Jakob Woerner

Protein risk scores enable precise prediction of cardiovascular events in chronic kidney disease patients

This study develops a protein risk score model to predict cardiovascular events in CKD patients, showing better performance than clinical and polygenic risk models.

Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease prediction

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

Genome-Wide Assessment of Pleiotropy Across >1000 Traits from Global Biobanks

The paper identifies pleiotropic loci across 1,167 traits using GWAS meta-analysis and shows they are enriched for functional annotations and improve polygenic score predictions.

Cytometry Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper

The paper introduces cyMAE, a masked autoencoder for automated immunophenotyping, showing it improves accuracy and interpretability over manual methods in cytometry data analysis.

Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network

This study constructs an augmented disease network incorporating genetic correlations with endophenotypes to uncover genetic associations across diseases and biomarkers.