Origins and implications of intron retention quantitative trait loci in human tissues.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41192419.
- Also identified by DOI 10.1016/j.ajhg.2025.10.002 and PMC identifier 12808957.
- Licence recorded as CC BY-NC-ND.
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Abstract
Intron retention is a type of alternative splicing in which introns remain unspliced in mature RNA transcripts. In order to explore the landscape and consequences of genetically regulated intron retention, we perform an intron retention quantitative trait locus (irQTL) analysis in 49 human tissues across 838 individuals. We identify 8,624 unique intron retention events associated with genetic polymorphisms. 1,369 irQTLs (16%) are also associated with genome-wide association study (GWAS) traits. 1,999 irQTLs (23%) colocalize with expression QTLs (eQTLs) to their respective gene. We demonstrate that irQTLs are sufficient to generate eQTLs when one of the alternatively spliced transcripts is preferentially targeted by the nonsense-mediated decay (NMD) pathway. Surprisingly, for intron retention events whose potential NMD effects can be confidently predicted based on their positions within known gene annotations, we find that 58.8% (923/1,570) of the colocalized irQTL and eQTL pairs show effect-size directions that are discordant with the NMD model. Moreover, we find that irQTLs are significantly more likely to occur in the same gene with the same effect-size direction as compared to exon-skipping QTLs. Through mathematical modeling and analysis of experimental perturbation data, we provide evidence that eQTLs are able to generate irQTLs by altering the steady-state ratios of spliced and unspliced transcripts, and we postulate that this mechanism may partially underlie the widespread intron retention observed previously in various biological conditions. Taken together, these results show that intron retention and steady-state gene expression levels are closely intertwined to regulate phenotypic traits.
Medical subject headings
- Quantitative Trait Loci
- Introns
- Alternative Splicing