SFARI

The Linking Early Neurodevelopment to Neural Circuit Outcomes RFA aims to bridge the gap in our understanding of whether and how developmental phenotypes caused by autism risk gene mutation lead to altered circuit formation and function. We strongly encourage proposals involving close collaboration between investigators from a range of backgrounds, such as developmental neurobiologists and circuit neuroscientists, in order to convincingly demonstrate causal links between disparate phenotypes in the chosen model(s).

The Human Cognitive and Behavioral Science RFA prioritized research that produces foundational knowledge about the neurobehavioral differences associated with ASD. These projects were expected to inform or relate to the development and refinement of tools needed for translational efforts, such as biomarkers and outcome measures. Special emphasis was placed on objective, quantitative measures that may be used in conjunction with standardized clinical measures and genomic information to better characterize phenotypic and neurobiological variability within and across individuals with ASD.

Grants awarded through the Cross-Species Studies of ASD RFA were intended to support multi-disciplinary teams of PIs with expertise in both human and animal research to perform coordinated cross-species studies to advance our understanding of ASD-relevant behaviors and their underlying neurobiological mechanisms, with the potential for developing novel biomarkers or interventions.

Grants awarded through this RFA were intended to advance our understanding of the genetic basis of autism. Investigators who are interested in analyzing genomic data in innovative ways from thousands of SPARK families were encouraged to apply.

Grants awarded through this RFA were intended to advance our understanding of the genetic basis of autism, and in particular, to begin to assess genetic variants conferring risk in non-coding regions and in coding regions of the genome that may be less accessible to whole-exome sequencing. Investigators who are interested in developing innovative and efficient ways to analyze whole-genome sequencing data from 500 Simons Simplex Collection (SSC) families were encouraged to apply.