A meta-analysis and in silico analysis of polymorphic variants conferring breast cancer risk in the Indian subcontinent.
Debmalya SenguptaSouradeep BanerjeePramiti MukhopadhyayUdayan GuhaKausik GangulySamsiddhi BhattacharjeeMainak SenguptaPublished in: Future oncology (London, England) (2020)
Background: Genetic association studies on breast cancer on the Indian subcontinent have yielded conflicting results, and the precise effect of these variants on breast cancer pathogenesis is not known. Methods: Genomic variants, as obtained from selected studies from the Indian subcontinent, were subjected to random-effects and fixed-effect meta-analysis. Functional annotation of the relevant variants was done through a tried and tested in silico pipeline. Results: We found rs4646903/CYP1A1, rs1799814/CYP1A1, rs61886492/GCPII, del2/GSTM1, rs4680/COMT and rs1801394/MTRR to be associated with breast cancer. The del2/GSTM1 holds the association in premenopausal women. Conclusions: This is the first study of its kind from the Indian subcontinent analysing the extent of association of variants across populations followed by their functional annotation in the disease pathway.