The genotype-combination analysis of the associated PPARGC1A Thr612Met variant and the associated PPARGC1B Ala203Pro variant suggests an allele dose-dependent breast cancer risk (P(trend) = 0.0004).
After multivariate logistic regression analysis, we found that three CpG-SNPs: rs1190983, rs155247, and rs62382272, were significantly associated with breast-cancer susceptibility in the population (Additive model: rs1190983: adjusted OR = 0.88, 95% CI: 0.79-0.99, P = 0.034; rs155247: adjusted OR = 0.83, 95% CI: 0.74-0.93, P = 0.002; rs62382272: adjusted OR = 1.24, 95% CI: 1.04-1.47, P = 0.016). eQTL analysis showed that these three SNPs were correlated with the expression of the related miRNAs in TCGA breast cancer tissues (P = 0.006,0.009,0.001 for rs1190983, rs155247, and rs62382272).