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. 2022 Dec 30;12:22613. doi: 10.1038/s41598-022-26495-2

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© The Author(s) 2022

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 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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WGCNA recognize and diagnose the ferroptosis related gene set. (a) After removing two samples with great differences according to stagger clustering, the tree view is displayed. (b) Construction of WGCNA gene module, the results suggest that there are 10 gene modules, which are represented by different colors, and gray represents the unclassified genes. (c) Build a scale-free network with five as the best soft threshold. (d) The correlation analysis between modules, red represents positive correlation and blue represents negative correlation. (e) The correlation analysis between modules and clinical features. Red represents positive correlation and blue represents negative correlation. Blue module (3788) is significantly positively correlated with DKD and negatively correlated with ferroptosis, while green module (3788), greenyellow module (114) and yellow module (1237) are just the opposite (p < 0.05 was considered statistically significant).