Yaowu Liu

The paper introduces a framework for detecting noncoding rare variant associations using whole-genome sequencing data, applying it to lipid traits in the TOPMed program.

The paper introduces MACIE, a framework for predicting functional variants by integrating diverse annotations, and applies it to fine-mapping using GWAS data.

APEX is a toolkit for molecular QTL mapping and meta-analysis that improves scalability and accuracy for large datasets and summary statistics.

The paper introduces SCANG, a dynamic scan statistic method for detecting rare-variant association regions in WGS data without pre-specifying window sizes, showing improved performance over existing methods.

ACAT improves power for rare-variant analysis by combining p-values using two tests, ACAT-V and ACAT-O, showing robustness and higher power than existing methods.