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Identification of modifier genes predisposing to breast cancer (BC) phenotype remains a significant challenge and varies with ethnicity. The genetic variability observed in DNA repair genes may modulate the cell's ability to repair the damaged DNA and hence, evaluation of genetic variants in crucial DNA damage repair genes is of clinical importance. We performed the present study to evaluate the role of ERCC2-Lys751Gln, hOGG1-Ser326Cys, and XRCC1-Arg399Gln gene polymorphisms on the risk of BC development and its molecular profile in Indian women. Three non-synonymous variants (rs13181, rs1052133, and rs25487) were genotyped in 464 BC patients and 450 healthy controls. Logistic regression was employed to evaluate the association of genotypes with BC risk. Also, in silico analysis was carried out to map the Arg399Gln variant on the BRCT1 domain of XRCC1 protein. XRCC1 Gln/Gln genotype frequency was significantly elevated in BC patients [odd ratio (OR) = 1.73; 95% confidence interval (CI) = 1.13-2.65]. No significant association was observed between hOGG1-Ser326Cys and ERCC2-Lys751Gln variants and BC risk. Subgroup analysis revealed that ERCC2-Lys751Gln and XRCC1-Arg399Gln variants contributed towards tumor progression. A positive interaction between the investigated SNPs and BC was revealed by MDR analysis. Arg399Gln variant resulted in a change in the surface charge of XRCC1 protein. The rs25487 variant of XRCC1 might be associated with an elevated risk of BC. Furthermore, we demonstrated that high order gene-gene interaction plays a significant role in BC etiology. Hence, understanding the impact of low penetrant gene polymorphisms might enable a better understanding of the genetic background of breast cancer.