Bioinformatics Approach to Discover the Relationship between Single Nucleotide Polymorphisms and Tumors

ESTs usually are used for genes expression in a particular organ, tissue. Genetic variations may make a contribution to understand a complex disease, such as cancer. SNP is a very important resource for protein structure and function. We are interested about the relationship between SNPs and tumors in humans. In the study, bioinformatics methods are used to identify potential candidate SNPs located in tumor development by analysis of publicly available databases. The detailed result would include mismatch or gap position from AVATAR database. The gene expression profiles of normal, precancer and cancer cells were from CGAP website's libraries. Through this data, we can discover candidate tumor-SNP pairs. Some significant data (P value< 0.05) were found by using Fisher's exact test. We find 21,622 SNPs which may result in tumors. These significant tumor-SNP pairs come from 37 tissues. Furthermore, the type of SNP dependent tumor is high frequency in C-to-T.