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De Hoyos, L., Barendse, M. T., Schlag, F., Van Donkelaar, M. M. J., Verhoef, E., Shapland, C. Y., Klassmann, A., Buitelaar, J., Verhulst, B., Fisher, S. E., Rai, D., & St Pourcain, B. (2024). Structural models of genome-wide covariance identify multiple common dimensions in autism. Nature Communications, 15: 1770. doi:10.1038/s41467-024-46128-8.
Abstract
Common genetic variation has been associated with multiple symptoms in Autism Spectrum Disorder (ASD). However, our knowledge of shared genetic factor structures contributing to this highly heterogeneous neurodevelopmental condition is limited. Here, we developed a structural equation modelling framework to directly model genome-wide covariance across core and non-core ASD phenotypes, studying autistic individuals of European descent using a case-only design. We identified three independent genetic factors most strongly linked to language/cognition, behaviour and motor development, respectively, when studying a population-representative sample (N=5,331). These analyses revealed novel associations. For example, developmental delay in acquiring personal-social skills was inversely related to language, while developmental motor delay was linked to self-injurious behaviour. We largely confirmed the three-factorial structure in independent ASD-simplex families (N=1,946), but uncovered simplex-specific genetic overlap between behaviour and language phenotypes. Thus, the common genetic architecture in ASD is multi-dimensional and contributes, in combination with ascertainment-specific patterns, to phenotypic heterogeneity. -
Verhoef, E., Allegrini, A. G., Jansen, P. R., Lange, K., Wang, C. A., Morgan, A. T., Ahluwalia, T. S., Symeonides, C., EAGLE-Working Group, Eising, E., Franken, M.-C., Hypponen, E., Mansell, T., Olislagers, M., Omerovic, E., Rimfeld, K., Schlag, F., Selzam, S., Shapland, C. Y., Tiemeier, H., Whitehouse, A. J. O. Verhoef, E., Allegrini, A. G., Jansen, P. R., Lange, K., Wang, C. A., Morgan, A. T., Ahluwalia, T. S., Symeonides, C., EAGLE-Working Group, Eising, E., Franken, M.-C., Hypponen, E., Mansell, T., Olislagers, M., Omerovic, E., Rimfeld, K., Schlag, F., Selzam, S., Shapland, C. Y., Tiemeier, H., Whitehouse, A. J. O., Saffery, R., Bønnelykke, K., Reilly, S., Pennell, C. E., Wake, M., Cecil, C. A., Plomin, R., Fisher, S. E., & St Pourcain, B. (2024). Genome-wide analyses of vocabulary size in infancy and toddlerhood: Associations with Attention-Deficit/Hyperactivity Disorder and cognition-related traits. Biological Psychiatry, 95(1), 859-869. doi:10.1016/j.biopsych.2023.11.025.
Abstract
Background
The number of words children produce (expressive vocabulary) and understand (receptive vocabulary) changes rapidly during early development, partially due to genetic factors. Here, we performed a meta–genome-wide association study of vocabulary acquisition and investigated polygenic overlap with literacy, cognition, developmental phenotypes, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD).
Methods
We studied 37,913 parent-reported vocabulary size measures (English, Dutch, Danish) for 17,298 children of European descent. Meta-analyses were performed for early-phase expressive (infancy, 15–18 months), late-phase expressive (toddlerhood, 24–38 months), and late-phase receptive (toddlerhood, 24–38 months) vocabulary. Subsequently, we estimated single nucleotide polymorphism–based heritability (SNP-h2) and genetic correlations (rg) and modeled underlying factor structures with multivariate models.
Results
Early-life vocabulary size was modestly heritable (SNP-h2 = 0.08–0.24). Genetic overlap between infant expressive and toddler receptive vocabulary was negligible (rg = 0.07), although each measure was moderately related to toddler expressive vocabulary (rg = 0.69 and rg = 0.67, respectively), suggesting a multifactorial genetic architecture. Both infant and toddler expressive vocabulary were genetically linked to literacy (e.g., spelling: rg = 0.58 and rg = 0.79, respectively), underlining genetic similarity. However, a genetic association of early-life vocabulary with educational attainment and intelligence emerged only during toddlerhood (e.g., receptive vocabulary and intelligence: rg = 0.36). Increased ADHD risk was genetically associated with larger infant expressive vocabulary (rg = 0.23). Multivariate genetic models in the ALSPAC (Avon Longitudinal Study of Parents and Children) cohort confirmed this finding for ADHD symptoms (e.g., at age 13; rg = 0.54) but showed that the association effect reversed for toddler receptive vocabulary (rg = −0.74), highlighting developmental heterogeneity.
Conclusions
The genetic architecture of early-life vocabulary changes during development, shaping polygenic association patterns with later-life ADHD, literacy, and cognition-related traits.
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