Abstract
Single nucleotide polymorphisms (SNPs) allow researchers to generate a wealth of data when examining genetic variation and mapping the location of disease causing genes. A novel approach to SNPs analysis has been devised by Japanese researchers, Hangil Chang and Toshiro Fujita. They have constructed a catalog of SNPs where the polymorphism changes the amino acid sequence (called nonsynonymous or nsSNPs) and is therefore more likely to change the function of the protein in question. Chang and Fujita extracted 1 190 295 SNPs from the public databases. Of these, 3793 were found to be nsSNPs and could be classified into 1247 categories based on protein function. A search of protein domains and functional sites in the SwissProt database revealed that 495 annotations contained nsSNPs, including 38 in transmembrane regions. This public database can be accessed at http://picsnp.org. (Chang, H. and Fujita, T. [2001] Biochem. Biophys. Res. Commun. 287, 288–291) SG
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