Decomposing the genetic risk of autism spectrum disorder into discrete molecular subtypes underlie clinical heterogeneity based on transcriptome profile.

Abstract excerpt

BACKGROUND: Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental condition with a complex genetic architecture. While over a thousand risk genes have been cataloged, a fundamental challenge remains how this vast genetic landscape translates into diverse clinical manifestations. To address this, we propose a "many-to-few" framework, shifting from traditional "many-to-one" convergence model...

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