The in-silico analysis was further used to fortify the above findings. We identified four SNPs of genes TCF21, SLC19A1, DCC, and ERCC1 showing significant association with BC in the population under study. In this present study, we analyzed 15 SNPs of 14 genes in 550 samples (150 cases and 400 controls). SNP genotyping employing the Agena MassARRAY offers a robust, sensitive, cost-effective method to assess multiple SNPs and samples simultaneously. The most common genetic variants studied are SNPs (Single Nucleotide Polymorphisms) that determine susceptibility to an array of diseases thus serving as a potential tool for identifying the underlying causes of breast carcinogenesis. High throughput genotyping of BC samples has led to the identification and characterization of biomarkers for the diagnosis of BC. Breast Cancer (BC) is associated with inherited gene mutations.
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