Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domains.

The effects may be significant and is visualised with the violin density plot, but is difficult to see using box plot. - Figure 2 - takes some time to understand upon first reading.

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To further assess the relevance of driver meQTLs to cancer risk, we used them to predict breast cancer status alongside clinical covariates using the approach described by Elgart et al . 18 We first performed feature selection by LASSO on nominally significant driver meQTLs and available clinical factors (age, ancestry as represented by the top 10 genotype-derived PCs); LASSO regularization removed ancestry and some meQTLs.

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