Edyta Małolepsza

From a genomic risk model to clinical trial implementation in a learning health system: the ProGRESS Study

The paper develops a polygenic risk model for prostate cancer using VA data and validates it in external cohorts, showing its clinical utility in risk stratification.

Selection, optimization, and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse populations

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

Validation of a Trans-Ancestry Polygenic Risk Score for Type 2 Diabetes in Diverse Populations

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

Genome-wide polygenic score with APOL1 risk genotypes predicts chronic kidney disease across major continental ancestries

This paper develops a genome-wide polygenic score for chronic kidney disease that incorporates APOL1 risk genotypes and shows consistent performance across four major continental ancestries.

Genoppi: an open-source software for robust and standardized integration of proteomic and genetic data

Genoppi integrates proteomic and genetic data to identify cell-type-specific interactions and their role in disease.

Genoppi: a web application for interactive integration of experimental proteomics results with genetic datasets

Genoppi integrates proteomics and genetic datasets to identify biological relationships, offering a user-friendly web application for this purpose.