In this work, we develop a computational epigenetic and statistical framework to analyze extensive TF ChIP-seq data (Supplementary Data 1) and GWAS summary statistics data (n = 11,337,849 genetic variants) from the Breast Cancer Association Consortium (BCAC) with a goal to establish a landscape of genetic variations for TF-DNA bindings of risk associated TFs for breast cancer. Here, TF is linked to breast carcinoma.