title: Prediction and Analysis of Breast Cancer Related Deleterious Non-Synonymous Single Nucleotide Polymorphisms in the PTEN Gene.
abstract: One of the most common cancer types faced by the women around the world is breast cancer. Among the several low, moderate and high penetrance genes conferring susceptibility to breast cancer, PTEN is one which is known to be mutated in many tumor types. In this study, we predicted and analyzed the impact of three deleterious coding non-synonymous single nucleotide polymorphisms rs121909218 (G129E), rs121909229 (R130Q) and rs57374291 (D107N) in the PTEN gene on the phenotype of breast tumors using computational tools SIFT, Polyphen-2, PROVEAN, MUPro, POPMusic and the GETAREA server.
authors.affiliation: Department of Zoology, Sri Venkateswara University, Tirupati, India E-mail : ysuneethareddy4@gmail.com.
authors.forename: C Kumaraswamy
authors.initials: CK
authors.lastname: Naidu
authors.forename: Y
authors.initials: Y
authors.lastname: Suneetha
mesh_terms: D019943:Amino Acid Substitution; D014408:Biomarkers, Tumor / Q000235:genetics*; D001943:Breast Neoplasms / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D005260:Female; D006801:Humans; D009154:Mutation / Q000235:genetics*; D051059:PTEN Phosphohydrolase / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011237:Predictive Value of Tests
chemical_list: D014408:Biomarkers, Tumor; D051059:PTEN Phosphohydrolase; C494929:PTEN protein, human