The expansion in 2018 of GWAS data on persons with autism, through the iPSYCH and Psychiatric Genetics Consortium, has finally resulted in a sufficiently powered sample size (n=46,350) to detect common variants associated with ASD. These precise SNP-based association effect estimates enable derivation of a polygenic risk score (PRS), which captures the overall burden of genetic susceptibility to ASD (ASD-PRS). Quantitative PRS measures of individual genetic liability can serve as powerful tools to address pressing questions in autism research across a wide-range of settings. This panel will showcase the use of PRS to gain insights into ASD. First, we show that the iPSYCH-PGC PRS, discovered in a predominantly European sample, also associates with ASD case status in a racially and ethnically diverse US-based epidemiology sample (Benke; SEED sample). Second, we use PRS to determine the contribution of common variants to phenotypic variation in quantitative autistic traits among a clinically ascertained familial sample (Constantino; AGRE sample). Third, we compare PRS-based measures of ASD risk to psychiatric family history-based ASD risk (Schendel; Danish iPSYCH sample). Fourth, we use PRS concepts to provide insights into ASD subphenotypes (Grove; Danish iPSYCH sample). Our discussant will summarize emerging themes and future directions in ASD-PRS research.