Baolin Wu

This paper introduces G-TOW, a statistical method for testing associations between optimally weighted combinations of common and rare variants and disease traits, showing improved power and accuracy over existing methods.

The paper introduces a statistical method to detect disease-associated genes using GWAS summary data, identifying novel genes related to beta-cell function and lipid traits.

The paper introduces a statistical test with sample size and power calculation for paired repeated measures designs in method comparison studies, showing good finite sample performance.

The paper develops a multi-trait association test method using GWAS summary statistics to identify genetic variants influencing multiple traits simultaneously, finding novel loci missed by single-trait analyses.