Human SNPs resulting in premature stop codons and protein truncation

• Published in: Human genomics Vol. 2; no. 5; pp. 274 - 286
• Main Authors: Savas, Sevtap, Tuzmen, Sukru, Ozcelik, Hilmi
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01-03-2006; BioMed Central; BMC
• Subjects: Codon, Terminator - genetics; Evolution, Molecular; evolutionary selection; Genetics, Medical; Human Genome Project; Humans; nonsense-mediated mRNA decay; Polymorphism, Single Nucleotide; population distribution; premature termination codons; Primary Research; Proteins - genetics; RNA, Messenger - genetics; Selection, Genetic; Sequence Deletion; SNP; Transcription, Genetic
• ISSN: 1479-7364; 1473-9542; 1479-7364
• DOI: 10.1186/1479-7364-2-5-274

Single nucleotide polymorphisms (SNPs) constitute the most common type of genetic variation in humans. SNPs introducing premature termination codons (PTCs), herein called X-SNPs, can alter the stability and function of transcripts and proteins and thus are considered to be biologically important. Initial studies suggested a strong selection against such variations/mutations. In this study, we undertook a genome-wide systematic screening to identify human X-SNPs using the dbSNP database. Our results demonstrated the presence of 28 X-SNPs from 28 genes with known minor allele frequencies. Eight X-SNPs (28.6 per cent) were predicted to cause transcript degradation by nonsense-mediated mRNA decay. Seventeen X-SNPs (60.7 per cent) resulted in moderate to severe truncation at the C-terminus of the proteins (deletion of >50 per cent of the amino acids). The majority of the X-SNPs (78.6 per cent) represent commonly occurring SNPs, by contrast with the rarely occurring disease-causing PTC mutations. Interestingly, X-SNPs displayed a non-uniform distribution across human populations: eight X-SNPs were reported to be prevalent across three different human populations, whereas six X-SNPs were found exclusively in one or two population(s). In conclusion, we have systematically investigated human SNPs introducing PTCs with respect to their possible biological consequences, distributions across different human populations and evolutionary aspects. We believe that the SNPs reported here are likely to affect gene/protein function, although their biological and evolutionary roles need to be further investigated.