The impact of genetically controlled splicing on exon inclusion and protein structure.
Ontology highlight
ABSTRACT: Common variants affecting mRNA splicing are typically identified though splicing quantitative trait locus (sQTL) mapping and have been shown to be enriched for GWAS signals by a similar degree to eQTLs. However, the specific splicing changes induced by these variants have been difficult to characterize, making it more complicated to analyze the effect size and direction of sQTLs, and to determine downstream splicing effects on protein structure. In this study, we catalogue sQTLs using exon percent spliced in (PSI) scores as a quantitative phenotype. PSI is an interpretable metric for identifying exon skipping events and has some advantages over other methods for quantifying splicing from short read RNA sequencing. In our set of sQTL variants, we find evidence of selective effects based on
SUBMITTER: Einson J
PROVIDER: S-EPMC10936842 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
ACCESS DATA