Chunlin Li

This paper introduces two new variance-based causal measures and a mixed-effects estimation procedure to accurately quantify weak mediation effects in high-dimensional omics data.

The paper introduces an R2 total mediation effect measure for binary traits in case-control studies with high-dimensional mediators, showing 89% of BMI's effect on CHD is mediated by metabolomics.

The paper infers a directed acyclic graph of phenotypes from GWAS summary statistics and applies it to cardiovascular proteins linked to Alzheimer's disease.

The paper introduces a cross-fitted estimation procedure for R2-based mediation effects in high-dimensional mediators, showing improved computational efficiency while maintaining statistical accuracy.