Application of two statistical approaches (Bayesian Kernel Machine Regression and Principal Component Regression) to assess breast cancer risk in association to exposure to mixtures of brominated flame retardants and per- and polyfluorinated alkylated substances in the E3N cohort.

2 -A). Regarding the relationship between each substance and breast cancer risk while setting all other exposure variables at their median value, concerning the BFR, a positive trend was observed with PBDE-28, and PBDE-99, while an inverse relationship was observed with PBDE-47 and PBDE-100.

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Concerning PFAS, a positive trend was observed for PFOS, PFOSA, and N_MeFOSAA, while a negative trend was observed for N_EtFOSAA, and PFUnA (Fig. 1 -A).

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