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. 2020 Nov 19;12:156. doi: 10.1186/s13195-020-00722-2

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Common variants that are significantly associated with neuroimaging features. For each signal, a circular Manhattan plot, quantile-quantile (Q-Q) plot, regional plot, regression plot with adjusted trait values, and voxel-based clustering analysis result are shown. a rs10848087 in PIWIL1 with cerebral Aβ deposition in global brain regions. b rs2722372 in NME8 with AD-Cm. c rs7523 in PSEN1 with AD-Ct. d rs4811697 in CASS4 with Hv