SPARK

A deep learning model for prediction of autism status using whole-exome sequencing data.

Delayed milestones and demographic factors relate to the accuracy of autism screening in females using spoken language.

Expanded clinical phenotype spectrum correlates with variant function in SCN2A-related disorders.

Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs.

Fewer children with autism spectrum disorder with motor challenges receive physical and recreational therapies compared to standard therapies: A SPARK data set analysis.

Impact of a genetic diagnosis for a child’s autism on parental perceptions.

Identification of moderate effect size genes in autism spectrum disorder through a novel gene pairing approach.

Evidence-based recruitment strategies for clinical research: Study personnel’s and research participants’ perceptions about successful methods of outreach for a U.S. Autism-Research Cohort.

Contribution of autosomal rare and de novo variants to sex differences in autism.

Demographic differences in access to health/therapeutic services over first year of the pandemic: a SPARK COVID-19 impact survey analysis.

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