TITLE:
Microarray Meta Analysis of BRCA1 Mutated Genes Involved in Breast Cancer
AUTHORS:
Veerabhadrappa Kubsad Sukanya, Prashantha Nagaraja, Sumathra Manokaran, Aall Hanumanthareddy Manjunatha Reddy, Pallavi Surana
KEYWORDS:
Microarray, Breast Cancer, Drug Targets, Drug Discovery, Gene Signatures, Meta-Analysis, BRCA1, BRCA2
JOURNAL NAME:
Open Access Library Journal,
Vol.5 No.11,
November
26,
2018
ABSTRACT: Women with BRCA1 and BRCA2 gene mutations are at increased risk of breast cancer, compared with women who don’t carry the mutation in familial and somatic condition is remains challenge. The aim of this work is to identify differentially expressed gene patterns related with BRCA1 and BRCA2 gene mutations that significantly expressed in breast cancer drug targets. We have developed microarray meta-analysis to predict differential gene expression lev-els between hereditary BRCA1 mutations linked with sporadic breast cancer, using statistical methods to identify upregulated and downregulated genes to perform meta-analysis; further SVM classifier to identify gene ranks and their associated gene networks helps to classify gene profiles used for drug targets. We have predicted 2381 upregulated and 2057 down regulated genes that sig-nificantly (p-value