Extended Data Fig. 8: Quantitative analysis reveals a set of genes associated with Global Indicators of Dysfunction in Allografts. | Nature Medicine

Extended Data Fig. 8: Quantitative analysis reveals a set of genes associated with Global Indicators of Dysfunction in Allografts.

From: Decoding the hallmarks of allograft dysfunction with a comprehensive pan-organ transcriptomic atlas

Extended Data Fig. 8

A. Density plot of association statistics for global allograft dysfunction, and genes within the Banff Human Organ Transplant (BHOT) Nanostring panel are coloured in orange. B. Density plot of association statistics for global allograft dysfunction, and genes within the data-driven gene set panel are coloured in red. C. A 3D scatter plot of association statistics for delayed graft function (DGF), allograft rejection and fibrosis. Each point is a gene, coloured by p-value for its significance to be upregulated in each condition. D. Dot plot of a two-sided Wilcoxon-rank sum test for our data-driven gene set using the reactome database. Each dot represents one reactome pathway where p-values were adjusted for multiple comparisons using the benjamini-hochberg correction.

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