Genetic variants affecting RNA stability influence complex traits and disease risk
Elaine Huang1, Ting Fu2, Ling Zhang2
1Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA.
Abstract:
Gene expression is modulated jointly by transcriptional regulation and messenger RNA stability, yet the latter is often overlooked in studies on genetic variants. Here, leveraging metabolic labeling data (Bru/BruChase-seq) and a new computational pipeline, RNAtracker, we categorize genes as allele-specific RNA stability (asRS) or allele-specific RNA transcription events. We identify more than 5,000 asRS variants among 665 genes across a panel of 11 human cell lines. These variants directly overlap conserved microRNA target regions and allele-specific RNA-binding protein sites, illuminating mechanisms through which stability is mediated. Furthermore, we identified causal asRS variants using a massively parallel screen (MapUTR) for variants that affect post-transcriptional mRNA abundance, as well as through CRISPR prime editing approaches. Notably, asRS genes were enriched significantly among a multitude of immune-related pathways and contribute to the risk of several immune system diseases. This work highlights RNA stability as a critical, yet understudied mechanism linking genetic variation and disease.
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