Sally Mortlock

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.

The paper characterizes human endometrial stem/progenitor cells using scRNA-seq, identifying key markers and signaling pathways involved in their function and interactions.

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.

This study identifies M2 macrophages and IL1 signaling as key mediators of endometriosis risk and shows their pleiotropic role in comorbid traits.

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

This study identifies genetic heterogeneity in ulcerative colitis by analyzing genome-wide associations in mild and severe cases, finding distinct risk variants and a genetic risk score with no difference between mild and severe disease.

This study shows that host genetics significantly influences murine skin microbiota composition during homeostasis and wound healing, with genetic background explaining most variation in microbiota and healing speed.

scSplit demultiplexes pooled single-cell RNA-Seq samples using genetic differences inferred from the data, showing high accuracy and consistency with known truths.

This study identifies 13 novel genetic loci associated with endometriosis through a large GWAS meta-analysis and finds genetic links to other pain-related conditions.