Fig. 5: Network analysis using transcriptomic data from 313 human hearts reveals strong correlations between suggestive statistical epistasis contributors. | Nature Cardiovascular Research

Fig. 5: Network analysis using transcriptomic data from 313 human hearts reveals strong correlations between suggestive statistical epistasis contributors.

From: Epistasis regulates genetic control of cardiac hypertrophy

Fig. 5

a, Gene co-expression networks for control (blue) and heart failure (red) conditions were established using weighted gene co-expression network analysis (WGCNA) on transcriptomic data from 313 non-failing and failing human heart tissues47. b,c, The connectivity between lo-siRF-prioritized genes was assessed against the full connectivity distributions of all possible gene–gene combinations in the control (b) and heart failure (c) networks. CCDC141 showed a significant connectivity to SYNM and LYSMD4 (IGF1R lo-siRF locus) and TTN and FKBP7 (TTN lo-siRF locus) in the control network. The color scales indicate two-sided empirical P values. d, Comparing between the control and heart failure networks indicated a significant connectivity decrease of these gene pairs during heart failure progression. e, A Sanky plot showing the rewired gene modular assignments for the lo-siRF loci-associated genes (middle column) in the control versus heart failure networks. Module names47 in the control (left column) and heart failure (right column) networks were derived from KEGG and Reactome associations of genes within each module.

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