Per Eystein Lønning

The paper identifies a cellular network involving neutrophils and M2 macrophages in obese breast cancer patients that promotes tumor growth through bacterial LPS and S100A8.

The paper identifies prenatal BRCA1 epimutations as a cause of approximately 20% of triple-negative breast cancers and low-ER expression breast cancers.

The paper introduces epialleleR, an R/Bioconductor package for detecting low-level mosaic methylation events in NGS data, showing its performance on simulated and real datasets.

ramr identifies rare aberrantly methylated regions from methylation data, showing its utility in cancer and disease risk association.

The paper identifies two novel miRNAs, hsa-miR-nov3 and hsa-miR-nov7, overexpressed in breast cancer and correlates their expression with tumor subtypes and patient outcomes.

The paper identifies haplotypes and LD patterns in 80 genes that differ between breast cancer patients and controls, and finds negative correlations in LD patterns for some genes.