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. 2019 Apr 30;11:66. doi: 10.1186/s13148-019-0664-7

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Time to diagnosis and the association between the MI and breast cancer risk. Matched case-control pairs were stratified on median time to diagnosis in EPIC-Italy HM450K data (dataset 2) and in the four study cohorts included in the meta-analysis. The association between the MI and breast cancer risk was analyzed in the two groups. a The MI was significantly associated with breast cancer risk in EPIC-Italy pairs with a shorter time to diagnosis (n = 81 pairs, OR = 1.47, 95% CI 1.12–1.93, P = 0.005). b The MI was significantly associated with breast cancer risk in EPIC-Italy pairs with a longer time to diagnosis (n = 81 pairs, OR = 1.84, 95% CI 1.30–2.61, P = 0.001). c The combined meta-analysis including pairs with shorter time to diagnosis showed no significant association between the MI and breast cancer risk (OR = 1.03, 95% CI 0.98–1.08, P = 0.241). d The combined meta-analysis including pairs with shorter time to diagnosis showed no significant association between the MI and breast cancer risk (OR = 1.05, 95% CI 1.01–1.10, P = 0.021). The log odds ratios were combined in the meta-analyses using restricted-maximum likelihood model. ORs were adjusted for age, BMI, alcohol consumption, and smoking duration (all variables reported at recruitment) and WBC composition