Title: Prediction of mutations in ATM gene responsible for breast cancer in women – a cancer-informatics approach

Authors: R. Sindhuja, R. Seenivasagam, K. Hemavathi

Addresses: Department of Bioinformatics, School of Chemical and Biotechnology, Shanmugha Arts Science Technology & Research Academy (SASTRA University), Tanjore-613402, Tamilnadu, India. ' Department of Drug Discovery, St. Joseph College, P.B. 27094, 36, Lalbagh Road, Bangalore, Karnataka 560027, India. ' Department of Bioinformatics, School of Chemical and Biotechnology, Shanmugha Arts Science Technology & Research Academy (SASTRA University), Tanjore-613402, Tamilnadu, India

Abstract: Cancer is an abnormal growth of cells caused by multiple changes in gene expression. Breast cancer is a cancer of the glandular breast tissue. The BRCA1 and BRCA2 genes were considered as greatly increasing occurrence of inherited breast cancer, however, it was found that the damaged ataxia telangiectasia mutated (ATM) genes were also equal culprits. The ATM gene (NC_000011.8) is very large and mutations occur throughout its amino acid coding portions. The present work discusses the use of bioinformatics tools in analysing the ATM gene|s role in breast cancer.

Keywords: systems biology; in-silico analysis; gene mutations; breast cancer; immunogenetics; ataxia telangiectasia; ATM genes; mutated genes; amino acid coding; bioinformatics.

DOI: 10.1504/IJIS.2011.041721

International Journal of Immunological Studies, 2011 Vol.1 No.3, pp.229 - 248

Published online: 30 Dec 2014 *