Eric Van Buren

cellSTAAR integrates single-cell ATAC-seq with whole-genome sequencing to enhance power and interpretation of rare variant association tests in non-coding regions.

The paper introduces MultiSTAAR, a statistical framework for multi-trait rare variant analysis in WGS studies, identifying new lipid trait associations in diverse populations.

The paper analyzes inflammation biomarkers using whole-genome sequencing from the TOPMed consortium, identifying both single-variant and rare variant associations with inflammatory traits.

This study identifies genetic variants associated with sputum mucin concentrations and links one variant to COPD phenotypes like chronic bronchitis and acute exacerbations.

TWO-SIGMA-G tests gene sets in scRNA-seq data by accounting for gene and cell correlations, showing improved power and error control in simulations and real datasets.