Juan Pablo Lewinger

Pathway Polygenic Risk Scores (pPRS) for the Analysis of Gene-environment Interaction

The paper introduces pathway-based polygenic risk scores (pPRS) to detect gene-environment interactions, finding a significant interaction between NSAIDs and the TGF-β/GRHR pathway in colorectal cancer.

A Regularized Cox Hierarchical Model for Incorporating Annotation Information in Predictive Omic Studies

The paper introduces a regularized hierarchical Cox model that integrates meta-features to improve prediction and feature selection for time-to-event outcomes in omic studies.

Improved two-step testing of genome-wide gene-environment interactions

The paper improves two-step tests for gene-environment interactions by addressing displacement issues and multiple testing, showing increased power in simulations and a GxSex interaction in colorectal cancer.

Incorporating Prior Knowledge into Regularized Regression

The paper introduces a penalized regression method that integrates external meta-features a-priori to improve prediction and interpretation in genomic studies.