Cited by 137Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental DisordersSchizophrenia research and treatment

Neuroanatomic Variation in Monozygotic Twin Pairs Discordant for the Narrow Phenotype for Autism

Kates, Wendy R., Burnette, Courtney P., Eliez, Stephan, Strunge, Leslie Abbott, Kaplan, Desmond, Landa, Rebecca, Reiss, Allan L., Pearlson, Godfrey D.·2004·American Journal of Psychiatry

Abstract

OBJECTIVE: The broader autism phenotype includes relatives of individuals with autism who display social and language deficits that are qualitatively similar to those of autism but less severe. In previous studies of monozygotic twins discordant for autism, more than 75% of the twins without autism displayed the broader phenotype. Differences in neuroanatomy between discordant monozygotic twins might be associated with the narrow and broader behavioral phenotypes. The authors examined the relationship of twin pair differences in clinical phenotype to differences in neuroanatomic phenotype. METHOD: The subjects were 16 monozygotic twin pairs between the ages of 5 and 14 years and 16 matched singleton comparison subjects. Seven twin pairs were clinically concordant and nine twin pairs were clinically discordant for strictly defined autism. After magnetic resonance imaging, a semiautomated procedure was applied to images in which the brain tissue was subdivided into neurofunctional regions and segmented into gray, white, and ventricular compartments. RESULTS: Both the concordant and discordant twin pairs exhibited concordance in cerebral gray and white matter volumes. However, only the clinically concordant pairs exhibited concordance in cerebellar gray and white matter volumes. Within the discordant twin pairs, both the twins with autism and their co-twins exhibited frontal, temporal, and occipital white matter volumes that were lower than those of the comparison subjects. CONCLUSIONS: These findings support the role and the limits of genetic liability in autism. Continuing to clarify the neuroanatomic pathways in autistic spectrum disorders could illuminate the etiology of autism and, ultimately, contribute to treatments.

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Crossref · 10.1176/appi.ajp.161.3.539

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  • In twins, a discrepancy in cerebellar white matter volume is associated with a discrepancy in autism symptom scores.

    “Kates et al. [272] also found that cerebellar white matter, specifically the discrepancy in volume between twins, was associated with discrepancies in the twins’ autism symptom scores.”

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References 50 · Cited by 137

Authors
Kates, W. R., Burnette, C. P., Eliez, S., Strunge, L. A., Kaplan, D., Landa, R., Reiss, A. L., & Pearlson, G. D.
Affiliations
Johns Hopkins University (US)
Venue
American Journal of Psychiatry
Published
2004-03-01
Volume
161
Issue
3
Pages
539-546
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2156718278
Cited by
137
References
50
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 4 · 2017: 10 · 2016: 6 · 2015: 10 · 2014: 8 · 2013: 4 · 2012: 8
FWCI
3.69
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute of Mental Health (MH-50047, MH01142, K02MH001142, R01MH050047)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD031715, HD31715)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Keywords
autism spectrum disorder, monozygotic twins, twin discordance, broader autism phenotype, neuroanatomy, gray matter volume, cerebellum, genetic susceptibility, brain segmentation
MeSH terms
Adolescent, Autistic Disorder, Brain, Cerebellum, Cerebral Cortex, Cerebral Ventricles, Child, Child, Preschool, Diseases in Twins, Dominance, Cerebral, Female, Humans, Image Processing, Computer-Assisted, Infant, Newborn, Magnetic Resonance Imaging, Male, Phenotype, Reference Values, Twins, Monozygotic

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