In Silico Analysis of SNPs in Coding Region of Human c-Myc Gene

被引：0

作者：

Noreen, Mamoona ^{[1
]}

Murad, Sheeba ^{[1
]}

Khan, Hayat ^{[1
]}

机构：

[1] Natl Univ Sci & Technol, Atta Ur Rehman Sch Appl Biosci, Islamabad, Pakistan

来源：

PAKISTAN JOURNAL OF ZOOLOGY | 2015年 / 47卷 / 05期

关键词：

SNPs; c-Myc gene; single nucleotide polymorphism; SFIT; PolyPhen; GENOME-WIDE ASSOCIATION; NON-SYNONYMOUS SNPS; COLORECTAL-CANCER; BREAST-CANCER; TRANSCRIPTIONAL ACTIVATION; DNA-BINDING; PROTEIN; RISK; SUSCEPTIBILITY; RS6983267;

D O I：

暂无

中图分类号：

Q95 [动物学];

学科分类号：

071002 ;

摘要：

Deregulation and over expression of human c-Myc proto-oncogene protein can induce cancer. Presence of genetic variations is a key player among many others which affect susceptibility and progression of disease. Single nucleotide polymorphisms (SNPs) are the most frequent variations in human genome. Non synonymous single nucleotide polymorphisms (nsSNPs) leading to change in amino acids may result in altered protein structure, function and molecular morphology. We used SIFT, PolyPhen and SNPeffect algorithms to predict tolerant and deleterious SNPs in coding region of c-Myc gene and their possible structural, molecular and phenotypic effects on c-Myc protein. Effect of four nsSNPs of coding region; rs 114570780 (Tyr47His), rs150308400 (Cys148Tyr), rs137906262 (Leu159Ile) and rs200431478 (Ser362Phe) is predicted to be damaging. These results may form the basis for further large-scale population based association studies.

引用

页码：1305 / 1318

页数：14

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