Prescott G. Woodruff

TorchGWAS2 improves genome-wide association testing in related samples by using a deterministic variance-correction algorithm, achieving faster and more powerful results across large-scale omics data.

This study identifies allergen-reactive Th2 cells in human airways using high-dimensional profiling and shows their systemic expansion following allergen challenge.

The paper analyzes expression and splicing quantitative trait loci (e/sQTL) across multiple tissues in the TOPMed dataset and finds that secondary e/sQTL signals are still discoverable, with many GWAS signals colocalizing with these e/sQTL.

The paper analyzes circulating metabolites using genome-wide association data from the TOPMed program, identifying 1,778 loci and highlighting sex-specific genetic contributions.

This paper shows IL-13 and IL-17A activate β1 integrins through an NF-κB/Rho kinase/PIP5K1γ pathway, enhancing force transmission in airway smooth muscle and linking this to asthma pathology.

This study shows that miR-15/16 in Tregs is essential for immune tolerance by restricting proliferation and maintaining suppressive function, preventing inflammation.

The paper develops an efficient method for gene targeting in human bronchial epithelial cells using direct delivery of sgRNA and rCas9, demonstrating its application in studying SPDEF's role in IL-13-induced mucostasis.

The paper identifies 279 new genetic signals for lung function across multiple ancestries, showing associations with COPD and pleiotropic effects.

This paper introduces ROP to identify the source of unmapped RNA-Seq reads across diverse tissues, showing it can account for 99.9% of 1 trillion reads and reveals immune and microbial correlations.

The paper compares small RNA composition across 12 human biofluids, finding large variations in miRNA and tDR levels and identifying Y RNA fragments in several biofluids.