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. 2021 Jun 5;34(4):947–954. doi: 10.1007/s10534-021-00320-1

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© The Author(s) 2021

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/.

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Fig. 2 — Principal component analysis (PCA) that was used to classify Fmr1 KO and WT mice based on metal content of seven different metals in five tissues is shown with respect to PC1 and PC2. KO and WT mice segregated across PC2 (p = 0.031) that explained 35% of the total variance and correlated with heart variables. Variables are coded by colour with respect to tissue studied