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<p>Unraveling the phenotypic complexity of autism is essential for advancing our understanding of its underlying biology, developmental trajectories, and diverse clinical presentations. Traditional classifications of language profiles in autism distinguish three groups: (1) speaking individuals without structural language impairment, (2) speaking individuals with structural language impairment, and (3) minimally speaking individuals. However, this tripartite framework hides substantial linguistic heterogeneity. Leveraging data-driven clustering on comprehensive parent-reported syntactic language assessment from a large cohort of over 62,414 autistic individuals aged 4–22 years, we have identified more nuanced, clinically meaningful subtypes. For receptive language, three distinct phenotypes emerged: 1) Command, limited to understanding single words; 2) Modifier, which extends to integrating nouns with adjectives but lacks full syntactic processing; and 3) Syntactic, supporting integration of nouns with spatial prepositions and complex syntactic structures. For expressive language, four phenotypes were delineated: (1) Nonspeaking, (2) Single-word, (3) Single-sentence, and (4) Multi-sentence. Adopting a two-dimensional framework that separately evaluates receptive and expressive abilities offers greater precision than the conventional tripartite system. This approach better captures individual variability and can guide more targeted language interventions addressing specific strengths and deficits in each domain. Such refinement holds promise for more personalized therapies and improved outcomes.</p>

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Receptive and expressive language phenotyping in over 62,000 autistic individuals

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月27日

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  • Katrine Gankin,
  • Rohan Venkatesh,
  • Edward Khokhlovich,
  • Andrey Vyshedskiy

摘要

Unraveling the phenotypic complexity of autism is essential for advancing our understanding of its underlying biology, developmental trajectories, and diverse clinical presentations. Traditional classifications of language profiles in autism distinguish three groups: (1) speaking individuals without structural language impairment, (2) speaking individuals with structural language impairment, and (3) minimally speaking individuals. However, this tripartite framework hides substantial linguistic heterogeneity. Leveraging data-driven clustering on comprehensive parent-reported syntactic language assessment from a large cohort of over 62,414 autistic individuals aged 4–22 years, we have identified more nuanced, clinically meaningful subtypes. For receptive language, three distinct phenotypes emerged: 1) Command, limited to understanding single words; 2) Modifier, which extends to integrating nouns with adjectives but lacks full syntactic processing; and 3) Syntactic, supporting integration of nouns with spatial prepositions and complex syntactic structures. For expressive language, four phenotypes were delineated: (1) Nonspeaking, (2) Single-word, (3) Single-sentence, and (4) Multi-sentence. Adopting a two-dimensional framework that separately evaluates receptive and expressive abilities offers greater precision than the conventional tripartite system. This approach better captures individual variability and can guide more targeted language interventions addressing specific strengths and deficits in each domain. Such refinement holds promise for more personalized therapies and improved outcomes.