Westerman et al used WGCNA and Comb-p algorithm to calculate methylation regions and modules of cardiovascular diseases, and found out that methylation of SLC9A1, SLC1A5, and TNRC6C were closely related to the risk of cardiovascular diseases.[8] However, the construction of a methylation co-expression network based on methylation sites mostly will lead to excessive network density and reduce the accuracy of module division. Here, TNRC6C is linked to cardiovascular disorder.