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Morneau‐Vaillancourt G, Palaiologou E, Polderman TJ, Eley TC. Research Review: A review of the past decade of family and genomic studies on adolescent mental health. J Child Psychol Psychiatry 2025; 66:910-927. [PMID: 39697100 PMCID: PMC12062863 DOI: 10.1111/jcpp.14099] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 09/16/2024] [Indexed: 12/20/2024]
Abstract
BACKGROUND Mental health problems and traits capturing psychopathology are common and often begin during adolescence. Decades of twin studies indicate that genetic factors explain around 50% of individual differences in adolescent psychopathology. In recent years, significant advances, particularly in genomics, have moved this work towards more translational findings. METHODS This review provides an overview of the past decade of genetically sensitive studies on adolescent development, covering both family and genomic studies in adolescents aged 10-24 years. We focus on five research themes: (1) co-occurrence or comorbidity between psychopathologies, (2) stability and change over time, (3) intergenerational transmission, (4) gene-environment interplay, and (5) psychological treatment outcomes. RESULTS First, research shows that much of the co-occurrence of psychopathologies in adolescence is explained by genetic factors, with widespread pleiotropic influences on many traits. Second, stability in psychopathology across adolescence is largely explained by persistent genetic influences, whereas change is explained by emerging genetic and environmental influences. Third, contemporary twin-family studies suggest that different co-occurring genetic and environmental mechanisms may account for the intergenerational transmission of psychopathology, with some differences across psychopathologies. Fourth, genetic influences on adolescent psychopathology are correlated with a wide range of environmental exposures. However, the extent to which genetic factors interact with the environment remains unclear, as findings from both twin and genomic studies are inconsistent. Finally, a few studies suggest that genetic factors may play a role in psychological treatment response, but these findings have not yet been replicated. CONCLUSIONS Genetically sensitive research on adolescent psychopathology has progressed significantly in the past decade, with family and twin findings starting to be replicated at the genomic level. However, important gaps remain in the literature, and we conclude by providing suggestions of research questions that still need to be addressed.
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Affiliation(s)
- Geneviève Morneau‐Vaillancourt
- Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Elisavet Palaiologou
- Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Tinca J.C. Polderman
- Department of Clinical Developmental PsychologyVrije UniversiteitAmsterdamThe Netherlands
- Department of Child and Adolescent Psychiatry & Social CareAmsterdam UMCAmsterdamThe Netherlands
| | - Thalia C. Eley
- Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley HospitalLondonUK
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Allegrini AG, Hannigan LJ, Frach L, Barkhuizen W, Baldwin JR, Andreassen OA, Bragantini D, Hegemann L, Havdahl A, Pingault JB. Intergenerational transmission of polygenic predisposition for neuropsychiatric traits on emotional and behavioural difficulties in childhood. Nat Commun 2025; 16:2674. [PMID: 40102402 PMCID: PMC11920414 DOI: 10.1038/s41467-025-57694-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 02/28/2025] [Indexed: 03/20/2025] Open
Abstract
Childhood emotional and behavioural difficulties tend to co-occur and often precede diagnosed neuropsychiatric conditions. Identifying shared and specific risk factors for early-life mental health difficulties is therefore essential for prevention strategies. Here, we examine how parental risk factors shape their offspring's emotional and behavioural symptoms (e.g. feelings of anxiety, and restlessness) using data from 14,959 genotyped family trios from the Norwegian Mother, Father and Child Cohort Study (MoBa). We model maternal reports of emotional and behavioural symptoms, organizing them into general and specific domains. We then investigate the direct (genetically transmitted) and indirect (environmentally mediated) contributions of parental polygenic risk for neuropsychiatric-related traits and whether these are shared across symptoms. We observe evidence consistent with an environmental route to general symptomatology beyond genetic transmission, while also demonstrating domain-specific direct and indirect genetic contributions. These findings improve our understanding of early risk pathways that can be targeted in preventive interventions aiming to interrupt the intergenerational cycle of risk transmission.
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Affiliation(s)
- A G Allegrini
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - L J Hannigan
- Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
| | - L Frach
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - W Barkhuizen
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - J R Baldwin
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - O A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - D Bragantini
- Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - L Hegemann
- Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - A Havdahl
- Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Psychology, PROMENTA Research Centre, University of Oslo, Oslo, Norway
| | - J-B Pingault
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Zavlis O, Parsons S, Fox E, Booth C, Songco A, Vincent JP. The effects of life experiences and polygenic risk for depression on the development of positive and negative cognitive biases across adolescence: The CogBIAS hypothesis. Dev Psychopathol 2025; 37:361-370. [PMID: 38247376 DOI: 10.1017/s0954579423001645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
The Cognitive Bias (CogBIAS) hypothesis proposes that cognitive biases develop as a function of environmental influences (which determine the valence of biases) and the genetic susceptibility to those influences (which determines the potency of biases). The current study employed a longitudinal, polygenic-by-environment approach to examine the CogBIAS hypothesis. To this end, measures of life experiences and polygenic scores for depression were used to assess the development of memory and interpretation biases in a three-wave sample of adolescents (12-16 years) (N = 337). Using mixed effects modeling, three patterns were revealed. First, positive life experiences (PLEs) were found to diminish negative and enhance positive forms of memory and social interpretation biases. Second, and against expectation, negative life experiences and depression polygenic scores were not associated with any cognitive outcomes, upon adjusting for psychopathology. Finally, and most importantly, the interaction between high polygenic risk and greater PLEs was associated with a stronger positive interpretation bias for social situations. These results provide the first line of polygenic evidence in support of the CogBIAS hypothesis, but also extend this hypothesis by highlighting positive genetic and nuanced environmental influences on the development of cognitive biases across adolescence.
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Affiliation(s)
- Orestis Zavlis
- Department of Psychology and Language Sciences, University College London, London, UK
| | - Sam Parsons
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Gelderland, Netherlands
| | - Elaine Fox
- University of Adelaide, School of Psychology, Adelaide, SA, Australia
| | - Charlotte Booth
- University College London, Centre for Longitudinal Studies, London, UK
| | - Annabel Songco
- University of New South Wales, School of Psychology, Sydney, NSW, Australia
| | - John Paul Vincent
- King's College London, Institute of Psychiatry Psychology and Neuroscience, Social Genetic and Developmental Psychiatry Centre, London, UK
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Askelund AD, Hegemann L, Allegrini AG, Corfield EC, Ask H, Davies NM, Andreassen OA, Havdahl A, Hannigan LJ. The genetic architecture of differentiating behavioral and emotional problems in early life. Biol Psychiatry 2025:S0006-3223(25)00022-8. [PMID: 39793691 DOI: 10.1016/j.biopsych.2024.12.021] [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: 11/27/2023] [Revised: 11/29/2024] [Accepted: 12/24/2024] [Indexed: 01/13/2025]
Abstract
BACKGROUND Early in life, behavioral and cognitive traits associated with risk for developing a psychiatric condition are broad and undifferentiated. As children develop, these traits differentiate into characteristic clusters of symptoms and behaviors that ultimately form the basis of diagnostic categories. Understanding this differentiation process - in the context of genetic risk for psychiatric conditions, which is highly generalized - can improve early detection and intervention. METHODS We modeled the differentiation of behavioral and emotional problems from age 1.5-5 years (behavioral problems - emotional problems = differentiation score) in a pre-registered study of ∼79,000 children from the population-based Norwegian Mother, Father, and Child Cohort Study. We used genomic structural equation modeling to identify genetic signal in differentiation and total problems, investigating their links with 11 psychiatric and neurodevelopmental conditions. We examined associations of polygenic scores (PGS) with both outcomes and assessed the relative contributions of direct and indirect genetic effects in ∼33,000 family trios. RESULTS Differentiation was primarily genetically correlated with psychiatric conditions via a "neurodevelopmental" factor. Total problems were primarily associated with the "neurodevelopmental" factor and "p"-factor. PGS analyses revealed an association between liability to ADHD and differentiation (β=0.11 [0.10,0.12]), and a weaker association with total problems (β=0.06 [0.04,0.07]). Trio-PGS analyses showed predominantly direct genetic effects on both outcomes. CONCLUSIONS We uncovered genomic signal in the differentiation process, mostly related to common variants associated with neurodevelopmental conditions. Investigating the differentiation of early life behavioral and emotional problems may enhance our understanding of the developmental emergence of different psychiatric and neurodevelopmental conditions.
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Affiliation(s)
- Adrian Dahl Askelund
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Psychiatric Genetic Epidemiology group, Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
| | - Laura Hegemann
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Psychiatric Genetic Epidemiology group, Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
| | - Andrea G Allegrini
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Elizabeth C Corfield
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Psychiatric Genetic Epidemiology group, Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
| | - Helga Ask
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway.
| | - Neil M Davies
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK; Division of Psychiatry, University College London, United Kingdom; Department of Statistical Sciences, University College London, London WC1E 6BT, UK; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Norway.
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway; KG Jebsen Centre for Neurodevelopmental disorders, University of Oslo, Oslo, Norway.
| | - Alexandra Havdahl
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Psychiatric Genetic Epidemiology group, Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Laurie J Hannigan
- PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Psychiatric Genetic Epidemiology group, Research Department, Lovisenberg Diaconal Hospital, Oslo, Norway; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.
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Michelini G, Carlisi CO, Eaton NR, Elison JT, Haltigan JD, Kotov R, Krueger RF, Latzman RD, Li JJ, Levin-Aspenson HF, Salum GA, South SC, Stanton K, Waldman ID, Wilson S. Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum. World Psychiatry 2024; 23:333-357. [PMID: 39279404 PMCID: PMC11403200 DOI: 10.1002/wps.21225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/18/2024] Open
Abstract
Features of autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disorders, intellectual disabilities, and communication and motor disorders usually emerge early in life and are associated with atypical neurodevelopment. These "neurodevelopmental conditions" are grouped together in the DSM-5 and ICD-11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges in both research and clinical settings (e.g., high co-occurrence, arbitrary diagnostic boundaries, high within-disorder heterogeneity). Taking a transdiagnostic dimensional approach provides a useful alternative for addressing these limitations, accounting for shared underpinnings across neurodevelopmental conditions, and characterizing their common co-occurrence and developmental continuity with other psychiatric conditions. Neurodevelopmental features have not been adequately considered in transdiagnostic psychiatric frameworks, although this would have fundamental implications for research and clinical practices. Growing evidence from studies on the structure of neurodevelopmental and other psychiatric conditions indicates that features of neurodevelopmental conditions cluster together, delineating a "neurodevelopmental spectrum" ranging from normative to impairing profiles. Studies on shared genetic underpinnings, overlapping cognitive and neural profiles, and similar developmental course and efficacy of support/treatment strategies indicate the validity of this neurodevelopmental spectrum. Further, characterizing this spectrum alongside other psychiatric dimensions has clinical utility, as it provides a fuller view of an individual's needs and strengths, and greater prognostic utility than diagnostic categories. Based on this compelling body of evidence, we argue that incorporating a new neurodevelopmental spectrum into transdiagnostic frameworks has considerable potential for transforming our understanding, classification, assessment, and clinical practices around neurodevelopmental and other psychiatric conditions.
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Affiliation(s)
- Giorgia Michelini
- Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - John D Haltigan
- Department of Psychiatry, Division of Child and Youth Mental Health, University of Toronto, Toronto, ON, Canada
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - James J Li
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Giovanni A Salum
- Child Mind Institute, New York, NY, USA
- Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para a Infância e Adolescência, São Paulo, Brazil
| | - Susan C South
- Department of Psychological Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Kasey Stanton
- Department of Psychology, University of Wyoming, Laramie, WY, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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Chen LM, Pokhvisneva I, Lahti-Pulkkinen M, Kvist T, Baldwin JR, Parent C, Silveira PP, Lahti J, Räikkönen K, Glover V, O'Connor TG, Meaney MJ, O'Donnell KJ. Independent Prediction of Child Psychiatric Symptoms by Maternal Mental Health and Child Polygenic Risk Scores. J Am Acad Child Adolesc Psychiatry 2024; 63:640-651. [PMID: 37977417 PMCID: PMC11105503 DOI: 10.1016/j.jaac.2023.08.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 08/10/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Prenatal maternal symptoms of depression and anxiety are associated with an increased risk for child socioemotional and behavioral difficulties, supporting the fetal origins of mental health hypothesis. However, to date, studies have not considered specific genomic risk as a possible confound. METHOD The Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (n = 5,546) was used to test if child polygenic risk score for attention-deficit/hyperactivity disorder (ADHD), schizophrenia, or depression confounds or modifies the impact of prenatal maternal depression and anxiety on child internalizing, externalizing, and total emotional/behavioral symptoms from age 4 to 16 years. Longitudinal child and adolescent symptom data were analyzed in the ALSPAC cohort using generalized estimating equations. Replication analyses were done in an independent cohort (Prevention of Preeclampsia and Intrauterine Growth Restriction [PREDO] cohort; n = 514) from Finland, which provided complementary measures of maternal mental health and child psychiatric symptoms. RESULTS Maternal depression and anxiety and child polygenic risk scores independently and additively predicted behavioral and emotional symptoms from childhood through mid-adolescence. There was a robust prediction of child and adolescent symptoms from both prenatal maternal depression (generalized estimating equation estimate = 0.093, 95% CI 0.065-0.121, p = 2.66 × 10-10) and anxiety (generalized estimating equation estimate = 0.065, 95% CI 0.037-0.093, p = 1.62 × 10-5) after adjusting for child genomic risk for mental disorders. There was a similar independent effect of maternal depression (B = 0.156, 95% CI 0.066-0.246, p = .001) on child symptoms in the PREDO cohort. Genetically informed sensitivity analyses suggest that shared genetic risk only partially explains the reported association between prenatal maternal depression and offspring mental health. CONCLUSION These findings highlight the genomic contribution to the fetal origins of mental health hypothesis and further evidence that prenatal maternal depression and anxiety are robust in utero risks for child and adolescent psychiatric symptoms. PLAIN LANGUAGE SUMMARY Depression and anxiety affect approximately 15% of pregnant women, and children exposed to maternal depression or anxiety during pregnancy are at higher risk of developing mental health problems. However, the degree to which shared genetics explains the association between maternal and child mental health is unknown. In this study the authors generated polygenic risk scores (PRS), which provide a single measure of genetic risk for complex traits, to investigate the impact of shared genetic risk on the development of childhood mental health problems. Utilizing two longitudinal studies (n = 6,060), the authors found that PRS only partially explained the association between prenatal maternal depression and childhood mental health problems. These analyses show prenatal maternal depression remained a significant predictor of childhood mental health problems after accounting for shared genetic risk, further highlighting that prenatal maternal mental health is a robust predictor of child and adolescent mental health problems.
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Affiliation(s)
- Lawrence M Chen
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Irina Pokhvisneva
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Marius Lahti-Pulkkinen
- University of Helsinki, Finland; Finnish Institute for Health and Welfare, Finland; University of Edinburgh, United Kingdom
| | | | | | - Carine Parent
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Patricia P Silveira
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Jari Lahti
- University of Helsinki, Finland; Turku Institute for Advanced Studies, University of Turku, Finland
| | | | - Vivette Glover
- Institute of Reproductive and Developmental Biology, Imperial College London, United Kingdom
| | - Thomas G O'Connor
- University of Rochester, Rochester, New York; Wynne Center for Family Research, University of Rochester, Rochester, New York
| | - Michael J Meaney
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research (A∗STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut; Yale School of Medicine, New Haven, Connecticut.
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Harris JL, Swanson B, Petersen IT. A Developmentally Informed Systematic Review and Meta-Analysis of the Strength of General Psychopathology in Childhood and Adolescence. Clin Child Fam Psychol Rev 2024; 27:130-164. [PMID: 38112921 PMCID: PMC10938301 DOI: 10.1007/s10567-023-00464-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2023] [Indexed: 12/21/2023]
Abstract
Considerable support exists for higher-order dimensional conceptualizations of psychopathology in adults. A growing body of work has focused on understanding the structure of general and specific psychopathology in children and adolescents. No prior meta-analysis has examined whether the strength of the general psychopathology factor (p factor)-measured by explained common variance (ECV)-changes from childhood to adolescence. The primary objective of this multilevel meta-analysis was to determine whether general psychopathology strength changes across development (i.e. across ages) in childhood and adolescence. Several databases were searched in November 2021; 65 studies, with 110 effect sizes (ECV), nested within shared data sources, were identified. Included empirical studies used a factor analytic modeling approach that estimated latent factors for child/adolescent internalizing, externalizing, and optionally thought-disordered psychopathology, and a general factor. Studies spanned ages 2-17 years. Across ages, general psychopathology explained over half (~ 56%) of the reliable variance in symptoms of psychopathology. Age-moderation analyses revealed that general factor strength remained stable across ages, suggesting that general psychopathology strength does not significantly change across childhood to adolescence. Even if the structure of psychopathology changes with development, the prominence of general psychopathology across development has important implications for future research and intervention.
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Affiliation(s)
- Jordan L Harris
- Department of Psychological and Brain Sciences, University of Iowa, 340 Iowa Avenue G60, Iowa City, IA, 52242, USA.
| | - Benjamin Swanson
- Department of Psychological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Isaac T Petersen
- Department of Psychological and Brain Sciences, University of Iowa, 340 Iowa Avenue G60, Iowa City, IA, 52242, USA
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Hoy N, Lynch SJ, Waszczuk MA, Reppermund S, Mewton L. Transdiagnostic biomarkers of mental illness across the lifespan: A systematic review examining the genetic and neural correlates of latent transdiagnostic dimensions of psychopathology in the general population. Neurosci Biobehav Rev 2023; 155:105431. [PMID: 37898444 DOI: 10.1016/j.neubiorev.2023.105431] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/26/2023] [Accepted: 10/21/2023] [Indexed: 10/30/2023]
Abstract
This systematic review synthesizes evidence from research investigating the biological correlates of latent transdiagnostic dimensions of psychopathology (e.g., the p-factor, internalizing, externalizing) across the lifespan. Eligibility criteria captured genomic and neuroimaging studies investigating general and/or specific dimensions in general population samples across all age groups. MEDLINE, Embase, and PsycINFO were searched for relevant studies published up to March 2023 and 46 studies were selected for inclusion. The results revealed several biological correlates consistently associated with transdiagnostic dimensions of psychopathology, including polygenic scores for ADHD and neuroticism, global surface area and global gray matter volume. Shared and unique associations between symptom dimensions are highlighted, as are potential age-specific differences in biological associations. Findings are interpreted with reference to key methodological differences across studies. The included studies provide compelling evidence that the general dimension of psychopathology reflects common underlying genetic and neurobiological vulnerabilities that are shared across diverse manifestations of mental illness. Substantive interpretations of general psychopathology in the context of genetic and neurobiological evidence are discussed.
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Affiliation(s)
- Nicholas Hoy
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia; Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia.
| | - Samantha J Lynch
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia; Department of Psychiatry, Université de Montréal, Montreal, Canada; Research Centre, CHU Sainte-Justine, Montreal, Canada
| | - Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, United States
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia; Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, Australia
| | - Louise Mewton
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
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9
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Waszczuk MA, Miao J, Docherty AR, Shabalin AA, Jonas KG, Michelini G, Kotov R. General v. specific vulnerabilities: polygenic risk scores and higher-order psychopathology dimensions in the Adolescent Brain Cognitive Development (ABCD) Study. Psychol Med 2023; 53:1937-1946. [PMID: 37310323 PMCID: PMC10958676 DOI: 10.1017/s0033291721003639] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Polygenic risk scores (PRSs) capture genetic vulnerability to psychiatric conditions. However, PRSs are often associated with multiple mental health problems in children, complicating their use in research and clinical practice. The current study is the first to systematically test which PRSs associate broadly with all forms of childhood psychopathology, and which PRSs are more specific to one or a handful of forms of psychopathology. METHODS The sample consisted of 4717 unrelated children (mean age = 9.92, s.d. = 0.62; 47.1% female; all European ancestry). Psychopathology was conceptualized hierarchically as empirically derived general factor (p-factor) and five specific factors: externalizing, internalizing, neurodevelopmental, somatoform, and detachment. Partial correlations explored associations between psychopathology factors and 22 psychopathology-related PRSs. Regressions tested which level of the psychopathology hierarchy was most strongly associated with each PRS. RESULTS Thirteen PRSs were significantly associated with the general factor, most prominently Chronic Multisite Pain-PRS (r = 0.098), ADHD-PRS (r = 0.079), and Depression-PRS (r = 0.078). After adjusting for the general factor, Depression-PRS, Neuroticism-PRS, PTSD-PRS, Insomnia-PRS, Chronic Back Pain-PRS, and Autism-PRS were not associated with lower order factors. Conversely, several externalizing PRSs, including Adventurousness-PRS and Disinhibition-PRS, remained associated with the externalizing factor (|r| = 0.040-0.058). The ADHD-PRS remained uniquely associated with the neurodevelopmental factor (r = 062). CONCLUSIONS PRSs developed to predict vulnerability to emotional difficulties and chronic pain generally captured genetic risk for all forms of childhood psychopathology. PRSs developed to predict vulnerability to externalizing difficulties, e.g. disinhibition, tended to be more specific in predicting behavioral problems. The results may inform translation of existing PRSs to pediatric research and future clinical practice.
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Affiliation(s)
- Monika A. Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - Jiaju Miao
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Andrey A. Shabalin
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - Giorgia Michelini
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
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10
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Rijlaarsdam J, Cosin-Tomas M, Schellhas L, Abrishamcar S, Malmberg A, Neumann A, Felix JF, Sunyer J, Gutzkow KB, Grazuleviciene R, Wright J, Kampouri M, Zar HJ, Stein DJ, Heinonen K, Räikkönen K, Lahti J, Hüls A, Caramaschi D, Alemany S, Cecil CAM. DNA methylation and general psychopathology in childhood: an epigenome-wide meta-analysis from the PACE consortium. Mol Psychiatry 2023; 28:1128-1136. [PMID: 36385171 PMCID: PMC7614743 DOI: 10.1038/s41380-022-01871-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 10/25/2022] [Accepted: 11/02/2022] [Indexed: 11/17/2022]
Abstract
The general psychopathology factor (GPF) has been proposed as a way to capture variance shared between psychiatric symptoms. Despite a growing body of evidence showing both genetic and environmental influences on GPF, the biological mechanisms underlying these influences remain unclear. In the current study, we conducted epigenome-wide meta-analyses to identify both probe- and region-level associations of DNA methylation (DNAm) with school-age general psychopathology in six cohorts from the Pregnancy And Childhood Epigenetics (PACE) Consortium. DNAm was examined both at birth (cord blood; prospective analysis) and during school-age (peripheral whole blood; cross-sectional analysis) in total samples of N = 2178 and N = 2190, respectively. At school-age, we identified one probe (cg11945228) located in the Bromodomain-containing protein 2 gene (BRD2) that negatively associated with GPF (p = 8.58 × 10-8). We also identified a significant differentially methylated region (DMR) at school-age (p = 1.63 × 10-8), implicating the SHC Adaptor Protein 4 (SHC4) gene and the EP300-interacting inhibitor of differentiation 1 (EID1) gene that have been previously implicated in multiple types of psychiatric disorders in adulthood, including obsessive compulsive disorder, schizophrenia, and major depressive disorder. In contrast, no prospective associations were identified with DNAm at birth. Taken together, results of this study revealed some evidence of an association between DNAm at school-age and GPF. Future research with larger samples is needed to further assess DNAm variation associated with GPF.
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Affiliation(s)
- Jolien Rijlaarsdam
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marta Cosin-Tomas
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
- Universitat Pompeu Fabra, Barcelona, Spain.
- Centro de investigación biomédica en red en epidemiología y salud pública (ciberesp), Madrid, Spain.
| | - Laura Schellhas
- School of Psychological Science, MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute for Sex Research, Sexual Medicine and Forensic Psychiatry, University Medical Center Hamburg, Eppendorf, Germany
| | - Sarina Abrishamcar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anni Malmberg
- Department of Psychology & Logopedics, University of Helsinki, Helsinki, Finland
| | | | - Janine F Felix
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de investigación biomédica en red en epidemiología y salud pública (ciberesp), Madrid, Spain
| | - Kristine B Gutzkow
- Division of Climate and Environmental Health, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mariza Kampouri
- Department of Social Medicine, University of Crete, Crete, Greece
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Kati Heinonen
- Department of Psychology & Logopedics, University of Helsinki, Helsinki, Finland
- Psychology/ Welfare Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Katri Räikkönen
- Department of Psychology & Logopedics, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology & Logopedics, University of Helsinki, Helsinki, Finland
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Doretta Caramaschi
- Medical Research Council Integrative Epidemiology Unit, Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Department of Psychology, , University of Exeter, Exeter, UK
| | - Silvia Alemany
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
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11
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Hang Y, Speyer LG, Haring L, Murray AL, Mõttus R. Investigating general and specific psychopathology factors with nuance-level personality traits. Personal Ment Health 2023; 17:67-76. [PMID: 35959741 DOI: 10.1002/pmh.1561] [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] [Received: 03/03/2022] [Revised: 06/10/2022] [Accepted: 07/23/2022] [Indexed: 11/06/2022]
Abstract
Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure. Although traits' predictive accuracy varied across psychopathology factors, nuances (the lowest level personality units) provided higher predictive accuracy and higher discriminant validity than domains. For example, traits related to high vulnerability, depression and immoderation and low friendliness and achievement striving were most strongly associated with the p factor. Nuances may prove useful for predicting and understanding general and specific psychopathology forms.
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Affiliation(s)
- Yuzhan Hang
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Science and Technology of China, Hefei, China
| | - Lydia Gabriela Speyer
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Cambridge, Cambridge, UK
| | - Liina Haring
- Psychiatry Clinic of Tartu University Hospital, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | | | - René Mõttus
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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12
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Brikell I, Wimberley T, Albiñana C, Vilhjálmsson BJ, Agerbo E, Børglum AD, Demontis D, Schork AJ, LaBianca S, Werge T, Hougaard DM, Nordentoft M, Mors O, Mortensen PB, Petersen LV, Dalsgaard S. Interplay of ADHD Polygenic Liability With Birth-Related, Somatic, and Psychosocial Factors in ADHD: A Nationwide Study. Am J Psychiatry 2023; 180:73-88. [PMID: 36069019 DOI: 10.1176/appi.ajp.21111105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Attention deficit hyperactivity disorder (ADHD) is a multifactorial neurodevelopmental disorder, yet the interplay between ADHD polygenic risk scores (PRSs) and other risk factors remains relatively unexplored. The authors investigated associations, confounding, and interactions of ADHD PRS with birth-related, somatic, and psychosocial factors previously associated with ADHD. METHODS Participants included a random general population sample (N=21,578) and individuals diagnosed with ADHD (N=13,697) from the genotyped Danish iPSYCH2012 case cohort, born between 1981 and 2005. The authors derived ADHD PRSs and identified 24 factors previously associated with ADHD using national registers. Logistic regression was used to estimate associations of ADHD PRS with each risk factor in the general population. Cox models were used to evaluate confounding of risk factor associations with ADHD diagnosis by ADHD PRS and parental psychiatric history, and interactions between ADHD PRS and each risk factor. RESULTS ADHD PRS was associated with 12 of 24 risk factors (odds ratio range, 1.03-1.30), namely, small gestational age, infections, traumatic brain injury, and most psychosocial risk factors. Nineteen risk factors were associated with ADHD diagnosis (odds ratio range, 1.20-3.68), and adjusting for ADHD PRS and parental psychiatric history led to only minor attenuations. Only the interaction between ADHD PRS and maternal autoimmune disease survived correction for multiple testing. CONCLUSIONS Higher ADHD PRS in the general population is associated with small increases in risk for certain birth-related and somatic ADHD risk factors, and broadly to psychosocial adversity. Evidence of gene-environment interaction was limited, as was confounding by ADHD PRS and family psychiatric history on ADHD risk factor associations. This suggests that the majority of the investigated ADHD risk factors act largely independently of current ADHD PRS to increase risk of ADHD.
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Affiliation(s)
- Isabell Brikell
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Theresa Wimberley
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Clara Albiñana
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Bjarni Jóhann Vilhjálmsson
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Esben Agerbo
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Anders D Børglum
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Ditte Demontis
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Andrew J Schork
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Sonja LaBianca
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Thomas Werge
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - David M Hougaard
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Merete Nordentoft
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Ole Mors
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Preben Bo Mortensen
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Liselotte Vogdrup Petersen
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
| | - Søren Dalsgaard
- iPSYCH-Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark (all authors); National Center for Register-Based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark (Brikell, Wimberley, Albiñana, Vilhjálmsson, Agerbo, Mortensen, Petersen, Dalsgaard); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm (Brikell); Center for Integrated Register-Based Research-CIRRAU, Aarhus University, Aarhus, Denmark (Wimberley, Agerbo, Mortensen, Dalsgaard); Bioinformatics Research Center, Aarhus University, Aarhus, Denmark (Vilhjálmsson); Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark (Børglum, Demontis); Center for Genomics and Personalized Medicine, Central Region Denmark and Aarhus University, Aarhus, Denmark (Børglum, Demontis); Neurogenomics Division, Translational Genomics Research Institute, Phoenix (Schork); Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark (Schork, LaBianca, Werge, Nordentoft); Department of Clinical Medicine, University of Copenhagen, Copenhagen (Werge); Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen (Werge); Department for Congenital Disorders, Statens Serum Institut, Copenhagen (Hougaard); Copenhagen Research Center for Mental Health, Mental Health Services-CORE in the Capital Region of Denmark (Nordentoft); Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Denmark (Mors)
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13
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Chen C, Lu Y, Lundström S, Larsson H, Lichtenstein P, Pettersson E. Associations between psychiatric polygenic risk scores and general and specific psychopathology symptoms in childhood and adolescence between and within dizygotic twin pairs. J Child Psychol Psychiatry 2022; 63:1513-1522. [PMID: 35292971 PMCID: PMC9790278 DOI: 10.1111/jcpp.13605] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/23/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Although polygenic risk scores (PRS) predict psychiatric problems, these associations might be attributable to indirect pathways including population stratification, assortative mating, or dynastic effects (mediation via parental environments). The goal of this study was to examine whether PRS-psychiatric symptom associations were attributable to indirect versus direct pathways. METHODS The sample consisted of 3,907 dizygotic (DZ) twin pairs. In childhood, their parents rated them on 98 symptoms. In adolescence (n = 2,393 DZ pairs), both the parents and the twins rated themselves on 20 symptoms. We extracted one general and seven specific factors from the childhood data, and one general and three specific factors from the adolescent data. We then regressed each general factor model onto ten psychiatric PRS simultaneously. We first conducted the regressions between individuals (β) and then within DZ twin pairs (βw ), which controls for indirect pathways. RESULTS In childhood, the PRS for ADHD predicted general psychopathology (β = 0.09, 95% CI: [0.06, 0.12]; βw = 0.07 [0.01, 0.12]). Furthermore, the PRS for ADHD predicted specific inattention (β = 0.04 [0.00, 0.08]; βw = 0.09 [0.01, 0.17]) and specific hyperactivity (β = 0.07 [0.04, 0.11]; βw = 0.09 [0.01, 0.16]); the PRS for schizophrenia predicted specific learning (β = 0.08 [0.03, 0.13]; βw = 0.19 [0.08, 0.30]) and specific inattention problems (β = 0.05 [0.01, 0.09]; βw = 0.10 [0.02, 0.19]); and the PRS for neuroticism predicted specific anxiety (β = 0.06 [0.02, 0.10]; βw = 0.06 [0.00, 0.12]). Overall, the PRS-general factor associations were similar between individuals and within twin pairs, whereas the PRS-specific factors associations amplified by 84% within pairs. CONCLUSIONS This implies that PRS-psychiatric symptom associations did not appear attributable to indirect pathways such as population stratification, assortative mating, or mediation via parental environments. Rather, genetics appeared to directly influence symptomatology.
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Affiliation(s)
- Cen Chen
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Yi Lu
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Sebastian Lundström
- Centre for Ethics, Law and Mental Health (CELAM)University of GothenburgGothenburgSweden
- Gillberg Neuropsychiatry CentreUniversity of GothenburgGothenburgSweden
| | - Henrik Larsson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- School of Medical SciencesÖrebro UniversityÖrebroSweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Erik Pettersson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
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14
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Allegrini AG, Baldwin JR, Barkhuizen W, Pingault JB. Research Review: A guide to computing and implementing polygenic scores in developmental research. J Child Psychol Psychiatry 2022; 63:1111-1124. [PMID: 35354222 PMCID: PMC10108570 DOI: 10.1111/jcpp.13611] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022]
Abstract
The increasing availability of genotype data in longitudinal population- and family-based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions.
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Affiliation(s)
- Andrea G Allegrini
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jessie R Baldwin
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wikus Barkhuizen
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Jean-Baptiste Pingault
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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15
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Langley K, Martin J, Thapar A. Genetics of Attention-Deficit Hyperactivity Disorder. Curr Top Behav Neurosci 2022; 57:243-268. [PMID: 35538303 DOI: 10.1007/7854_2022_338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD) has long been recognized as being a highly heritable condition and our understanding of the genetic contributions to ADHD has grown over the past few decades. This chapter will discuss the studies that have examined its heritability and the efforts to identify specific genetic risk-variants at the molecular genetic level. We outline the various techniques that have been used to characterize genetic contributions to ADHD, describing what we have learnt so far, what there is still to learn and the methodologies that can be used to further our knowledge. In doing so we will discuss research into rare and common genetic variants, polygenic risk scores, and gene-environment interplay, while also describing what genetic studies have revealed about the biological processes involved in ADHD and what they have taught us about the overlap between ADHD and other psychiatric and somatic disorders. Finally, we will discuss the strengths and limitations of the current methodologies and clinical implications of genetic research to date.
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Affiliation(s)
- Kate Langley
- School of Psychology, Cardiff University, Cardiff, UK. .,MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
| | - Joanna Martin
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
| | - Anita Thapar
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
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16
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Speyer LG, Neaves S, Hall HA, Hemani G, Lombardo MV, Murray AL, Auyeung B, Luciano M. Polygenic risks for joint developmental trajectories of internalizing and externalizing problems: findings from the ALSPAC cohort. J Child Psychol Psychiatry 2022; 63:948-956. [PMID: 34856637 DOI: 10.1111/jcpp.13549] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/22/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Joint developmental trajectories of internalizing and externalizing problems show considerable heterogeneity; however, this can be parsed into a small number of meaningful subgroups. Doing so offered insights into risk factors that lead to different patterns of internalizing/externalizing trajectories. However, despite both domains of problems showing strong heritability, no study has yet considered genetic risks as predictors of joint internalizing/externalizing problem trajectories. METHODS Using parallel process latent class growth analysis, we estimated joint developmental trajectories of internalizing and externalizing difficulties assessed across ages 4 to 16 using the Strengths and Difficulties Questionnaire. Multinomial logistic regression was used to evaluate a range of demographic, perinatal, maternal mental health, and child and maternal polygenic predictors of group membership. Participants included 11,049 children taking part in the Avon Longitudinal Study of Parents and Children. Polygenic data were available for 7,127 children and 6,836 mothers. RESULTS A 5-class model was judged optimal: Unaffected, Moderate Externalizing Symptoms, High Externalizing Symptoms, Moderate Internalizing and Externalizing Symptoms and High Internalizing and Externalizing Symptoms. Male sex, lower maternal age, maternal mental health problems, maternal smoking during pregnancy, higher child polygenic risk scores for ADHD and lower polygenic scores for IQ distinguished affected classes from the unaffected class. CONCLUSIONS While affected classes could be relatively well separated from the unaffected class, phenotypic and polygenic predictors were limited in their ability to distinguish between different affected classes. Results thus add to existing evidence that internalizing and externalizing problems have mostly shared risk factors.
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Affiliation(s)
- Lydia Gabriela Speyer
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Cambridge, Cambridge, UK
| | - Samuel Neaves
- Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Gibran Hemani
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Michael Vincent Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Bonnie Auyeung
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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17
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Lahey BB, Tong L, Pierce B, Hedeker D, Berman MG, Cardenas-Iniguez C, Moore TM, Applegate B, Tiemeier H, Kaczkurkin AN. Associations of polygenic risk for attention-deficit/hyperactivity disorder with general and specific dimensions of childhood psychological problems and facets of impulsivity. J Psychiatr Res 2022; 152:187-193. [PMID: 35752070 PMCID: PMC10001434 DOI: 10.1016/j.jpsychires.2022.06.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/07/2022] [Accepted: 06/10/2022] [Indexed: 11/24/2022]
Abstract
A polygenic risk score (PRS) for attention-deficit/hyperactivity disorder (ADHD) has been found to be associated with ADHD in multiple studies, but also with many other dimensions of problems. Little is known, however, about the processes underlying these transdiagnostic associations. Using data from the baseline and 1-year follow-up assessments of 9- to 10-year-old children in the Adolescent Brain Cognitive Development™ (ABCD©) Study, associations were assessed between an ADHD PRS and both general and specific factors of psychological problems defined in bifactor modeling. Additionally, prospective mediated paths were tested from the ADHD PRS to dimensions of problems in the follow-up assessment through baseline measures of executive functioning (EF) and two facets of impulsivity: lower perseverance and greater impulsiveness in the presence of surgent positive emotions. Previous findings of modest but significant direct associations of the ADHD PRS with the general factor of psychological problems were replicated in both assessments in 4,483 children of European ancestry. In addition, significant statistical mediation was found from the ADHD PRS to the general factor, specific ADHD, and conduct problems in the follow-up assessment through each of the two facets of impulsivity. In contrast, EF did not statistically mediate associations between the ADHD PRS and psychological problems. These results suggest that polygenic risk transdiagnostically influences both psychological problems and facets of impulsivity, perhaps partly through indirect pathways via facets of impulsivity.
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Affiliation(s)
- Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA.
| | - Lin Tong
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Brandon Pierce
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Donald Hedeker
- Department of Public Health Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL, 60637, USA
| | - Marc G Berman
- Department of Psychology, University of Chicago, 5848 S University Ave, Chicago, IL, 60637, USA.
| | - Carlos Cardenas-Iniguez
- Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania School of Medicine, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
| | - Brooks Applegate
- Department of Educational Leadership, Research & Technology, Western Michigan University, 1903 West Michigan Avenue, Kalamazoo, MI, 49008, USA.
| | - Henning Tiemeier
- Chan School of Public Health, Harvard University, 677 Huntington Avenue, Boston, MA, 02215, USA.
| | - Antonia N Kaczkurkin
- Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN, 37240-7817, USA.
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18
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Pat N, Riglin L, Anney R, Wang Y, Barch DM, Thapar A, Stringaris A. Motivation and Cognitive Abilities as Mediators Between Polygenic Scores and Psychopathology in Children. J Am Acad Child Adolesc Psychiatry 2022; 61:782-795.e3. [PMID: 34506929 DOI: 10.1016/j.jaac.2021.08.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 07/23/2021] [Accepted: 08/31/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Fundamental questions in biological psychiatry concern the mechanisms that mediate between genetic liability and psychiatric symptoms. Genetic liability for many common psychiatric disorders often confers transdiagnostic risk to develop a wide variety of psychopathological symptoms through yet unknown pathways. This study examined the psychological and cognitive pathways that might mediate the relationship between genetic liability (indexed by polygenic scores; PS) and broad psychopathology (indexed by p factor and its underlying dimensions). METHOD First, which of the common psychiatric PSs (major depressive disorder [MDD], attention-deficit/hyperactivity disorder [ADHD], anxiety, bipolar disorder, schizophrenia, autism) that were associated with p factor were identified. Then focused was shifted to 3 pathways: punishment sensitivity (reflected by behavioral inhibition system), reward sensitivity (reflected by behavioral activation system), and cognitive abilities (reflected by g factor based on 10 neurocognitive tasks). We applied structural equation modeling on the Adolescent Brain Cognitive Development (ABCD) Study dataset (n = 4,814; 2,263 girls; 9-10 years old). RESULTS MDD and ADHD PSs were associated with p factor. The association between MDD PS and psychopathology was partially mediated by punishment sensitivity and cognitive abilities (proportion mediated = 22.35%). Conversely, the influence of ADHD PS on psychopathology was partially mediated by reward sensitivity and cognitive abilities (proportion mediated = 30.04%). The mediating role of punishment sensitivity was specific to emotional/internalizing. The mediating role of both reward sensitivity and cognitive abilities was specific to behavioral/externalizing and neurodevelopmental dimensions of psychopathology. CONCLUSION This study provides a better understanding of how genetic risks for MDD and ADHD confer risks for psychopathology and suggests potential prevention/intervention targets for children at risk.
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Affiliation(s)
- Narun Pat
- University of Otago, Dunedin, New Zealand.
| | | | | | - Yue Wang
- University of Otago, Dunedin, New Zealand
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19
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Akingbuwa WA, Hammerschlag AR, Bartels M, Middeldorp CM. Systematic Review: Molecular Studies of Common Genetic Variation in Child and Adolescent Psychiatric Disorders. J Am Acad Child Adolesc Psychiatry 2022; 61:227-242. [PMID: 33932494 DOI: 10.1016/j.jaac.2021.03.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 03/08/2021] [Accepted: 03/19/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE A systematic review of studies using molecular genetics and statistical approaches to investigate the role of common genetic variation in the development, persistence, and comorbidity of childhood psychiatric traits was conducted. METHOD A literature review was performed using the PubMed database, following PRISMA guidelines. There were 131 studies meeting inclusion criteria, having investigated at least one type of childhood-onset or childhood-measured psychiatric disorder or trait with the aim of identifying trait-associated common genetic variants, estimating the contribution of single nucleotide polymorphisms (SNPs) to the amount of variance explained (SNP-based heritability), investigating genetic overlap between psychiatric traits, or investigating whether the stability in traits or the association with adult traits is explained by genetic factors. RESULTS The first robustly associated genetic variants have started to be identified for childhood psychiatric traits. There were substantial contributions of common genetic variants to many traits, with variation in single nucleotide polymorphism heritability estimates depending on age and raters. Moreover, genetic variants also appeared to explain comorbidity as well as stability across a range of psychiatric traits in childhood and across the life span. CONCLUSION Common genetic variation plays a substantial role in childhood psychiatric traits. Increased sample sizes will lead to increased power to identify genetic variants and to understand genetic architecture, which will ultimately be beneficial to targeted and prevention strategies. This can be achieved by harmonizing phenotype measurements, as is already proposed by large international consortia and by including the collection of genetic material in every study.
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Affiliation(s)
- Wonuola A Akingbuwa
- Ms. Akingbuwa, Dr. Hammerschlag, and Profs. Bartels and Middeldorp are with Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Ms. Akingbuwa, Dr. Hammerschlag, and Prof. Bartels are also with Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
| | - Anke R Hammerschlag
- Ms. Akingbuwa, Dr. Hammerschlag, and Profs. Bartels and Middeldorp are with Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Ms. Akingbuwa, Dr. Hammerschlag, and Prof. Bartels are also with Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, The Netherlands; Dr. Hammerschlag and Prof. Middeldorp are also with the Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
| | - Meike Bartels
- Ms. Akingbuwa, Dr. Hammerschlag, and Profs. Bartels and Middeldorp are with Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Ms. Akingbuwa, Dr. Hammerschlag, and Prof. Bartels are also with Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Ms. Akingbuwa, Dr. Hammerschlag, and Profs. Bartels and Middeldorp are with Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Dr. Hammerschlag and Prof. Middeldorp are also with the Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia; Prof. Middeldorp is also with the Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Services, Brisbane, Queensland, Australia
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20
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Karcher NR, Paul SE, Johnson EC, Hatoum AS, Baranger DAA, Agrawal A, Thompson WK, Barch DM, Bogdan R. Psychotic-like Experiences and Polygenic Liability in the Adolescent Brain Cognitive Development Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:45-55. [PMID: 34271214 PMCID: PMC8786267 DOI: 10.1016/j.bpsc.2021.06.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/01/2021] [Accepted: 06/28/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND Childhood psychotic-like experiences (PLEs) often precede the development of later severe psychopathology. This study examined whether childhood PLEs are associated with several psychopathology-related polygenic scores (PGSs) and additionally examined possible neural and behavioral mechanisms. METHODS Adolescent Brain Cognitive Development Study baseline data from children with European ancestry (n = 4650, ages 9-10 years, 46.8% female) were used to estimate associations between PLEs (i.e., both total and presence of significantly distressing) and PGSs for psychopathology (i.e., schizophrenia, psychiatric cross-disorder risk, PLEs) and related phenotypes (i.e., educational attainment [EDU], birth weight, inflammation). We also assessed whether variability in brain structure indices (i.e., volume, cortical thickness, surface area) and behaviors proximal to PGSs (e.g., cognition for EDU) indirectly linked PGSs to PLEs using mediational models. RESULTS Total and significantly distressing PLEs were associated with EDU and cross-disorder PGSs (all %ΔR2s = 0.202%-0.660%; false discovery rate-corrected ps < .006). Significantly distressing PLEs were also associated with higher schizophrenia and PLE PGSs (both %ΔR2 = 0.120%-0.216%; false discovery rate-corrected ps < .03). There was evidence that global brain volume metrics and cognitive performance indirectly linked EDU PGS to PLEs (estimated proportion mediated = 3.33%-32.22%). CONCLUSIONS Total and significantly distressing PLEs were associated with genomic risk indices of broad-spectrum psychopathology risk (i.e., EDU and cross-disorder PGSs). Significantly distressing PLEs were also associated with genomic risk for psychosis (i.e., schizophrenia, PLEs). Global brain volume metrics and PGS-proximal behaviors represent promising putative intermediary phenotypes that may indirectly link genomic risk to psychopathology. Broadly, polygenic scores derived from genome-wide association studies of adult samples generalize to indices of psychopathology risk among children.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
| | - Sarah E Paul
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Alexander S Hatoum
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - David A A Baranger
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Wesley K Thompson
- Population Neuroscience and Genetics Laboratory, University of California San Diego, San Diego, California
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri
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21
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Baginski BN, Byrne KA, Demosthenes L, Roth PJ. Examining Internalizing Mental Health Correlates of Addiction Severity in Patients Hospitalized With Medical Complications From Substance Use Disorder. Subst Abuse 2022; 16:11782218221115583. [PMID: 35990751 PMCID: PMC9382059 DOI: 10.1177/11782218221115583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 07/06/2022] [Indexed: 11/16/2022]
Abstract
Background: Comorbidities between Substance Use Disorder (SUD) and mental health
disorders are highly prevalent, yet there remains a lack of information
regarding how mental health conditions may affect addiction severity.
Consequently, this study sought to investigate the relationship between
internalizing disorders (anxiety and mood disorders) and addiction severity
in patients hospitalized for SUD-related medical complications. Individual
difference predictors and history of prior treatment for SUD were also
examined. Methods: Participants (N = 200) were hospitalized patients who consented to receive
peer-based recovery support services for their SUD. To be eligible for the
study, participants needed to have a SUD diagnosis due to alcohol, opioids,
methamphetamine, cocaine, or a combination of these substances
(polysubstance use). Participants completed self-report questionnaires
regarding demographics, mental health history, prior SUD treatment, and
addiction severity (Drug and Alcohol Screening Test; DAST-10) during their
hospitalization. Results: Results showed that patients with Generalized Anxiety Disorder (GAD)
(M = 6.68, SD = 2.97) had greater addiction severity
compared to those without GAD (M = 5.41, SD = 3.34),
P = .016. Addiction severity results stratified by SUD
type showed that the relationship was significant among patients with
Alcohol Use Disorder (P = .014), but not among those with
other SUD types (Ps > .27). Major Depressive Disorder
(MDD) and Post-Traumatic Stress Disorder (PTSD) were not linked to addiction
severity. Among those with GAD, 81.4% had previously been to treatment
compared to only 53.1% of those without GAD, P = .010. The
only participant characteristic linked with addiction severity was insurance
status. Conclusions: GAD may represent a risk factor for advanced alcohol addiction trajectories,
including greater addiction severity and severe health complications
requiring inpatient hospitalization.
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Affiliation(s)
- Bryana N Baginski
- University of South Carolina School of Medicine Greenville, Greenville, SC, USA
| | | | - Lauren Demosthenes
- Department of Obstetrics and Gynecology, Prisma Health-Upstate, Greenville, SC, USA
| | - Prerana J Roth
- Department of Internal Medicine, Prisma Health-Upstate, Greenville, SC, USA
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22
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Brikell I, Burton C, Mota NR, Martin J. Insights into attention-deficit/hyperactivity disorder from recent genetic studies. Psychol Med 2021; 51:2274-2286. [PMID: 33814023 DOI: 10.1017/s0033291721000982] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder (NDD). In this narrative review, we summarize recent advances in quantitative and molecular genetic research from the past 5-10 years. Combined with large-scale international collaboration, these advances have resulted in fast-paced progress in understanding the etiology of ADHD and how genetic risk factors map on to clinical heterogeneity. Studies are converging on a number of key insights. First, ADHD is a highly polygenic NDD with a complex genetic architecture encompassing risk variants across the spectrum of allelic frequencies, which are implicated in neurobiological processes. Second, genetic studies strongly suggest that ADHD diagnosis shares a large proportion of genetic risks with continuously distributed traits of ADHD in the population, with shared genetic risks also seen across development and sex. Third, ADHD genetic risks are shared with those implicated in many other neurodevelopmental, psychiatric and somatic phenotypes. As sample sizes and the diversity of genetic studies continue to increase through international collaborative efforts, we anticipate further success with gene discovery, characterization of how the ADHD phenotype relates to other human traits and growing potential to use genomic risk factors for understanding clinical trajectories and for precision medicine approaches.
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Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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23
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Ronald A, de Bode N, Polderman TJC. Systematic Review: How the Attention-Deficit/Hyperactivity Disorder Polygenic Risk Score Adds to Our Understanding of ADHD and Associated Traits. J Am Acad Child Adolesc Psychiatry 2021; 60:1234-1277. [PMID: 33548493 PMCID: PMC11164195 DOI: 10.1016/j.jaac.2021.01.019] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 01/04/2021] [Accepted: 01/28/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate, by systematically reviewing the literature, whether the attention-deficit/hyperactivity disorder (ADHD) polygenic risk score (PRS) associates with ADHD and related traits in independent clinical and population samples. METHOD PubMed, Embase and PsychoInfo were systematically searched, alongside study bibliographies. Quality assessments were conducted, and a best-evidence synthesis was applied. Studies were excluded when the predictor was not based on the latest ADHD genome-wide association study, when PRS was not based on genome-wide results, or when the study was a review. Initially, 197 studies were retrieved (February 22, 2020), and a second search (June 3, 2020) yielded a further 49 studies. From both searches, 57 studies were eligible, and 44 studies met inclusion criteria. RESULTS Included studies were published in the last 3 years. Over 80% of the studies were rated excellent, based on a standardized quality assessment. Evidence of associations between ADHD PRS and the following categories was strong: ADHD, ADHD traits, brain structure, education, externalizing behaviors, neuropsychological constructs, physical health, and socioeconomic status. Evidence for associations with addiction, autism, and mental health were mixed and were, so far, inconclusive. Odds ratios for PRS associating with ADHD ranged from 1.22% to 1.76%; variance explained in dimensional assessments of ADHD traits was 0.7% to 3.3%. CONCLUSION A new wave of high-quality research using the ADHD PRS has emerged. Eventually, symptoms may be partly identified based on PRS, but the current ADHD PRS is useful for research purposes only. This review shows that the ADHD PRS is robust and reliable, associating not only with ADHD but many outcomes and challenges known to be linked to ADHD.
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Affiliation(s)
| | - Nora de Bode
- Vrije Universiteit Amsterdam, the Netherlands, and Amsterdam UMC, the Netherlands
| | - Tinca J C Polderman
- Vrije Universiteit Amsterdam, the Netherlands, and Amsterdam UMC, the Netherlands.
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24
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Levy Y. Commentary: Time to reconceptualize ASD? comments on Happe and Frith (2020) and Sonuga-Barke (2020). J Child Psychol Psychiatry 2021; 62:1042-1044. [PMID: 33118612 DOI: 10.1111/jcpp.13345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/19/2020] [Accepted: 10/07/2020] [Indexed: 11/26/2022]
Abstract
Happe and Frith (2020) list seven changes in the concept of autism that have taken place since the 80s when autism became the focus of clinical concerns and research interests. These dramatic changes, supported by additional research results, have not convinced Sonuga-Barke (2020) that a Kuhnian revolution in psychiatric nosology may be at our front door. This commentary will discuss this conclusion, calling on ASD researchers to re-evaluate the benefits of a paradigm shift in the nosology of ASD.
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Affiliation(s)
- Yonata Levy
- Department of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel
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25
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Introduction to the Special Issue on 'The Genetic Architecture of Neurodevelopmental Disorders'. Behav Genet 2021; 50:185-190. [PMID: 32632490 DOI: 10.1007/s10519-020-10007-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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26
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Lynch SJ, Sunderland M, Newton NC, Chapman C. A systematic review of transdiagnostic risk and protective factors for general and specific psychopathology in young people. Clin Psychol Rev 2021; 87:102036. [PMID: 33992846 DOI: 10.1016/j.cpr.2021.102036] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/30/2021] [Accepted: 05/05/2021] [Indexed: 12/12/2022]
Abstract
A large body of research has emerged over the last decade examining empirical models of general and specific psychopathology, which take into account comorbidity among psychiatric disorders and enable investigation of risk and protective factors that are common across disorders. This systematic review presents findings from studies of empirical models of psychopathology and transdiagnostic risk and protective factors for psychopathology among young people (10-24 years). PsycInfo, Medline and EMBASE were searched from inception to November 2020, and 41 studies were identified that examined at least one risk or protective factor in relation to broad, empirically derived, psychopathology outcomes. Results revealed several biological (executive functioning deficits, earlier pubertal timing, genetic risk for ADHD and schizophrenia, reduced gray matter volume), socio-environmental (stressful life events, maternal depression) and psychological (low effortful control, high neuroticism, negative affectivity) transdiagnostic risk factors for broad psychopathology outcomes, including general psychopathology, internalising and externalising. Methodological complexities are discussed and recommendations for future studies of empirical models of psychopathology are presented. These results contribute to a growing body of support for transdiagnostic approaches to prevention and intervention for psychiatric disorders and highlight several promising avenues for future research.
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Affiliation(s)
- Samantha J Lynch
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia.
| | - Matthew Sunderland
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Nicola C Newton
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Cath Chapman
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
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27
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Stanton K, DeLucia EA, Brown MFD, McDonnell CG. Advancing understanding of the classification of broad autism phenotype and attention-deficit/hyperactivity disorder symptom dimensions within the Hierarchical Taxonomy of Psychopathology. Personal Ment Health 2021; 15:113-123. [PMID: 33225627 DOI: 10.1002/pmh.1498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 10/29/2020] [Accepted: 11/03/2020] [Indexed: 12/20/2022]
Abstract
Research on personality and psychopathology associations has informed the classification of many symptom dimensions within the Hierarchical Taxonomy of Psychopathology (HiTOP). However, classification of symptom dimensions defining autism and attention-deficit/hyperactivity disorder (ADHD) within the HiTOP framework remains unclear in many ways. To address this issue, we examined the joint factor structure of (a) measures assessing characteristics relevant to ADHD and autism and (b) normal range personality traits in a sample of 547 adults recruited from Amazon Mechanical Turk, many of whom reported elevated autism-relevant and ADHD-relevant characteristics. We also examined how factors identified in these analyses correlated with measures of internalizing symptoms and select externalizing traits. Our results indicated that some measures assessing autism-relevant and ADHD-relevant characteristics (e.g. communication issues, hyperactivity/impulsivity) defined a distinct Attention and Communication Difficulties factor, with scores on this factor correlating strongly with internalizing symptom ratings. However, other relevant characteristics such as aloofness may be indicators of existing HiTOP spectra such as detachment. We discuss how these findings inform classification of autism-relevant and ADHD-relevant characteristics within the HiTOP, as well as key future directions for extending the limited research in this area.
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Affiliation(s)
- Kasey Stanton
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.,Department of Psychology, Western University, London, Ontario, Canada
| | - Elizabeth A DeLucia
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
| | - Matthew F D Brown
- Department of Psychology, Western University, London, Ontario, Canada
| | - Christina G McDonnell
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
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28
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Riglin L, Leppert B, Langley K, Thapar AK, O'Donovan MC, Davey Smith G, Stergiakouli E, Tilling K, Thapar A. Investigating attention-deficit hyperactivity disorder and autism spectrum disorder traits in the general population: What happens in adult life? J Child Psychol Psychiatry 2021; 62:449-457. [PMID: 32663329 PMCID: PMC8365432 DOI: 10.1111/jcpp.13297] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/15/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are generally considered early-onset disorders so most research has therefore tended to focus on children. Differences between ADHD/ASD in adult life and childhood have been noted, but few population-based studies have examined them in adulthood. Furthermore, the interpretation of findings is hampered by changes in measure and from parent report to self-report. METHOD We examined continuous/trait measures of parent- and self-rated ADHD and ASD in adulthood (age 25 years) in a UK prospective longitudinal sample ALPSAC (the Avon Longitudinal Study of Parents and Children), using many of the same measures that parents reported on in childhood (N = 6,064). Our aim was to investigate these traits in this population for mean-level sex differences, overlaps with other cognitive, learning and communication problems and their associations with polygenic risk scores (PRS) for neuropsychiatric disorders (ADHD, ASD, schizophrenia, depression and anxiety). RESULTS ADHD and ASD traits in adulthood, as in childhood, showed associations with childhood cognitive, learning and communication problems and adult communication/language measures, although less so for self-ratings than parent-ratings. Males had higher ADHD and ASD trait levels, but this was not as marked as in childhood. In adulthood, ADHD (both parent- and self-rated) and ASD (parent-rated) symptoms showed associations with ADHD PRS; self-reported ADHD also showed association with depression PRS, whereas self-reported ASD did not show strong PRS associations. CONCLUSIONS Our findings suggest that in young adults, ADHD and ASD symptoms have similar characteristics as they do in childhood. Associations with other cognitive, learning and communication problems, and ADHD PRS were somewhat less pronounced for self-reported adult ADHD and ASD symptoms, suggesting that even at age 25, parent reports, where available, could be clinically useful.
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Affiliation(s)
- Lucy Riglin
- Division of Psychological Medicine and Clinical NeurosciencesMRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Beate Leppert
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK
| | - Kate Langley
- Division of Psychological Medicine and Clinical NeurosciencesMRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
- School of PsychologyCardiff UniversityCardiffUK
| | - Ajay K. Thapar
- Division of Psychological Medicine and Clinical NeurosciencesMRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Michael C. O'Donovan
- Division of Psychological Medicine and Clinical NeurosciencesMRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | | | | | - Kate Tilling
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK
| | - Anita Thapar
- Division of Psychological Medicine and Clinical NeurosciencesMRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
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29
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Hannigan LJ, Askeland RB, Ask H, Tesli M, Corfield E, Ayorech Z, Helgeland Ø, Magnus P, Njølstad PR, Øyen AS, Stoltenberg C, Andreassen OA, Davey Smith G, Reichborn-Kjennerud T, Havdahl A. Genetic Liability for Schizophrenia and Childhood Psychopathology in the General Population. Schizophr Bull 2021; 47:1179-1189. [PMID: 33561255 PMCID: PMC8266611 DOI: 10.1093/schbul/sbaa193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Genetic liability for schizophrenia is associated with psychopathology in early life. It is not clear if these associations are time dependent during childhood, nor if they are specific across different forms of psychopathology. Using genotype and questionnaire data on children (N = 15 105) from the Norwegian Mother, Father and Child Cohort Study, we used schizophrenia polygenic risk scores to test developmental stability in associations with measures of emotional and behavioral problems between 18 months and 5 years, and domain specificity in associations with symptoms of depression, anxiety, conduct problems, oppositionality, inattention, and hyperactivity at 8 years. We then sought to identify symptom profiles-across development and domains-associated with schizophrenia polygenic liability. We found evidence for developmental stability in associations between schizophrenia polygenic risk scores and emotional and behavioral problems, with the latter being mediated specifically via the rate of change in symptoms (β slope = 0.032; 95% CI: 0.007-0.057). At age 8, associations were better explained by a model of symptom-specific polygenic effects rather than effects mediated via a general psychopathology factor or by domain-specific factors. Overall, individuals with higher schizophrenia polygenic risk scores were more likely (OR = 1.310 [95% CIs: 1.122-1.528]) to have a profile of increasing behavioral and emotional symptoms in early childhood, followed by elevated symptoms of conduct disorder, oppositionality, hyperactivity, and inattention by age 8. Schizophrenia-associated alleles are linked to specific patterns of early-life psychopathology. The associations are small, but findings of this nature can help us better understand the developmental emergence of schizophrenia.
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Affiliation(s)
- Laurie J Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK,To whom correspondence should be addressed; e-mail:
| | - Ragna Bugge Askeland
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Helga Ask
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Martin Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elizabeth Corfield
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Ziada Ayorech
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Helgeland
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway,Department of Genetics and Bioinformatics, Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway,Institute of Health and Society, University of Oslo, Norway
| | - Pål Rasmus Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway,Department of Pediatrics and Adolescents, Haukeland University Hospital, Bergen, Norway
| | - Anne-Siri Øyen
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,Norwegian Institute of Public Health, Oslo, Norway
| | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexandra Havdahl
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway,MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK,Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway,Promenta Research Center, Department of Psychology, University of Oslo, Oslo, Norway
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30
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Rijlaarsdam J, Cecil CAM, Buil JM, van Lier PAC, Barker ED. Exposure to Bullying and General Psychopathology: A Prospective, Longitudinal Study. Res Child Adolesc Psychopathol 2021; 49:727-736. [PMID: 33481128 PMCID: PMC8096758 DOI: 10.1007/s10802-020-00760-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2020] [Indexed: 01/22/2023]
Abstract
Although there is mounting evidence that the experience of being bullied associates with both internalizing and externalizing symptoms, it is not known yet whether the identified associations are specific to these symptoms, or shared between them. The primary focus of this study is to assess the prospective associations of bullying exposure with both general and specific (i.e., internalizing, externalizing) factors of psychopathology. This study included data from 6,210 children participating in the Avon Longitudinal Study of Parents and Children (ALSPAC). Child bullying was measured by self-report at ages 8 and 10 years. Child psychopathology symptoms were assessed by parent-interview, using the Development and Well-being Assessment (DAWBA) at ages 7 and 13 years. Bullying exposure significantly associated with the general psychopathology factor in early adolescence. In particular, chronically victimized youth exposed to multiple forms of bullying (i.e., both overt and relational) showed higher levels of general psychopathology. Bullying exposure also associated with both internalizing and externalizing factors from the correlated-factors model. However, the effect estimates for these factors decreased considerably in size and dropped to insignificant for the internalizing factor after extracting the shared variance that belongs to the general factor of psychopathology. Using an integrative longitudinal model, we found that higher levels of general psychopathology at age 7 also associated with bullying exposure at age 8 which, in turn, associated with general psychopathology at age 13 through its two-year continuity. Findings suggest that exposure to bullying is a risk factor for a more general vulnerability to psychopathology.
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Affiliation(s)
- Jolien Rijlaarsdam
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus MC-University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, the Netherlands.
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus MC-University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - J Marieke Buil
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pol A C van Lier
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Edward D Barker
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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31
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Du Rietz E, Pettersson E, Brikell I, Ghirardi L, Chen Q, Hartman C, Lichtenstein P, Larsson H, Kuja-Halkola R. Overlap between attention-deficit hyperactivity disorder and neurodevelopmental, externalising and internalising disorders: separating unique from general psychopathology effects. Br J Psychiatry 2021; 218:35-42. [PMID: 32892757 DOI: 10.1192/bjp.2020.152] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Although attention-deficit hyperactivity disorder (ADHD) is classified as a neurodevelopmental disorder in the latest diagnostic manuals, it shows phenotypic and genetic associations of similar magnitudes across neurodevelopmental, externalising and internalising disorders. AIMS To investigate if ADHD is aetiologically more closely related to neurodevelopmental than externalising or internalising disorder clusters, after accounting for a general psychopathology factor. METHOD Full and maternal half-sibling pairs (N = 774 416), born between 1980 and 1995, were identified from the Swedish Medical Birth and Multi-Generation Registers, and ICD diagnoses were obtained from the Swedish National Patient Register. A higher-order confirmatory factor analytic model was fitted to examine associations between ADHD and a general psychopathology factor, as well as a neurodevelopmental, externalising and internalising subfactor. Quantitative genetic modelling was performed to estimate the extent to which genetic, shared and non-shared environmental effects influenced the associations with ADHD. RESULTS ADHD was significantly and strongly associated with all three factors (r = 0.67-0.75). However, after controlling for a general psychopathology factor, only the association between ADHD and the neurodevelopmental-specific factor remained moderately strong (r = 0.43, 95% CI = 0.42-0.45) and was almost entirely influenced by genetic effects. In contrast, the association between ADHD and the externalising-specific factor was smaller (r = 0.25, 95% CI = 0.24-0.27), and largely influenced by non-shared environmental effects. There remained no internalising-specific factor after accounting for a general factor. CONCLUSIONS Findings suggest that ADHD comorbidity is largely explained by genetically influenced general psychopathology, but the strong link between ADHD and other neurodevelopmental disorders is also substantially driven by unique genetic influences.
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Affiliation(s)
- Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Erik Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Isabell Brikell
- The National Centre for Register-based Research, Department of Economics and Business Economics, Business and Social Science, Aarhus University, Denmark
| | - Laura Ghirardi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Catharina Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Örebro University; and Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
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Hettema JM, Bourdon JL, Sawyers C, Verhulst B, Brotman MA, Leibenluft E, Pine DS, Roberson-Nay R. Genetic and environmental risk structure of internalizing psychopathology in youth. Depress Anxiety 2020; 37:540-548. [PMID: 32369878 PMCID: PMC7656112 DOI: 10.1002/da.23024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 03/17/2020] [Accepted: 04/19/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Internalizing disorders (IDs), consisting of syndromes of anxiety and depression, are common, debilitating conditions often beginning early in life. Various trait-like psychological constructs are associated with IDs. Our prior analysis identified a tripartite model of Fear/Anxiety, Dysphoria, and Positive Affect among symptoms of anxiety and depression and the following constructs in youth: anxiety sensitivity, fearfulness, behavioral activation and inhibition, irritability, neuroticism, and extraversion. The current study sought to elucidate their overarching latent genetic and environmental risk structure. METHODS The sample consisted of 768 juvenile twin subjects ages 9-14 assessed for the nine, abovementioned measures. We compared two multivariate twin models of this broad array of phenotypes. RESULTS A hypothesis-driven, common pathway twin model reflecting the tripartite structure of the measures were fit to these data. However, an alternative independent pathway model provided both a better fit and more nuanced insights into their underlying genetic and environmental risk factors. CONCLUSIONS Our findings suggest a complex latent genetic and environmental structure to ID phenotypes in youth. This structure, which incorporates both clinical symptoms and various psychological traits, informs future phenotypic approaches for identifying specific genetic and pathophysiological mechanisms underlying ID risk.
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Affiliation(s)
- John M. Hettema
- Department of Psychiatry, Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia,Department of Psychiatry, Texas A&M Health Science Center, Bryan, Texas
| | - Jessica L. Bourdon
- Department of Psychiatry, Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia,Department of Psychiatry, Brown School of Social Work, Washington University, St. Louis, Missouri
| | - Chelsea Sawyers
- Department of Psychiatry, Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Brad Verhulst
- Department of Psychiatry, Texas A&M Health Science Center, Bryan, Texas
| | - Melissa A. Brotman
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Daniel S. Pine
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland
| | - Roxann Roberson-Nay
- Department of Psychiatry, Virginia Institute for Psychiatry and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
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