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. 2022 Jan 17;23:26. doi: 10.1186/s13059-021-02596-5

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© The Author(s) 2022

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 — Measured and epigenetic cognitive ability associate with brain structure and show regional overlap with cortical loci. Cognitive ability measures with global brain imaging associations in LBC1936 with 95% confidence intervals; measured g (turquoise triangle), Epigenetic Score (EpiScore; orange circle) (A). Results of cortical volume at age 73 years regressed against cognitive g EpiScore (orange), measured g (turquoise) and the spatial extent of overlap (pink) in cortical loci. Colours, representing q values, are superimposed on an average surface template. A false discovery rate threshold of 0.05 is used to control for multiple comparisons; results are corrected for sex, age in days at brain scanning and intracranial volume (n=551) (B)