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. 2023 Apr 17;29(4):950–962. doi: 10.1038/s41591-023-02268-w

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© The Author(s) 2023

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a–c, Genetic correlation using LD-score regression of extensive PVS burden with putative risk factors (a), neurological diseases (b) and other MRI markers of brain aging (c); two-sided exact P values are provided for nominally significant results (*P < 0.05) and significant results after multiple-testing correction (**P < 7.9 × 10⁻⁴, correcting for 21 independent phenotypes and the three PVS locations); full results are provided in Supplementary Table 9. Larger colored squares correspond to more significant P values and the colors represent the direction of the genetic correlation (positive in red, negative in blue). HDL, high-density lipoprotein; amygdala, accumbens (nucleus), caudate (nucleus), pallidum, and putamen correspond to the volumes of these subcortical structures.