Objective Prior studies investigating the association between APOE alleles ε2 / ε4 and risk of Intracerebral Hemorrhage (ICH) have been inconsistent, limited to small sample sizes and did not account for confounding by population stratification or determine which genetic risk model was best applied. Methods We performed a large-scale genetic association study of 2,189 ICH cases and 4,041 controls from seven cohorts, which were analyzed using additive models for ε2 and ε4. Results were subsequently meta-analyzed using a random effects model. A proportion of the individuals (322 cases and 357 controls) had available genome-wide data to adjust for population stratification. Results ε2 and ε4 were associated with lobar ICH at genome-wide significance levels (Odds Ratio (OR) = 1.82, 95% Confidence Interval (CI) 1.50 – 2.23, p = 6.6 × 10−10 and OR = 2.20, 95%CI 1.85 – 2.63, p = 2.4 × 10−11 respectively). Restriction of analysis to definite / probable CAA ICH uncovered a stronger effect. ε4 was also associated with increased risk for deep ICH (OR = 1.21, 95% CI 1.08 – 1.36, p = 2.6 × 10−4). Risk prediction evaluation identified the additive model as best for describing the effect of APOE genotypes. Interpretation APOE ε2 and ε4 are independent risk factors for lobar ICH, consistent with their known associations with amyloid biology. In addition, we present preliminary findings on a novel association between APOE ε4 and deep ICH. Finally, we demonstrate that an additive model for these APOE variants is superior to other forms of genetic risk modeling previously applied.

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