Katherine M. Siewert

This paper introduces TCSC, a method to identify tissue-specific disease contributions by distinguishing causal tissues from tagging tissues using GWAS and gene expression data.

The paper introduces GCSC regression to identify gene sets enriched for disease heritability by leveraging gene co-regulation in TWAS data, finding immune-related associations in Alzheimer's disease.

The paper develops a method to identify population-specific causal effect sizes in functionally important regions using trans-ethnic genetic correlations.

This study identifies pleiotropic genetic loci shared between Alzheimer's disease and cardiometabolic traits using bivariate GWAS and colocalization analysis.

This study uses Mendelian randomization to assess the causal relationship between plasma lipid levels and breast cancer risk, finding that higher HDL levels are associated with increased breast cancer risk.

This study performs a bivariate GWAS to identify novel genetic loci associated with both lipid levels and coronary artery disease, finding six new variants with genome-wide significance.