI=0.72-0.86) was significantly higher than that between irritability and delinquency (r(A)=0.57, 95% CI=0.45-0.69). [corrected]. CONCLUSIONS These findings are consistent with the theory that genes with general effects underlie the relationship between irritability and depression.
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Affiliation(s)
- Argyris Stringaris
- Department of Child and Adolescent Psychiatry and the Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London.
| | - Helena Zavos
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, Institute of Psychiatry, London, United Kingdom
| | - Ellen Leibenluft
- Section of Bipolar Spectrum Disorders, Mood and Anxiety Programme National Institute of Mental Health, Bethesda, MD, USA
| | - Barbara Maughan
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, Institute of Psychiatry, London, United Kingdom
| | - Thalia Eley
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, Institute of Psychiatry, London, United Kingdom
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