Peter A. W. Rogers

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

Deconvolution of bulk endometrial tissue identifies cell type proportions and expression signatures associated with endometrial function and disease

The paper uses deconvolution on bulk RNA-seq data to identify cell type proportions and expression signatures linked to endometrial function and disease in women with and without endometriosis.

Global Endometrial DNA Multi-omics Analysis Reveals Insights into mQTL Regulation and Associated Endometriosis Disease Risk

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.