SFARI is working to advance autism science by providing a number of key resources to researchers.
We solicit applications for SFARI Awards from individuals who will conduct bold, imaginative, rigorous and relevant research in four main research areas: gene discovery, molecular mechanisms, circuits, cognition and behavior, and clinical.
Kyle Kai-How Farh and Stephan Sanders developed a deep-learning method to predict risk mutations that affect mRNA splicing and contribute substantially to neurodevelopmental disorders.
Vinod Menon and colleagues report that a difference in the activation of a voice-processing network comprising reward and salience detection systems is a distinguishing feature of autism.
Mark Daly and colleagues report the results of a large genome-wide association meta-analysis of more than 18,000 individuals with ASD, including the newly genotyped Danish iPSYCH cohort.