Figure 1: Quantile–quantile (QQ) plots of the observed P-values for association in the discovery stage.

QQ plot of the observed −log10 P-values (y axis) versus the ‘expected’ −log10 rank P-values (x axis) for trend tests of association of 7,020 human immunology and inflammation SNPs, with the risk of dying from breast cancer for all ER-negative breast cancer patients (black/below) and ER-negative patients treated with adjuvant chemotherapy (blue/above) (genomic inflation factor, λ=1.16 and 1.14, respectively) in the discovery phase. The grey region indicates bootstrapped 95% confidence intervals. The diagonal red line indicates expected results under null hypothesis. The dotted lines indicate Bonferroni threshold for multiple-testing correction (2,184 independent tests with r2<0.2).