Publication Type:

Journal Article


International Journal of Research in Pharmaceutical Sciences, Volume 4, Number 1, p.70-72 (2013)



article, cdh13 gene, cpne3 gene, ctbp2 gene, EHBP1 gene, gas chromatography, gene, gene mutation, il16 gene, JAZF1 gene, klk3 gene, lmtk2 gene, mutational analysis, nudt10 gene, nudt11 gene, pharmacogenomics, probability, prostate cancer, restriction fragment length polymorphism, signal transduction, silent gene, single nucleotide polymorphism, untranslated region


Single Nucleotide Polymorphisms (SNPs) are the most common genetic variation among individuals. The work aims at identifying the SNPs associated with prostate cancer. In the present work, pharmacogenomic analysis has been carried out to analyze the impact of functional SNPs in prostate cancer. 11 genes involved in signal transduc-tion in prostate cancer have been subjected to genomic analysis. The genomic analysis protocol includes microsa-tellite analysis, restriction fragment length polymorphism (RFLP) analysis, silent mutation analysis, GC content Analysis and deleterious SNP analysis. From the deleterious SNP analysis, it has been found that the mutations rs28571178 in IL16 (5′ UTR) and rs17854206 in JAZF1 (3′ UTR) cause functional effects on the specific genes. Upon stability analysis of native and mutated proteins, it has been concluded that the above deleterious mutations are supported by nature due to their increased stability. These SNPs have been identified as the most deleterious in causing prostate cancer. © JK Welfare & Pharmascope Foundation.


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Cite this Research Publication

, Sukumaran, Ja, ,, ,, and P. K. Krishnan Namboori, “Pharmacogenomic analysis of individual variation in prostate cancer”, International Journal of Research in Pharmaceutical Sciences, vol. 4, pp. 70-72, 2013.