Agata Wesolowska‐Andersen

A genome-wide CRISPR screen in human pancreatic beta cells identifies 580 genes influencing insulin content, supporting 20 candidate type 2 diabetes effector transcripts.

The paper uses deep learning models to predict regulatory variants in pancreatic islets and refines T2D association signals by integrating epigenomic data with genetic fine-mapping.

This paper introduces ROP to identify the source of unmapped RNA-Seq reads across diverse tissues, showing it can account for 99.9% of 1 trillion reads and reveals immune and microbial correlations.