TY - JOUR
T1 - Variants at APOE influence risk of deep and lobar intracerebral hemorrhage
AU - Biffi, Alessandro
AU - Sonni, Akshata
AU - Anderson, Christopher D.
AU - Kissela, Brett
AU - Jagiella, Jeremiasz M.
AU - Schmidt, Helena
AU - Jimenez-Conde, Jordi
AU - Hansen, Björn M.
AU - Fernandez-Cadenas, Israel
AU - Cortellini, Lynelle
AU - Ayres, Alison
AU - Schwab, Kristin
AU - Juchniewicz, Karol
AU - Urbanik, Andrzej
AU - Rost, Natalia S.
AU - Viswanathan, Anand
AU - Seifert-Held, Thomas
AU - Stoegerer, Eva Maria
AU - Tomás, Marta
AU - Rabionet, Raquel
AU - Estivill, Xavier
AU - Brown, Devin L.
AU - Silliman, Scott L.
AU - Selim, Magdy
AU - Worrall, Bradford B.
AU - Meschia, James F.
AU - Montaner, Joan
AU - Lindgren, Arne
AU - Roquer, Jaume
AU - Schmidt, Reinhold
AU - Greenberg, Steven M.
AU - Slowik, Agnieszka
AU - Broderick, Joseph P.
AU - Woo, Daniel
AU - Rosand, Jonathan
PY - 2010/12
Y1 - 2010/12
N2 - Objective: Prior studies investigating the association between APOE alleles ε2/ε4 and risk of intracerebral hemorrhage (ICH) have been inconsistent and 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 2189 ICH cases and 4041 controls from 7 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, 357 controls) had available genome-wide data to adjust for population stratification. Results Alleles 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 cerebral amyloid angiopathy ICH uncovered a stronger effect. Allele 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.
AB - Objective: Prior studies investigating the association between APOE alleles ε2/ε4 and risk of intracerebral hemorrhage (ICH) have been inconsistent and 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 2189 ICH cases and 4041 controls from 7 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, 357 controls) had available genome-wide data to adjust for population stratification. Results Alleles 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 cerebral amyloid angiopathy ICH uncovered a stronger effect. Allele 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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U2 - 10.1002/ana.22134
DO - 10.1002/ana.22134
M3 - Article
C2 - 21061402
AN - SCOPUS:78650888295
SN - 0364-5134
VL - 68
SP - 934
EP - 943
JO - Annals of Neurology
JF - Annals of Neurology
IS - 6
ER -