1. Genome-wide rare variant score associates with morphological subtypes of autism spectrum disorder.
- Author
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Chan, Ada J. S., Engchuan, Worrawat, Reuter, Miriam S., Wang, Zhuozhi, Thiruvahindrapuram, Bhooma, Trost, Brett, Nalpathamkalam, Thomas, Negrijn, Carol, Lamoureux, Sylvia, Pellecchia, Giovanna, Patel, Rohan V., Sung, Wilson W. L., MacDonald, Jeffrey R., Howe, Jennifer L., Vorstman, Jacob, Sondheimer, Neal, Takahashi, Nicole, Miles, Judith H., Anagnostou, Evdokia, and Tammimies, Kristiina
- Subjects
AUTISM spectrum disorders ,NUCLEOTIDE sequencing ,CONGENITAL disorders - Abstract
Defining different genetic subtypes of autism spectrum disorder (ASD) can enable the prediction of developmental outcomes. Based on minor physical and major congenital anomalies, we categorize 325 Canadian children with ASD into dysmorphic and nondysmorphic subgroups. We develop a method for calculating a patient-level, genome-wide rare variant score (GRVS) from whole-genome sequencing (WGS) data. GRVS is a sum of the number of variants in morphology-associated coding and non-coding regions, weighted by their effect sizes. Probands with dysmorphic ASD have a significantly higher GRVS compared to those with nondysmorphic ASD (P = 0.03). Using the polygenic transmission disequilibrium test, we observe an over-transmission of ASD-associated common variants in nondysmorphic ASD probands (P = 2.9 × 10
−3 ). These findings replicate using WGS data from 442 ASD probands with accompanying morphology data from the Simons Simplex Collection. Our results provide support for an alternative genomic classification of ASD subgroups using morphology data, which may inform intervention protocols. Morphological subtypes of autism spectrum disorder (ASD) may differ in their genetic bases. Chan et al. develop a method for calculating a patient-level, genome-wide rare variant score and find significant differences in rare and common variant associations between dysmorphic and nondysmorphic ASD groups. [ABSTRACT FROM AUTHOR]- Published
- 2022
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