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Barkley SB, Day T, Lerner MD, Nelson BD. Autism, Personality Pathology, and the Neural Response to Rewards. J Autism Dev Disord 2025:10.1007/s10803-025-06789-w. [PMID: 40080348 DOI: 10.1007/s10803-025-06789-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2025] [Indexed: 03/15/2025]
Abstract
The autism social motivation hypothesis suggests that diminished reward value of social stimuli contributes to deficits in social motivation. Research indicates that autistic individuals show decreased neural responding to both social and non-social reward, suggesting domain-general reward system differences. However, autism is heterogenous with extensive co-occurring psychopathology, and the autism phenotype may not be the best way to understand its relationship with neural reward response. Autism has been associated with normative and pathological personality domains that may better represent the heterogeneity and comorbidity of autism. The present study examined associations between autism traits, pathological personality, and the neural response to multiple reward types. The sample included 18-33-year-old undergraduates who completed monetary, social, and restricted interests reward tasks while we recorded electroencephalography to measure the reward positivity (RewP), an event-related potential indicator of reward sensitivity. Participants completed self-report measures of autism traits and the pathological personality traits negative emotionality, detachment, and anankastia. Autism traits were not directly related to the RewP but were positively associated with pathological personality dimensions. Across all reward tasks, negative emotionality was related to a larger RewP while detachment and anankastia were related to a smaller RewP. All three pathological personality dimensions mediated the relationship between autism traits and the RewP. The present study suggests that autism and neural reward response is at least partially mediated by comorbid psychopathology. Moreover, the results are inconsistent with the social motivation hypothesis and instead suggest that autism is linked to domain-general neural response to rewards.
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Affiliation(s)
- Sarah B Barkley
- Department of Psychology, Psychology B, Stony Brook University, Stony Brook, NY, 11794, USA.
| | - Talena Day
- Department of Psychology, Psychology B, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Matthew D Lerner
- Department of Psychology, Psychology B, Stony Brook University, Stony Brook, NY, 11794, USA
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St 560, Philadelphia, PA, 19104, USA
| | - Brady D Nelson
- Department of Psychology, Psychology B, Stony Brook University, Stony Brook, NY, 11794, USA
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Martini MI, Butwicka A, Du Rietz E, Kanina A, Rosenqvist MA, Larsson H, Lichtenstein P, Taylor MJ. Age effects on autism heritability and etiological stability of autistic traits. J Child Psychol Psychiatry 2024; 65:1135-1144. [PMID: 38239074 DOI: 10.1111/jcpp.13949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/19/2023] [Indexed: 02/20/2024]
Abstract
BACKGROUND Autism and autistic traits onset in childhood but persist into adulthood. Little is known about how genetic and environmental factors influence autism and autistic traits into adulthood. We aimed to determine age effects on the heritability of clinically diagnosed autism and the etiological stability of autistic traits from childhood to adulthood using twin methods. METHODS From 23,849 twin pairs in the Swedish Twin Register born between 1959 and 2010, we identified 485 individuals (1.01%, 31.5% female) with a clinical autism diagnosis. We estimated and compared the relative contribution of genetic, shared, and nonshared environmental influences to autism in childhood and adulthood. We further used multivariate twin analysis with four measurement points among 1,348 twin pairs in the longitudinal Twin Study of Child and Adolescent Development to assess the phenotypic and etiological stability of autistic traits - measured with three scales from the Child Behavior Checklist - from childhood to adulthood. RESULTS Autism heritability was comparable from childhood, (96% [95% CI, 76-99%]) to adulthood (87% [67-96%]). Autistic traits were moderately stable (phenotypic correlation = 0.35-0.61) from childhood to adulthood, and their heritability varied between 52 and 71%. We observed stable as well as newly emerging genetic influences on autistic traits from ages 8-9 to 19-20, and unique nonshared environmental influences at each age. CONCLUSIONS Genetic factors are important for autism and autistic traits in adulthood and separate genetic studies in adults are warranted.
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Affiliation(s)
- Miriam I Martini
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Agnieszka Butwicka
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Division of Mental Health Services, R&D Department, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Aleksandra Kanina
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mina A Rosenqvist
- 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
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mark J Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Sandin S, Yip BHK, Yin W, Weiss LA, Dougherty JD, Fass S, Constantino JN, Hailin Z, Turner TN, Marrus N, Gutmann DH, Sanders SJ, Christoffersson B. Examining Sex Differences in Autism Heritability. JAMA Psychiatry 2024; 81:673-680. [PMID: 38630491 PMCID: PMC11024771 DOI: 10.1001/jamapsychiatry.2024.0525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/01/2024] [Indexed: 04/20/2024]
Abstract
Importance Autism spectrum disorder (ASD) is a neurodevelopmental disorder more prevalent in males than in females. The cause of ASD is largely genetic, but the association of genetics with the skewed sex ratio is not yet understood. To our knowledge, no large population-based study has provided estimates of heritability by sex. Objective To estimate the sex-specific heritability of ASD. Design, Setting, and Participants This was a population-based, retrospective analysis using national health registers of nontwin siblings and cousins from Sweden born between January 1, 1985, and December 31, 1998, with follow-up to 19 years of age. Data analysis occurred from August 2022 to November 2023. Main Outcomes and Measures Models were fitted to estimate the relative variance in risk for ASD occurrence owing to sex-specific additive genetics, shared environmental effects, and a common residual term. The residual term conceptually captured other factors that promote individual behavioral variation (eg, maternal effects, de novo variants, rare genetic variants not additively inherited, or gene-environment interactions). Estimates were adjusted for differences in prevalence due to birth year and maternal and paternal age by sex. Results The sample included 1 047 649 individuals in 456 832 families (538 283 males [51.38%]; 509 366 females [48.62%]). Within the entire sample, 12 226 (1.17%) received a diagnosis of ASD, comprising 8128 (1.51%) males and 4098 (0.80%) females. ASD heritability was estimated at 87.0% (95% CI, 81.4%-92.6%) for males and 75.7% (95% CI, 68.4%-83.1%) for females with a difference in heritability estimated at 11.3% (95% CI, 1.0%-21.6%). There was no support for shared environmental contributions. Conclusions and Relevance These findings suggest that the degree of phenotypic variation attributable to genetic differences (heritability) differs between males and females, indicating that some of the underlying causes of the condition may differ between the 2 sexes. The skewed sex ratio in ASD may be partly explained by differences in genetic variance between the sexes.
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Affiliation(s)
- Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
- Seaver Autism Center for Research and Treatment at Mount Sinai, New York, New York
| | - Benjamin H. K. Yip
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR
| | - Weiyao Yin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lauren A. Weiss
- Institute for Human Genetics, University of California San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
- Weill Institute for Neurosciences, University of California San Francisco
| | - Joseph D. Dougherty
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St Louis, Missouri
| | - Stuart Fass
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - John N. Constantino
- Pediatric Institute, Emory University School of Medicine, Atlanta, Georgia
- Children’s Healthcare of Atlanta, Atlanta, Georgia
| | - Zhu Hailin
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR
| | - Tychele N. Turner
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St Louis, Missouri
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - David H. Gutmann
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
- Neurofibromatosis Center, Washington University School of Medicine, St Louis, Missouri
| | - Stephan J. Sanders
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco
| | - Benjamin Christoffersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Churney ApS, Copenhagen, Denmark
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Lineback K, Baer HC, Zhang Y, Hartenbach D, Mills-Koonce WR, Willoughby MT, Glowinski AL, Constantino JN, Marrus N. Independent Contributions of Callous-Unemotional Behaviors and Quantitative Autistic Traits to Aggression in Early Childhood. JAACAP OPEN 2024; 2:100-111. [PMID: 39554203 PMCID: PMC11562414 DOI: 10.1016/j.jaacop.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 11/19/2024]
Abstract
Objective Callous-unemotional (CU) behaviors and quantitative autistic traits (QATs), heritable domains implicated in social development, are both associated with reduced prosocial behavior and increased aggression at their clinical extremes. However, they are hypothesized to contribute to aggression through separate mechanisms. This study tested whether CU behaviors and QATs exhibited distinct profiles of heritable influences as well as independent contributions to early childhood aggression in a general population sample with enhanced sensitivity to clarify these relationships. Method Parents of 3- to 4-year-old epidemiologically representative twins ascertained from birth records (N = 113 pairs) completed questionnaires measuring CU behaviors, QATs, and aggression. Correlation coefficients indexed overlap across behaviors. Intraclass correlations were compared between monozygotic and dizygotic twins to characterize relative genetic and environmental influences. Generalized estimating equations tested contributions of CU subdomains, verified via factor analysis, and QATs to aggression. Results Total CU scores strongly correlated with QATs (r = 0.54) and aggression (r = 0.55), while QATs correlated moderately with aggression (r = 0.38). Among 3 identified CU factors, the uncaring factor strongly correlated with QATs (r = 0.52), while unemotional and callous factors showed small correlations (r = 0.25 and r = 0.16, respectively). QATs, aggression, and all CU factors except the callous factor showed heritable influences. Uncaring and callous factors as well as QATs demonstrated unique and shared contributions to aggression, with the callous factor being moderated by sex. Conclusion Partially overlapping relations support distinct mechanisms whereby CU behaviors, in particular the callous factor, and QATs contribute to early aggression. In-depth social developmental assessment may enhance personalized intervention for aggression in early childhood. Diversity & Inclusion Statement We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure sex balance in the selection of non-human subjects. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science.
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Affiliation(s)
| | - Holly C. Baer
- Washington University School of Medicine in St. Louis, Missouri
| | - Yi Zhang
- Washington University School of Medicine in St. Louis, Missouri
| | | | | | | | - Anne L. Glowinski
- Washington University School of Medicine in St. Louis, Missouri
- University of California San Francisco, California
| | - John N. Constantino
- Washington University School of Medicine in St. Louis, Missouri
- Emory University School of Medicine, Atlanta, Georgia
| | - Natasha Marrus
- Washington University School of Medicine in St. Louis, Missouri
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Dougherty JD, Marrus N, Maloney SE, Yip B, Sandin S, Turner TN, Selmanovic D, Kroll KL, Gutmann DH, Constantino JN, Weiss LA. Can the "female protective effect" liability threshold model explain sex differences in autism spectrum disorder? Neuron 2022; 110:3243-3262. [PMID: 35868305 PMCID: PMC9588569 DOI: 10.1016/j.neuron.2022.06.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/09/2022] [Accepted: 06/24/2022] [Indexed: 11/25/2022]
Abstract
Male sex is a strong risk factor for autism spectrum disorder (ASD). The leading theory for a "female protective effect" (FPE) envisions males and females have "differing thresholds" under a "liability threshold model" (DT-LTM). Specifically, this model posits that females require either a greater number or larger magnitude of risk factors (i.e., greater liability) to manifest ASD, which is supported by the finding that a greater proportion of females with ASD have highly penetrant genetic mutations. Herein, we derive testable hypotheses from the DT-LTM for ASD, investigating heritability, familial recurrence, correlation between ASD penetrance and sex ratio, population traits, clinical features, the stability of the sex ratio across diagnostic changes, and highlight other key prerequisites. Our findings reveal that several key predictions of the DT-LTM are not supported by current data, requiring us to establish a different conceptual framework for evaluating alternate models that explain sex differences in ASD.
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Affiliation(s)
- Joseph D Dougherty
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA.
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan E Maloney
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Benjamin Yip
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Seaver Autism Center for Research and Treatment at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tychele N Turner
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA; Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Din Selmanovic
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kristen L Kroll
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Lauren A Weiss
- Institute for Human Genetics, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
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An evaluation of the diagnostic validity of the structured questionnaires of the adult Asperger's Assessment. J Autism Dev Disord 2022:10.1007/s10803-022-05544-9. [PMID: 35441251 DOI: 10.1007/s10803-022-05544-9] [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: 03/20/2022] [Indexed: 10/18/2022]
Abstract
The Adult Autism Quotient (AQ), the Empathy Quotient (EQ) and the Relative's Questionnaire (RQ) were used as part of the Adult Asperger's Assessment (AAA) by a diagnostic service for adults without an intellectual disability with suspected autism spectrum disorder (ASD). This service is part of the National Health Service (NHS) in England. Little is known about the utility of these structured questionnaires despite wide use in clinical practice. It was investigated whether the questionnaires could discriminate between individuals with and without a diagnosis of ASD. Receiver Operating Curve analysis showed good levels of sensitivity to detect a positive diagnosis, but the specificity to exclude those without a diagnosis was poor. A binary logistic regression showed that a combination of the questionnaires also showed limited diagnostic validity. These findings have clinical implications in reviewing the efficiency of the assessment process.
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Kim JI, Lee J, Lee KS, Lee YA, Shin CH, Hong YC, Kim BN, Lim YH. Association of phthalate exposure with autistic traits in children. ENVIRONMENT INTERNATIONAL 2021; 157:106775. [PMID: 34314979 DOI: 10.1016/j.envint.2021.106775] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/08/2021] [Accepted: 07/12/2021] [Indexed: 05/23/2023]
Abstract
BACKGROUND Phthalates are synthetic chemicals with endocrine-disrupting properties. They are reportedly associated with various neurotoxic outcomes. Studies on exposure to phthalates and children's autistic traits have shown inconsistent results with respect to sex and susceptible time periods. We investigated the association of phthalate exposure during the prenatal period and childhood with autistic traits over time using a birth cohort in South Korea. METHODS Five phthalate metabolites were measured during mid-term pregnancy and children's follow-up at ages of 4, 6, and 8 years among a total of 547 mother-child pairs. The social communication questionnaire (SCQ) was used to assess autistic traits of children at each time point. The relationship between phthalate metabolites and SCQ scores were analyzed by exposure windows and sex. RESULTS A 2.7 fold increase in di-(2-ethylhexyl) phthalate metabolite levels, mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) during pregnancy was associated with increased SCQ scores at 4 years by 8.5% (95% confidence intervals [CI]: 1.9%, 15.5%) and 7.4% (95% CI: 0.3%, 15.0%), respectively, but not at the age of 6 or 8 years. Moreover, MEHHP levels at ages of 4 and 8 years were associated with increased SCQ scores at 8 years by 9.9% (95% CI: 1.8%, 18.6%) and 9.6% (95% CI: 1.3%, 18.6%), respectively. Boys showed stronger associations between phthalate exposure and SCQ scores than girls. CONCLUSION The study suggested different susceptible time windows of phthalate exposure: exposure during pregnancy is associated with autistic traits in young children, whereas exposure during early childhood years leads to autistic traits in school-aged children, particularly boys.
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Affiliation(s)
- Johanna Inhyang Kim
- Department of Psychiatry, Hanyang University Medical Center, Seoul, Republic of Korea
| | - Jung Lee
- Integrative Care Hub, Children's Hospital, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kyung-Shin Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Young Ah Lee
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Choong Ho Shin
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, South Korea
| | - Bung-Nyun Kim
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Youn-Hee Lim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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Reed ZE, Larsson H, Haworth CMA, Rai D, Lundström S, Ronald A, Reichenberg A, Lichtenstein P, Davis OSP. Mapping the genetic and environmental aetiology of autistic traits in Sweden and the United Kingdom. JCPP ADVANCES 2021; 1:e12039. [PMID: 35992618 PMCID: PMC9379966 DOI: 10.1002/jcv2.12039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/16/2021] [Indexed: 12/03/2022] Open
Abstract
Background Autistic traits are influenced by both genetic and environmental factors, and are known to vary geographically in prevalence. But to what extent does their aetiology also vary from place to place? Methods We applied a novel spatial approach to data on autistic traits from two large twin studies, the Child and Adolescent Twin Study in Sweden (CATSS; N = 16,677, including 8307 twin pairs) and the Twins Early Development Study in the UK (TEDS; N = 11,594, including 5796 twin pairs), to explore how the influence of nature and nurture on autistic traits varies from place to place. Results We present maps of gene‐ and environment‐ by geography interactions in Sweden and the United Kingdom (UK), showing geographical variation in both genetic and environmental influences across the two countries. In Sweden genetic influences appear higher in the far south and in a band running across the centre of the country. Environmental influences appear greatest in the south and north, with reduced environmental influence across the central band. In the UK genetic influences appear greater in the south, particularly in more central southern areas and the southeast, the Midlands and the north of England. Environmental influences appear greatest in the south and east of the UK, with less influence in the north and the west. Conclusions We hope this systematic approach to identifying aetiological interactions will inspire research to examine a wider range of previously unknown environmental influences on the aetiology of autistic traits. By doing so, we will gain greater understanding of how these environments draw out or mask genetic predisposition and interact with other environmental influences in the development of autistic traits.
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Affiliation(s)
- Zoe E. Reed
- MRC Integrative Epidemiology Unit University of Bristol Bristol UK
- Department of Population Health Sciences Bristol Medical School University of Bristol Bristol UK
| | - Henrik Larsson
- School of Medical Sciences Örebro University Örebro Sweden
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Solna Sweden
| | - Claire M. A. Haworth
- National Institute for Health Research Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol UK
- School of Psychological Science University of Bristol Bristol UK
- The Alan Turing Institute London UK
| | - Dheeraj Rai
- Department of Population Health Sciences Bristol Medical School University of Bristol Bristol UK
- National Institute for Health Research Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol UK
- Avon and Wiltshire Partnership NHS Mental Health Trust Bath UK
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre Centre for Ethics, Law and Mental Health University of Gothenburg Gothenburg Sweden
| | - Angelica Ronald
- Department of Psychological Sciences Birkbeck, University of London London UK
| | - Abraham Reichenberg
- Department of Psychiatry and Seaver Autism Center for Research and Treatment Ichan School of Medicine at Mount Sinai New York City New York USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Solna Sweden
| | - Oliver S. P. Davis
- MRC Integrative Epidemiology Unit University of Bristol Bristol UK
- Department of Population Health Sciences Bristol Medical School University of Bristol Bristol UK
- National Institute for Health Research Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol UK
- The Alan Turing Institute London UK
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Sarovic D. A Unifying Theory for Autism: The Pathogenetic Triad as a Theoretical Framework. Front Psychiatry 2021; 12:767075. [PMID: 34867553 PMCID: PMC8637925 DOI: 10.3389/fpsyt.2021.767075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/27/2021] [Indexed: 12/27/2022] Open
Abstract
This paper presents a unifying theory for autism by applying the framework of a pathogenetic triad to the scientific literature. It proposes a deconstruction of autism into three contributing features (an autistic personality dimension, cognitive compensation, and neuropathological risk factors), and delineates how they interact to cause a maladaptive behavioral phenotype that may require a clinical diagnosis. The autistic personality represents a common core condition, which induces a set of behavioral issues when pronounced. These issues are compensated for by cognitive mechanisms, allowing the individual to remain adaptive and functional. Risk factors, both exogenous and endogenous ones, show pathophysiological convergence through their negative effects on neurodevelopment. This secondarily affects cognitive compensation, which disinhibits a maladaptive behavioral phenotype. The triad is operationalized and methods for quantification are presented. With respect to the breadth of findings in the literature that it can incorporate, it is the most comprehensive model yet for autism. Its main implications are that (1) it presents the broader autism phenotype as a non-pathological core personality domain, which is shared across the population and uncoupled from associated features such as low cognitive ability and immune dysfunction, (2) it proposes that common genetic variants underly the personality domain, and that rare variants act as risk factors through negative effects on neurodevelopment, (3) it outlines a common pathophysiological mechanism, through inhibition of neurodevelopment and cognitive dysfunction, by which a wide range of endogenous and exogenous risk factors lead to autism, and (4) it suggests that contributing risk factors, and findings of immune and autonomic dysfunction are clinically ascertained rather than part of the core autism construct.
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Affiliation(s)
- Darko Sarovic
- Gillberg Neuropsychiatry Centre, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden.,MedTech West, Gothenburg, Sweden
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10
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Haraguchi H, Stickley A, Saito A, Takahashi H, Kamio Y. Stability of Autistic Traits from 5 to 8 Years of Age Among Children in the General Population. J Autism Dev Disord 2019; 49:324-334. [PMID: 30291497 PMCID: PMC6331487 DOI: 10.1007/s10803-018-3770-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Little is known about the across time stability of autistic traits during the transition period from preschool to school age in the general population. The current study compared autistic traits assessed by a mother-reported quantitative measure, the Social Responsiveness Scale, at age 5 and 8 years and examined the intraclass correlation coefficients of scores across the period for 168 Japanese community-based children. Results showed that total and two subdomain-related autistic trait scores remained primarily stable in males and females. This stability was observed for both children with higher and lower autistic traits scores with a possible sex-specific pattern. Our findings suggest that autistic traits in the general population can be reliably assessed using quantitative measures for this age period.
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Affiliation(s)
- Hideyuki Haraguchi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553 Japan
| | - Andrew Stickley
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553 Japan
- The Stockholm Center for Health and Social Change (SCOHOST), Södertörn University, 141 89 Huddinge, Sweden
| | - Aya Saito
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553 Japan
- Institute for Educational and Human Development, Ochanomizu University, 2-1-1 Ohtsuka, Bunkyo-ku, Tokyo, 112-8610 Japan
| | - Hidetoshi Takahashi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553 Japan
| | - Yoko Kamio
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553 Japan
- Institute for Educational and Human Development, Ochanomizu University, 2-1-1 Ohtsuka, Bunkyo-ku, Tokyo, 112-8610 Japan
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11
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Mandy W, Pellicano L, St Pourcain B, Skuse D, Heron J. The development of autistic social traits across childhood and adolescence in males and females. J Child Psychol Psychiatry 2018; 59:1143-1151. [PMID: 29672866 DOI: 10.1111/jcpp.12913] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/28/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Autism is a dimensional condition, representing the extreme end of a continuum of social competence that extends throughout the general population. Currently, little is known about how autistic social traits (ASTs), measured across the full spectrum of severity, develop during childhood and adolescence, including whether there are developmental differences between boys and girls. Therefore, we sought to chart the trajectories of ASTs in the general population across childhood and adolescence, with a focus on gender differences. METHODS Participants were 9,744 males (n = 4,784) and females (n = 4,960) from ALSPAC, a UK birth cohort study. ASTs were assessed when participants were aged 7, 10, 13 and 16 years, using the parent-report Social Communication Disorders Checklist. Data were modelled using latent growth curve analysis. RESULTS Developmental trajectories of males and females were nonlinear, showing a decline from 7 to 10 years, followed by an increase between 10 and 16 years. At 7 years, males had higher levels of ASTs than females (mean raw score difference = 0.88, 95% CI [.72, 1.04]), and were more likely (odds ratio [OR] = 1.99; 95% CI, 1.82, 2.16) to score in the clinical range on the SCDC. By 16 years this gender difference had disappeared: males and females had, on average, similar levels of ASTs (mean difference = 0.00, 95% CI [-0.19, 0.19]) and were equally likely to score in the SCDC's clinical range (OR = 0.91, 95% CI, 0.73, 1.10). This was the result of an increase in females' ASTs between 10 and 16 years. CONCLUSIONS There are gender-specific trajectories of autistic social impairment, with females more likely than males to experience an escalation of ASTs during early- and midadolescence. It remains to be discovered whether the observed female adolescent increase in ASTs represents the genuine late onset of social difficulties or earlier, subtle, pre-existing difficulties becoming more obvious.
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Affiliation(s)
- William Mandy
- Research Department of Clinical, Educational and Health Psychology, UCL, London, UK
| | - Liz Pellicano
- Department of Educational Studies, Macquarie University, Sydney, NSW, Australia
| | - Beate St Pourcain
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | | | - Jon Heron
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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12
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St Pourcain B, Eaves LJ, Ring SM, Fisher SE, Medland S, Evans DM, Davey Smith G. Developmental Changes Within the Genetic Architecture of Social Communication Behavior: A Multivariate Study of Genetic Variance in Unrelated Individuals. Biol Psychiatry 2018; 83:598-606. [PMID: 29100628 PMCID: PMC5855319 DOI: 10.1016/j.biopsych.2017.09.020] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 08/01/2017] [Accepted: 09/17/2017] [Indexed: 12/04/2022]
Abstract
BACKGROUND Recent analyses of trait-disorder overlap suggest that psychiatric dimensions may relate to distinct sets of genes that exert maximum influence during different periods of development. This includes analyses of social communication difficulties that share, depending on their developmental stage, stronger genetic links with either autism spectrum disorder or schizophrenia. We developed a multivariate analysis framework in unrelated individuals to model directly the developmental profile of genetic influences contributing to complex traits, such as social communication difficulties, during an approximately 10-year period spanning childhood and adolescence. METHODS Longitudinally assessed quantitative social communication problems (N ≤ 5551) were studied in participants from a United Kingdom birth cohort (Avon Longitudinal Study of Parents and Children; age range, 8-17 years). Using standardized measures, genetic architectures were investigated with novel multivariate genetic-relationship-matrix structural equation models incorporating whole-genome genotyping information. Analogous to twin research, genetic-relationship-matrix structural equation models included Cholesky decomposition, common pathway, and independent pathway models. RESULTS A two-factor Cholesky decomposition model described the data best. One genetic factor was common to Social Communication Disorder Checklist measures across development; the other accounted for independent variation at 11 years and later, consistent with distinct developmental profiles in trait-disorder overlap. Importantly, genetic factors operating at 8 years explained only approximately 50% of genetic variation at 17 years. CONCLUSIONS Using latent factor models, we identified developmental changes in the genetic architecture of social communication difficulties that enhance the understanding of autism spectrum disorder- and schizophrenia-related dimensions. More generally, genetic-relationship-matrix structural equation models present a framework for modeling shared genetic etiologies between phenotypes and can provide prior information with respect to patterns and continuity of trait-disorder overlap.
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Affiliation(s)
- Beate St Pourcain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
| | - Lindon J Eaves
- Department of Human and Molecular Genetics, Institute for Psychiatric and Behavioral Genetics, Commonwealth University School of Medicine, Richmond, Virginia
| | - Susan M Ring
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Sarah Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Queensland, Australia
| | - David M Evans
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
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13
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St Pourcain B, Robinson EB, Anttila V, Sullivan BB, Maller J, Golding J, Skuse D, Ring S, Evans DM, Zammit S, Fisher SE, Neale BM, Anney RJL, Ripke S, Hollegaard MV, Werge T, Ronald A, Grove J, Hougaard DM, Børglum AD, Mortensen PB, Daly MJ, Davey Smith G. ASD and schizophrenia show distinct developmental profiles in common genetic overlap with population-based social communication difficulties. Mol Psychiatry 2018; 23:263-270. [PMID: 28044064 PMCID: PMC5382976 DOI: 10.1038/mp.2016.198] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/10/2016] [Accepted: 08/01/2016] [Indexed: 01/21/2023]
Abstract
Difficulties in social communication are part of the phenotypic overlap between autism spectrum disorders (ASD) and schizophrenia. Both conditions follow, however, distinct developmental patterns. Symptoms of ASD typically occur during early childhood, whereas most symptoms characteristic of schizophrenia do not appear before early adulthood. We investigated whether overlap in common genetic influences between these clinical conditions and impairments in social communication depends on the developmental stage of the assessed trait. Social communication difficulties were measured in typically-developing youth (Avon Longitudinal Study of Parents and Children, N⩽5553, longitudinal assessments at 8, 11, 14 and 17 years) using the Social Communication Disorder Checklist. Data on clinical ASD (PGC-ASD: 5305 cases, 5305 pseudo-controls; iPSYCH-ASD: 7783 cases, 11 359 controls) and schizophrenia (PGC-SCZ2: 34 241 cases, 45 604 controls, 1235 trios) were either obtained through the Psychiatric Genomics Consortium (PGC) or the Danish iPSYCH project. Overlap in genetic influences between ASD and social communication difficulties during development decreased with age, both in the PGC-ASD and the iPSYCH-ASD sample. Genetic overlap between schizophrenia and social communication difficulties, by contrast, persisted across age, as observed within two independent PGC-SCZ2 subsamples, and showed an increase in magnitude for traits assessed during later adolescence. ASD- and schizophrenia-related polygenic effects were unrelated to each other and changes in trait-disorder links reflect the heterogeneity of genetic factors influencing social communication difficulties during childhood versus later adolescence. Thus, both clinical ASD and schizophrenia share some genetic influences with impairments in social communication, but reveal distinct developmental profiles in their genetic links, consistent with the onset of clinical symptoms.
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Affiliation(s)
- B St Pourcain
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - E B Robinson
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - V Anttila
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - B B Sullivan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - J Maller
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - J Golding
- Centre for Child and Adolescent Health, University of Bristol, Bristol, UK
| | - D Skuse
- Behavioural and Brain Sciences, Institute of Child Health, University College London, London, UK
| | - S Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - D M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
| | - S Zammit
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - S E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - B M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - R J L Anney
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - S Ripke
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - M V Hollegaard
- Statens Serum Institut, Department of Congenital Disorders, Copenhagen, Denmark
| | - T Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Copenhagen, Denmark
- Institute of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - iPSYCH-SSI-Broad Autism Group
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Child and Adolescent Health, University of Bristol, Bristol, UK
- Behavioural and Brain Sciences, Institute of Child Health, University College London, London, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Statens Serum Institut, Department of Congenital Disorders, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Copenhagen, Denmark
- Institute of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Psychological Sciences, Birkbeck, University of London, London, UK
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - A Ronald
- Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - J Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - D M Hougaard
- Statens Serum Institut, Department of Congenital Disorders, Copenhagen, Denmark
| | - A D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - P B Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - M J Daly
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research and Medical and the Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - G Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Social and Community Medicine, University of Bristol, Bristol, UK
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14
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Cheesman R, Selzam S, Ronald A, Dale PS, McAdams TA, Eley TC, Plomin R. Childhood behaviour problems show the greatest gap between DNA-based and twin heritability. Transl Psychiatry 2017; 7:1284. [PMID: 29234009 PMCID: PMC5802501 DOI: 10.1038/s41398-017-0046-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 09/07/2017] [Accepted: 09/13/2017] [Indexed: 12/22/2022] Open
Abstract
For most complex traits, DNA-based heritability ('SNP heritability') is roughly half that of twin-based heritability. A previous report from the Twins Early Development Study suggested that this heritability gap is much greater for childhood behaviour problems than for other domains. If true, this finding is important because SNP heritability, not twin heritability, is the ceiling for genome-wide association studies. With twice the sample size as the previous report, we estimated SNP heritabilities (N up to 4653 unrelated individuals) and compared them with twin heritabilities from the same sample (N up to 4724 twin pairs) for diverse domains of childhood behaviour problems as rated by parents, teachers, and children themselves at ages 12 and 16. For 37 behaviour problem measures, the average twin heritability was 0.52, whereas the average SNP heritability was just 0.06. In contrast, results for cognitive and anthropometric traits were more typical (average twin and SNP heritabilities were 0.58 and 0.28, respectively). Future research should continue to investigate the reasons why SNP heritabilities for childhood behaviour problems are so low compared with twin estimates, and find ways to maximise SNP heritability for genome-wide association studies.
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Affiliation(s)
- Rosa Cheesman
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
| | - Saskia Selzam
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Angelica Ronald
- Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Philip S Dale
- Department of Speech and Hearing Sciences, University of New Mexico, Albuquerque, NM, USA
| | - Tom A McAdams
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Thalia C Eley
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Robert Plomin
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
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15
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Liu J, Gong J, Nie G, He Y, Xiao B, Shen Y, Luo X. The mediating effects of childhood neglect on the association between schizotypal and autistic personality traits and depression in a non-clinical sample. BMC Psychiatry 2017; 17:352. [PMID: 29065890 PMCID: PMC5655952 DOI: 10.1186/s12888-017-1510-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 10/15/2017] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Autistic personality traits (APT) and schizotypal personality traits (SPT) are associated with depression. However, mediating factors within these relationships have not yet been explored. Thus, the focus of the current study was to examine the effects of childhood neglect on the relationship between APT/SPT and depression. METHODS This cross-sectional study was conducted on first-year students (N = 2469) at Hunan University of Chinese Medicine and Hengyang Normal College (Changsha, China). Participants completed surveys on APT, SPT, childhood neglect, abuse and depression. RESULTS Through correlational analyses, APT and SPT traits were positively correlated with childhood neglect and depression (p < 0.05). In a hierarchical regression analysis, among types of childhood maltreatment, emotional neglect (β = 0.112, p < 0.001) and physical neglect (β = 0.105, p < 0.001) were the strongest predictors of depression. Childhood neglect did not account for the relationships between APT/SPT and depression. Further analysis found that childhood neglect mediated the relationship between SPT and depression but not APT and depression. CONCLUSIONS Among types of childhood maltreatment, neglect was the strongest predicting factor for depression. Neglect did not account for the relationship between APT/SPT and depression but was a strong mediating factor between SPT and depression.
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Affiliation(s)
- Jianbo Liu
- 0000 0001 0379 7164grid.216417.7Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, Changsha, 410000 China
| | - Jingbo Gong
- grid.67293.39Department of Applied Psychology, Traditional Chinese Medicine University of Hunan, Changsha, 410208 China
| | - Guanghui Nie
- 0000 0004 1798 2653grid.256607.0School of Public Health, Guangxi Medical University, Nanning, 530000 China
| | - Yuqiong He
- 0000 0001 0379 7164grid.216417.7Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, Changsha, 410000 China
| | - Bo Xiao
- 0000 0001 0379 7164grid.216417.7Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, Changsha, 410000 China
| | - Yanmei Shen
- 0000 0001 0379 7164grid.216417.7Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, Changsha, 410000 China
| | - Xuerong Luo
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, Changsha, 410000, China.
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16
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Hosseinpour M, Mashayekhi F, Bidabadi E, Salehi Z. Neuropilin-2 rs849563 gene variations and susceptibility to autism in Iranian population: A case-control study. Metab Brain Dis 2017; 32:1471-1474. [PMID: 28484884 DOI: 10.1007/s11011-017-0024-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 04/28/2017] [Indexed: 10/19/2022]
Abstract
Autism spectrum disorders (ASD) are neurodevelopmental disruptions usually diagnosed in the first three years of child's life that characterized by some impairments in verbal and nonverbal communication, problems in social interactions and repetitive behaviors. The neuropilin-2 (NRP2) gene has been shown to both guide axons and control neuronal migration in the central nervous system (CNS). In this study the association between the NRP2 gene and autism using a cohort of 120 Iranian children (50 cases with autism and 70 control cases) was analyzed. Single nucleotide polymorphism (SNP) was genotyped by the polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) analyses. There was significant difference between the genotype and allele frequency between control and patient groups (P = 0.003 and P = 0.01, respectively). The prevalence of genotype frequencies of TT and TG in autistic children were 40% and 60%, respectively, while in controls were 68.5% and 31.5%, respectively. The heterozyote TG was associated with an increased risk of autism compared with TT genotype (OR = 3.72, 95%CI = 1.53-6.95, P = 0.02). The allele frequencies of T and G in autistic children were 78.5% and 21.4%, respectively and in controls were 84.2% and 15.7%, respectively. The NRP2 G allele conferred a 2.29-fold increased risk to autism relative to the T allele (OR = 2.29, 95%CI = 1.23-4.29, P = 0.009). The results of this study showed that there is a significant association between rs849563 polymorphism and autism in the studied population. However in order to obtain a definitive conclusion larger studies with more samples are required to confirm the results of this study.
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Affiliation(s)
| | - Farhad Mashayekhi
- Department of Biology, Faculty of Sciences, University of Guilan, Rasht, Iran.
| | - Elham Bidabadi
- Faculty of Medicine, Department of Child Neurology, Guilan University of Medical Sciences, Rasht, Iran
| | - Zivar Salehi
- Department of Biology, Faculty of Sciences, University of Guilan, Rasht, Iran
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17
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Shibutani M, Horii T, Shoji H, Morita S, Kimura M, Terawaki N, Miyakawa T, Hatada I. Arid1b Haploinsufficiency Causes Abnormal Brain Gene Expression and Autism-Related Behaviors in Mice. Int J Mol Sci 2017; 18:E1872. [PMID: 28867767 PMCID: PMC5618521 DOI: 10.3390/ijms18091872] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 08/18/2017] [Accepted: 08/25/2017] [Indexed: 11/22/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that include poor social communication, restricted interests, and repetitive behaviors. Several ASD mouse models exhibit impaired social interaction, anxiety-like behavior, and elevated perseveration. Large-scale whole exome sequencing studies identified many genes putatively associated with ASD. Like chromodomain helicase DNA binding protein 8 (CHD8), the most frequently mutated gene in individuals with ASD, the candidate gene AT-rich interaction domain 1B (ARID1B) encodes a chromatin remodeling factor. Arid1b heterozygous knockout (hKO) mice exhibited ASD-like traits related to social behavior, anxiety, and perseveration, in addition to associated features reported in some cases of ASD, such as reduced weight, impaired motor coordination, and hydrocephalus. Hydrocephalus was present in 5 of 91 hKO mice, while it was not observed in wild-type littermates (0 of 188). Genome-wide gene expression patterns in Arid1b hKO mice were similar to those in ASD patients and Chd8-haploinsufficient mice, an ASD model, and to developmental changes in gene expression in fast-spiking cells in the mouse brain. Our results suggest that Arid1b haploinsufficiency causes ASD-like phenotypes in mice.
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Affiliation(s)
- Mihiro Shibutani
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
| | - Takuro Horii
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
| | - Hirotaka Shoji
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan.
| | - Sumiyo Morita
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
| | - Mika Kimura
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
| | - Naomi Terawaki
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
| | - Tsuyoshi Miyakawa
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan.
| | - Izuho Hatada
- Laboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, 3-39-15 Showa-machi, Maebashi, Gunma 371-8512, Japan.
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18
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de Zeeuw EL, van Beijsterveldt CEM, Hoekstra RA, Bartels M, Boomsma DI. The etiology of autistic traits in preschoolers: a population-based twin study. J Child Psychol Psychiatry 2017; 58:893-901. [PMID: 28524230 DOI: 10.1111/jcpp.12741] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/23/2017] [Indexed: 01/14/2023]
Abstract
BACKGROUND Autism Spectrum Disorders (ASD) are highly heritable, but the exact etiological mechanisms underlying the condition are still unclear. METHODS Using a multiple rater twin design in a large sample of general population preschool twins, this study aimed to (a) estimate the contribution of genetic and environmental factors to autistic traits, controlling for the possible effects of rater bias, (b) to explore possible sex differences in etiology and (c) to investigate the discordance in autistic traits in monozygotic and same-sex dizygotic twin pairs. The Netherlands Twin Register collected maternal and paternal ratings on autistic traits from a general population of 38,798 three-year-old twins. Autistic traits were assessed with the DSM-oriented Pervasive Developmental Problems scale of the Child Behavior Check List for preschoolers (1½-5 years). RESULTS Mother and fathers showed high agreement in their assessment of autistic traits (r = .60-.66). Differences between children in autistic traits were largely accounted for by genetic effects (boys: 78% and girls: 83%). Environmental effects that are unique to a child also played a modest role. Environmental effects shared by children growing up in the same family were negligible, once rater bias was controlled for. While the prevalence for clinical ASD is higher in boys than in girls, this study did not find evidence for striking differences in the etiology of autistic traits across the sexes. Even though the heritability was high, 29% of MZ twin pairs were discordant for high autistic traits (clinical range vs. normal development), suggesting that despite high genetic risk, environmental factors might lead to resilience, unaffected status in the context of genetic risk, in some children. CONCLUSIONS It is important to focus future research on risk factors that might interplay with a genetic disposition for ASD, but also on protective factors that make a difference in the lives of children at genetic risk.
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Affiliation(s)
- Eveline L de Zeeuw
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, VUmc, Amsterdam, the Netherlands
| | - Catharina E M van Beijsterveldt
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, VUmc, Amsterdam, the Netherlands
| | - Rosa A Hoekstra
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, VUmc, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, VUmc, Amsterdam, the Netherlands
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19
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Taylor MJ, Gillberg C, Lichtenstein P, Lundström S. Etiological influences on the stability of autistic traits from childhood to early adulthood: evidence from a twin study. Mol Autism 2017; 8:5. [PMID: 28316769 PMCID: PMC5351180 DOI: 10.1186/s13229-017-0120-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 02/10/2017] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Autism spectrum disorders (ASD) are persistent and lifelong conditions. Despite this, almost all twin studies focus on childhood. This twin study investigated the stability of autistic traits from childhood to early adulthood and explored the degree to which any stability could be explained by genetic or environmental factors. METHODS Parents of over 2500 twin pairs completed questionnaires assessing autistic traits when twins were aged either 9 or 12 years and again when twins were aged 18. Bivariate twin analysis assessed the degree of phenotypic and etiological stability in autistic traits across this period. Genetic overlap in autistic traits across development was also tested in individuals displaying a broad ASD phenotype, defined as scoring within the highest 5% of the sample. RESULTS Autistic traits displayed moderate phenotypic stability (r = .39). The heritability of autistic traits was 76-77% in childhood and 60-62% in adulthood. A moderate degree of genetic influences on childhood autistic traits were carried across into adulthood (genetic correlation = .49). The majority (85%) of the stability in autistic traits was attributable to genetic factors. Genetic influences on autistic traits were moderately stable from childhood to early adulthood at the extremes (genetic correlation = .64). CONCLUSIONS Broad autistic traits display moderate phenotypic and etiological stability from childhood to early adulthood. Genetic factors accounted for almost all phenotypic stability, although there was some phenotypic and etiological instability in autistic traits. Thus, autistic traits in adulthood are influenced by a combination of enduring and unique genetic factors.
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Affiliation(s)
- Mark J. Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17177 Stockholm, Sweden
| | - Christopher Gillberg
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Kungsgatan 12, 41119 Gothenburg, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17177 Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Kungsgatan 12, 41119 Gothenburg, Sweden
- Centre for Ethics, Law, and Mental Health, Institute of Neuroscience and Physiology, University of Gothenburg, Rågården, Hus 1, SU-Östra sjukhuset, 41685 Gothenburg, Sweden
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20
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Abstract
Most neurodevelopmental disorders are defined by their clinical symptoms and many disorders share common features. Recently there has been an increase in the number of children diagnosed with autism spectrum disorder, although concerns have been raised about the accuracy of the reported prevalence rates. This article reviews the essential features of autism spectrum disorder and describes other conditions that may include similar symptoms that may be misdiagnosed as autism spectrum disorder (primary communication disorders, anxiety disorders, attachment disorders, intellectual disability, vision and hearing impairment, and normal variations). An approach to differential diagnosis is discussed with particular attention to evaluation of young children.
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Affiliation(s)
- Mark D Simms
- Section of Developmental Pediatrics, Department of Pediatrics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA; Child Development Center, Children's Hospital of Wisconsin, PO Box 1997, Mail Station 744, Milwaukee, WI 53226, USA.
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21
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Wallace GL, Dudley K, Anthony L, Pugliese CE, Orionzi B, Clasen L, Lee NR, Giedd JN, Martin A, Raznahan A, Kenworthy L. Divergence of Age-Related Differences in Social-Communication: Improvements for Typically Developing Youth but Declines for Youth with Autism Spectrum Disorder. J Autism Dev Disord 2017; 47:472-479. [PMID: 27878739 PMCID: PMC10857806 DOI: 10.1007/s10803-016-2972-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Although social-communication difficulties and repetitive behaviors are hallmark features of autism spectrum disorder (ASD) and persist across the lifespan, very few studies have compared age-related differences in these behaviors between youth with ASD and same-age typically developing (TD) peers. We examined this issue using SRS-2 (Social Responsiveness Scale-Second Edition) measures of social-communicative functioning and repetitive behaviors in a stratified cross-sectional sample of 324 youth with ASD in the absence of intellectual disability, and 438 TD youth (aged 4-29 years). An age-by-group interaction emerged indicating that TD youth exhibited age-related improvements in social-communication scores while the ASD group demonstrated age-related declines in these scores. This suggests that adolescents/adults with ASD may fall increasingly behind their same-age peers in social-communicative skills.
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Affiliation(s)
- Gregory L Wallace
- Department of Speech and Hearing Sciences, The George Washington University, 2115 G Street NW, Room 201, Washington, DC, 20052, USA.
- Laboratory of Brain and Cognition, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA.
| | - Katerina Dudley
- Center for Autism Spectrum Disorders, Children's Research Institute, Children's National Medical Center, Washington, DC, USA
| | - Laura Anthony
- Center for Autism Spectrum Disorders, Children's Research Institute, Children's National Medical Center, Washington, DC, USA
| | - Cara E Pugliese
- Center for Autism Spectrum Disorders, Children's Research Institute, Children's National Medical Center, Washington, DC, USA
| | - Bako Orionzi
- Laboratory of Brain and Cognition, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Liv Clasen
- Child Psychiatry Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Nancy Raitano Lee
- Child Psychiatry Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Jay N Giedd
- Child Psychiatry Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Alex Martin
- Laboratory of Brain and Cognition, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Armin Raznahan
- Child Psychiatry Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Lauren Kenworthy
- Center for Autism Spectrum Disorders, Children's Research Institute, Children's National Medical Center, Washington, DC, USA
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22
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Ruzich E, Allison C, Smith P, Ring H, Auyeung B, Baron-Cohen S. The Autism-Spectrum Quotient in Siblings of People With Autism. Autism Res 2016; 10:289-297. [PMID: 27333365 PMCID: PMC5324635 DOI: 10.1002/aur.1651] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Accepted: 05/14/2016] [Indexed: 11/07/2022]
Abstract
This study measures the distribution of autistic traits, using the autism-spectrum quotient (AQ), in siblings of individuals with autism spectrum conditions (ASC). Total AQ scores, along with AQ subscales, were collected from child, adolescent and adult controls, siblings, and volunteers with ASC using one of the three age-appropriate versions of the instrument: the AQ (adult self-report), the AQ-adolescent and AQ-child (both parent-reports). We examined the effect of Group (case, sibling and control) and AQ version (adult, adolescent and adult) on total and subscale scores. In addition, we tested for sex differences in all groups and on all versions. We found that in male and female adults, AQ scores in siblings fell between cases and controls (cases > siblings > controls). In children and adolescents, female siblings also scored higher than control females (female cases > female siblings > female controls), but there was no difference between male siblings and controls (male cases > male siblings = male controls). An investigation of subscale scores revealed that male siblings only differed from controls on the "Communication" subscale (male cases > male siblings > male controls), while female siblings differed from controls on all subscales except "Imagination" (female cases > female siblings > female controls). This study confirms the broader autism phenotype in siblings, and reveals this is modulated by sex and AQ version. Autism Res 2017, 10: 289-297. © 2016 The Authors Autism Research published by Wiley Periodicals, Inc. on behalf of International Society for Autism Research.
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Affiliation(s)
- Emily Ruzich
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Carrie Allison
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Paula Smith
- NIHR CLAHRC for the East of England, Cambridge, UK
| | - Howard Ring
- Cambridgeshire and Peterborough NHS Foundation Trust, Peterborough, UK
| | - Bonnie Auyeung
- CLASS Clinic, Cambridgeshire and Peterborough NHS Foundation Trust, Peterborough, UK
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23
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Rommelse NNJ, Hartman CA. Review: changing (shared) heritability of ASD and ADHD across the lifespan. Eur Child Adolesc Psychiatry 2016; 25:213-5. [PMID: 26883794 DOI: 10.1007/s00787-016-0830-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Nanda N J Rommelse
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands. .,Karakter, Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands.
| | - Catharina A Hartman
- Department of Psychiatry, Interdisciplinary Center of Psychopathology and Emotion Regulation (ICPE) and Research School of Behavioral and Cognitive Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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24
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A Genetically Informed Cross-Lagged Analysis of Autistic-Like Traits and Affective Problems in Early Childhood. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2015; 44:937-47. [PMID: 26456961 DOI: 10.1007/s10802-015-0088-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
A genetically informed cross-lagged model was applied to twin data to explore etiological links between autistic-like traits and affective problems in early childhood. The sample comprised 310 same-sex twin pairs (143 monozygotic and 167 dizygotic; 53 % male). Autistic-like traits and affective problems were assessed at ages 2 and 3 using parent ratings. Both constructs were related within and across age (r = 0.30-0.53) and showed moderate stability (r = 0.45-0.54). Autistic-like traits and affective problems showed genetic and environmental influences at both ages. Whereas at age 2, the covariance between autistic-like traits and affective problems was entirely due to environmental influences (shared and nonshared), at age 3, genetic factors also contributed to the covariance between constructs. The stability paths, but not the cross-lagged paths, were significant, indicating that there is stability in both autistic-like traits and affective problems but they do not mutually influence each other across age. Stability effects were due to genetic, shared, and nonshared environmental influences. Substantial novel genetic and nonshared environmental influences emerge at age 3 and suggest change in the etiology of these constructs over time. During early childhood, autistic-like traits tend to occur alongside affective problems and partly overlapping genetic and environmental influences explain this association.
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25
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Roberts AL, Koenen KC, Lyall K, Robinson E, Weisskopf MG. Association of autistic traits in adulthood with childhood abuse, interpersonal victimization, and posttraumatic stress. CHILD ABUSE & NEGLECT 2015; 45:135-42. [PMID: 25957197 PMCID: PMC4784091 DOI: 10.1016/j.chiabu.2015.04.010] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Revised: 04/08/2015] [Accepted: 04/10/2015] [Indexed: 05/21/2023]
Abstract
Persons with autistic traits may be at elevated risk for interpersonal victimization across the life course. Children with high levels of autistic traits may be targeted for abuse, and deficits in social awareness may increase risk of interpersonal victimization. Additionally, persons with autistic traits may be at elevated risk of posttraumatic stress disorder (PTSD) symptoms subsequent to trauma. We examined retrospectively reported prevalence of childhood abuse, trauma victimization and PTSD symptoms by autistic traits among adult women in a population-based longitudinal cohort, the Nurses' Health Study II (N=1,077). Autistic traits were measured by the 65-item Social Responsiveness Scale. We estimated odds ratios (OR) for childhood sexual and physical/emotional abuse and PTSD symptoms by quintiles of autistic traits. We examined possible mediation of PTSD risk by abuse and trauma type. Women in the highest versus lowest quintile of autistic traits were more likely to have been sexually abused (40.1% versus 26.7%), physically/emotionally abused (23.9% versus 14.3%), mugged (17.1% versus 10.1%), pressured into sexual contact (25.4% versus 15.6%) and have high PTSD symptoms (10.7% versus 4.5%). Odds of PTSD were elevated in women in the top three quintiles of autistic traits compared with the reference group (OR range=1.4 to 1.9). Childhood abuse exposure partly accounted for elevated risk of PTSD in women with autistic traits. We identify for the first time an association between autistic traits, childhood abuse, trauma victimization, and PTSD. Levels of autistic traits that are highly prevalent in the general population are associated with abuse, trauma and PTSD.
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Affiliation(s)
- Andrea L. Roberts
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health
| | | | | | | | - Marc G. Weisskopf
- Department of Environmental Health, Harvard T. H. Chan School of Public Health
- Department of Epidemiology, Harvard T. H. Chan School of Public Health
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26
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Colvert E, Tick B, McEwen F, Stewart C, Curran SR, Woodhouse E, Gillan N, Hallett V, Lietz S, Garnett T, Ronald A, Plomin R, Rijsdijk F, Happé F, Bolton P. Heritability of Autism Spectrum Disorder in a UK Population-Based Twin Sample. JAMA Psychiatry 2015; 72:415-23. [PMID: 25738232 PMCID: PMC4724890 DOI: 10.1001/jamapsychiatry.2014.3028] [Citation(s) in RCA: 269] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Most evidence to date highlights the importance of genetic influences on the liability to autism and related traits. However, most of these findings are derived from clinically ascertained samples, possibly missing individuals with subtler manifestations, and obtained estimates may not be representative of the population. OBJECTIVES To establish the relative contributions of genetic and environmental factors in liability to autism spectrum disorder (ASD) and a broader autism phenotype in a large population-based twin sample and to ascertain the genetic/environmental relationship between dimensional trait measures and categorical diagnostic constructs of ASD. DESIGN, SETTING, AND PARTICIPANTS We used data from the population-based cohort Twins Early Development Study, which included all twin pairs born in England and Wales from January 1, 1994, through December 31, 1996. We performed joint continuous-ordinal liability threshold model fitting using the full information maximum likelihood method to estimate genetic and environmental parameters of covariance. Twin pairs underwent the following assessments: the Childhood Autism Spectrum Test (CAST) (6423 pairs; mean age, 7.9 years), the Development and Well-being Assessment (DAWBA) (359 pairs; mean age, 10.3 years), the Autism Diagnostic Observation Schedule (ADOS) (203 pairs; mean age, 13.2 years), the Autism Diagnostic Interview-Revised (ADI-R) (205 pairs; mean age, 13.2 years), and a best-estimate diagnosis (207 pairs). MAIN OUTCOMES AND MEASURES Participants underwent screening using a population-based measure of autistic traits (CAST assessment), structured diagnostic assessments (DAWBA, ADI-R, and ADOS), and a best-estimate diagnosis. RESULTS On all ASD measures, correlations among monozygotic twins (range, 0.77-0.99) were significantly higher than those for dizygotic twins (range, 0.22-0.65), giving heritability estimates of 56% to 95%. The covariance of CAST and ASD diagnostic status (DAWBA, ADOS and best-estimate diagnosis) was largely explained by additive genetic factors (76%-95%). For the ADI-R only, shared environmental influences were significant (30% [95% CI, 8%-47%]) but smaller than genetic influences (56% [95% CI, 37%-82%]). CONCLUSIONS AND RELEVANCE The liability to ASD and a more broadly defined high-level autism trait phenotype in this large population-based twin sample derives primarily from additive genetic and, to a lesser extent, nonshared environmental effects. The largely consistent results across different diagnostic tools suggest that the results are generalizable across multiple measures and assessment methods. Genetic factors underpinning individual differences in autismlike traits show considerable overlap with genetic influences on diagnosed ASD.
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Affiliation(s)
- Emma Colvert
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Beata Tick
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Fiona McEwen
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England2Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, K
| | - Catherine Stewart
- South London and Maudsley NHS (National Health Service) Foundation Trust, Maudsley Hospital, London, England4Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Sarah R. Curran
- Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England5Brighton and Sussex Medical School, University of Sussex, East Sussex, England6Sussex Partnership NHS Foundation Trust, Trust Headquart
| | - Emma Woodhouse
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Nicola Gillan
- South London and Maudsley NHS (National Health Service) Foundation Trust, Maudsley Hospital, London, England
| | - Victoria Hallett
- Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Stephanie Lietz
- Research Department of Clinical, Educational and Health Psychology, University College London, London, England
| | - Tracy Garnett
- South London and Maudsley NHS (National Health Service) Foundation Trust, Maudsley Hospital, London, England
| | - Angelica Ronald
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England9Department of Psychological Sciences, University of London, London, England
| | - Robert Plomin
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Frühling Rijsdijk
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Francesca Happé
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
| | - Patrick Bolton
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England2Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, K
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27
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St Pourcain B, Haworth CMA, Davis OSP, Wang K, Timpson NJ, Evans DM, Kemp JP, Ronald A, Price T, Meaburn E, Ring SM, Golding J, Hakonarson H, Plomin R, Davey Smith G. Heritability and genome-wide analyses of problematic peer relationships during childhood and adolescence. Hum Genet 2014; 134:539-51. [PMID: 25515860 PMCID: PMC4424375 DOI: 10.1007/s00439-014-1514-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Accepted: 11/09/2014] [Indexed: 01/09/2023]
Abstract
Peer behaviour plays an important role in the development of social adjustment, though little is known about its genetic architecture. We conducted a twin study combined with a genome-wide complex trait analysis (GCTA) and a genome-wide screen to characterise genetic influences on problematic peer behaviour during childhood and adolescence. This included a series of longitudinal measures (parent-reported Strengths-and-Difficulties Questionnaire) from a UK population-based birth-cohort (ALSPAC, 4-17 years), and a UK twin sample (TEDS, 4-11 years). Longitudinal twin analysis (TEDS; N ≤ 7,366 twin pairs) showed that peer problems in childhood are heritable (4-11 years, 0.60 < twin-h(2) ≤ 0.71) but genetically heterogeneous from age to age (4-11 years, twin-r(g) = 0.30). GCTA (ALSPAC: N ≤ 5,608, TEDS: N ≤ 2,691) provided furthermore little support for the contribution of measured common genetic variants during childhood (4-12 years, 0.02 < GCTA-h(2)(Meta) ≤ 0.11) though these influences become stronger in adolescence (13-17 years, 0.14 < GCTA-h (2)(ALSPAC) ≤ 0.27). A subsequent cross-sectional genome-wide screen in ALSPAC (N ≤ 6,000) focussed on peer problems with the highest GCTA-heritability (10, 13 and 17 years, 0.0002 < GCTA-P ≤ 0.03). Single variant signals (P ≤ 10(-5)) were followed up in TEDS (N ≤ 2835, 9 and 11 years) and, in search for autism quantitative trait loci, explored within two autism samples (AGRE: N Pedigrees = 793; ACC: N Cases = 1,453/N Controls = 7,070). There was, however, no evidence for association in TEDS and little evidence for an overlap with the autistic continuum. In summary, our findings suggest that problematic peer relationships are heritable but genetically complex and heterogeneous from age to age, with an increase in common measurable genetic variation during adolescence.
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Affiliation(s)
- Beate St Pourcain
- MRC Integrative Epidemiology Unit (MRC IEU), University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK,
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28
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Dekker LP, Hartman CA, van der Vegt EJ, Verhulst FC, van Oort FV, Greaves-Lord K. The longitudinal relation between childhood autistic traits and psychosexual problems in early adolescence: The Tracking Adolescents' Individual Lives Survey study. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2014; 19:684-93. [PMID: 25192861 DOI: 10.1177/1362361314547114] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Individuals with autistic traits are considered to be prone to develop psychosexual problems due to their limited social skills and insight. This study investigated the longitudinal relation between autistic traits in childhood (T1; age 10-12 years) and parent-reported psychosexual problems in early adolescence (T2; age 12-15 years). In a general population cohort study (n = 1873; the Tracking Adolescents' Individual Lives Survey (TRAILS)), autistic traits and psychosexual problems were determined. Logistic regression analyses were used to investigate whether childhood autistic traits, in individuals displaying no psychosexual problems in childhood, predicted the presence of psychosexual problems in adolescence, while controlling for pubertal development and conduct problems. Higher levels of autistic traits at T1 significantly predicted mild psychosexual problems at T2, above and beyond pubertal development and conduct problems. Particularly two dimensions of autistic traits at T1 were significant predictors; i.e. 'reduced contact/social interest' and 'not optimally tuned to the social situation'. Children with autistic traits - especially those with limited social interest and social regulation problems - showed to have a higher risk to develop psychosexual problems, albeit mild, in early adolescence as reported by parents. Although we showed that autistic traits predict psychosexual problems, it is only one of multiple predictors.
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Affiliation(s)
- Linda P Dekker
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University MC - Sophia, The Netherlands Yulius, Organization for Mental Health, The Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Esther Jm van der Vegt
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University MC - Sophia, The Netherlands Yulius, Organization for Mental Health, The Netherlands
| | - Frank C Verhulst
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University MC - Sophia, The Netherlands
| | - Floor Va van Oort
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University MC - Sophia, The Netherlands
| | - Kirstin Greaves-Lord
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University MC - Sophia, The Netherlands Yulius, Organization for Mental Health, The Netherlands
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29
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Napoli E, Dueñas N, Giulivi C. Potential therapeutic use of the ketogenic diet in autism spectrum disorders. Front Pediatr 2014; 2:69. [PMID: 25072037 PMCID: PMC4074854 DOI: 10.3389/fped.2014.00069] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Accepted: 06/17/2014] [Indexed: 11/13/2022] Open
Abstract
The ketogenic diet (KGD) has been recognized as an effective treatment for individuals with glucose transporter 1 (GLUT1) and pyruvate dehydrogenase (PDH) deficiencies as well as with epilepsy. More recently, its use has been advocated in a number of neurological disorders prompting a newfound interest in its possible therapeutic use in autism spectrum disorders (ASD). One study and one case report indicated that children with ASD treated with a KGD showed decreased seizure frequencies and exhibited behavioral improvements (i.e., improved learning abilities and social skills). The KGD could benefit individuals with ASD affected with epileptic episodes as well as those with either PDH or mild respiratory chain (RC) complex deficiencies. Given that the mechanism of action of the KGD is not fully understood, caution should be exercised in ASD cases lacking a careful biochemical and metabolic characterization to avoid deleterious side effects or refractory outcomes.
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Affiliation(s)
- Eleonora Napoli
- Department of Molecular Biosciences, University of California Davis , Davis, CA , USA
| | - Nadia Dueñas
- Department of Molecular Biosciences, University of California Davis , Davis, CA , USA
| | - Cecilia Giulivi
- Department of Molecular Biosciences, University of California Davis , Davis, CA , USA ; Medical Investigations of Neurodevelopmental Disorders (M. I. N. D.) Institute , Sacramento, CA , USA
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