Noah J Lorincz‐Comi

This paper introduces TGVIS, a multivariable TWAS method that improves causal gene and variant prioritization by accounting for infinitesimal effects in GWAS data.

The paper uses a Bayesian model to identify shared genetic components across complex diseases, finding potential drug targets with lower side effects and repurposing opportunities.

HORNET identifies causal genes and their regulatory networks using eQTLs and GWAS data, showing differential gene expression causality in schizophrenia across brain tissues.

simmr is an open-source tool for simulating Mendelian Randomization scenarios to evaluate method performance across various practical situations.

MRBEE is a new multivariable Mendelian Randomization method that corrects measurement error bias and identifies horizontal pleiotropy, showing improved performance in simulations and real data analyses.