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. 2024 Jun 20;14(1):100. doi: 10.1038/s41408-024-01080-0

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© The Author(s) 2024

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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Fig. 2 — A Schematic representation of WGCNA analysis workflow, created with BioRender.com. B Cluster dendrogram showing the 15 identified modules defined by color. The gray module consists of genes that could not be assigned to a co-expression module. C Correlation of individual WGCNA modules with selected traits (COO of ABC or GCB, n = 279, DH-FISH n = 252, and EFS24, n = 321) was performed using Pearson correlation, *P < 0.05, **P < 0.001 and ***P < 0.0001. D Correlation network representation of greenyellow module genes (n = 37) analyzed using the igraph R package.