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Published on: August 24, 2013
Human SNPs resulting in premature stop codons and protein truncation
Sevtap Savas1, Sukru Tuzmen, Hilmi Ozcelik
1Fred A. Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON, M5G 1X5, Canada.
Common human genetic variations called single nucleotide polymorphisms (SNPs) that create premature termination codons (PTCs), or X-SNPs, can impact gene and protein function. This study identified 28 human X-SNPs, revealing their prevalence and population distribution.
Area of Science:
- Genetics
- Molecular Biology
- Bioinformatics
Background:
- Single nucleotide polymorphisms (SNPs) are common genetic variations.
- SNPs introducing premature termination codons (PTCs), termed X-SNPs, can affect transcript and protein stability/function.
- Previous research suggested strong negative selection against PTC-introducing variations.
Purpose of the Study:
- To perform a genome-wide screening for human X-SNPs.
- To analyze the potential biological consequences and population distribution of identified X-SNPs.
Main Methods:
- Systematic genome-wide screening using the dbSNP database.
- Analysis of predicted effects on mRNA stability (nonsense-mediated decay) and protein truncation.
- Assessment of X-SNP distribution across diverse human populations.
Main Results:
- Identified 28 human X-SNPs in 28 genes with known minor allele frequencies.
- Predicted nonsense-mediated mRNA decay for 28.6% of X-SNPs.
- Found that 60.7% of X-SNPs lead to significant protein truncation (>50% amino acid deletion).
- Observed that 78.6% of X-SNPs are common, unlike rare disease-causing PTC mutations.
- Detected non-uniform population distribution, with some X-SNPs prevalent across multiple populations and others specific to one or two.
Conclusions:
- Systematically identified human X-SNPs and evaluated their potential biological and evolutionary implications.
- The identified X-SNPs are likely to influence gene and protein function.
- Further investigation is required to fully understand the biological and evolutionary roles of these X-SNPs.
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