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. 2022 Sep 28;23(Suppl 3):398. doi: 10.1186/s12859-022-04947-w

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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 — Genes that are highly associated with brain volumes based on S-PrediXcan analysis. a Genes that are highly associated with TBV using the UKB GWAS summary statistics. b Common genes that are associated both with TBV using the UKB GWAS summary statistics and with ICV using the ENIGMA summary statistics. Entries marked with * are significant tissue-specific gene-phenotype associations (FDR < 0.05), where 13 GTEx brain tissues are plotted on the x axis