W. Henry Boom

The paper identifies distinct antibody-based signatures and functionalities in latent and active pediatric tuberculosis, highlighting differences in humoral immune responses that may inform diagnostic and therapeutic strategies.

The paper integrates multi-omic data to identify latent factors associated with resistance to TB conversion, revealing pathways related to multicellular structure and cell-cell interactions.

The paper identifies epigenetic methylation differences in lipid and cholesterol pathways associated with resistance to TST/IGRA conversion after Mtb exposure.

kimma is an R package for linear mixed effects modeling of RNA-seq data, offering improved sensitivity and model complexity compared to existing pipelines.

This paper identifies genetic variants and eQTLs associated with TB severity, linking them to vascular biology and inflammation, using GWAS and eQTL analyses in TB patients.