Cited by 560Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental DisordersGenetic Associations and Epidemiology

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index; none of the 44 sources its claims cite is checked for support yet.

Heritability of Autism Spectrum Disorder in a UK Population-Based Twin Sample

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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.

Overview

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Crossref · 10.1001/jamapsychiatry.2014.3028

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  • It may state two separate claims as one. 27
  • Probably not a substantial claim. 14
  • The quote only partly states this claim. 1
36 of 36
  • The authors state this as an assumption.

    The liability to ASD and a broader autism phenotype follows a continuous distribution.

    “we assumed a continuous liability distribution underlying ASD and a more broadly defined phenotype with high-level autism traits that fell short of thresholds for an ASD diagnosis.”
  • The authors state this as an assumption.

    CAST scores and the three ASD diagnostic categories follow a joint multivariate normal distribution.

    “The assumption of a joint multivariate normal distribution for CAST scores and the 3 ASD diagnostic categories (unaffected, broad-spectrum disorder, and ASD) allowed the estimation of correlations within and across MZ/DZ twin pairs.”
  • The authors state this as an assumption.

    MZ and DZ twins experience equivalent environments.

    “twin study methods assume that the environments of MZ and DZ53 twins are equal”
  • The authors state this as an assumption.

    Twins do not have an unusually elevated risk for the condition being studied.

    “and that twins are not at especially high risk for the disorder under investigation.”
  • The authors state this as an assumption.

    No gene-environment interactions or correlations exist.

    “genetic modeling assumes that no gene-environment interactions or correlations exist”
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Metadata

Authors
Colvert, E., Tick, B., McEwen, F., Stewart, C., Curran, S. R., Woodhouse, E., Gillan, N., Hallett, V., Lietz, S., Garnett, T., Ronald, A., Plomin, R., Rijsdijk, F., Happé, F., & Bolton, P.
Affiliations
  • King's College London (GB)
  • National Health Service (GB)
  • Brighton and Sussex Medical School (GB)
  • University College London (GB)
  • University of London (GB)
  • MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, England
Corresponding author
Tick, Beata
Venue
JAMA Psychiatry
Published
2015-05-01
Volume
72
Issue
5
Pages
415
ISSN
2168-622X (ISSN-L)
OpenAlex
W2153438724
Cited by
560
References
59
Citations by year
2026: 90 · 2025: 28 · 2024: 25 · 2023: 37 · 2022: 42 · 2021: 53 · 2020: 62 · 2019: 82 · 2018: 42 · 2017: 33 · 2016: 42 · 2015: 21
FWCI
27.62
Type
journal article
Language
en
Open access
Locations
  • JAMA Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • BIROn (Birkbeck, University of London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion, other-oa)
Funders
  • Autism Speaks
  • National Institute for Health and Care Research (NF-SI-0510-10268)
  • Medical Research Council (G0500870, G0901245, G0500079, MR/J500380/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
autism spectrum disorder, heritability, genetic susceptibility, monozygotic twins, dizygotic twins, additive genetic effects, shared environmental effects, autistic traits, Twins Early Development Study
MeSH terms
Adolescent, Child, Child Development Disorders, Pervasive, Diseases in Twins, England, Environment, Female, Humans, Male, Models, Genetic, Phenotype, Twins, Dizygotic, Twins, Monozygotic, Wales, Genetic Predisposition to Disease

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