Gene-environment interactions in 7610 women with breast cancer: prospective evidence from the Million Women Study.

For three other interactions, conventional p values were of borderline significance: TNRC9 SNP rs3803662 for age at menopause (p heterogeneity =0·02); 2q35-rs13387042 for age at menarche (p heterogeneity =0·04); and 5q-rs30099 for use of HRT (p heterogeneity =0·01).

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The effects of most of the ten factors on breast cancer incidence have already been shown to be highly significant for the entire Million Women Study cohort. 16–19 To describe the main effect of each of the 12 SNPs on the relative risk for breast cancer, logistic regression models were applied, calculating the per-allele relative risks for the high-risk versus the low-risk allele, adjusted by age at recruitment (50–52, 53–55, 56–58, 59–61, and ≥62 years) and by ten regions in the UK (corresponding to UK cancer registration regions).

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