Fig. 2: Weighted gene correlation network analysis (WGCNA). | Molecular Psychiatry

Fig. 2: Weighted gene correlation network analysis (WGCNA).

From: DNA hypomethylation at specific CG-sites within TRAK1 is linked to the neurocognitive profile in Klinefelter syndrome

Fig. 2: Weighted gene correlation network analysis (WGCNA).

A WGCNA was performed on DNA methylation data from peripheral blood samples of individuals with KS (47,XXY) from cohort 1, to construct modules of CG-sites with similar methylation patterns and correlate these with neurocognitive traits. A Module-trait correlation plot. Color indicates correlation value, with negative correlations marked in green and positive correlations in orange. Numbers in each square indicate correlation values (top) and p-values (bottom, in parentheses). Only module-trait associations containing significant correlations are shown. The complete plot can be found in Supplementary fig. 1. B Module membership and trait significance. Scatterplot displaying the membership within the “white” module and significance for performance IQ (PIQ) for each CG-site within the “white” module. Dark points indicate X-chromosomal CG-sites whereas light points indicate autosomal CG-sites. Labels indicate UCSC gene name(s) for each CG-site, if available. Five CG-sites within the TRAK1 gene with high significance for PIQ are highlighted.

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