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The WGCNA R package was used for finding clusters modules of highly

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WGCNA to Identify traitrelated modules and genes A Calculating

WGCNA network and module detection A Scale Independence and mean

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WGCNA analysis to uncover the key pathogenic module A Sample

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WGCNA analysis of coexpression modules A Dendrogram of gene modules

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WGCNA is applied to analyze gene modules A Cluster dendrogram of the

WGCNA analysis A Genephenotype cluster B WGCNA module diagram

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WGCNA and module analysis A The result of WGCNA in the highrisk

WGCNA and key modules AB Cluster dendrogram and clustered modules

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WGCNA analysis on the consensus clustering samples A Samples above

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WGCNA and module analysis A Clustering dendrograms of all samples

WGCNA analysis identifying concerned modules A Determination of

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WGCNA analysis and module annotation A The soft threshold is set to

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Results of WGCNA and module preservation analysis A Dendrogram

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WGCNA and module analysis based on the training set of FHS A Modules

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Weighted gene coexpression network analysis We used the WGCNA

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