Intragenic modifiers can have dramatic effects on phenotypic outcomes, and in disease, can affect attributes such as severity or age of onset. However, the focus of many modifier screens in model systems is the identification and interpretation of extragenic variants rather than understanding the link between intragenic modifiers and phenotype. Accordingly, technological advances in the field, such as the use of whole-genome sequencing (WGS) or CRISPR, tend to be reserved for the discovery and interpretation of extragenic variants, whereas intragenic modifiers still rely on more traditional methods, such as PCR and Sanger sequencing. We demonstrate that intragenic modifier discovery and interpretation following modifier screens benefits greatly from WGS and CRISPR technologies by subjecting strains generated from a chemical mutagenesis suppressor screen using a temperature-sensitive
zyg-1(
it25) allele to WGS, filtering for intragenic variants using an in-house pipeline, and validating with CRISPR and homology-directed repair. Following this method, we rapidly identify that approximately 10% of our strains contain intragenic
zyg-1 variants. By re-creating the intragenic variants in the parental strain, we show that most intragenic variants suppress the original phenotype, but this is not universal. Based on this, we encourage extending variant validation using CRISPR to intragenic variants to determine whether they are truly capable of modifying the original primary variant and to what extent. For those intragenic variants that are capable of suppressing, the position of the variant in comparison to the original primary variant matters; closer modifying variants are more likely to be true suppressors and have a higher suppression ability, which has important implications in understanding complex alleles in disease. Finally, genomic context, as provided by WGS, plays an important role in our interpretation of the contribution of the variant to suppression dynamics. For instance, several of the strains contain extragenic variants that, in addition to the intragenic variant, are proposed to enhance suppression. In contrast, we identified a strain with substantial genetic burden, dampening the suppression ability of the intragenic variant. Altogether, this work describes a methodology for the high-throughput identification of intragenic modifiers and highlights the importance of thoroughly understanding the phenotypic contribution of intragenic modifiers.