Saturation variant interpretation using CRISPR prime editing.

High-throughput functional characterization of genetic variants in their endogenous locus has so far been possible only with methods that rely on homology-directed repair, which are limited by low editing efficiencies. Here, we adapted CRISPR prime editing for high-throughput variant classification and combined it with a strategy that allows for haploidization of any locus, which simplifies variant interpretation. We demonstrate the utility of saturation prime editing (SPE) by applying it to the NPC intracellular cholesterol transporter 1 gene (NPC1), mutations in which cause the lysosomal storage disorder Niemann-Pick disease type C.

Allele-Specific Prevention of Nonsense-Mediated Decay in Cystic Fibrosis Using Homology-Independent Genome Editing.

Nonsense-mediated decay (NMD) is a major pathogenic mechanism underlying a diversity of genetic disorders. Nonsense variants tend to lead to more severe disease phenotypes and are often difficult targets for small molecule therapeutic development as a result of insufficient protein production. The treatment of cystic fibrosis (CF), an autosomal recessive disease caused by mutations in the gene, exemplifies the challenge of therapeutically addressing nonsense mutations in human disease.

Modeling Niemann-Pick disease type C in a human haploid cell line allows for patient variant characterization and clinical interpretation.

The accurate clinical interpretation of human sequence variation is foundational to personalized medicine. This remains a pressing challenge, however, as genome sequencing becomes routine and new functionally undefined variants rapidly accumulate. Here, we describe a platform for the rapid generation, characterization, and interpretation of genomic variants in haploid cells focusing on Niemann-Pick disease type C (NPC) as an example.