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Data availability
Data used in the CAA and AD risk analyses are available upon application to: dbGaP (https://www.ncbi.nlm.nih.gov/gap/), NIAGADS (https://www.niagads.org/), LONI (https://ida.loni.usc.edu/), AMP-AD knowledge portal/Synapse (https://www.synapse.org/), Rush (https://www.radc.rush.edu/), NACC (https://naccdata.org/), UKB (https://www.ukbiobank.ac.uk/) and MCSA (https://www.mayo.edu/research/centers-programs/alzheimers-disease-research-center/data-requests). The specific data repositories and identifiers for ADGC and ADSP data are indicated in Supplementary Table 1. Microglia eQTL datasets are available from: ref. 10—AMP-AD knowledge portal/Synapse (https://www.synapse.org/; identifier: syn52335732); ref. 11—AMP-AD knowledge portal/Synapse (https://www.synapse.org/; identifier: syn26207321).
Code availability
All presented analyses made use of standard functionalities available in R v4.2.1 (libraries: ‘plor’, ‘coloc’ and ‘locuscomparer’) and BOLT-LMM v2.3.6. Codes are available at https://github.com/Belloy-Lab/APOE_microglia_CAA. Processing of genetic and phenotypic data is described in refs. 13,14.
References
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Acknowledgements
This study was funded by the NIH (R00AG075238 to M.E.B., AG060747 and AG047366 to M.D.G. and AG006786 to J.G.-R.). Data for this study were prepared, archived and distributed by the National Institute on Aging Alzheimer’s Disease Data Storage Site at the University of Pennsylvania (U24-AG041689), funded by the National Institute on Aging. The contents of this study do not represent the views of the National Institutes of Health, the U.S. Department of Veterans Affairs or the United States Government. Additional data-specific acknowledgements are provided in the Supplementary Note.
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M.E.B. and M.D.G. had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. M.E.B. performed data acquisition and analyses, designed analyses and study, wrote paper and obtained funding. J.G.-R. was involved in data, funding and resource acquisition. M.D.G. designed the study and analyses, supervised work and obtained funding. All authors contributed to the critical revision of the manuscript.
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Extended data
Extended Data Fig. 1 The rs2288911 and rs7247551 variants are microglial expression quantitative trait loci for APOE, not APOC2.
The locus comparison (left) and locus zoom (right) plots indicate that the two SNPs are microglia eQTLs for APOE and APOC2 in two independent datasets: (a) ref. 10 (n = 424) and (b) ref. 11 (n = 400). Color coding of variants/dots indicates LD (R2) with rs2288911, marked by purple diamonds. rs2288911 was identified in ref. 10 as the lead microglia-specific eQTL for APOE and is in strong LD with rs7247551 identified by ref. 4 (R2 = 0.98), who related its effect to APOC2 and local methylation. rs2288911 shows only a nominal association with microglial APOC2 expression in (a) and none in (b), indicating it is not an eQTL for APOC2. Conversely, it is strongly associated with APOE expression in both datasets with consistent beta coefficients that suggest close to 30% reduced microglia APOE expression for a single T allele. eQTL, expression quantitative trait locus; LD, linkage disequilibrium; PP4, colocalization poster probability for hypothesis 4: association with both traits and a shared variant.
Supplementary information
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Supplementary Figs. 1 and 2, Supplementary Table 1 and Supplementary Note (data acknowledgements).
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Belloy, M.E., Graff-Radford, J. & Greicius, M.D. A quantitative trait locus for reduced microglial APOE expression associates with reduced cerebral amyloid angiopathy. Nat Genet 58, 271–272 (2026). https://doi.org/10.1038/s41588-025-02472-z
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DOI: https://doi.org/10.1038/s41588-025-02472-z