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Abstract
Identifying early causal factors leading to the development of poor mental health and behavioral outcomes is essential to design efficient preventive interventions. The substantial associations observed between parental risk factors (e.g., maternal stress in pregnancy, parental education, parental psychopathology, parent-child relationship) and child outcomes point toward the importance of parents in shaping child outcomes. However, such associations may also reflect confounding, including genetic transmission-that is, the child inherits genetic risk common to the parental risk factor and the child outcome. This can generate associations in the absence of a causal effect. As randomized trials and experiments are often not feasible or ethical, observational studies can help to infer causality under specific assumptions. This review aims to provide a comprehensive summary of current causal inference methods using observational data in intergenerational settings. We present the rich causal inference toolbox currently available to researchers, including genetically informed and analytical methods, and discuss their application to child mental health and related outcomes. We outline promising research areas and discuss how existing approaches can be combined or extended to probe the causal nature of intergenerational effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Leonard Frach
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London
| | - Eshim S Jami
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London
| | - Tom A McAdams
- Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | | | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London
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2
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Jami ES, Hammerschlag AR, Sallis HM, Qiao Z, Andreassen OA, Magnus PM, Njølstad PR, Havdahl A, Pingault JB, Evans DM, Munafò MR, Ystrom E, Bartels M, Middeldorp C. Do environmental effects indexed by parental genetic variation influence common psychiatric symptoms in childhood? Transl Psychiatry 2023; 13:94. [PMID: 36934099 PMCID: PMC10024694 DOI: 10.1038/s41398-023-02348-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 01/29/2023] [Accepted: 01/31/2023] [Indexed: 03/20/2023] Open
Abstract
Parental genes may indirectly influence offspring psychiatric outcomes through the environment that parents create for their children. These indirect genetic effects, also known as genetic nurture, could explain individual differences in common internalising and externalising psychiatric symptoms during childhood. Advanced statistical genetic methods leverage data from families to estimate the overall contribution of parental genetic nurture effects. This study included up to 10,499 children, 5990 mother-child pairs, and 6,222 father-child pairs from the Norwegian Mother Father and Child Study. Genome-based restricted maximum likelihood (GREML) models were applied using software packages GCTA and M-GCTA to estimate variance in maternally reported depressive, disruptive, and attention-deficit hyperactivity disorder (ADHD) symptoms in 8-year-olds that was explained by direct offspring genetic effects and maternal or paternal genetic nurture. There was no strong evidence of genetic nurture in this sample, although a suggestive paternal genetic nurture effect on offspring depressive symptoms (variance explained (V) = 0.098, standard error (SE) = 0.057) and a suggestive maternal genetic nurture effect on ADHD symptoms (V = 0.084, SE = 0.058) was observed. The results indicate that parental genetic nurture effects could be of some relevance in explaining individual differences in childhood psychiatric symptoms. However, robustly estimating their contribution is a challenge for researchers given the current paucity of large-scale samples of genotyped families with information on childhood psychiatric outcomes.
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Affiliation(s)
- Eshim S Jami
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hannah M Sallis
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Bristol, UK
| | - Zhen Qiao
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopment, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Per M Magnus
- Centre of Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Pål R Njølstad
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Alexandra Havdahl
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diakonale Hospital, Oslo, Norway
| | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - David M Evans
- The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Eivind Ystrom
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Christel Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, Australia.
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
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3
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Jami ES, Pritchard M, Shetty H, Stewart R, Young AH, Heslin M. Antidepressant and antipsychotic treatment of Psychotic Major Depression in a British mental healthcare setting. J Ment Health 2023; 32:71-77. [PMID: 33961752 DOI: 10.1080/09638237.2021.1922632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 01/11/2021] [Accepted: 02/18/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Evidence from treatment trials shows that the most effective pharmacological treatment for Psychotic Major Depression (PMD) is combined antidepressant and antipsychotic pharmacotherapy. AIM This study investigates the use of antidepressant and antipsychotic treatment for PMD in clinical practice and examines how treatment profiles correlate with demographic and clinical symptoms. METHOD Anonymised electronic health records of 2,837 individuals with PMD were followed up for 12-months post-diagnosis in a historic open cohort design. The use of antidepressants and antipsychotics, alone or in combination, were described using frequency statistics. Demographic and clinical characteristics associated with each treatment were assessed using logistic regression analyses. RESULTS Antidepressant and antipsychotic combination pharmacotherapy was the most used treatment for PMD with 69.9% users, compared to antidepressant monotherapy (10.9%) and antipsychotic monotherapy (10.3%). The remaining 8.9% of individuals did not receive antidepressant or antipsychotic treatment. The presence of delusions was strongly associated with the use of antipsychotics, both alone (odds ratio =3.99, 95% confidence intervals = 2.72-5.83, p<.001) and in combination with antidepressants (OR = 2.7, 95% CI = 2.09-3.67, p<.001), rather than antidepressant treatment alone. CONCLUSIONS Combined antidepressant and antipsychotic pharmacotherapy is the most common treatment of PMD in clinical practice, showing that clinical practice is in line with evidence from treatment research.
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Affiliation(s)
- Eshim S Jami
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
| | | | - Hitesh Shetty
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Beckenham, Kent, UK
| | - Margaret Heslin
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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4
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Jami ES, Hammerschlag AR, Ip HF, Allegrini AG, Benyamin B, Border R, Diemer EW, Jiang C, Karhunen V, Lu Y, Lu Q, Mallard TT, Mishra PP, Nolte IM, Palviainen T, Peterson RE, Sallis HM, Shabalin AA, Tate AE, Thiering E, Vilor-Tejedor N, Wang C, Zhou A, Adkins DE, Alemany S, Ask H, Chen Q, Corley RP, Ehli EA, Evans LM, Havdahl A, Hagenbeek FA, Hakulinen C, Henders AK, Hottenga JJ, Korhonen T, Mamun A, Marrington S, Neumann A, Rimfeld K, Rivadeneira F, Silberg JL, van Beijsterveldt CE, Vuoksimaa E, Whipp AM, Tong X, Andreassen OA, Boomsma DI, Brown SA, Burt SA, Copeland W, Dick DM, Harden KP, Harris KM, Hartman CA, Heinrich J, Hewitt JK, Hopfer C, Hypponen E, Jarvelin MR, Kaprio J, Keltikangas-Järvinen L, Klump KL, Krauter K, Kuja-Halkola R, Larsson H, Lehtimäki T, Lichtenstein P, Lundström S, Maes HH, Magnus P, Munafò MR, Najman JM, Njølstad PR, Oldehinkel AJ, Pennell CE, Plomin R, Reichborn-Kjennerud T, Reynolds C, Rose RJ, Smolen A, Snieder H, Stallings M, Standl M, Sunyer J, Tiemeier H, Wadsworth SJ, Wall TL, Whitehouse AJO, Williams GM, Ystrøm E, Nivard MG, Bartels M, Middeldorp CM. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms. J Am Acad Child Adolesc Psychiatry 2022; 61:934-945. [PMID: 35378236 PMCID: PMC10859168 DOI: 10.1016/j.jaac.2021.11.035] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/15/2021] [Accepted: 03/25/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. METHOD In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. RESULTS The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, neffective = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (|rg| > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range |rg| = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. CONCLUSION Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
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Affiliation(s)
- Eshim S Jami
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; University College London, London, United Kingdom.
| | - Anke R Hammerschlag
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands; Child Health Research Centre, University of Queensland, Brisbane, Australia
| | - Hill F Ip
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Andrea G Allegrini
- University College London, London, United Kingdom; Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Beben Benyamin
- University of South Australia, Adelaide, Australia; South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Richard Border
- Institute for Behavioral Genetics, University of Colorado Boulder
| | - Elizabeth W Diemer
- Erasmus University Medical Center, Rotterdam, the Netherlands; Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Chang Jiang
- Michigan State University, East Lansing; University of Florida, Gainesville
| | | | - Yi Lu
- Karolinska Institutet, Stockholm, Sweden
| | - Qing Lu
- Michigan State University, East Lansing
| | | | - Pashupati P Mishra
- Tampere University, Tampere, Finland, and Fimlab Laboratories, Tampere, Finland
| | - Ilja M Nolte
- University of Groningen, University Medical Center Groningen, the Netherlands
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Finland
| | - Roseann E Peterson
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond
| | - Hannah M Sallis
- School of Psychological Science, University of Bristol, United Kingdom, and Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, United Kingdom; Centre for Academic Mental Health, Population Health Sciences, University of Bristol, United Kingdom
| | | | | | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Ludwig-Maximilians-Universität, Munich, Germany
| | - Natàlia Vilor-Tejedor
- Erasmus University Medical Center, Rotterdam, the Netherlands; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; BarcelonaBeta Brain Research Center, (BBRC) Pasqual Maragall Foundation, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Carol Wang
- School of Medicine and Public Health, University of Newcastle, Australia
| | - Ang Zhou
- University of South Australia, Adelaide, Australia
| | | | - Silvia Alemany
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; SGlobal, Barcelona Institute of Global Health, Barcelona, Spain; and CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Helga Ask
- Norwegian Institute of Public Health, Oslo, Norway
| | - Qi Chen
- Karolinska Institutet, Stockholm, Sweden
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado Boulder
| | - Erik A Ehli
- Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center, Sioux Falls, South Dakota
| | - Luke M Evans
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - Fiona A Hagenbeek
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | | | - Anjali K Henders
- Institute for Molecular Biosciences, University of Queensland, Brisbane, Australia
| | | | - Tellervo Korhonen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Finland
| | - Abdullah Mamun
- Institute for Social Science Research, University of Queensland, Brisbane, Australia
| | - Shelby Marrington
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Alexander Neumann
- Erasmus University Medical Center, Rotterdam, the Netherlands; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | | | - Judy L Silberg
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond
| | | | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Finland
| | - Alyce M Whipp
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Finland
| | - Xiaoran Tong
- Michigan State University, East Lansing; University of Florida, Gainesville
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; and Oslo University Hospital, Norway
| | | | | | | | | | | | | | | | - Catharina A Hartman
- University of Groningen, University Medical Center Groningen, the Netherlands
| | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Ludwig-Maximilians-Universität, Munich, Germany; Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder
| | | | - Elina Hypponen
- University of South Australia, Adelaide, Australia; South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Marjo-Riitta Jarvelin
- MRC-PHE Centre for Environment and Health, Imperial College London, United Kingdom; the Center for Life Course Health Research, University of Oulu, Oulu, Finland; and Oulu University Hospital, Oulu, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Finland
| | | | | | | | | | | | - Terho Lehtimäki
- Tampere University, Tampere, Finland, and Fimlab Laboratories, Tampere, Finland
| | | | | | - Hermine H Maes
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; Massey Cancer Center, Virginia Commonwealth University, Richmond
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, United Kingdom, and Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, United Kingdom; NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, United Kingdom
| | - Jake M Najman
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Pål R Njølstad
- Center for Diabetes Research, University of Bergen, Bergen, Norway, and Haukeland University Hospital, Bergen, Norway
| | | | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Australia
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | | | - Chandra Reynolds
- University of California at Riverside, California, and Indiana University, Bloomington, Indiana
| | - Richard J Rose
- University of California at Riverside, California, and Indiana University, Bloomington, Indiana
| | - Andrew Smolen
- Institute for Behavioral Genetics, University of Colorado Boulder
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, the Netherlands
| | | | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Jordi Sunyer
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; SGlobal, Barcelona Institute of Global Health, Barcelona, Spain; and CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Henning Tiemeier
- Erasmus University Medical Center, Rotterdam, the Netherlands; Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | | | | | | | - Gail M Williams
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Eivind Ystrøm
- Norwegian Institute of Public Health, Oslo, Norway; PROMENTA Research Center, University of Oslo, Norway
| | | | - Meike Bartels
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Christel M Middeldorp
- Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Child Health Research Centre, University of Queensland, Brisbane, Australia; Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
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Rajula HSR, Manchia M, Agarwal K, Akingbuwa WA, Allegrini AG, Diemer E, Doering S, Haan E, Jami ES, Karhunen V, Leone M, Schellhas L, Thompson A, van den Berg SM, Bergen SE, Kuja-Halkola R, Hammerschlag AR, Järvelin MR, Leval A, Lichtenstein P, Lundstrom S, Mauri M, Munafò MR, Myers D, Plomin R, Rimfeld K, Tiemeier H, Ystrom E, Fanos V, Bartels M, Middeldorp CM. Overview of CAPICE-Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe-an EU Marie Skłodowska-Curie International Training Network. Eur Child Adolesc Psychiatry 2022; 31:829-839. [PMID: 33474652 PMCID: PMC9142454 DOI: 10.1007/s00787-020-01713-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/21/2020] [Indexed: 01/30/2023]
Abstract
The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).
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Affiliation(s)
- Hema Sekhar Reddy Rajula
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Kratika Agarwal
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, The Netherlands
| | - Wonuola A Akingbuwa
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elizabeth Diemer
- Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Sabrina Doering
- Centre for Ethics, Law and Mental Health (CELAM), Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Elis Haan
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - Eshim S Jami
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Marica Leone
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laura Schellhas
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - Ashley Thompson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Stéphanie M van den Berg
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, The Netherlands
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia
| | - Marjo Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulun yliopisto, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University , London, UK
| | - Amy Leval
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundstrom
- Centre for Ethics, Law and Mental Health (CELAM), Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | | | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - David Myers
- Janssen Pharmaceutical, Global Commercial Strategy Organization, Stockholm, Sweden
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Henning Tiemeier
- Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Eivind Ystrom
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.,Norwegian Institute of Public Health, Oslo, Norway.,Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Cagliari, Italy
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. .,Child Health Research Centre, Level 6, Centre for Children's Health Research, University of Queensland, 62 Graham Street, South Brisbane, QLD, 4101, Australia. .,Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
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6
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Middeldorp CM, Akingbuwa WA, Jami ES, Bartels M. [Genetic research in childhood and adolescent psychiatry]. Tijdschr Psychiatr 2022; 64:295-300. [PMID: 35735040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Childhood mental health problems are partly influence by genetic factors with heritability estimates varying between 40% and 90%. AIM We provide examples of genetic research focusing on explaining the continuity of symptoms and the association between parental traits and offspring psychopathology. METHOD We summarize two recently publish review papers RESULTS: There are significant genetic correlations between childhood and adult mental disorders. Genetic factors also explain part of the associations between parental traits and offspring psychopathology, because parents and children share 50% of their genetic material. CONCLUSION The role of genetic factors is not restricted to influencing the risk to develop a mental disorder. They also play a role in persistence of symptoms and the associations with the environment.
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7
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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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8
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Jami ES, Hammerschlag AR, Bartels M, Middeldorp CM. Parental characteristics and offspring mental health and related outcomes: a systematic review of genetically informative literature. Transl Psychiatry 2021; 11:197. [PMID: 33795643 PMCID: PMC8016911 DOI: 10.1038/s41398-021-01300-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 02/19/2021] [Accepted: 03/03/2021] [Indexed: 12/18/2022] Open
Abstract
Various parental characteristics, including psychiatric disorders and parenting behaviours, are associated with offspring mental health and related outcomes in observational studies. The application of genetically informative designs is crucial to disentangle the role of genetic and environmental factors (as well as gene-environment correlation) underlying these observations, as parents provide not only the rearing environment but also transmit 50% of their genes to their offspring. This article first provides an overview of behavioural genetics, matched-pair, and molecular genetics designs that can be applied to investigate parent-offspring associations, whilst modelling or accounting for genetic effects. We then present a systematic literature review of genetically informative studies investigating associations between parental characteristics and offspring mental health and related outcomes, published since 2014. The reviewed studies provide reliable evidence of genetic transmission of depression, criminal behaviour, educational attainment, and substance use. These results highlight that studies that do not use genetically informative designs are likely to misinterpret the mechanisms underlying these parent-offspring associations. After accounting for genetic effects, several parental characteristics, including parental psychiatric traits and parenting behaviours, were associated with offspring internalising problems, externalising problems, educational attainment, substance use, and personality through environmental pathways. Overall, genetically informative designs to study intergenerational transmission prove valuable for the understanding of individual differences in offspring mental health and related outcomes, and mechanisms of transmission within families.
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Affiliation(s)
- 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.
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, the Netherlands
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, the Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, QLD, Australia
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9
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Akingbuwa WA, Hammerschlag AR, Jami ES, Allegrini AG, Karhunen V, Sallis H, Ask H, Askeland RB, Baselmans B, Diemer E, Hagenbeek FA, Havdahl A, Hottenga JJ, Mbarek H, Rivadeneira F, Tesli M, van Beijsterveldt C, Breen G, Lewis CM, Thapar A, Boomsma DI, Kuja-Halkola R, Reichborn-Kjennerud T, Magnus P, Rimfeld K, Ystrom EIVIND, Jarvelin MR, Lichtenstein P, Lundstrom S, Munafò MR, Plomin R, Tiemeier H, Nivard MG, Bartels M, Middeldorp CM. Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals: A Meta-analysis. JAMA Psychiatry 2020; 77:715-728. [PMID: 32293669 PMCID: PMC7160753 DOI: 10.1001/jamapsychiatry.2020.0527] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 02/17/2020] [Indexed: 12/14/2022]
Abstract
Importance Adult mood disorders are often preceded by behavioral and emotional problems in childhood. It is yet unclear what explains the associations between childhood psychopathology and adult traits. Objective To investigate whether genetic risk for adult mood disorders and associated traits is associated with childhood disorders. Design, Setting, and Participants This meta-analysis examined data from 7 ongoing longitudinal birth and childhood cohorts from the UK, the Netherlands, Sweden, Norway, and Finland. Starting points of data collection ranged from July 1985 to April 2002. Participants were repeatedly assessed for childhood psychopathology from ages 6 to 17 years. Data analysis occurred from September 2017 to May 2019. Exposures Individual polygenic scores (PGS) were constructed in children based on genome-wide association studies of adult major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI). Main Outcomes and Measures Regression meta-analyses were used to test associations between PGS and attention-deficit/hyperactivity disorder (ADHD) symptoms and internalizing and social problems measured repeatedly across childhood and adolescence and whether these associations depended on childhood phenotype, age, and rater. Results The sample included 42 998 participants aged 6 to 17 years. Male participants varied from 43.0% (1040 of 2417 participants) to 53.1% (2434 of 4583 participants) by age and across all cohorts. The PGS of adult major depression, neuroticism, BMI, and insomnia were positively associated with childhood psychopathology (β estimate range, 0.023-0.042 [95% CI, 0.017-0.049]), while associations with PGS of subjective well-being and educational attainment were negative (β, -0.026 to -0.046 [95% CI, -0.020 to -0.057]). There was no moderation of age, type of childhood phenotype, or rater with the associations. The exceptions were stronger associations between educational attainment PGS and ADHD compared with internalizing problems (Δβ, 0.0561 [Δ95% CI, 0.0318-0.0804]; ΔSE, 0.0124) and social problems (Δβ, 0.0528 [Δ95% CI, 0.0282-0.0775]; ΔSE, 0.0126), and between BMI PGS and ADHD and social problems (Δβ, -0.0001 [Δ95% CI, -0.0102 to 0.0100]; ΔSE, 0.0052), compared with internalizing problems (Δβ, -0.0310 [Δ95% CI, -0.0456 to -0.0164]; ΔSE, 0.0074). Furthermore, the association between educational attainment PGS and ADHD increased with age (Δβ, -0.0032 [Δ 95% CI, -0.0048 to -0.0017]; ΔSE, 0.0008). Conclusions and Relevance Results from this study suggest the existence of a set of genetic factors influencing a range of traits across the life span with stable associations present throughout childhood. Knowledge of underlying mechanisms may affect treatment and long-term outcomes of individuals with psychopathology.
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Affiliation(s)
- Wonuola A. Akingbuwa
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Anke R. Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Eshim S. Jami
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Hannah Sallis
- University of Bristol School of Psychological Science, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Helga Ask
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Ragna B. Askeland
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Bart Baselmans
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elizabeth Diemer
- Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Fiona A. Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Alexandra Havdahl
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hamdi Mbarek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Qatar Genome Programme, Qatar Foundation, Doha, Qatar
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Erasmus MC, Department of Epidemiology, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Erasmus MC, Department of Internal Medicine, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Martin Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- National Institute of Health Research Biomedical Research Centre, South London and Maudsley National Health Services Foundation Trust, London, London, United Kingdom
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Anita Thapar
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - EIVIND Ystrom
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Medical Research Council–Public Health England Centre for Environment and Health, Imperial College London, London, United Kingdom
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu, Finland
- Institute of Biomedicine and Biocenter of Oulu, Oulu, Finland
- Department of Life Sciences, Brunel University London College of Health and Life Sciences, London, United Kingdom
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundstrom
- Centre for Ethics Law and Mental Health, Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Marcus R. Munafò
- University of Bristol School of Psychological Science, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- National Institute of Health Research Biomedical Research Centre, University Hospitals Bristol National Health Services Foundation Trust, University of Bristol, Bristol, United Kingdom
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Henning Tiemeier
- Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Social and Behavioral Science, Harvard T. H. Chan School of Medicine, Boston, Massachusetts
| | - Michel G. Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Christel M. Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Services, Brisbane, Queensland, Australia
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10
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Jami ES, Eilertsen EM, Hammerschlag AR, Qiao Z, Evans DM, Ystrøm E, Bartels M, Middeldorp CM. Maternal and paternal effects on offspring internalizing problems: Results from genetic and family-based analyses. Am J Med Genet B Neuropsychiatr Genet 2020; 183:258-267. [PMID: 32356930 PMCID: PMC7317352 DOI: 10.1002/ajmg.b.32784] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 02/14/2020] [Accepted: 03/24/2020] [Indexed: 02/06/2023]
Abstract
It is unclear to what extent parental influences on the development of internalizing problems in offspring are explained by indirect genetic effects, reflected in the environment provided by the parent, in addition to the genes transmitted from parent to child. In this study, these effects were investigated using two innovative methods in a large birth cohort. Using maternal-effects genome complex trait analysis (M-GCTA), the effects of offspring genotype, maternal or paternal genotypes, and their covariance on offspring internalizing problems were estimated in 3,801 mother-father-child genotyped trios. Next, estimated genetic correlations within pedigree data, including 10,688 children, were used to estimate additive genetic effects, maternal and paternal genetic effects, and a shared family effect using linear mixed effects modeling. There were no significant maternal or paternal genetic effects on offspring anxiety or depressive symptoms at age 8, beyond the effects transmitted via the genetic pathway between parents and children. However, indirect maternal genetic effects explained a small, but nonsignificant, proportion of variance in childhood depressive symptoms in both the M-GCTA (~4%) and pedigree (~8%) analyses. Our results suggest that parental effects on offspring internalizing problems are predominantly due to transmitted genetic variants, rather than the indirect effect of parental genes via the environment.
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Affiliation(s)
- Eshim S. Jami
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | | | - Anke R. Hammerschlag
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Public Health Research InstituteAmsterdamThe Netherlands,Child Health Research CentreUniversity of QueenslandBrisbaneAustralia
| | - Zhen Qiao
- The University of Queensland Diamantina InstituteThe University of QueenslandBrisbaneAustralia
| | - David M. Evans
- The University of Queensland Diamantina InstituteThe University of QueenslandBrisbaneAustralia,Medical Research Council Integrative Epidemiology Unit at the University of BristolBristolUK,Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Eivind Ystrøm
- Department of Mental DisordersNorwegian Institute of Public HealthOsloNorway,PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway,School of PharmacyUniversity of OsloOsloNorway
| | - Meike Bartels
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands,Amsterdam Public Health Research InstituteAmsterdamThe Netherlands
| | - Christel M. Middeldorp
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands,Child Health Research CentreUniversity of QueenslandBrisbaneAustralia,Child and Youth Mental Health ServiceChildren's Health Queensland Hospital and Health ServiceBrisbaneAustralia
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