Tess Cherlin

The PMBB Geno-Pheno Toolkit provides modular pipelines for cross-biobank association analyses, supporting GWAS, ExWAS, and PheWAS with containerized workflows.

The paper evaluates proteomic and polygenic risk scores for disease prediction, finding proteomic scores outperform polygenic scores in most traits and show temporal responsiveness.

This study develops multi-ancestry polygenic risk scores for venous thromboembolism using diverse GWAS data and shows improved predictive performance across European- and African-ancestry populations.

The paper investigates the subcellular localization of miRNA isoforms, tRFs, and rRFs across three cell lines, revealing that their localization depends on sequence and cell type, and creates an atlas of their distribution.