Abstract
Abstract : Several studies have suggested an association between low penetrant alleles and breast cancer risk. Although the contribution of low penetrant alleles to the individual risk is relatively small, they can contribute to a large proportion of breast cancer case in the population. In this study we took the candidate gene approach to study the association of 32 different genetic polymorphisms with breast cancer risk in a population-based sample using a high-throughput SNParray technology. To date, we have successfully established the SNParrag method. We have evaluated the specificity of individual probes to detect genotypes correctly, and developed a multiplex hybridization procedure. We have also developed a complementary high-throughput genotyping method (TaqMan) to study SNPs which did not agree with SNParray method. We have developed a software to organize and evaluate the raw data obtained from SNParray scans. We have prepared and plated all the breast cancer and population control DNA samples to be studied. We have validated the SNParray method by comparing it to two other genotyping methods. Using the established technologies we are currently in progress of completing the genotyping of the proposed breast cancer cases and population controls.
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