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. 2021 Mar 11;11:5748. doi: 10.1038/s41598-021-85061-4

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© The Author(s) 2021

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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Overview of spinal cord co-expression network analysis. Flow diagram of analyses in this study. A co-expression network was generated using the GTEx cervical spinal cord expression data and Weighted Gene Co-Expression Network Analysis (WGCNA). Modules were annotated by their associated biological processes, hub genes, and cell-type identities. Modules were then assessed for their enrichment of ALS genetic risk factors and analyzed for differential expression in RNA-seq data from human ALS tissues and model system studies^12,13,22,23.