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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 Sengupta
Published 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.
Keyphrases
  • copy number
  • breast cancer risk
  • systematic review
  • molecular docking
  • randomized controlled trial
  • dna methylation
  • gene expression
  • meta analyses
  • pregnancy outcomes