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. 2024 Oct 8;56(11):2407–2421. doi: 10.1038/s41588-024-01939-9

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Extended Data Fig. 3 — For each of the data sources (NACC n = 5,927, ROSMAP n = 1,172 and ACT n = 677), we re-analyzed the association between CAA and lead variant rs7247551 from the meta-analysis while stratifying by APOE ϵ diplotype and visually compared effect sizes across groups. Due to low sample sizes preventing model convergence, APOE ϵ4 carriers (diplotypes ϵ2/ϵ4, ϵ3/ϵ4, ϵ4/ϵ4) were merged in analyses for ROSMAP and ACT. Points along the x-axis represent the estimated odds ratios, and error bars indicate 95% CI. Results demonstrate a consistent pattern of association between rs7247551 and CAA within each of the data sources used in our study.