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A meta-analysis and in silico analysis of polymorphic variants conferring breast cancer risk in the Indian subcontinent
D. Sengupta, S. Banerjee, P. Mukhopadhyay, U. Guha, K. Ganguly, S. Bhattacharjee,
Published in Future Medicine Ltd.
PMID: 32744066
Volume: 16
Issue: 27
Pages: 2121 - 2142
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. © 2020 Future Medicine Ltd.
About the journal
JournalFuture Oncology
PublisherFuture Medicine Ltd.