1
|
Zhang X, Grove J, Gu Y, Buus CK, Nielsen LK, Neufeld SAS, Koko M, Malawsky DS, Wade E, Verhoef E, Gui A, Hegemann L, Geschwind DH, Wray NR, Havdahl A, Ronald A, Pourcain BS, Robinson EB, Bourgeron T, Baron-Cohen S, Børglum AD, Martin HC, Warrier V. An axis of genetic heterogeneity in autism is indexed by age at diagnosis and is associated with varying developmental and mental health profiles. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.31.24311279. [PMID: 39132493 PMCID: PMC11312648 DOI: 10.1101/2024.07.31.24311279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
There is growing recognition that earliest signs of autism need not clearly manifest in the first three years of life. To what extent is this variation in developmental trajectories associated with age at autism diagnosis? Does the genetic profile of autism vary with age at autism diagnosis? Using longitudinal data from four birth cohorts, we demonstrate that two different trajectories of socio-emotional behaviours are associated with age at diagnosis. We further demonstrate that the age at autism diagnosis is partly heritable (h 2 SNP = 0.12, s.e.m = 0.01), and is associated with two moderately correlated (r g = 0.38, s.e.m = 0.07) autism polygenic factors. One of these factors is associated with earlier diagnosis of autism, lower social and communication abilities in early childhood. The second factor is associated with later autism diagnosis, increased socio-emotional difficulties in adolescence, and has moderate to high positive genetic correlations with Attention-Deficit/Hyperactivity Disorder, mental health conditions, and trauma. Overall, our research identifies an axis of heterogeneity in autism, indexed by age at diagnosis, which partly explains heterogeneity in autism and the profiles of co-occurring neurodevelopmental and mental health profiles. Our findings have important implications for how we conceptualise autism and provide one model to explain some of the diversity within autism.
Collapse
|
2
|
Bowler A, Arichi T, Austerberry C, Fearon P, Ronald A. A Systematic Review and Meta-Analysis of the Associations Between Motor Milestone Timing and Motor Development in Neurodevelopmental Conditions. Neurosci Biobehav Rev 2024:105825. [PMID: 39067834 DOI: 10.1016/j.neubiorev.2024.105825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 07/16/2024] [Accepted: 07/21/2024] [Indexed: 07/30/2024]
Abstract
Early motor skills may be important early markers of neurodevelopmental conditions or predictors of their later onset. To explore this, we conducted a systematic review and meta-analysis of infant motor skill assessments in those who go on to gain a clinical diagnosis of autism, attention deficit hyperactivity disorder (ADHD), schizophrenia, language conditions, tic disorders, or developmental coordination disorder (DCD). In total, 65 articles met inclusion criteria. Three three-level meta-analyses were run. Meta-analysis of milestone achievement in N=21354 individuals revealed gross motor milestones were significantly delayed compared to controls (g= 0.53, p< 0.001). Subgroup analyses revealed autism (g= 0.63) and DCD (g= 0.53) had the highest magnitude delays. Specific delays were revealed for holding the head up (g= 0.21), sitting (g= 0.28), standing (g= 0.35), crawling (g=0.19), and walking (g= 0.71). Meta-analyses of standardised motor skill measurements in N=1976 individuals revealed reduced performance compared to controls in autism and language conditions (g= -0.54, p< 0.001). Together, these findings demonstrate delayed milestone attainment and motor impairments in early childhood in neurodevelopmental conditions.
Collapse
Affiliation(s)
- Aislinn Bowler
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK.
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK; Paediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Chloe Austerberry
- Centre for Family Research, Department of Psychology, University of Cambridge, Cambridge, UK; Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Pasco Fearon
- Centre for Family Research, Department of Psychology, University of Cambridge, Cambridge, UK; Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK; School of Psychology, University of Surrey, Guildford, UK
| |
Collapse
|
3
|
Zhao S, Lv Q, Zhang G, Zhang J, Wang H, Zhang J, Wang M, Wang Z. Quantitative Expression of Latent Disease Factors in Individuals Associated with Psychopathology Dimensions and Treatment Response. Neurosci Bull 2024:10.1007/s12264-024-01224-z. [PMID: 38842612 DOI: 10.1007/s12264-024-01224-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/02/2024] [Indexed: 06/07/2024] Open
Abstract
Psychiatric comorbidity is common in symptom-based diagnoses like autism spectrum disorder (ASD), attention/deficit hyper-activity disorder (ADHD), and obsessive-compulsive disorder (OCD). However, these co-occurring symptoms mediated by shared and/or distinct neural mechanisms are difficult to profile at the individual level. Capitalizing on unsupervised machine learning with a hierarchical Bayesian framework, we derived latent disease factors from resting-state functional connectivity data in a hybrid cohort of ASD and ADHD and delineated individual associations with dimensional symptoms based on canonical correlation analysis. Models based on the same factors generalized to previously unseen individuals in a subclinical cohort and one local OCD database with a subset of patients undergoing neurosurgical intervention. Four factors, identified as variably co-expressed in each patient, were significantly correlated with distinct symptom domains (r = -0.26-0.53, P < 0.05): behavioral regulation (Factor-1), communication (Factor-2), anxiety (Factor-3), adaptive behaviors (Factor-4). Moreover, we demonstrated Factor-1 expressed in patients with OCD and Factor-3 expressed in participants with anxiety, at the degree to which factor expression was significantly predictive of individual symptom scores (r = 0.18-0.5, P < 0.01). Importantly, peri-intervention changes in Factor-1 of OCD were associated with variable treatment outcomes (r = 0.39, P < 0.05). Our results indicate that these data-derived latent disease factors quantify individual factor expression to inform dimensional symptom and treatment outcomes across cohorts, which may promote quantitative psychiatric diagnosis and personalized intervention.
Collapse
Affiliation(s)
- Shaoling Zhao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China
- University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Qian Lv
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China
| | - Ge Zhang
- Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, 450003, China
| | - Jiangtao Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Heqiu Wang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Jianmin Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, 450003, China.
| | - Zheng Wang
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| |
Collapse
|
4
|
Chessa A, Sentissi O. [ICD-11: New revision and impact of this classification in psychiatry]. L'ENCEPHALE 2024; 50:329-338. [PMID: 38092593 DOI: 10.1016/j.encep.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/26/2023] [Accepted: 10/27/2023] [Indexed: 05/31/2024]
Abstract
OBJECTIVES After more than 20 years of work, the World Health Organization's efforts have culminated in the adoption of the 11th revision of the International Classification of Diseases (ICD-11). The process has been guided by the principles of global applicability, scientific validity, and clinical utility. The update of the chapter on mental, behavioral, and neurodevelopmental disorders (MBND) within the ICD-11 has generated widespread interest worldwide. This has raised various questions about the status of mental disorder nosology, changes to diagnostic guidelines, and the potential implications for clinical practice. METHODS We conducted a narrative analysis of the literature in four different languages to track the various stages of the ICD-11 revision and to highlight the major changes. We searched databases such as PubMed, EMBASE, MEDLINE, and Google Scholar, and consulted the official websites of the WHO, APA, and UNICEF. A total of 79 articles from 40 different editorials and websites were analyzed and included in this study. RESULTS The new chapters on mental disorders in the ICD-11 include 21 groups, as opposed to the 11 in the ICD-10. The changes aim to align the diagnoses with those of the DSM-5 and introduce a new chapter structure, new diagnostic categories, modifications to diagnostic criteria, and advancements in dimensionality. For the first time in the history of the ICD, sleep and wakefulness disorders, as well as disorders related to sexual health, have been addressed in separate chapters of the international classification. Four new diagnoses have been added: complex post-traumatic stress disorder (PTSD), gaming disorder, prolonged grief disorder, and compulsive sexual behavior which replaces "excessive sexual activity" in the ICD-10. Moreover, the ICD-11 revision has brought about a fundamental change in the clinical conceptualization of addictive behaviors, introducing a distinction between substance use disorders and addictive behaviors. The criteria for many existing conditions have been revised, particularly those related to bipolar disorders, eating disorders, and gender identity disorders. CONCLUSIONS The revision process for mental, behavioral, and neurodevelopmental disorders in the ICD-11 has witnessed unprecedented participation in the history of mental disorder classification. These changes could have a significant impact on clinical practice in psychiatry. However, it is crucial to examine the advantages and limitations of this new classification compared to previous versions.
Collapse
Affiliation(s)
- Ambra Chessa
- Département de psychiatrie, service de psychiatrie adulte, CAPPI jonction, hôpitaux universitaires Genève, 35, rue des Bains, 1205 Genève, Suisse
| | - Othman Sentissi
- Département de psychiatrie, service de psychiatrie adulte, CAPPI jonction, hôpitaux universitaires Genève, 35, rue des Bains, 1205 Genève, Suisse.
| |
Collapse
|
5
|
Bowler A, Arichi T, Fearon P, Meaburn E, Begum-Ali J, Pascoe G, Johnson MH, Jones EJH, Ronald A. Phenotypic and Genetic Associations Between Preschool Fine Motor Skills and Later Neurodevelopment, Psychopathology, and Educational Achievement. Biol Psychiatry 2024; 95:849-858. [PMID: 38043695 DOI: 10.1016/j.biopsych.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Fine motor skills are heritable and comprise important milestones in development, and some evidence suggests that impairments in fine motor skills are associated with neurodevelopmental conditions, psychiatric disorders, and poor educational outcomes. METHODS In a preregistered study of 9625 preschool children from TEDS (Twins Early Development Study), fine motor assessments (drawing, block building, folding, and questionnaires) were conducted at 2, 3, and 4 years of age. A cross-age fine motor score was derived using principal component analysis. Multivariate regression analysis was used to examine the relationships between the fine motor score and neurodevelopmental traits, psychopathology, and educational outcomes at 3 later ages (7-8, 12, and 16 years) and cross-age psychopathology composite scores. Polygenic scores (PGSs) were created for attention-deficit/hyperactivity disorder (ADHD), autism, schizophrenia, anxiety, major depressive disorder, obsessive-compulsive disorder, and years of education. We ran single-PGS models and a multi-PGS model. RESULTS Fine motor skills were negatively associated with neurodevelopmental traits and psychopathology across childhood and adolescence and positively associated with educational achievement in adolescence (β = 0.25, p < .001). Superior fine motor skills were associated with a higher years-of-education PGS (β = 0.07, p < .001), a lower ADHD PGS (β = -0.04, p = .011), and a higher anxiety PGS (β = 0.03, p = .040). Similarly, the multi-PGS model retained the PGSs for years of education (β = 0.07), ADHD (β = -0.03), and anxiety (β = 0.01). A non-preregistered analysis in an independent preschool sample replicated the ADHD PGS association, but not the years of education or anxiety PGS associations. CONCLUSIONS Fine motor skills are linked genetically and phenotypically to later neurodevelopment, psychopathology, and educational outcomes. Future work should investigate the mechanisms that underlie the role of fine motor development in later outcomes.
Collapse
Affiliation(s)
- Aislinn Bowler
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom.
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; Pediatric Neurosciences, Evelina London Children's Hospital, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Pasco Fearon
- Centre for Family Research, Department of Psychology, University of Cambridge, Cambridge, United Kingdom; Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Emma Meaburn
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Jannath Begum-Ali
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Greg Pascoe
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom; Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom; School of Psychology, University of Surrey, Guildford, United Kingdom
| |
Collapse
|
6
|
Moseley RL, Gregory NJ, Smith P, Allison C, Cassidy S, Baron-Cohen S. Potential Mechanisms Underlying Suicidality in Autistic People with Attention Deficit/Hyperactivity Disorder: Testing Hypotheses from the Interpersonal Theory of Suicide. AUTISM IN ADULTHOOD 2024; 6:9-24. [PMID: 38435325 PMCID: PMC10902282 DOI: 10.1089/aut.2022.0042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Background Autistic people with co-occurring attention deficit/hyperactivity disorder (ADHD) appear to be at heightened risk of suicide. To understand why, we explored two explanatory mechanisms from the interpersonal theory of suicide: first, that co-occurring ADHD might be associated with greater risk through greater thwarted belongingness and perceived burdensomeness and, secondly, that hyperactive/impulsive features might incur additional risk through their association with painful and provocative events, which are suggested to create "capability" for suicide. Methods Autistic adults (n = 314) completed an online survey including measures of thwarted belongingness, perceived burdensomeness, painful and provocative events, acquired capability for suicide, and ADHD features. Creating an overall index of likely ADHD, we examined associations between likely ADHD, suicide ideation, and lifetime suicide attempts through the parallel mediators of thwarted belongingness, perceived burdensomeness, anxiety, and depression. In several models, we then examined hyperactive, impulsive, and inattentive features as predictors of exposure to painful and provocative events and subsequent capability for suicide, and examined whether these two variables, sequentially or individually, mediated an association with lifetime suicide attempts. Results Likely ADHD was associated with past-year suicide ideation through greater depression and perceived burdensomeness, which also mediated its association with more suicide attempts. Hyperactive and impulsive features were associated with exposure to painful and provocative events and through this acquired suicide capability. Both features were associated with more numerous suicide attempts through these two mediators sequentially, and through exposure to painful and provocative events alone. Conclusions These data suggest that suicidality in autistic people with ADHD may be partially related to perceived burdensomeness and to acquired suicide capability after exposure to painful and provocative events. However, as we observed a pathway to suicidality associated with painful and provocative events alone, it is likely that there are also other explanatory mechanisms for the influence of traumatic events on suicide risk.
Collapse
Affiliation(s)
- Rachel L. Moseley
- Department of Psychology, Bournemouth University, Poole, United Kingdom
| | - Nicola J. Gregory
- Department of Psychology, Bournemouth University, Poole, United Kingdom
| | - Paula Smith
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Carrie Allison
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Sarah Cassidy
- School of Psychology, University of Nottingham, Nottingham, United Kingdom
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| |
Collapse
|
7
|
Wu D, Li Y, Chen L, Klein M, Franke B, Chen J, Buitelaar J. Maternal gestational weight gain and offspring's neurodevelopmental outcomes: A systematic review and meta-analysis. Neurosci Biobehav Rev 2023; 153:105360. [PMID: 37573899 DOI: 10.1016/j.neubiorev.2023.105360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
Abnormal gestational weight gain (GWG) has been increasing globally, up to 47% of all pregnancies. Multiple studies have focused on the association between GWG and adverse neurodevelopmental outcomes in the offspring, however with inconsistent results. We performed a systematic review and meta-analysis to evaluate associations between excessive or insufficient GWG and offspring's neurodevelopmental outcomes. Meta-analysis of these 23 studies using a random-effects model revealed associations between excessive GWG and neurodevelopmental disorders (ASD & ID & ADHD together: OR=1.12 [95% CI 1.06-1.19]), ASD (OR=1.18 [95% CI 1.08-1.29]), ADHD (OR=1.08 [95% CI 1.02-1.14]), ASD with ID (OR=1.15 [95% CI 1.01-1.32]), and ASD without ID (OR=1.12 [95% CI 1.06-1.19]). Insufficient GWG was associated with higher risk for ID (OR=1.14 [95% CI 1.03-1.26]). These results emphasize the significant impact, though of small effect size, of GWG across multiple neurodevelopmental disorders. It is important to note that these results do not establish causality. Other factors such as genetic factors, gene-environment interactions may confound the relationship between GWG and neurodevelopmental outcomes. To better understand the role of GWG in neurodevelopmental disorders, future studies should consider using genetically sensitive designs that can account for these potential confounders.
Collapse
Affiliation(s)
- Dan Wu
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Yicheng Li
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China
| | - Lingyan Chen
- Department of Occupational Therapy Sciences, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki-city, 852-8520, Japan
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands
| | - Jinjin Chen
- Department of Child Health Care, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, China.
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Centre, 6525 GA Nijmegen, the Netherlands
| |
Collapse
|
8
|
Deserno MK, Bathelt J, Groenman AP, Geurts HM. Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD. Eur Child Adolesc Psychiatry 2023; 32:1909-1923. [PMID: 35687205 PMCID: PMC10533623 DOI: 10.1007/s00787-022-01986-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 04/06/2022] [Indexed: 11/03/2022]
Abstract
The clinical validity of the distinction between ADHD and ASD is a longstanding discussion. Recent advances in the realm of data-driven analytic techniques now enable us to formally investigate theories aiming to explain the frequent co-occurrence of these neurodevelopmental conditions. In this study, we probe different theoretical positions by means of a pre-registered integrative approach of novel classification, subgrouping, and taxometric techniques in a representative sample (N = 434), and replicate the results in an independent sample (N = 219) of children (ADHD, ASD, and typically developing) aged 7-14 years. First, Random Forest Classification could predict diagnostic groups based on questionnaire data with limited accuracy-suggesting some remaining overlap in behavioral symptoms between them. Second, community detection identified four distinct groups, but none of them showed a symptom profile clearly related to either ADHD or ASD in neither the original sample nor the replication sample. Third, taxometric analyses showed evidence for a categorical distinction between ASD and typically developing children, a dimensional characterization of the difference between ADHD and typically developing children, and mixed results for the distinction between the diagnostic groups. We present a novel framework of cutting-edge statistical techniques which represent recent advances in both the models and the data used for research in psychiatric nosology. Our results suggest that ASD and ADHD cannot be unambiguously characterized as either two separate clinical entities or opposite ends of a spectrum, and highlight the need to study ADHD and ASD traits in tandem.
Collapse
Affiliation(s)
- M K Deserno
- Dutch Autism and ADHD Research Centre (d'Arc), Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
- Max Planck Institute for Human Development, Berlin, Germany.
| | - J Bathelt
- Dutch Autism and ADHD Research Centre (d'Arc), Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Royal Holloway, University of London, Egham, UK
| | - A P Groenman
- Dutch Autism and ADHD Research Centre (d'Arc), Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - H M Geurts
- Dutch Autism and ADHD Research Centre (d'Arc), Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Leo Kannerhuis, Amsterdam (Youz, Parnassiagroep), Amsterdam, The Netherlands
| |
Collapse
|
9
|
Heidari A, Motamed M, Rahimi Forushani A, Alaghband-Rad J. The Association Between Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Symptoms in Medical Students. J Nerv Ment Dis 2023; 211:453-459. [PMID: 37015108 DOI: 10.1097/nmd.0000000000001645] [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] [Indexed: 04/06/2023]
Abstract
ABSTRACT Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are the two most prevalent neurodevelopmental disorders affecting communication and behavior. The co-occurrence of these conditions is probable and can contribute to several challenges in adaptive functioning and academic achievement.In this cross-sectional study, 168 Iranian medical students (107 female, 61 male) studying at Tehran University of Medical Sciences in 2021 were enrolled. We administered the Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R) and Adult ADHD Self-Report Scale (ASRS) questionnaires online to assess different symptoms of ASD and ADHD in our sample. In this study, the RAADS-R was translated into Persian and validated for the first time in Iran.The correlation tests demonstrated a significant association between the total score and different subscales' scores of the RAADS-R and the total score and the two subscales' scores of the ASRS questionnaire (p < 0.001, 0.27 < Spearman correlation coefficient < 0.51). This study also illustrated a high prevalence of ASD and ADHD symptoms among the participants. Moreover, male respondents had a significantly higher prevalence of ASD symptoms (57.3% in males vs. 28.03% in females, p < 0.001).This study indicated that the distinct impairments in behavior and cognition attributed to ASD and ADHD could be common manifestations in medical students. Given that the co-occurrence of these disorders may lead to significant challenges in their professional life, the early diagnosis and subsequent support for medical students with co-occurring expressions of ASD and ADHD could be extremely helpful, as it could indirectly improve the medical services provided to patients by future physicians, leading to an improvement in public health.
Collapse
Affiliation(s)
| | | | | | - Javad Alaghband-Rad
- Department of Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
10
|
Mundy P. Research on social attention in autism and the challenges of the research domain criteria (RDoC) framework. Autism Res 2023; 16:697-712. [PMID: 36932883 DOI: 10.1002/aur.2910] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 02/22/2023] [Indexed: 03/19/2023]
Abstract
The fuzzy nature of categories of psychopathology, such as autism, leads to significant research challenges. Alternatively, focusing research on the study of a common set of important and well-defined psychological constructs across psychiatric conditions may make the fundamental etiological processes of psychopathology easier to discern and treat (Cuthbert, 2022). The development of the research domain criteria (RDoC) framework is designed to guide this new research approach (Insel et al., 2010). However, progress in research may be expected to continually refine and reorganize the understanding of the specifics of these mental processes (Cuthbert & Insel, 2013). Moreover, knowledge gleaned from the study of both normative and atypical development can be mutually informative in the evolution of our understanding of these fundamental processes. A case in point is the study of social attention. This Autism 101 commentary provides an educational summary of research over the last few decades indicates that social attention is major construct in the study of human social-cognitive development, autism and other forms of psychopathology. The commentary also describes how this research can inform the Social Process dimension of the RDoC framework.
Collapse
Affiliation(s)
- Peter Mundy
- School of Education, Department of Psychiatry and the MIND Institute, University of California at Davis, Davis, California, USA
| |
Collapse
|
11
|
Zhou A, Cao X, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. Common genetic risk factors in ASD and ADHD co-occurring families. Hum Genet 2023; 142:217-230. [PMID: 36251081 PMCID: PMC10177627 DOI: 10.1007/s00439-022-02496-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/10/2022] [Indexed: 12/01/2022]
Abstract
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two major neurodevelopmental disorders that frequently co-occur. However, the genetic mechanism of the co-occurrence remains unclear. The New Jersey Language and Autism Genetics Study (NJLAGS) collected more than 100 families with at least one member affected by ASD. NJLAGS families show a high prevalence of ADHD and provide a good opportunity to study shared genetic risk factors for ASD and ADHD. The linkage study of the NJLAGS families revealed regions on chromosomes 12 and 17 that are significantly associated with ADHD. Using whole-genome sequencing data on 272 samples from 73 NJLAGS families, we identified potential risk genes for ASD and ADHD. Within the linkage regions, we identified 36 genes that are associated with ADHD using a pedigree-based gene prioritization approach. KDM6B (Lysine Demethylase 6B) is the highest-ranking gene, which is a known risk gene for neurodevelopmental disorders, including ASD and ADHD. At the whole-genome level, we identified 207 candidate genes from the analysis of both small variants and structure variants, including both known and novel genes. Using enrichment and protein-protein interaction network analyses, we identified gene ontology terms and pathways enriched for ASD and ADHD candidate genes, such as cilia function and cation channel activity. Candidate genes and pathways identified in our study improve the understanding of the genetic etiology of ASD and ADHD and will lead to new diagnostic or therapeutic interventions for ASD and ADHD in the future.
Collapse
Affiliation(s)
- Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | | | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christopher W Bartlett
- The Steve Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Judy F Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Linda M Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. .,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA.
| |
Collapse
|
12
|
Akingbuwa WA, Hammerschlag AR, Allegrini AG, Sallis H, Kuja-Halkola R, Rimfeld K, Lichtenstein P, Lundstrom S, Munafò MR, Plomin R, Nivard MG, Bartels M, Middeldorp CM. Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits. Am J Med Genet B Neuropsychiatr Genet 2023; 192:3-12. [PMID: 36380638 PMCID: PMC7615008 DOI: 10.1002/ajmg.b.32922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/07/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022]
Abstract
Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention-deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5-10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well-being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well-being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.
Collapse
Affiliation(s)
- Wonuola A Akingbuwa
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Hannah Sallis
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundstrom
- Centre for Ethics Law and Mental Health, Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michel G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Services, Brisbane, Queensland, Australia
| |
Collapse
|
13
|
Krakowski AD, Cost KT, Szatmari P, Anagnostou E, Crosbie J, Schachar R, Duku E, Georgiades S, Ayub M, Kelley E, Nicolson R, Pullenayegum E, Barnett-Tapia C. Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample. J Child Psychol Psychiatry 2022; 63:1534-1543. [PMID: 35342939 DOI: 10.1111/jcpp.13609] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/23/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD-ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. METHODS Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 727) or ADHD (n = 770) for a total of 1,497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. RESULTS EFA revealed a four-factor solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. CONCLUSIONS Our study shows that a combined ASD-ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and two latent ADHD domains (inattention and hyperactivity/impulsivity). We established measurement invariance of the derived measurement model across adaptive functioning, age, gender and ASD/ADHD diagnoses.
Collapse
Affiliation(s)
- Aneta D Krakowski
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Peter Szatmari
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada.,Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Jennifer Crosbie
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada
| | - Russell Schachar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada
| | - Eric Duku
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, Canada
| | - Stelios Georgiades
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, Canada
| | - Muhammad Ayub
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Elizabeth Kelley
- Department of Psychology, Queen's University, Kingston, ON, Canada.,Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Rob Nicolson
- Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Eleanor Pullenayegum
- Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Carolina Barnett-Tapia
- Division of Neurology, Department of Medicine, University Health Network and University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
14
|
Abstract
INTRODUCTION The distribution pattern and knowledge structure of psychiatric genomics were surveyed based on literature dealing with both psychiatry and genomics/genetics. Coword analysis and bibliographic coupling of the records retrieved from Scopus and PubMed for 2016-2020 revealed the subsurface research aspects. METHOD The data were analyzed using coword analysis and clustering methods using Sci2 and VOSviewer. RESULT Analysis of ~3800 records showed that psychiatric genomics is, as expectedly, covered largely under biomedical subjects with a visible interest in other disciplines such as humanities and ethics. A coword analysis was done for all the years, followed by a year-wise analysis based on the keywords, and then a bibliographic coupling based on the cited references. This led to the generation of different clusters of prevalent research areas. The centrality values described the position of each component. DISCUSSION 'Schizophrenia', 'depression', 'pharmacogenomics', and 'immunopathogenesis' were the research topics of overarching interest. 'Gut-brain axis' and 'gene-environment interaction' were the emerging topics, whereas certain topics such as 'child and adolescent psychiatry' remained priorities when compared to earlier studies. The keywords and research focus were diverse. They ranged from genetics to transcriptomics and epigenetics to proteomics of psychiatric disorders. We found a stagnation of science communication in the field with only 0.2% of the articles from the entire corpus relevant to it. The research categories identified in this study reflect the current publication and research trends in psychiatric genomics.
Collapse
|
15
|
Green A, Baroud E, DiSalvo M, Faraone SV, Biederman J. Examining the impact of ADHD polygenic risk scores on ADHD and associated outcomes: A systematic review and meta-analysis. J Psychiatr Res 2022; 155:49-67. [PMID: 35988304 DOI: 10.1016/j.jpsychires.2022.07.032] [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] [Received: 04/04/2022] [Revised: 07/12/2022] [Accepted: 07/18/2022] [Indexed: 11/29/2022]
Abstract
Early identification of attention-deficit/hyperactivity disorder (ADHD) is critical for mitigating the many negative functional outcomes associated with its diagnosis. Because of the strong genetic basis of ADHD, the use of polygenic risk scores (PRS) could potentially aid in the early identification of ADHD and associated outcomes. Therefore, a systematic search of the literature on the association between ADHD and PRS in pediatric populations was conducted. All articles were screened for a priori inclusion and exclusion criteria, and, after careful review, 33 studies were included in our systematic review and 16 studies with extractable data were included in our meta-analysis. The results of the review were categorized into three common themes: the associations between ADHD-PRS with 1) the diagnosis of ADHD and ADHD symptoms 2) comorbid psychopathology and 3) cognitive and educational outcomes. Higher ADHD-PRS were associated with increased odds of having a diagnosis (OR = 1.37; p<0.001) and more symptoms of ADHD (β = 0.06; p<0.001). While ADHD-PRS were associated with a persistent diagnostic trajectory over time in the systematic review, the meta-analysis did not confirm these findings (OR = 1.09; p = 0.62). Findings showed that ADHD-PRS were associated with increased odds for comorbid psychopathology such as anxiety/depression (OR = 1.16; p<0.001) and irritability/emotional dysregulation (OR = 1.14; p<0.001). Finally, while the systematic review showed that ADHD-PRS were associated with a variety of negative cognitive outcomes, the meta-analysis showed no significant association (β = 0.08; p = 0.07). Our review of the available literature suggests that ADHD-PRS, together with risk factors, may contribute to the early identification of children with suspected ADHD and associated disorders.
Collapse
Affiliation(s)
- Allison Green
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Evelyne Baroud
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Massachusetts General Hospital and McLean Hospital, Harvard Medical School, Boston, MA, United States
| | - Maura DiSalvo
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | | | - Joseph Biederman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
16
|
Developmental and mental health risks among siblings of patients with autism spectrum disorder: a nationwide study. Eur Child Adolesc Psychiatry 2022; 31:1361-1366. [PMID: 33870447 DOI: 10.1007/s00787-021-01784-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 04/11/2021] [Indexed: 10/21/2022]
Abstract
Studies have suggested that unaffected siblings of patients with autism spectrum disorder (ASD) have some other neurodevelopmental abnormalities. However, the risks of mental and developmental disorders have rarely been investigated among unaffected siblings. Using Taiwan's National Health Insurance Research Database, 1304 unaffected siblings born between 1980 and 2010 with ASD probands and 13,040 age-/sex-/family structure-matched controls were included in our study and followed up from 1996 or birth to the end of 2011. Developmental delay, language delay, developmental coordination disorder, attention-deficit hyperactivity disorder (ADHD), anxiety disorders, disruptive behavior disorders, unipolar disorder, and bipolar disorder were identified during the follow-up period. Unaffected siblings were more likely to develop any developmental delay, developmental speech or language disorder, developmental coordination disorder, intelligence disability, ADHD, anxiety disorders, unipolar depression, and disruptive behavior disorders compared with the control group. Brothers of patients with ASD had a higher risk of neurodevelopmental abnormalities, ADHD, anxiety disorders, and disruptive behavior disorders; sisters were prone to having neurodevelopmental abnormalities, ADHD, anxiety disorders, unipolar depression, and disruptive behavior disorders. Unaffected siblings of patients with ASD were prone to developing any developmental or mental disorder later in life. Clinicians and public health officials should pay more attention to the developmental condition and mental health of unaffected siblings of patients with ASD.
Collapse
|
17
|
Baranova A, Wang J, Cao H, Chen JH, Chen J, Chen M, Ni S, Xu X, Ke X, Xie S, Sun J, Zhang F. Shared genetics between autism spectrum disorder and attention-deficit/hyperactivity disorder and their association with extraversion. Psychiatry Res 2022; 314:114679. [PMID: 35717853 DOI: 10.1016/j.psychres.2022.114679] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 12/22/2022]
Abstract
BACKGROUND Deciphering the genetic relationships between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) may uncover underlining shared pathophysiology as well as inform treatment. METHODS The summary results of genome-wide association studies on ADHD, ASD, and extraversion were utilized for the analyzes. Genetic correlations between ADHD, ASD, and extraversion were tested using linkage disequilibrium score regression. Causal relationships between ADHD, ASD, and extraversion were investigated using Mendelian randomization (MR) analysis. Novel pleiotropic genomic loci shared by ADHD and ASD were identified using a cross-trait meta-analysis. RESULTS Extraversion was positively correlated with ADHD (rg = 0.205) and negatively correlated with ASD (rg = -0.193). The MR analysis showed that ADHD confers a causal effect on ASD (OR: 1.35, 95% confidence interval (CI):1.20-1.52) and vice versa (1.46, 1.38-1.55). Extraversion exerts a causal effect on ADHD only (1.19, 1.05-1.33). The cross-trait meta-analysis identified three novel pleiotropic genomic loci for ADHD and ASD, involving two pleiotropic genes, LINC00461 and KIZ. CONCLUSIONS Our study provides new insights into the shared genetics of ADHD and ASD and their connections with extraversion.
Collapse
Affiliation(s)
- Ancha Baranova
- School of Systems Biology, George Mason University, Manassas 20110, USA; Research Centre for Medical Genetics, Moscow 115478, Russia
| | - Jun Wang
- Department of Psychiatry, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Manassas 20110, USA
| | - Jiang-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Miao Chen
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Sulin Ni
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xijia Xu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xiaoyan Ke
- Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shiping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jing Sun
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Fuquan Zhang
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China.
| |
Collapse
|
18
|
Havdahl A, Wootton RE, Leppert B, Riglin L, Ask H, Tesli M, Bugge Askeland R, Hannigan LJ, Corfield E, Øyen AS, Andreassen OA, Tilling K, Davey Smith G, Thapar A, Reichborn-Kjennerud T, Stergiakouli E. Associations Between Pregnancy-Related Predisposing Factors for Offspring Neurodevelopmental Conditions and Parental Genetic Liability to Attention-Deficit/Hyperactivity Disorder, Autism, and Schizophrenia: The Norwegian Mother, Father and Child Cohort Study (MoBa). JAMA Psychiatry 2022; 79:799-810. [PMID: 35793100 PMCID: PMC9260642 DOI: 10.1001/jamapsychiatry.2022.1728] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/10/2022] [Indexed: 02/02/2023]
Abstract
Importance Several maternal exposures during pregnancy are considered predisposing factors for offspring neurodevelopmental conditions. However, many of these exposures may be noncausal and biased by maternal genetic liability. Objective To assess whether pregnancy-related predisposing factors for offspring neurodevelopmental conditions are associated with maternal genetic liability for attention-deficit/hyperactivity disorder (ADHD), autism, and schizophrenia and to compare associations for maternal genetic liability with those for paternal genetic liability, which could indicate that paternal exposures are not suitable negative controls for maternal exposures. Design, Setting, and Participants The Norwegian Mother, Father and Child Cohort Study (MoBa) is a population-based pregnancy cohort that recruited parents from June 1999 to December 2008. Polygenic scores (PGS) for ADHD, autism, and schizophrenia were derived in mothers and fathers. The associations between maternal PGS and 37 pregnancy-related measures were estimated, and these results were compared with those from paternal PGS predicting paternal measures during the mother's pregnancy. Analysis took place between March 2021 and March 2022. Exposures PGS for ADHD, autism, and schizophrenia, calculated (using discovery effect size estimates and threshold of P < .05) from the largest available genome-wide association studies. Main Outcomes and Measures Self-reported pregnancy-related measures capturing lifestyle behaviors, metabolism, infectious and autoimmune diseases, other physical health conditions, and medication use. Results Data were available for up to 14 539 mothers (mean [SD] age, 30.00 [4.45] years) and 14 897 fathers (mean [SD] age, 32.46 [5.13] years) of European ancestry. Modest but robust associations were observed between specific pregnancy-related measures and maternal PGS, including ADHD PGS with asthma (odds ratio [OR], 1.15 [95% CI, 1.06-1.25]), smoking (OR, 1.26 [95% CI, 1.19-1.33]), prepregnancy body mass index (β, 0.25 [95% CI, 0.18-0.31]), pregnancy weight gain (β, 0.20 [95% CI, 0.10-0.30]), taking folate (OR, 0.92 [95% CI, 0.88-0.96]), and not taking supplements (OR, 1.09 [95% CI, 1.04-1.14]). Schizophrenia PGS was associated with coffee consumption (OR, 1.09 [95% CI, 1.05-1.12]), smoking (OR, 1.12 [95% CI, 1.06-1.19]), prepregnancy body mass index (β, -0.18 [95% CI, -0.25 to -0.11]), and pregnancy weight gain (β, 0.17 [95% CI, 0.07-0.27]). All 3 PGSs associated with symptoms of depression/anxiety (ADHD: OR, 1.15 [95% CI, 1.09-1.22]; autism: OR, 1.13 [95% CI, 1.06-1.19]; schizophrenia: OR, 1.13 [95% CI, 1.07-1.20]). Associations were largely consistent for maternal and paternal PGS, except ADHD PGS and smoking (fathers: OR, 1.13 [95% CI, 1.09-1.17]). Conclusions and Relevance In this study, genetic liability to neurodevelopmental conditions that is passed from mothers to children was associated with several pregnancy-related factors and may therefore confound associations between these pregnancy-related factors and offspring neurodevelopment that have previously been thought to be causal. It is crucial that future study designs account for genetic confounding to obtain valid causal inferences so that accurate advice can be given to pregnant individuals.
Collapse
Affiliation(s)
- Alexandra Havdahl
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Robyn E. Wootton
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Beate Leppert
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Wolfson Centre for Young People’s Mental Health, Cardiff University, Cardiff, United Kingdom
| | - 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, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ragna Bugge Askeland
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Laurie J. Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Elizabeth Corfield
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Anne-Siri Øyen
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kate Tilling
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Wolfson Centre for Young People’s Mental Health, Cardiff University, Cardiff, United Kingdom
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Evie Stergiakouli
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
19
|
Klusek J, O'Connor SL, Hickey A, Hills KJ, Abbeduto L, Roberts JE. Attention/Deficit Hyperactivity Disorder in Adolescent and Young Adult Males With Fragile X Syndrome. AMERICAN JOURNAL ON INTELLECTUAL AND DEVELOPMENTAL DISABILITIES 2022; 127:213-230. [PMID: 35443049 PMCID: PMC9414675 DOI: 10.1352/1944-7558-127.3.213] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/26/2021] [Indexed: 05/03/2023]
Abstract
This study characterized the rates of attention-deficit/hyperactivity disorder (ADHD) in adolescent and young adult males with fragile X syndrome (FXS) using a multi-method approach integrating a DSM-based parent interview (Children's Interview for Psychiatric Syndromes; P-ChIPS, Fristad et al., 1998) and a parent rating scale (Child Behavior Checklist; CBCL, Achenbach, 2001). Thirty-one males with FXS, aged 16-24 years, participated. Forty-two percent met DSM-5 criteria for ADHD and 35% exceeded the CBCL cut-offs. Agreement between the two classification methods was fair (κ = 0.38). Autism symptom severity and nonverbal cognitive ability did not predict ADHD diagnoses/symptoms. Results show high rates of ADHD in males with FXS during late adolescence and young adulthood, which are not accounted for by impaired nonverbal cognitive skills or autism symptom severity. DSM-based ADHD-specific scales are recommended over broadband symptom scales to improve accurate identification.
Collapse
Affiliation(s)
- Jessica Klusek
- Jessica Klusek, Shannon L. O'Connor, Alexandra Hickey and Kimberly J. Hills, University of South Carolina
| | - Shannon L O'Connor
- Jessica Klusek, Shannon L. O'Connor, Alexandra Hickey and Kimberly J. Hills, University of South Carolina
| | - Alexandra Hickey
- Jessica Klusek, Shannon L. O'Connor, Alexandra Hickey and Kimberly J. Hills, University of South Carolina
| | - Kimberly J Hills
- Jessica Klusek, Shannon L. O'Connor, Alexandra Hickey and Kimberly J. Hills, University of South Carolina
| | | | | |
Collapse
|
20
|
Lin YJ, Chiu YN, Wu YY, Tsai WC, Gau SSF. Developmental Changes of Autistic Symptoms, ADHD Symptoms, and Attentional Performance in Children and Adolescents with Autism Spectrum Disorder. J Autism Dev Disord 2022:10.1007/s10803-022-05445-x. [PMID: 35420295 DOI: 10.1007/s10803-022-05445-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2022] [Indexed: 12/01/2022]
Abstract
This study followed up ADHD/autistic symptoms and attentional performance in children/adolescents with ASD and typically developing ones (TD) over 5-7 years. The participants were stratified by age at baseline into child (< 12 years) and adolescent (12-19 years) groups. ADHD symptoms, especially hyperactivity, and attentional functions significantly improved during follow-up, more in children than in adolescents, in both ASD and TD. Significantly more omission errors and perseverations were noted in ASD than TD through the follow-up. Children with ASD had more improvement in reaction time while adolescents with ASD had less improvement in commission errors and detectability than TD. No correlation of attentional functions and ADHD symptoms in ASD implied different neural mechanisms of ADHD symptoms between ASD and ADHD.
Collapse
Affiliation(s)
- Yu-Ju Lin
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan.,Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Yen-Nan Chiu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan
| | - Yu-Yu Wu
- YuNing Psychiatry Clinic, Taipei, Taiwan
| | - Wen-Che Tsai
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan
| | - Susan Shur-Fen Gau
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan. .,Department of Psychology, Graduate Institute of Epidemiology, and Preventive Medicine, and Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan.
| |
Collapse
|
21
|
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: 8] [Impact Index Per Article: 4.0] [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.
Collapse
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
| |
Collapse
|
22
|
A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders. Psychiatr Genet 2022; 32:1-8. [PMID: 34694248 DOI: 10.1097/ypg.0000000000000304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
An improved understanding of genetic etiological heterogeneity in a psychiatric condition may help us (a) isolate a neurophysiological 'final common pathway' by identifying its upstream genetic origins and (b) facilitate characterization of the condition's phenotypic variation. This review aims to identify existing genetic heterogeneity measurements in the psychiatric literature and provides a conceptual review of their mechanisms, limitations, and assumptions. The Scopus database was searched for studies that quantified genetic heterogeneity or correlation of psychiatric phenotypes with human genetic data. Ninety studies were included. Eighty-seven reports quantified genetic correlation, five applied genomic structural equation modelling, three evaluated departure from the Hardy-Weinberg equilibrium at one or more loci, and two applied a novel approach known as MiXeR. We found no study that rigorously measured genetic etiological heterogeneity across a large number of markers. Developing such approaches may help better characterize the biological diversity of psychopathology.
Collapse
|
23
|
Dardani C, Riglin L, Leppert B, Sanderson E, Rai D, Howe LD, Davey Smith G, Tilling K, Thapar A, Davies NM, Anderson E, Stergiakouli E. Is genetic liability to ADHD and ASD causally linked to educational attainment? Int J Epidemiol 2022; 50:2011-2023. [PMID: 34999873 PMCID: PMC8743131 DOI: 10.1093/ije/dyab107] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 05/09/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The association patterns of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) with educational attainment (EA) are complex; children with ADHD and ASD are at risk of poor academic outcomes, and parental EA has been associated with risk of ADHD/ASD in the offspring. Little is known on the causal links between ADHD, ASD, EA and the potential contribution of cognitive ability. METHODS Using the latest genome-wide association studies (GWAS) summary data on ADHD, ASD and EA, we applied two-sample Mendelian randomization (MR) to assess the effects of genetic liability to ADHD and ASD on EA. Reverse direction analyses were additionally performed. Multivariable MR was performed to estimate any effects independent of cognitive ability. RESULTS Genetic liability to ADHD had a negative effect on EA, independently of cognitive ability (MVMRIVW: -1.7 months of education per doubling of genetic liability to ADHD; 95% CI: -2.8 to -0.7), whereas genetic liability to ASD a positive effect (MVMRIVW: 30 days per doubling of the genetic liability to ASD; 95% CI: 2 to 53). Reverse direction analyses suggested that genetic liability to higher EA had an effect on lower risk of ADHD, independently of cognitive ability (MVMRIVWOR: 0.33 per SD increase; 95% CI: 0.26 to 0.43) and increased risk of ASD (MRIVWOR: 1.51 per SD increase; 95% CI: 1.29 to 1.77), which was partly explained by cognitive ability (MVMRIVWOR per SD increase: 1.24; 95%CI: 0.96 to 1.60). CONCLUSIONS Genetic liability to ADHD and ASD is likely to affect educational attainment, independently of underlying cognitive ability.
Collapse
Affiliation(s)
- Christina Dardani
- Centre of Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Beate Leppert
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleanor Sanderson
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Dheeraj Rai
- Centre of Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Laura D Howe
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate Tilling
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Emma Anderson
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Evie Stergiakouli
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
24
|
Hoogman M, van Rooij D, Klein M, Boedhoe P, Ilioska I, Li T, Patel Y, Postema MC, Zhang‐James Y, Anagnostou E, Arango C, Auzias G, Banaschewski T, Bau CHD, Behrmann M, Bellgrove MA, Brandeis D, Brem S, Busatto GF, Calderoni S, Calvo R, Castellanos FX, Coghill D, Conzelmann A, Daly E, Deruelle C, Dinstein I, Durston S, Ecker C, Ehrlich S, Epstein JN, Fair DA, Fitzgerald J, Freitag CM, Frodl T, Gallagher L, Grevet EH, Haavik J, Hoekstra PJ, Janssen J, Karkashadze G, King JA, Konrad K, Kuntsi J, Lazaro L, Lerch JP, Lesch K, Louza MR, Luna B, Mattos P, McGrath J, Muratori F, Murphy C, Nigg JT, Oberwelland‐Weiss E, O'Gorman Tuura RL, O'Hearn K, Oosterlaan J, Parellada M, Pauli P, Plessen KJ, Ramos‐Quiroga JA, Reif A, Reneman L, Retico A, Rosa PGP, Rubia K, Shaw P, Silk TJ, Tamm L, Vilarroya O, Walitza S, Jahanshad N, Faraone SV, Francks C, van den Heuvel OA, Paus T, Thompson PM, Buitelaar JK, Franke B. Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure. Hum Brain Mapp 2022; 43:37-55. [PMID: 32420680 PMCID: PMC8675410 DOI: 10.1002/hbm.25029] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/07/2020] [Accepted: 04/20/2020] [Indexed: 01/01/2023] Open
Abstract
Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders are the small sample sizes employed and the heterogeneity of methods used. In 2013 and 2014, the ENIGMA-ADHD and ENIGMA-ASD working groups were respectively, founded with a common goal to address these limitations. Here, we provide a narrative review of the thus far completed and still ongoing projects of these working groups. Due to an implicitly hierarchical psychiatric diagnostic classification system, the fields of ADHD and ASD have developed largely in isolation, despite the considerable overlap in the occurrence of the disorders. The collaboration between the ENIGMA-ADHD and -ASD working groups seeks to bring the neuroimaging efforts of the two disorders closer together. The outcomes of case-control studies of subcortical and cortical structures showed that subcortical volumes are similarly affected in ASD and ADHD, albeit with small effect sizes. Cortical analyses identified unique differences in each disorder, but also considerable overlap between the two, specifically in cortical thickness. Ongoing work is examining alternative research questions, such as brain laterality, prediction of case-control status, and anatomical heterogeneity. In brief, great strides have been made toward fulfilling the aims of the ENIGMA collaborations, while new ideas and follow-up analyses continue that include more imaging modalities (diffusion MRI and resting-state functional MRI), collaborations with other large databases, and samples with dual diagnoses.
Collapse
Affiliation(s)
- Martine Hoogman
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
| | - Marieke Klein
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of PsychiatryUniversity Medical Center Utrecht, UMC Utrecht Brain CenterUtrechtThe Netherlands
| | - Premika Boedhoe
- Department of Psychiatry, Department of Anatomy & NeurosciencesAmsterdam Neuroscience, Amsterdam UMC Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Iva Ilioska
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
| | - Ting Li
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Merel C. Postema
- Department of Language & GeneticsMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Yanli Zhang‐James
- Department of Psychiatry and behavioral sciencesSUNY Upstate Medical UniversitySyracuseNew YorkUSA
| | - Evdokia Anagnostou
- Department of Pediatrics University of TorontoHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Celso Arango
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of Medicine, Universidad ComplutenseMadridSpain
| | | | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg UniversityMannheimGermany
| | - Claiton H. D. Bau
- Department of Genetics, Institute of BiosciencesUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Developmental Psychiatry Program, Experimental Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
| | - Marlene Behrmann
- Department of Psychology and Neuroscience InstituteCarnegie Mellon UniversityPittsburghPennsylvaniaUSA
| | - Mark A. Bellgrove
- Turner Institute for Brain and Mental Health and School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and PsychotherapyCentral Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg UniversityMannheimGermany
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloBrazil
| | - Sara Calderoni
- Department of Developmental NeuroscienceIRCCS Fondazione Stella MarisPisaItaly
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
- Department of Child and Adolescent Psychiatry and PsychologyHospital ClínicBarcelonaSpain
| | - Rosa Calvo
- IDIBAPSBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of MedicineUniversity of BarcelonaBarcelonaSpain
- Department of Child and Adolescent PsychiatryHassenfeld Children's Hospital at NYU LangoneNew YorkNew YorkUSA
| | - Francisco X. Castellanos
- Department of Child and Adolescent PsychiatryHassenfeld Children's Hospital at NYU LangoneNew YorkNew YorkUSA
- Nathan Kline Institute for Psychiatric ResearchOrangeburgNew YorkUSA
| | - David Coghill
- Department of Paediatrics and PsychiatryUniversity of MelbourneMelbourneVictoriaAustralia
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity Hospital of Psychiatry and PsychotherapyTübingenGermany
- PFH – Private University of Applied Sciences, Department of Psychology (Clinical Psychology II)GöttingenGermany
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | | | - Ilan Dinstein
- Department of PsychologyBen Gurion UniversityBeer ShevaIsrael
| | - Sarah Durston
- NICHE lab, Deptartment of PsychiatryUMC Utrecht Brain CenterUtrechtThe Netherlands
| | - Christine Ecker
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyAutism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe UniversityFrankfurt am MainGermany
| | - Stefan Ehrlich
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
- Eating Disorders Research and Treatment Center at the Dept. of Child and Adolescent Psychiatry, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
| | - Jeffery N. Epstein
- Division of Behavioral Medicine and Clinical PsychologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Damien A. Fair
- Department of PsychiatryOregon Health & Science UniversityPortlandOregonUSA
- Department of Behavioral NeuroscienceOregon Health & Science UniversityPortlandOregonUSA
| | | | - Christine M. Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyAutism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe UniversityFrankfurt am MainGermany
| | - Thomas Frodl
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
- Department of Psychiatry and PsychotherapyOtto von Guericke University MagdeburgMagdeburgGermany
- German Center for Neurodegenerative Disorders (DZNE)MagdeburgGermany
| | - Louise Gallagher
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
| | - Eugenio H. Grevet
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Developmental Psychiatry Program, Experimental Research CenterHospital de Clínicas de Porto AlegrePorto AlegreBrazil
- Department of Psychiatry, Faculty of Medical ScienceUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of BiomedicineUniversity of BergenBergenNorway
- Division of PsychiatryHaukeland University HospitalBergenNorway
| | - Pieter J. Hoekstra
- Department of Child and Adolescent PsychiatryUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Joost Janssen
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
| | - Georgii Karkashadze
- Scientific research institute of Pediatrics and child health of Central clinical Hospital RAoSMoscowRussia
| | - Joseph A. King
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of MedicineTechnischen Universität DresdenDresdenGermany
| | - Kerstin Konrad
- Child Neuropsychology SectionUniversity Hospital RWTH AachenAachenGermany
- JARA Institute Molecular Neuroscience and Neuroimaging (INM‐11), Institute for Neuroscience and MedicineResearch Center JülichJulichGermany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and PsychologyHospital ClínicBarcelonaSpain
- IDIBAPSBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of MedicineUniversity of BarcelonaBarcelonaSpain
| | - Jason P. Lerch
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department for Clinical NeurosciencesUniversity of OxfordUK
- The Hospital for Sick ChildrenTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Klaus‐Peter Lesch
- Division of Molecular Psychiatry, Center of Mental HealthUniversity of WürzburgWürzburgGermany
- Laboratory of Psychiatric NeurobiologyInstitute of Molecular Medicine, I.M. Sechenov First Moscow State Medical UniversityMoscowRussia
- Department of Neuroscience, School for Mental Health and Neuroscience (MHeNS)Maastricht UniversityMaastrichtThe Netherlands
| | - Mario R. Louza
- Department and Institute of Psychiatry, Faculty of MedicineUniversity of Sao PauloSao PauloBrazil
| | - Beatriz Luna
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Paulo Mattos
- D'Or Institute for Research and EducationRio de JaneiroBrazil
- Federal University of Rio de JaneiroRio de JaneiroBrazil
| | - Jane McGrath
- Department of Psychiatry, School of MedicineTrinity College DublinDublinIreland
| | - Filippo Muratori
- Department of Developmental NeuroscienceIRCCS Fondazione Stella MarisPisaItaly
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Clodagh Murphy
- Department of Forensic and Neurodevelopmental ScienceInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Joel T. Nigg
- Department of PsychiatryOregon Health & Science UniversityPortlandOregonUSA
- Department of Behavioral NeuroscienceOregon Health & Science UniversityPortlandOregonUSA
| | - Eileen Oberwelland‐Weiss
- JARA Institute Molecular Neuroscience and Neuroimaging (INM‐11), Institute for Neuroscience and MedicineResearch Center JülichJulichGermany
- Translational Neuroscience, Child and Adolescent PsychiatryUniversity Hospital RWTH AachenAachenGermany
| | - Ruth L. O'Gorman Tuura
- Center for MR ResearchUniversity Children's HospitalZurichSwitzerland
- Zurich Center for Integrative Human Physiology (ZIHP)ZurichSwitzerland
| | - Kirsten O'Hearn
- Department of physiology and pharmacologyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jaap Oosterlaan
- Clinical Neuropsychology SectionVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Emma Children's Hospital Amsterdam Medical CenterAmsterdamThe Netherlands
| | - Mara Parellada
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Paul Pauli
- Department of Biological PsychologyClinical Psychology and PsychotherapyWürzburgGermany
| | - Kerstin J. Plessen
- Child and Adolescent Mental Health CentreCopenhagenDenmark
- Division of Child and Adolescent Psychiatry, Department of PsychiatryUniversity Hospital LausanneSwitzerland
| | - J. Antoni Ramos‐Quiroga
- Biomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
- Department of PsychiatryHospital Universitari Vall d'HebronBarcelonaSpain
- Group of Psychiatry, Addictions and Mental HealthVall d'Hebron Research InstituteBarcelonaSpain
- Department of Psychiatry and Forensic MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfurtGermany
| | - Liesbeth Reneman
- Department of Radiology and Nuclear MedicineAmsterdam University Medical CentersAmsterdamThe Netherlands
- Brain Imaging CenterAmsterdam University Medical CentersAmsterdamThe Netherlands
| | | | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloBrazil
| | - Katya Rubia
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Philip Shaw
- National Human Genome Research InstituteBethesdaMarylandUSA
- National Institute of Mental HealthBethesdaMarylandUSA
| | - Tim J. Silk
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
- Deakin UniversitySchool of PsychologyGeelongAustralia
| | - Leanne Tamm
- Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- College of MedicineUniversity of CincinnatiCincinnatiOhioUSA
| | - Oscar Vilarroya
- Department of Psychiatry and Forensic MedicineUniversitat Autonoma de BarcelonaBarcelonaSpain
- Hospital del Mar Medical Research Institute (IMIM)BarcelonaSpain
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and PsychotherapyPsychiatric Hospital, University of ZurichZurichSwitzerland
- The Neuroscience Center ZurichUniversity of Zurich and ETH ZurichZurichSwitzerland
| | - Neda Jahanshad
- Imaging Genetics CenterStevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Stephen V. Faraone
- Department of Psychiatry and of Neuroscience and PhysiologySUNY Upstate Medical UniversitySyracuseNew YorkUSA
| | - Clyde Francks
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Language & GeneticsMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Odile A. van den Heuvel
- Department of Psychiatry, Department of Anatomy & NeurosciencesAmsterdam Neuroscience, Amsterdam UMC Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology & PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Paul M. Thompson
- Imaging Genetics CenterStevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Cognitive NeuroscienceRadboud University Medical CenterNijmegenThe Netherlands
- Karakter child and adolescent psychiatry University CenterNijmegenThe Netherlands
| | - Barbara Franke
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| |
Collapse
|
25
|
Lu H, Qiao J, Shao Z, Wang T, Huang S, Zeng P. A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics. BMC Med 2021; 19:314. [PMID: 34895209 PMCID: PMC8667366 DOI: 10.1186/s12916-021-02186-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Recent genome-wide association studies (GWASs) have revealed the polygenic nature of psychiatric disorders and discovered a few of single-nucleotide polymorphisms (SNPs) associated with multiple psychiatric disorders. However, the extent and pattern of pleiotropy among distinct psychiatric disorders remain not completely clear. METHODS We analyzed 14 psychiatric disorders using summary statistics available from the largest GWASs by far. We first applied the cross-trait linkage disequilibrium score regression (LDSC) to estimate genetic correlation between disorders. Then, we performed a gene-based pleiotropy analysis by first aggregating a set of SNP-level associations into a single gene-level association signal using MAGMA. From a methodological perspective, we viewed the identification of pleiotropic associations across the entire genome as a high-dimensional problem of composite null hypothesis testing and utilized a novel method called PLACO for pleiotropy mapping. We ultimately implemented functional analysis for identified pleiotropic genes and used Mendelian randomization for detecting causal association between these disorders. RESULTS We confirmed extensive genetic correlation among psychiatric disorders, based on which these disorders can be grouped into three diverse categories. We detected a large number of pleiotropic genes including 5884 associations and 2424 unique genes and found that differentially expressed pleiotropic genes were significantly enriched in pancreas, liver, heart, and brain, and that the biological process of these genes was remarkably enriched in regulating neurodevelopment, neurogenesis, and neuron differentiation, offering substantial evidence supporting the validity of identified pleiotropic loci. We further demonstrated that among all the identified pleiotropic genes there were 342 unique ones linked with 6353 drugs with drug-gene interaction which can be classified into distinct types including inhibitor, agonist, blocker, antagonist, and modulator. We also revealed causal associations among psychiatric disorders, indicating that genetic overlap and causality commonly drove the observed co-existence of these disorders. CONCLUSIONS Our study is among the first large-scale effort to characterize gene-level pleiotropy among a greatly expanded set of psychiatric disorders and provides important insight into shared genetic etiology underlying these disorders. The findings would inform psychiatric nosology, identify potential neurobiological mechanisms predisposing to specific clinical presentations, and pave the way to effective drug targets for clinical treatment.
Collapse
Affiliation(s)
- Haojie Lu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Zhonghe Shao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shuiping Huang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
| |
Collapse
|
26
|
Verhoef E, Grove J, Shapland CY, Demontis D, Burgess S, Rai D, Børglum AD, St Pourcain B. Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. Nat Commun 2021; 12:6534. [PMID: 34764245 PMCID: PMC8586371 DOI: 10.1038/s41467-021-26755-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 10/08/2021] [Indexed: 11/18/2022] Open
Abstract
Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) are complex co-occurring neurodevelopmental conditions. Their genetic architectures reveal striking similarities but also differences, including strong, discordant polygenic associations with educational attainment (EA). To study genetic mechanisms that present as ASD-related positive and ADHD-related negative genetic correlations with EA, we carry out multivariable regression analyses using genome-wide summary statistics (N = 10,610-766,345). Our results show that EA-related genetic variation is shared across ASD and ADHD architectures, involving identical marker alleles. However, the polygenic association profile with EA, across shared marker alleles, is discordant for ASD versus ADHD risk, indicating independent effects. At the single-variant level, our results suggest either biological pleiotropy or co-localisation of different risk variants, implicating MIR19A/19B microRNA mechanisms. At the polygenic level, they point to a polygenic form of pleiotropy that contributes to the detectable genome-wide correlation between ASD and ADHD and is consistent with effect cancellation across EA-related regions.
Collapse
Affiliation(s)
- Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Nijmegen, The Netherlands
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Chin Yang Shapland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dheeraj Rai
- Centre for Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University of Bristol, Bristol, UK
- Avon and Wiltshire Partnership NHS Mental Health Trust, Bristol, UK
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine (Human Genetics) and Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Centre for Academic Mental Health, Bristol Medical School, University of Bristol, Bristol, UK.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| |
Collapse
|
27
|
Orm S, Øie MG, Fossum IN, Andersen PN, Skogli EW. Declining Trajectories of Co-occurring Psychopathology Symptoms in Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: A 10-Year Longitudinal Study. Front Psychiatry 2021; 12:724759. [PMID: 34721102 PMCID: PMC8553244 DOI: 10.3389/fpsyt.2021.724759] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/16/2021] [Indexed: 12/27/2022] Open
Abstract
Objective: Our objective was to examine developmental trajectories of co-occurring psychopathology symptoms from childhood to young adulthood in individuals with Attention-Deficit/Hyperactivity Disorder (ADHD), individuals with Autism Spectrum Disorder (ASD), and typically developing (TD) individuals. Method: We assessed co-occurring psychopathology symptoms in 61 individuals with ADHD, 26 with ASD, and 40 TD individuals at baseline (T1; Mage = 11.72, 64% boys), 2-year follow up (T2; Mage = 13.77), and 10-year follow up (T3; Mage = 21.35). We analyzed trajectories of internalizing behaviors, externalizing behaviors, and total problems with linear mixed models. Results: From T1 to T3, the ADHD group displayed a small decline in internalizing behaviors (d = -0.49) and large declines in externalizing behaviors (d = -0.78) and total problems (d = -0.71). The ASD group displayed large declines in internalizing behaviors (d = -0.79), externalizing behaviors (d = -0.80), and total problems (d = -0.89). From T1 to T2, the decline in externalizing behaviors and total problems were significantly smaller in the ADHD group compared with the ASD group. The ADHD and the ASD group displayed more co-occurring symptoms compared with the TD group at T3. Conclusion: Individuals with ADHD and ASD, respectively, displayed declines in co-occurring symptoms from childhood to young adulthood. Individuals with ASD displayed an earlier decline compared with individuals with ADHD. Compared with TD individuals, individuals with ADHD and ASD, respectively, continued to display elevated levels of co-occurring symptoms in young adulthood.
Collapse
Affiliation(s)
- Stian Orm
- Division Mental Health Care, Innlandet Hospital Trust, Brumunddal, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Merete Glenne Øie
- Department of Psychology, University of Oslo, Oslo, Norway
- Research Department, Innlandet Hospital Trust, Brumunddal, Norway
| | - Ingrid Nesdal Fossum
- Division Mental Health Care, Innlandet Hospital Trust, Brumunddal, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Per Normann Andersen
- Department of Psychology, Inland Norway University of Applied Sciences, Lillehammer, Norway
| | | |
Collapse
|
28
|
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: 48] [Impact Index Per Article: 16.0] [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.
Collapse
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.
| |
Collapse
|
29
|
Postema MC, Hoogman M, Ambrosino S, Asherson P, Banaschewski T, Bandeira CE, Baranov A, Bau CH, Baumeister S, Baur-Streubel R, Bellgrove MA, Biederman J, Bralten J, Brandeis D, Brem S, Buitelaar JK, Busatto GF, Castellanos FX, Cercignani M, Chaim-Avancini TM, Chantiluke KC, Christakou A, Coghill D, Conzelmann A, Cubillo AI, Cupertino RB, de Zeeuw P, Doyle AE, Durston S, Earl EA, Epstein JN, Ethofer T, Fair DA, Fallgatter AJ, Faraone SV, Frodl T, Gabel MC, Gogberashvili T, Grevet EH, Haavik J, Harrison NA, Hartman CA, Heslenfeld DJ, Hoekstra PJ, Hohmann S, Høvik MF, Jernigan TL, Kardatzki B, Karkashadze G, Kelly C, Kohls G, Konrad K, Kuntsi J, Lazaro L, Lera-Miguel S, Lesch KP, Louza MR, Lundervold AJ, Malpas CB, Mattos P, McCarthy H, Namazova-Baranova L, Rosa N, Nigg JT, Novotny SE, Weiss EO, Tuura RLO, Oosterlaan J, Oranje B, Paloyelis Y, Pauli P, Picon FA, Plessen KJ, Ramos-Quiroga JA, Reif A, Reneman L, Rosa PG, Rubia K, Schrantee A, Schweren LJ, Seitz J, Shaw P, Silk TJ, Skokauskas N, Vila JCS, Stevens MC, Sudre G, Tamm L, Tovar-Moll F, van Erp TG, Vance A, Vilarroya O, Vives-Gilabert Y, von Polier GG, Walitza S, Yoncheva YN, Zanetti MV, Ziegler GC, Glahn DC, Jahanshad N, Medland SE, Thompson PM, Fisher SE, Franke B, Francks C. Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets. J Child Psychol Psychiatry 2021; 62:1202-1219. [PMID: 33748971 PMCID: PMC8455726 DOI: 10.1111/jcpp.13396] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium. METHODS We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries. RESULTS There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing. CONCLUSION Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.
Collapse
Affiliation(s)
- Merel C. Postema
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Sara Ambrosino
- NICHE lab, Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Cibele E. Bandeira
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Alexandr Baranov
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Claiton H.D. Bau
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Developmental Psychiatry Program, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Ramona Baur-Streubel
- Department of Biological Psychology, Clinical Psychology and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Mark A. Bellgrove
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Joseph Biederman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA
| | - Janita Bralten
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- The Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Silvia Brem
- The Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Jan K. Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
- Karakter child and adolescent psychiatry University Center, Nijmegen, The Netherlands
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Francisco X. Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Mara Cercignani
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
| | - Tiffany M. Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Kaylita C. Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anastasia Christakou
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- School of Psychology and Clinical Language Sciences, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, Reading, UK
| | - David Coghill
- Departments of Paediatrics and Psychiatry, University of Melbourne, Melbourne, Australia
- Murdoch Children’s Research Institute, Melbourne, Australia
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Tübingen, Germany
- PFH – Private University of Applied Sciences, Department of Psychology (Clinical Psychology II), Göttingen, Germany
| | - Ana I. Cubillo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Renata B. Cupertino
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Patrick de Zeeuw
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Alysa E. Doyle
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, USA
| | - Sarah Durston
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Eric A. Earl
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Jeffery N. Epstein
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Thomas Ethofer
- Clinic for Psychiatry/Psychotherapy Tübingen / Department for Biomedical Magnetic Resonance, Tübingen
| | - Damien A. Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Andreas J. Fallgatter
- Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen, Tuebingen, Germany
- LEAD Graduate School, University of Tuebingen, Germany
| | - Stephen V. Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University Magdeburg, Germany
- Department of Psychiatry, Trinity College Dublin, Ireland
| | - Matt C. Gabel
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
| | - Tinatin Gogberashvili
- National Medical Research Center for Children’s Health, Laboratory of Neurology and Cognitive Health, Moscow, Russia
| | - Eugenio H. Grevet
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Department of Genetics, Institute of Biosciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Developmental Psychiatry Program, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Neil A. Harrison
- Department of Neuroscience, Brighton and Sussex Medical School, Falmer, Brighton, UK
- Sussex Partnership NHS Foundation Trust, Swandean, East Sussex, UK
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
| | - Dirk J. Heslenfeld
- Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter J. Hoekstra
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Marie F. Høvik
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Bernd Kardatzki
- Department of Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
| | - Georgii Karkashadze
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Clare Kelly
- School of Psychology and Department of Psychiatry at the School of Medicine, Trinity College Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital RWTH Aachen, Germany
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital RWTH Aachen, Germany
- JARA Institute Molecular Neuroscience and Neuroimaging (INM-11), Institute for Neuroscience and Medicine, Research Center Jülich, Germany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Luisa Lazaro
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Medicine, University of Barcelona, Spain
| | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciencies, Hospital Clínic, Barcelona
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
- Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Mario R. Louza
- Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Astri J. Lundervold
- K.G. Jebsen Centre for Neuropsychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Charles B Malpas
- Developmental Imaging Group, Murdoch Children’s Research Institute, Melbourne, Australia
- Clinical Outcomes Research Unit (CORe), Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Paulo Mattos
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro
| | - Hazel McCarthy
- Department of Psychiatry, Trinity College Dublin, Ireland
- Centre of Advanced Medical Imaging, St James’s Hospital, Dublin, Ireland
| | - Leyla Namazova-Baranova
- Research Institute of Pediatrics and child health of Central clinical hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
- Russian National Research Medical University Ministry of Health of the Russian Federation, Moscow, Russia
| | - Nicolau Rosa
- Department of Child and Adolescent Psychiatry and Psychology, Institut of Neurosciencies, Hospital Clínic, Barcelona, Spain
| | - Joel T Nigg
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
- Department of Psychiatry, Oregon Health & Science University, Portland OR, USA
| | | | - Eileen Oberwelland Weiss
- Translational Neuroscience, Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
- Cognitive Neuroscience (INM-3), Institute for Neuroscience and Medicine, Research Center Jülich
| | - Ruth L. O’Gorman Tuura
- Center for MR Research, University Children’s Hospital, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology (ZIHP)
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Emma Children’s Hospital Amsterdam University Medical Centers, University of Amsterdam, Emma Neuroscience Group, department of Pediatrics, Amsterdam Reproduction & Development, Amsterdam, The Netherlands
| | - Bob Oranje
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paul Pauli
- Department of Psychology (Biological Psychology, Clinical Psychology and Psychotherapy) and Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Felipe A. Picon
- Adulthood ADHD Outpatient Program (ProDAH), Clinical Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Kerstin J. Plessen
- Child and Adolescent Mental Health Centre, Capital Region Copenhagen, Denmark
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital Lausanne, Switzerland
| | - J. Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, Barcelona, Catalonia, Spain
- Group of Psychiatry, Mental Health and Addictions, Vall d’Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Liesbeth Reneman
- Amsterdam University Medical Center, Academic Medical Center, Amsterdam, the Netherlands
| | - Pedro G.P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of São Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam; the Netherlands
| | - Lizanne J.S. Schweren
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, The Netherlands
| | - Jochen Seitz
- Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
| | - Philip Shaw
- National Human Genome Research Institute and National Institute of Mental health, Bethesda, MD, USA
| | - Tim J. Silk
- Deakin University, School of Psychology, Geelong, Australia
- Murdoch Children’s Research Institute, Developmental Imaging, Melbourne, Australia
| | - Norbert Skokauskas
- Centre for child and adolescent mental health, NTNU, Norway
- Institute of Mental Health, Norwegian University of Science and Technology
| | | | - Michael C. Stevens
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale University School of Medicine, USA
| | - Gustavo Sudre
- National Human Genome Research Institute, Bethesda, MD, USA
| | - Leanne Tamm
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, USA
- College of Medicine, University of Cincinnati, USA
| | - Fernanda Tovar-Moll
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- Morphological Sciences Program, Federal University of Rio de Janeiro, Rio de Janeiro
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, 5251 California Ave, Irvine, CA, 92617, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, 309 Qureshey Research Lab, Irvine, CA, 92697, USA
| | - Alasdair Vance
- Department of Paediatrics, University of Melbourne, Australia
| | - Oscar Vilarroya
- Department of Psychiatry and Forensic Medicine, Universitat Autonoma de Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | | | - Georg G. von Polier
- Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
- Brain and Behavior (INM-7), Institute for Neuroscience and Medicine, Research Center Jülich, Germany
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Yuliya N. Yoncheva
- Department of Child and Adolescent Psychiatry, NYU Child Study Center, Hassenfeld Children’s Hospital at NYU Langone
| | - Marcus V. Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
- Hospital Sírio-Libanês, São Paulo Brazil
| | - Georg C. Ziegler
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - David C. Glahn
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115-5724, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90292
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Paul M. Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Simon E. Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud university medical center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| |
Collapse
|
30
|
Knott R, Johnson BP, Tiego J, Mellahn O, Finlay A, Kallady K, Kouspos M, Mohanakumar Sindhu VP, Hawi Z, Arnatkeviciute A, Chau T, Maron D, Mercieca EC, Furley K, Harris K, Williams K, Ure A, Fornito A, Gray K, Coghill D, Nicholson A, Phung D, Loth E, Mason L, Murphy D, Buitelaar J, Bellgrove MA. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology. Mol Autism 2021; 12:55. [PMID: 34353377 PMCID: PMC8340366 DOI: 10.1186/s13229-021-00457-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and neurocognitive heterogeneity in ASD and ADHD has hampered attempts to map the underlying genetics and neurobiology, predict intervention response, and improve diagnostic accuracy. Moving away from categorical conceptualisations of psychopathology to a dimensional approach is anticipated to facilitate discovery of data-driven clusters and enhance our understanding of the neurobiological and genetic aetiology of these conditions. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project is one of the first large-scale, family-based studies to take a truly transdiagnostic approach to ASD and ADHD. Using a comprehensive phenotyping protocol capturing dimensional traits central to ASD and ADHD, the MAGNET project aims to identify data-driven clusters across ADHD-ASD spectra using deep phenotyping of symptoms and behaviours; investigate the degree of familiality for different dimensional ASD-ADHD phenotypes and clusters; and map the neurocognitive, brain imaging, and genetic correlates of these data-driven symptom-based clusters. Methods The MAGNET project will recruit 1,200 families with children who are either typically developing, or who display elevated ASD, ADHD, or ASD-ADHD traits, in addition to affected and unaffected biological siblings of probands, and parents. All children will be comprehensively phenotyped for behavioural symptoms, comorbidities, neurocognitive and neuroimaging traits and genetics. Conclusion The MAGNET project will be the first large-scale family study to take a transdiagnostic approach to ASD-ADHD, utilising deep phenotyping across behavioural, neurocognitive, brain imaging and genetic measures. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00457-3.
Collapse
Affiliation(s)
- Rachael Knott
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia.
| | - Beth P Johnson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Olivia Mellahn
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kathryn Kallady
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Maria Kouspos
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Vishnu Priya Mohanakumar Sindhu
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Tracey Chau
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Dalia Maron
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Emily-Clare Mercieca
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kirsten Furley
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Katrina Harris
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Alexandra Ure
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kylie Gray
- Centre for Educational Development, Appraisal, and Research, University of Warwick, Coventry, CV4 7AL, UK.,Department of Psychiatry, School of Clinical Sciences, Monash University, 246 Clayton Rd, Melbourne, VIC, 3168, Australia
| | - David Coghill
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Ann Nicholson
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Dinh Phung
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Eva Loth
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Henry Welcome Building, Malet Street, London, WC1E 7HX, UK
| | - Declan Murphy
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| |
Collapse
|
31
|
Early-Life Environmental and Child Factors Associated with the Presence of Disruptive Behaviors in Seven-Year-Old Children with Autistic Traits in the Avon Longitudinal Study of Parents and Children. J Autism Dev Disord 2021; 52:2747-2761. [PMID: 34247301 PMCID: PMC9114014 DOI: 10.1007/s10803-021-05081-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2021] [Indexed: 11/04/2022]
Abstract
We studied the association of early-life environmental and child factors with disruptive behaviors in children with autistic traits around age 7, in the Avon Longitudinal Study of Parents and Children (n = 6,401). Logistic regression with the least absolute shrinkage and selection operator indicated that disruptive behaviors were associated with prenatal smoking, no seafood-consumption during pregnancy, breech presentation at delivery, neonatal feeding problems, low social-economic situation, suboptimal preschool family environment, maternal depression, maternal antisocial behavior, male sex, and difficult child temperament. Compared to controls, male sex, maternal depression, and suboptimal preschool family environment were related to autistic traits without disruptive behaviors. Thus, there may be a difference in early-life factors related to autism spectrum disorder with and without disruptive behaviors.
Collapse
|
32
|
Qian L, Li Y, Wang Y, Wang Y, Cheng X, Li C, Cui X, Jiao G, Ke X. Shared and Distinct Topologically Structural Connectivity Patterns in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Front Neurosci 2021; 15:664363. [PMID: 34177449 PMCID: PMC8226092 DOI: 10.3389/fnins.2021.664363] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 05/10/2021] [Indexed: 12/04/2022] Open
Abstract
Background Previous neuroimaging studies have described shared and distinct neurobiological mechanisms between autism spectrum disorders (ASDs) and attention-deficit/hyperactivity disorder (ADHD). However, little is known about the similarities and differences in topologically structural connectivity patterns between the two disorders. Methods Diffusion tensor imaging (DTI) and deterministic tractography were used to construct the brain white matter (WM) structural networks of children and adolescents (age range, 6–16 years); 31 had ASD, 34 had ADHD, and 30 were age- and sex-matched typically developing (TD) individuals. Then, graph theoretical analysis was performed to investigate the alterations in the global and node-based properties of the WM structural networks in these groups. Next, measures of ASD traits [Social Responsiveness Scale (SRS)] and ADHD traits (Swanson, Nolan, and Pelham, version IV scale, SNAP-IV) were correlated with the alterations to determine the functional significance of such changes. Results First, there were no significant differences in the global network properties among the three groups; moreover, compared with that of the TD group, nodal degree (Ki) of the right amygdala (AMYG.R) and right parahippocampal gyrus (PHG.R) were found in both the ASD and ADHD groups. Also, the ASD and ADHD groups shared four additional hubs, including the left middle temporal gyrus (MTG.L), left superior temporal gyrus (STG.L), left postcentral gyrus (PoCG.L), and right middle frontal gyrus (MFG.R) compared with the TD group. Moreover, the ASD and ADHD groups exhibited no significant differences regarding regional connectivity characteristics. Second, the ADHD group showed significantly increased nodal betweenness centrality (Bi) of the left hippocampus (HIP.L) compared with the ASD group; also, compared with the ADHD group, the ASD group lacked the left anterior cingulate gyrus (ACG.L) as a hub. Last, decreased nodal efficiency (Enodal) of the AMYG.R, Ki of the AMYG.R, and Ki of the PHG.R were associated with higher SRS scores in the ASD group. Decreased Ki of the PHG.R was associated with higher SRS scores in the full sample, whereas decreased Bi of the PHG.R was associated with lower oppositional defiance subscale scores of the SNAP-IV in the ADHD group, and decreased Bi of the HIP.L was associated with lower inattention subscale scores of the SNAP-IV in the full sample. Conclusion From the perspective of the topological properties of brain WM structural networks, ADHD and ASD have both shared and distinct features. More interestingly, some shared and distinct topological properties of WM structures are related to the core symptoms of these disorders.
Collapse
Affiliation(s)
- Lu Qian
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Yun Li
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Yao Wang
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Yue Wang
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Xin Cheng
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Chunyan Li
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Xiwen Cui
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Gongkai Jiao
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| | - Xiaoyan Ke
- Child Mental Health Research Center, Nanjing Brain Hospital Affiliated of Nanjing Medical University, Nanjing, China
| |
Collapse
|
33
|
Rodrigues R, Lai MC, Beswick A, Gorman DA, Anagnostou E, Szatmari P, Anderson KK, Ameis SH. Practitioner Review: Pharmacological treatment of attention-deficit/hyperactivity disorder symptoms in children and youth with autism spectrum disorder: a systematic review and meta-analysis. J Child Psychol Psychiatry 2021; 62:680-700. [PMID: 32845025 DOI: 10.1111/jcpp.13305] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/03/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Clinically significant attention-deficit/hyperactivity disorder (ADHD) symptoms are common and impairing in children and youth with autism spectrum disorder(ASD). The aim of this systematic review and meta-analysis was to (a) evaluate the efficacy and safety of pharmacotherapy for the treatment of ADHD symptoms in ASD and (b) distil findings for clinical translation. METHODS We searched electronic databases and clinical trial registries (1992 onwards). We selected randomized controlled trials conducted in participants <25 years of age, diagnosed with ASD that evaluated ADHD outcomes (hyperactivity/impulsivity and inattention) following treatment with stimulants (methylphenidate or amphetamines), atomoxetine, alpha-2 adrenergic receptor agonists, antipsychotics, tricyclic antidepressants, bupropion, modafinil, venlafaxine, or a combination, in comparison with placebo, any of the listed medications, or behavioral therapies. Data were pooled using a random-effects model. RESULTS Twenty-five studies (4 methylphenidate, 4 atomoxetine, 1 guanfacine, 14 antipsychotic, 1 venlafaxine, and 1 tianeptine) were included. Methylphenidate reduced hyperactivity (parent-rated: standardized mean difference [SMD] = -.63, 95%CI = -.95,-.30; teacher-rated: SMD = -.81, 95%CI = -1.43,-.19) and inattention (parent-rated: SMD = -.36, 95%CI = -.64,-.07; teacher-rated: SMD = -.30, 95%CI = -.49,-.11). Atomoxetine reduced inattention (parent-rated: SMD = -.54, 95%CI = -.98,-.09; teacher/investigator-rated: SMD = -0.38, 95%CI = -0.75, -0.01) and parent-rated hyperactivity (parent-rated: SMD = -.49, 95%CI = -.76,-.23; teacher-rated: SMD = -.43, 95%CI = -.92, .06). Indirect evidence for significant reductions in hyperactivity with second-generation antipsychotics was also found. Quality of evidence for all interventions was low/very low. Methylphenidate was associated with a nonsignificant elevated risk of dropout due to adverse events. CONCLUSIONS Direct pooled evidence supports the efficacy and tolerability of methylphenidate or atomoxetine for treatment of ADHD symptoms in children and youth with ASD. The current review highlights the efficacy of standard ADHD pharmacotherapy for treatment of ADHD symptoms in children and youth with ASD. Consideration of the benefits weighed against the limitations of safety/efficacy data and lack of data evaluating long-term continuation is undertaken to help guide clinical decision-making regarding treatment of co-occurring ADHD symptoms in children and youth with ASD.
Collapse
Affiliation(s)
- Rebecca Rodrigues
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Meng-Chuan Lai
- The Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Centre for Brain and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Adam Beswick
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Daniel A Gorman
- Centre for Brain and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Holland Bloorview Kids Rehabilitation Hospital, Bloorview Research Institute, Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Peter Szatmari
- The Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Centre for Brain and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Kelly K Anderson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Stephanie H Ameis
- The Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Centre for Brain and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
34
|
Mason D, Ronald A, Ambler A, Caspi A, Houts R, Poulton R, Ramrakha S, Wertz J, Moffitt TE, Happé F. Autistic traits are associated with faster pace of aging: Evidence from the Dunedin study at age 45. Autism Res 2021; 14:1684-1694. [PMID: 34042279 DOI: 10.1002/aur.2534] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/31/2021] [Accepted: 05/03/2021] [Indexed: 01/25/2023]
Abstract
Growing evidence indicates that the defining characteristics of autism spectrum disorder (ASD) are distributed throughout the general population; hence, understanding the correlates of aging in people with high autistic traits could shed light on ASD and aging. 915 members of the Dunedin longitudinal birth cohort completed a measure of autistic traits at age 45. A composite measure of the "pace of aging" was derived by tracking the decline in 19 biomarkers across ages 26, 32, 38, and 45 years. Facial age was also assessed. Reports of perceived health were collected from participants themselves, informants, and interviewers. Higher self-reported autistic traits significantly correlated with a faster pace of aging, older facial age, and poorer self-, informant-, and interviewer-rated health. After control for sex, SES and IQ, autistic traits were significantly associated with each variable: pace of aging (β = 0.09), facial age (β = 0.08), self- (β = -0.15), informant (β = -0.12), and interviewer-rated (β = -0.17) health. Autistic traits measured at age 45 are associated with faster aging. Participants with high autistic traits appear to be more vulnerable to poor health outcomes, as previously reported for those clinically diagnosed with ASD. Therefore, autistic traits may have important health implications. Replicating these findings in samples of autistic people is needed to identify the mechanism of their effect on aging and physical health to improve outcomes for those with ASD diagnoses or high autistic traits. LAY SUMMARY: The role that autistic traits have in relation to health outcomes has not been investigated. We looked at how physical health and aging (measured with self-reported questions and decline in multiple biological measures) were related to autistic traits (measured with a questionnaire, at age 45). We found that higher autistic traits were associated with poorer reports of physical health, and a faster pace of aging. This suggests that both those with autism and those with higher autistic traits may be more likely to experience poorer health outcomes.
Collapse
Affiliation(s)
- David Mason
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck University of London, London, United Kingdom
| | - Antony Ambler
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Avshalom Caspi
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA.,Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, USA.,PROMENTA Center, University of Oslo, Oslo, Norway
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Jasmin Wertz
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
| | - Terrie E Moffitt
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA.,Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, USA.,PROMENTA Center, University of Oslo, Oslo, Norway
| | - Francesca Happé
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| |
Collapse
|
35
|
Ezan J, Moreau MM, Mamo TM, Shimbo M, Decroo M, Richter M, Peyroutou R, Rachel R, Tissir F, de Anda FC, Sans N, Montcouquiol M. Early loss of Scribble affects cortical development, interhemispheric connectivity and psychomotor activity. Sci Rep 2021; 11:9106. [PMID: 33907211 PMCID: PMC8079449 DOI: 10.1038/s41598-021-88147-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 04/01/2021] [Indexed: 12/03/2022] Open
Abstract
Neurodevelopmental disorders arise from combined defects in processes including cell proliferation, differentiation, migration and commissure formation. The evolutionarily conserved tumor-suppressor protein Scribble (Scrib) serves as a nexus to transduce signals for the establishment of apicobasal and planar cell polarity during these processes. Human SCRIB gene mutations are associated with neural tube defects and this gene is located in the minimal critical region deleted in the rare Verheij syndrome. In this study, we generated brain-specific conditional cKO mouse mutants and assessed the impact of the Scrib deletion on brain morphogenesis and behavior. We showed that embryonic deletion of Scrib in the telencephalon leads to cortical thickness reduction (microcephaly) and partial corpus callosum and hippocampal commissure agenesis. We correlated these phenotypes with a disruption in various developmental mechanisms of corticogenesis including neurogenesis, neuronal migration and axonal connectivity. Finally, we show that Scrib cKO mice have psychomotor deficits such as locomotor activity impairment and memory alterations. Altogether, our results show that Scrib is essential for early brain development due to its role in several developmental cellular mechanisms that could underlie some of the deficits observed in complex neurodevelopmental pathologies.
Collapse
Affiliation(s)
- Jerome Ezan
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France.
| | - Maité M Moreau
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Tamrat M Mamo
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Miki Shimbo
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Maureen Decroo
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Melanie Richter
- Germany Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ronan Peyroutou
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Rivka Rachel
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, NIH, Bethesda, MD, 20892, USA
| | - Fadel Tissir
- Developmental Neurobiology Group, Institute of Neuroscience, University of Louvain, Avenue Mounier 73, Box B1.73.16, 1200, Brussels, Belgium
| | - Froylan Calderon de Anda
- Germany Center for Molecular Neurobiology Hamburg (ZMNH), Research Group Neuronal Development, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nathalie Sans
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France
| | - Mireille Montcouquiol
- Université de Bordeaux, INSERM, Neurocentre Magendie, U1215, 33077, Bordeaux, France.
| |
Collapse
|
36
|
Abstract
The term "Autism spectrum disorder" (ASD), in vogue at present, has evolved after continual substantial developments taking place over more than a century. ASD is a heterogeneous, multi-factorial, developmental disability in which an unusual pattern of development takes place during infant and toddler years. As per DSM-5, Autism spectrum disorder is a combined phrase for a family of complex developmental disabilities inclusive of "Autistic Disorder, Pervasive Developmental Disorder not Otherwise Specified (PDD-NOS), and Asperger's Disorder". "ASD is characterized not only by persistent impairments in reciprocal social communication and social interactions, but is also manifested by restricted, repetitive patterns of behavior, interests, or activities". The classical clinical signs that exist in two major domains, viz. the 'social domain' and the 'behavioral domain' for the precise diagnosis of ASD have been tabulated and major differences between DSM-5 and DSM-4 are depicted with the help of a figure in this basic review article. A sharp rise in the incidence of ASD cases has been observed worldwide owing to various risk factors such as genetic predisposition coupled with adverse environmental conditions, gynecological interventions, etc. Two official manuals viz. the "Diagnostic and Statistical Manual of Mental Disorders" (DSM) (published by the American Psychiatric Association), and the "International Classification of Diseases" (ICD) (published by the World Health Organization) is being regularly updated to facilitate diagnosis of ASD. ICD-11 guidelines being prospectively implemented with effect from January 2022 have attracted global attention.
Collapse
|
37
|
Donati G, Dumontheil I, Pain O, Asbury K, Meaburn EL. Evidence for specificity of polygenic contributions to attainment in English, maths and science during adolescence. Sci Rep 2021; 11:3851. [PMID: 33594131 PMCID: PMC7887196 DOI: 10.1038/s41598-021-82877-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 01/19/2021] [Indexed: 01/31/2023] Open
Abstract
How well one does at school is predictive of a wide range of important cognitive, socioeconomic, and health outcomes. The last few years have shown marked advancement in our understanding of the genetic contributions to, and correlations with, academic attainment. However, there exists a gap in our understanding of the specificity of genetic associations with performance in academic subjects during adolescence, a critical developmental period. To address this, the Avon Longitudinal Study of Parents and Children was used to conduct genome-wide association studies of standardised national English (N = 5983), maths (N = 6017) and science (N = 6089) tests. High SNP-based heritabilities (h2SNP) for all subjects were found (41-53%). Further, h2SNP for maths and science remained after removing shared variance between subjects or IQ (N = 3197-5895). One genome-wide significant single nucleotide polymorphism (rs952964, p = 4.86 × 10-8) and four gene-level associations with science attainment (MEF2C, BRINP1, S100A1 and S100A13) were identified. Rs952964 remained significant after removing the variance shared between academic subjects. The findings highlight the benefits of using environmentally homogeneous samples for genetic analyses and indicate that finer-grained phenotyping will help build more specific biological models of variance in learning processes and abilities.
Collapse
Affiliation(s)
- Georgina Donati
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
- Centre for Educational Neuroscience, University of London, London, UK
| | - Iroise Dumontheil
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
- Centre for Educational Neuroscience, University of London, London, UK
| | - Oliver Pain
- Social Genetic and Developmental Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Emma L Meaburn
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.
- Centre for Educational Neuroscience, University of London, London, UK.
| |
Collapse
|
38
|
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder that is known to have a polygenic (i.e., many genes of individually small effects) architecture. Polygenic scores (PGS), which characterize this polygenicity as a single score for a given individual, are considered the state-of-the-art in psychiatric genetics research. Despite the proliferation of ADHD studies adopting this approach and its clinical implications, remarkably little is known about the predictive utility of PGS in ADHD research to date, given that there have not yet been any systematic or meta-analytic reviews of this rapidly developing literature. We meta-analyzed 12 unique effect sizes from ADHD PGS studies, yielding an N = 40,088. These studies, which included a mixture of large population-based cohorts and case-control samples of predominantly European ancestry, yielded a pooled ADHD PGS effect size of rrandom = 0.201 (95% CI = [0.144, 0.288]) and an rfixed = 0.190 (95% CI = [0.180, 0.199]) in predicting ADHD. In other words, ADHD PGS reliably account for between 3.6% (in the fixed effects model) to 4.0% (in the random effects model) of the variance in broadly defined phenotypic ADHD. Findings provide important insights into the genetics of psychiatric outcomes and raise several key questions about the impact of PGS on psychiatric research moving forward. Our review concludes by providing recommendations for future research directions in the use of PGS, including new methods to account for comorbidities, integrating bioinformatics to elucidate biological pathways, and leveraging PGS to test mechanistic models of ADHD.
Collapse
Affiliation(s)
- James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA.
- Waisman Center, University of Wisconsin, WI, Madison, USA.
- Center for Demography of Health and Aging, University of Wisconsin, WI, Madison, USA.
| | - Quanfa He
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, WI, Madison, USA
| |
Collapse
|
39
|
Hedley D, Uljarević M, Cai RY, Bury SM, Stokes MA, Evans DW. Domains of the autism phenotype, cognitive control, and rumination as transdiagnostic predictors of DSM-5 suicide risk. PLoS One 2021; 16:e0245562. [PMID: 33482664 PMCID: PMC7822649 DOI: 10.1371/journal.pone.0245562] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/02/2021] [Indexed: 12/15/2022] Open
Abstract
Suicide is a global health problem affecting both normative and clinical populations. Theoretical models that examine mechanisms underlying suicide risk across heterogeneous samples are needed. The present study explored core characteristics associated with autism spectrum disorder (ASD), a sub-population at high risk of suicide, as well as two dimensional cognitive constructs, as potential transdiagnostic predictors of suicidal ideation in a clinically diverse sample. Participants (n = 1851, 62% female) aged 18 to 89 years completed online questionnaires assessing: social communication difficulties; insistence on sameness; cognitive control; and rumination. Forty-three percent of participants reported the presence of at least one neurodevelopmental or neuropsychiatric disorder. One third of the sample reported some suicidal ideation (SI), and 40 percent met the threshold for concern for depression. All hypothesized constructs were associated with SI and depression and, with the exception of rumination, contributed significantly to SI. Participants reporting SI returned significantly higher social communication difficulties and insistence on sameness, and lower levels of cognitive control than those reporting no-SI. The study was limited by the use of a cross-sectional sample assessed with self-report measures. All diagnoses were self-reported and the study was additionally limited by the use of a single item indicator of suicidal ideation. These findings support a role for constructs associated with the ASD phenotype and associated broad cognitive domains as potential risk factors underlying suicidal ideation in a large clinically diverse sample. Our findings suggest directions for future longitudinal research studies, along with specific targets for suicide prevention and clinical practice.
Collapse
Affiliation(s)
- Darren Hedley
- Olga Tennison Autism Research Centre, La Trobe University, Melbourne, Victoria, Australia
| | - Mirko Uljarević
- University of Melbourne, Melbourne, Victoria, Australia
- Stanford Autism Center, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, California, United States of America
| | - Ru Ying Cai
- Aspect Research Centre for Autism Practice, Melbourne, Victoria, Australia
| | - Simon M. Bury
- Olga Tennison Autism Research Centre, La Trobe University, Melbourne, Victoria, Australia
| | - Mark A. Stokes
- School of Psychology, Deakin University, Melbourne, Victoria, Australia
| | - David W. Evans
- Bucknell University, Lewisburg, Pennsylvania, United States of America
| |
Collapse
|
40
|
Piccardi ES, Begum Ali J, Jones EJH, Mason L, Charman T, Johnson MH, Gliga T. Behavioural and neural markers of tactile sensory processing in infants at elevated likelihood of autism spectrum disorder and/or attention deficit hyperactivity disorder. J Neurodev Disord 2021; 13:1. [PMID: 33390154 PMCID: PMC7780639 DOI: 10.1186/s11689-020-09334-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 11/04/2020] [Indexed: 12/29/2022] Open
Abstract
Backgrounds Atypicalities in tactile processing are reported in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) but it remains unknown if they precede and associate with the traits of these disorders emerging in childhood. We investigated behavioural and neural markers of tactile sensory processing in infants at elevated likelihood of ASD and/or ADHD compared to infants at typical likelihood of the disorders. Further, we assessed the specificity of associations between infant markers and later ASD or ADHD traits. Methods Ninety-one 10-month-old infants participated in the study (n = 44 infants at elevated likelihood of ASD; n = 20 infants at elevated likelihood of ADHD; n = 9 infants at elevated likelihood of ASD and ADHD; n = 18 infants at typical likelihood of the disorders). Behavioural and EEG responses to pairs of tactile stimuli were experimentally recorded and concurrent parental reports of tactile responsiveness were collected. ASD and ADHD traits were measured at 24 months through standardized assessment (ADOS-2) and parental report (ECBQ), respectively. Results There was no effect of infants’ likelihood status on behavioural markers of tactile sensory processing. Conversely, increased ASD likelihood associated with reduced neural repetition suppression to tactile input. Reduced neural repetition suppression at 10 months significantly predicted ASD (but not ADHD) traits at 24 months across the entire sample. Elevated tactile sensory seeking at 10 months moderated the relationship between early reduced neural repetition suppression and later ASD traits. Conclusions Reduced tactile neural repetition suppression is an early marker of later ASD traits in infants at elevated likelihood of ASD or ADHD, suggesting that a common pathway to later ASD traits exists despite different familial backgrounds. Elevated tactile sensory seeking may act as a protective factor, mitigating the relationship between early tactile neural repetition suppression and later ASD traits.
Collapse
Affiliation(s)
- Elena Serena Piccardi
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.
| | - Jannath Begum Ali
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, Psychology Department, King's College London, London, UK
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.,Department of Psychology, Cambridge University, Cambridge, UK
| | - Teodora Gliga
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.,Department of Psychology, University of East Anglia, Norwich, UK
| | | |
Collapse
|
41
|
Krakowski AD, Szatmari P, Crosbie J, Schachar R, Duku E, Georgiades S, Anagnostou E. Latent Structure of Combined Autistic and ADHD Symptoms in Clinical and General Population Samples: A Scoping Review. Front Psychiatry 2021; 12:654120. [PMID: 34987421 PMCID: PMC8721217 DOI: 10.3389/fpsyt.2021.654120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD. Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample. Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms. Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a "person-centered" (latent class analysis) vs. a "variable-centered" (factor analysis) approach.
Collapse
Affiliation(s)
- Aneta D Krakowski
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Peter Szatmari
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Hospital for Sick Children, Toronto, ON, Canada.,Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jennifer Crosbie
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Hospital for Sick Children, Toronto, ON, Canada
| | - Russell Schachar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Hospital for Sick Children, Toronto, ON, Canada
| | - Eric Duku
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, Canada
| | - Stelios Georgiades
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.,Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
42
|
Andersson A, Tuvblad C, Chen Q, Du Rietz E, Cortese S, Kuja-Halkola R, Larsson H. Research Review: The strength of the genetic overlap between ADHD and other psychiatric symptoms - a systematic review and meta-analysis. J Child Psychol Psychiatry 2020; 61:1173-1183. [PMID: 32157695 DOI: 10.1111/jcpp.13233] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 01/15/2020] [Accepted: 02/11/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with other psychiatric disorders. Twin studies have established that these co-occurrences are in part due to shared genetic risks. However, the strength of these genetic overlaps and the potential heterogeneity accounted for by type of psychiatric symptoms, age, and methods of assessment remain unclear. We conducted a systematic review to fill this gap. METHODS We searched PubMed, PsycINFO, Embase, and Web of Science until March 07, 2019. Genetic correlations (rg ) were used as effect size measures. RESULTS A total of 31 independent studies fulfilled the inclusion criteria. The pooled estimates showed that the associations between ADHD and other psychiatric symptoms were partly explained by shared genetic factors, with a pooled genetic correlation of 0.50, 95% confidence interval: 0.46-0.60. The genetic correlations (rg ) between ADHD and externalizing (rg = .49 [0.37-0.61]), internalizing (rg = .50 [0.39-0.69]), and neurodevelopmental (rg = .56 [0.47-0.66]) symptoms were similar in magnitude. The genetic correlations in childhood and adulthood were rg = .53 (0.43-0.63) and rg = .51 (0.44-0.56), respectively. For methods of assessment, the genetic correlations were also similar in strength, self-reports rg = .52 (0.47-0.58), other informants rg = .55 (0.41-0.69), and combined raters rg = .50 (0.33-0.65). CONCLUSIONS These findings indicate that the co-occurrence of externalizing, internalizing, and neurodevelopmental disorder symptoms in individuals with ADHD symptoms in part is due to a shared genetic risk.
Collapse
Affiliation(s)
| | - Catherine Tuvblad
- School of Psychology, Law and Social Work, Örebro University, Örebro, Sweden.,Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life sciences & Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK.,Solent NHS Trust, Southampton, UK.,Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK.,New York University Child Study Center, New York, NY, USA
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna, Sweden
| |
Collapse
|
43
|
Environmental risk factors, protective factors, and peripheral biomarkers for ADHD: an umbrella review. Lancet Psychiatry 2020; 7:955-970. [PMID: 33069318 DOI: 10.1016/s2215-0366(20)30312-6] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 05/07/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Many potential environmental risk factors, environmental protective factors, and peripheral biomarkers for ADHD have been investigated, but the consistency and magnitude of their effects are unclear. We aimed to systematically appraise the published evidence of association between potential risk factors, protective factors, or peripheral biomarkers, and ADHD. METHODS In this umbrella review of meta-analyses, we searched PubMed including MEDLINE, Embase, and the Cochrane Database of Systematic Reviews, from database inception to Oct 31, 2019, and screened the references of relevant articles. We included systematic reviews that provided meta-analyses of observational studies that examined associations of potential environmental risk factors, environmental protective factors, or peripheral biomarkers with diagnosis of ADHD. We included meta-analyses that used categorical ADHD diagnosis criteria according to DSM, hyperkinetic disorder according to ICD, or criteria that were less rigorous than DSM or ICD, such as self-report. We excluded articles that did not examine environmental risk factors, environmental protective factors, or peripheral biomarkers of ADHD; articles that did not include a meta-analysis; and articles that did not present enough data for re-analysis. We excluded non-human studies, primary studies, genetic studies, and conference abstracts. We calculated summary effect estimates (odds ratio [OR], relative risk [RR], weighted mean difference [WMD], Cohen's d, and Hedges' g), 95% CI, heterogeneity I2 statistic, 95% prediction interval, small study effects, and excess significance biases. We did analyses under credibility ceilings, and assessed the quality of the meta-analyses with AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews 2). This study is registered with PROSPERO, number CRD42019145032. FINDINGS We identified 1839 articles, of which 35 were eligible for inclusion. These 35 articles yielded 63 meta-analyses encompassing 40 environmental risk factors and environmental protective factors (median cases 16 850, median population 91 954) and 23 peripheral biomarkers (median cases 175, median controls 187). Evidence of association was convincing (class I) for maternal pre-pregnancy obesity (OR 1·63, 95% CI 1·49 to 1·77), childhood eczema (1·31, 1·20 to 1·44), hypertensive disorders during pregnancy (1·29, 1·22 to 1·36), pre-eclampsia (1·28, 1·21 to 1·35), and maternal acetaminophen exposure during pregnancy (RR 1·25, 95% CI 1·17 to 1·34). Evidence of association was highly suggestive (class II) for maternal smoking during pregnancy (OR 1·6, 95% CI 1·45 to 1·76), childhood asthma (1·51, 1·4 to 1·63), maternal pre-pregnancy overweight (1·28, 1·21 to 1·35), and serum vitamin D (WMD -6·93, 95% CI -9·34 to -4·51). INTERPRETATION Maternal pre-pregnancy obesity and overweight; pre-eclampsia, hypertension, acetaminophen exposure, and smoking during pregnancy; and childhood atopic diseases were strongly associated with ADHD. Previous familial studies suggest that maternal pre-pregnancy obesity, overweight, and smoking during pregnancy are confounded by familial or genetic factors, and further high-quality studies are therefore required to establish causality. FUNDING None.
Collapse
|
44
|
Hong JS, Singh V, Kalb L. Attention Deficit Hyperactivity Disorder Symptoms in Young Children with Autism Spectrum Disorder. Autism Res 2020; 14:182-192. [PMID: 33073542 DOI: 10.1002/aur.2414] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/28/2020] [Accepted: 09/30/2020] [Indexed: 11/11/2022]
Abstract
The purpose of the current study was to examine the prevalence of attention deficit hyperactivity disorder (ADHD) symptoms among young children with autism spectrum disorder (ASD), child and parent-related demographic and clinical correlates of ADHD symptoms, and the relationships between co-occurring mental health problems and ADHD symptoms. Data for this cross-sectional study came from 979 toddlers and preschoolers, ages 1.5-5 years, with ASD. The primary outcome, ADHD symptoms, was measured using the Child Behavior Check List 1.5-5 (CBCL). Additional information from the medical record included demographics, parenting stress, and Autism Diagnostic Observation Schedule Second Edition. Descriptive and bivariate (ANOVA, Chi-Square) statistics and multivariate, multinomial regression analyses were used to examine demographic and clinical differences between low, moderate, and high ADHD symptom groups, as defined by 2 ADHD-related subscales. There were 418 (43%) children in the low ADHD symptom group, 294 (30%) in the moderate ADHD symptom group, and 267 (27%) in the high ADHD symptom group. Those with high ADHD symptoms were less likely to be Black or Hispanic and less likely to have parents with a graduate-level education compared to those with low ADHD symptoms. Parenting stress and all CBCL DSM-oriented subscales were positively associated with increasing ADHD symptoms. Among young children with ASD, ADHD symptoms were highly prevalent. The presence of ADHD symptoms was associated with increasing parenting stress and greater levels of other psychopathologies. These data suggest that young children with ASD should be evaluated for ADHD, and mental health as a whole. LAY SUMMARY: We investigated attention deficit hyperactivity disorder (ADHD) symptoms in toddlers and preschoolers with autism spectrum disorder (ASD) from a large sample with diverse race and socioeconomic background. In our study, we found that ADHD symptoms are highly prevalent in young children with ASD and are associated with increasing parenting stress and greater level of other psychopathologies, both internalizing and externalizing problems.
Collapse
Affiliation(s)
- Ji S Hong
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vini Singh
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Luke Kalb
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| |
Collapse
|
45
|
Look duration at the face as a developmental endophenotype: elucidating pathways to autism and ADHD. Dev Psychopathol 2020; 32:1303-1322. [DOI: 10.1017/s0954579420000930] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractIdentifying developmental endophenotypes on the pathway between genetics and behavior is critical to uncovering the mechanisms underlying neurodevelopmental conditions. In this proof-of-principle study, we explored whether early disruptions in visual attention are a unique or shared candidate endophenotype of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). We calculated the duration of the longest look (i.e., peak look) to faces in an array-based eye-tracking task for 335 14-month-old infants with and without first-degree relatives with ASD and/or ADHD. We leveraged parent-report and genotype data available for a proportion of these infants to evaluate the relation of looking behavior to familial (n = 285) and genetic liability (using polygenic scores, n = 185) as well as ASD and ADHD-relevant temperament traits at 2 years of age (shyness and inhibitory control, respectively, n = 272) and ASD and ADHD clinical traits at 6 years of age (n = 94).Results showed that longer peak looks at the face were associated with elevated polygenic scores for ADHD (β = 0.078, p = .023), but not ASD (β = 0.002, p = .944), and with elevated ADHD traits in mid-childhood (F(1,88) = 6.401, p = .013, $\eta _p^2$=0.068; ASD: F (1,88) = 3.218, p = .076), but not in toddlerhood (ps > 0.2). This pattern of results did not emerge when considering mean peak look duration across face and nonface stimuli. Thus, alterations in attention to faces during spontaneous visual exploration may be more consistent with a developmental endophenotype of ADHD than ASD. Our work shows that dissecting paths to neurodevelopmental conditions requires longitudinal data incorporating polygenic contribution, early neurocognitive function, and clinical phenotypic variation.
Collapse
|
46
|
Miller M, Austin S, Iosif AM, de la Paz L, Chuang A, Hatch B, Ozonoff S. Shared and distinct developmental pathways to ASD and ADHD phenotypes among infants at familial risk. Dev Psychopathol 2020; 32:1323-1334. [PMID: 32933597 PMCID: PMC7891894 DOI: 10.1017/s0954579420000735] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are believed to share partially overlapping causal mechanisms suggesting that early risk markers may also overlap. Using latent profile analysis (LPA) in a sample of infants enriched for ASD and ADHD, we first examined the number of distinct groups of 3-year-old children, based on ADHD and ASD symptomatology. To investigate early predictors of ASD and ADHD symptom profiles, we next examined differences in trajectories of infant behaviors among the LPA classes spanning general development, negative affect, attention, activity level, impulsivity, and social behavior. Participants included 166 infants at familial risk for ASD (n = 89), ADHD (n = 38), or low-risk for both (n = 39) evaluated at 12, 18, 24, and 36 months of age. A three-class solution was selected reflecting a Typically Developing (TD) class (low symptoms; n = 108), an ADHD class (high ADHD/low ASD symptoms; n = 39), and an ASD class (high ASD/ADHD symptoms; n = 19). Trajectories of infant behaviors were generally suggestive of a gradient pattern of differences, with the greatest impairment within the ASD class followed by the ADHD class. These findings indicate a mixture of overlapping and distinct early markers of preschool ASD- and ADHD-like profiles that can be difficult to disentangle early in life.
Collapse
Affiliation(s)
- Meghan Miller
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Shane Austin
- Graduate Group in Biostatistics, University of California, Davis
| | - Ana-Maria Iosif
- Department of Public Health Sciences, University of California, Davis
| | - Leiana de la Paz
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Annie Chuang
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Burt Hatch
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| | - Sally Ozonoff
- Department of Psychiatry & Behavioral Sciences and MIND Institute, University of California, Davis
| |
Collapse
|
47
|
Talbott MR, Miller MR. Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic Perspective. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2020; 49:688-700. [PMID: 32701034 PMCID: PMC7541743 DOI: 10.1080/15374416.2020.1790382] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
By the time they are typically detected, neurodevelopmental disorders like autism spectrum disorder (ASD) are already challenging to treat. Preventive and early intervention strategies in infancy are critical for improving outcomes over the lifespan with significant cost savings. However, the impact of prevention and early intervention efforts is dependent upon our ability to identify infants most appropriate for such interventions. Because there may be significant overlap between prodromal symptoms across neurodevelopmental disorders and child psychopathology more broadly which may wax and wane across development, we contend that the impact of prevention and early intervention efforts will be heightened by identifying early indicators that may overlap across ASD and other commonly co-occurring disorders. This paper summarizes the existing literature on infant symptoms and identification of ASD to demonstrate the ways in which a transdiagnostic perspective could expand the impact of early identification and intervention research and clinical efforts, and to outline suggestions for future empirical research programs addressing current gaps in the identification-to-treatment pipeline. We propose four recommendations for future research that are both grounded in developmental and clinical science and that are scalable for early intervention systems: (1) development of fine-grained, norm-referenced measures of ASD-relevant transdiagnostic behavioral domains; (2) identification of shared and distinct mechanisms influencing the transition from risk to disorder; (3) determination of key cross-cutting treatment strategies (both novel and extracted from existing approaches) effective in targeting specific domains across disorders; and (4) integration of identified measures and treatments into existing service systems.
Collapse
Affiliation(s)
- Meagan R Talbott
- MIND Institute and Department of Psychiatry & Behavioral Sciences, University of California
| | - Meghan R Miller
- MIND Institute and Department of Psychiatry & Behavioral Sciences, University of California
| |
Collapse
|
48
|
Brikell I, Larsson H, Lu Y, Pettersson E, Chen Q, Kuja-Halkola R, Karlsson R, Lahey BB, Lichtenstein P, Martin J. The contribution of common genetic risk variants for ADHD to a general factor of childhood psychopathology. Mol Psychiatry 2020; 25:1809-1821. [PMID: 29934545 PMCID: PMC6169728 DOI: 10.1038/s41380-018-0109-2] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 04/01/2018] [Accepted: 05/14/2018] [Indexed: 01/20/2023]
Abstract
Common genetic risk variants have been implicated in the etiology of clinical attention-deficit/hyperactivity disorder (ADHD) diagnoses and symptoms in the general population. However, given the extensive comorbidity across ADHD and other psychiatric conditions, the extent to which genetic variants associated with ADHD also influence broader psychopathology dimensions remains unclear. The aim of this study was to evaluate the associations between ADHD polygenic risk scores (PRS) and a broad range of childhood psychiatric symptoms, and to quantify the extent to which such associations can be attributed to a general factor of childhood psychopathology. We derived ADHD PRS for 13,457 children aged 9 or 12 from the Child and Adolescent Twin Study in Sweden, using results from an independent meta-analysis of genome-wide association studies of ADHD diagnosis and symptoms. We estimated associations between ADHD PRS, a general psychopathology factor, and several dimensions of neurodevelopmental, externalizing, and internalizing symptoms, using structural equation modeling. Higher ADHD PRS were statistically significantly associated with elevated neurodevelopmental, externalizing, and depressive symptoms (R2 = 0.26-1.69%), but not with anxiety. After accounting for a general psychopathology factor, on which all symptoms loaded positively (mean loading = 0.50, range = 0.09-0.91), an association with specific hyperactivity/impulsivity remained significant. ADHD PRS explained ~ 1% (p value < 0.0001) of the variance in the general psychopathology factor and ~ 0.50% (p value < 0.0001) in specific hyperactivity/impulsivity. Our results suggest that common genetic risk variants associated with ADHD, and captured by PRS, also influence a general genetic liability towards broad childhood psychopathology in the general population, in addition to a specific association with hyperactivity/impulsivity symptoms.
Collapse
Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Statistical Genetics, Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Erik Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Joanna Martin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| |
Collapse
|
49
|
Itahashi T, Fujino J, Hashimoto RI, Tachibana Y, Sato T, Ohta H, Nakamura M, Kato N, Eickhoff SB, Cortese S, Aoki YY. Transdiagnostic subtyping of males with developmental disorders using cortical characteristics. NEUROIMAGE-CLINICAL 2020; 27:102288. [PMID: 32526684 PMCID: PMC7284124 DOI: 10.1016/j.nicl.2020.102288] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 03/23/2020] [Accepted: 05/04/2020] [Indexed: 11/19/2022]
Abstract
Overlapping diagnosis and within-diagnosis heterogeneity was often reported in ASD. ASD and ADHD were subtyped regardless of diagnosis using cortical characteristics. The analysis revealed the number of subtypes as two. The boundary of the subtypes did not match the diagnostic boundary. The membership of subtypes was robust against the choice of an atlas.
Background Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are biologically heterogeneous and often co-occur. As within-diagnosis heterogeneity and overlapping diagnoses are challenging for researchers and clinicians, identifying biologically homogenous subgroups, independent of diagnosis, is an urgent need. Methods MRI data from 148 adult males with developmental disorders (99 primary ASD, mean age = 31.7 ± 8.0, 49 primary ADHD; mean age = 31.7 ± 9.6) and 105 neurotypical controls (NTC; mean age = 30.6 ± 6.8) were analyzed. We extracted mean cortical thickness (CT) and surface area (SA) values using a functional atlas. Then, we conducted HeterogeneitY through DiscRiminant Analysis (HYDRA) to transdiagnostically cluster and classify individuals. Differences in diagnostic likelihood and clinical symptoms between subtypes were tested. Sensitivity analyses tested the stability of the number of subtypes and their membership by excluding 13 participants diagnosed with both ASD and ADHD and by using a different atlas. Results In relation to both CT and SA, HYDRA identified two subtypes. The likelihood of ASD or ADHD was not significantly different from the chance of belonging to any of these two subtypes. Clinical characteristics did not differ between subtypes in either CT or SA based analyses. The high consistency in membership was replicated when utilizing a different atlas or excluding people with dual diagnoses in CT (dice coefficients > 0.94) and in SA (>0.88). Conclusion Although the brain-derived subtypes do not match diagnostic groups, individuals with developmental disorders were successfully and stably subtyped using either CT or SA.
Collapse
Affiliation(s)
- Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Junya Fujino
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryu-Ichiro Hashimoto
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan; Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Yoshiyuki Tachibana
- Division of Infant and Toddler Mental Health, Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Taku Sato
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Haruhisa Ohta
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Motoaki Nakamura
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Nobumasa Kato
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Samuele Cortese
- New York University Child Study Center, New York, NY, USA; Center for Innovation in Mental Health, Academic Unit of Psychology, University of Southampton, UK; Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, UK; Solent NHS Trust, Southampton, UK; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Yuta Y Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan.
| |
Collapse
|
50
|
Krakowski AD, Cost KT, Anagnostou E, Lai MC, Crosbie J, Schachar R, Georgiades S, Duku E, Szatmari P. Inattention and hyperactive/impulsive component scores do not differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample. Mol Autism 2020; 11:28. [PMID: 32334619 PMCID: PMC7183643 DOI: 10.1186/s13229-020-00338-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 04/15/2020] [Indexed: 12/23/2022] Open
Abstract
Background Although there is high co-occurrence between ASD and ADHD, the nature of this co-occurrence remains unclear. Our study aimed to examine the underlying relationship between ASD and ADHD symptoms in a combined sample of children with a primary clinical diagnosis of ASD or ADHD. Methods Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 303) or ADHD (n = 319) for a total of 622 participants. Parents of these children completed the social communication questionnaire (SCQ), a measure of autism symptoms, and the strengths and weaknesses of ADHD and normal behavior (SWAN) questionnaire, a measure of ADHD symptoms. A principal component analysis (PCA) was performed on combined SCQ and SWAN items, followed by a profile analysis comparing normalized component scores between diagnostic groups and gender. Results PCA revealed a four-component solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviors, and interests (RRBI)), with no overlap between SCQ and SWAN items in the components. Children with ASD had higher component scores in social-communication and RRBI than children with ADHD, while there was no difference in inattentive and hyperactive/impulsive scores between diagnostic groups. Males had higher scores than females in social-communication, RRBI, and hyperactivity/impulsivity components in each diagnostic group. Limitations We did not formally assess children with ASD for ADHD using our research-criteria for ADHD, and vice versa. High rates of co-occurring ADHD in ASD, for example, may have inflated component scores in inattention and hyperactivity/impulsivity. A disadvantage with using single informant-based reports (i.e., parent-rated questionnaires) is that ASD and ADHD symptoms may be difficult to distinguish by parents, and may be interpreted differently between parents and clinicians. Conclusions ASD and ADHD items loaded on separate components in our sample, suggesting that the measurement structure cannot explain the covariation between the two disorders in clinical samples. High levels of inattention and hyperactivity/impulsivity were seen in both ASD and ADHD in our clinical sample. This supports the need for a dimensional framework that examines neurodevelopmental domains across traditional diagnostic boundaries. Females also had lower component scores across social-communication, RRBI, and hyperactivity/impulsivity than males, suggesting that there may be gender-specific phenotypes related to the two conditions.
Collapse
Affiliation(s)
- Aneta D Krakowski
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.
| | - Katherine Tombeau Cost
- Department of Psychiatry, The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, M4G 1R8, Canada.,Department of Pediatrics, University of Toronto, Toronto, Ontario, M5G 1X8, Canada
| | - Meng-Chuan Lai
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.,Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Azrieli Adult Neurodevelopmental Centre, and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M6J 1H4, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, M5G 1X8, Canada.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, 10002, Taiwan
| | - Jennifer Crosbie
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, M5G 1X8, Canada
| | - Russell Schachar
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, M5G 1X8, Canada
| | - Stelios Georgiades
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, L8S 4 K1, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, L8P 0A1, Canada
| | - Eric Duku
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, L8S 4 K1, Hamilton, ON, Canada.,Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, L8P 0A1, Canada
| | - Peter Szatmari
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.,Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Azrieli Adult Neurodevelopmental Centre, and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M6J 1H4, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, M5G 1X8, Canada
| |
Collapse
|