Narrative review demonstrates how single-nucleotide polymorphisms alter translational output, highlighting current limitations in predicting mutation effects on gene expression.
Over the past 15 years, sequencing of the human genome and The Cancer Genome Atlas (TCGA) project have led to comprehensive lists of single-nucleotide polymorphisms (SNPs) and gene mutations across a large number of human samples. However, our ability to predict the functional impact of SNPs and mutations on gene expression is still in its infancy. Here, we provide key examples to help understand how mutations present in genes can affect translational output.
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Robert et al. (2018) studied this question.
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