Autism spectrum disorder (ASD) is caused by both environmental and genetic factors, with the genetic
contribution estimated at 60-80%. Dozens of genes that increase risk for ASD have been identified, most based
on de novo mutations, but these mutations are predicted to account for only 15-20% of ASD cases. Thus, the
majority of the genetic contribution to ASD is predicted to result from common and rare inherited variation, but
few such genes have been identified. Recently, using whole genome sequencing, we reported genome wide
evidence for >60 ASD risk genes, 26 of them novel for ASD, with signals derived from inherited and de novo
protein truncating or missense mutations. The functions of most of these genes are unknown, so a crucial and
necessary next step is to explore their impact on neurodevelopment and neuronal function using a model
organism. The current pace of translating genetic risk factors into phenotypes, mechanisms and therapies is
limited in part by inefficiencies with in vivo mammalian model systems, which makes them impractical for creating
and behaviorally testing large numbers of mutant lines. Here, we leverage the zebrafish, which occupies a unique
niche as a vertebrate model with features amenable to both in vivo screening and mechanistic understanding,
including ex utero development, transparency, small size, rapid development, a conserved yet relatively simple
vertebrate brain, behaviors relevant to ASD, and cost-effectiveness relative to mammalian models. While the
zebrafish cannot recapitulate ASD and has limitations for modeling a human disorder, an emerging literature
supports the notion that it is a useful model to study the functions of genes that contribute to ASD risk. Rather
than assess ASD-risk genes one at a time, we will accelerate progress towards mechanistic understanding via
high-throughput assays and analyses. In Specific Aim 1 we will generate null mutations in the zebrafish orthologs
of 24 high confidence, novel, genome-wide significant ASD risk genes, and systematically test each mutant for
neurodevelopmental, behavioral, neuronal network, and transcriptomic phenotypes. In Specific Aim 2, we will
use transcriptomic analyses, at the whole brain and single cell levels, to integrate ASD risk genes into functional
networks, and test for convergence across genes and species, including ASD post mortem brain. We will also
test for functional associations among behavioral phenotypes that are often co-morbid in ASD, such as disrupted
sleep and social behavioral deficits. In Specific Aim 3 we will perform mechanistic studies to understand how
mutation of specific ASD-risk genes leads to phenotypes. This project will efficiently and cost-effectively create
and characterize vertebrate animal models for a large number of novel ASD risk genes. These animal models
will be a valuable resource for the community, particularly for large-scale in vivo drug screens to identify new
therapies for ASD.