Communications Biology · 2024 · 16 citations · 22 references
Life SciencesGeneticsMolecular BiologyGene ExpressionGenomicsTranscriptomicsAllele-specific Expression AnalysisCancer GenomicsCancer TranscriptomicsGene Expression NoiseMutational SignaturesNonsense-mediated DecayAllele FrequencyAllele-specific ExpressionAllele-specific Expression QuantificationAllele-specific Gene ExpressionLoss-of-function VariantsMutational ConstraintMutational VariationNonsense-mediated Mrna Decay
Despite its importance for regulating gene expression, nonsense-mediated mRNA decay (NMD) remains poorly understood. Here, we extend the findings of a previous landmark study that proposed several factors associated with NMD efficiency using matched genome and transcriptome data from The Cancer Genome Atlas Program (TCGA) by incorporating additional data including Genotype-Tissue Expression (GTEx), gnomAD, and metrics for mutational constraints. Factors affecting NMD efficiency are analyzed using an allele-specific expression (ASE)-based measure to reduce noise caused by random variations. Additionally, by combining our data with the updated allele frequency database of gnomAD, we demonstrate the spectrum of NMD efficiency according to the degree of gene-level mutational constraints (degree of a gene-tolerating loss-of-function variants). The NMD prediction model, trained on TCGA data, shows that gene-level mutational constraint is an important predictor of NMD efficiency. Findings of this study suggest the potential role of NMD on shaping the landscape of mutational constraints.
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