Hello all,

it's my first time performing a consensus wgcna on a two datasets measuring two separate tissue samples, and i'm currently trying to identify the most significant module hub genes - in the 6 modules i've already identified as most associated with the trait. Currently, my cutoffs for hub genes is |MM|>0.8 and |GS| > 0.5, but from this i'm getting 52 hub genes for one tissue sample and over 500 for the other - there are only 14 consensus hub genes however. My question is, is it unnatural for one tissue dataset to have so many more hub genes than the other (more than 10x)? And do my cutoffs look normal?

Thanks!