Christopher J. Rhodes

The paper identifies BX-912 as a compound that rescues SOX17 gene targets and prevents pulmonary hypertension in mice.

Omada automates transcriptomic clustering by integrating machine learning, improving accessibility and robustness across diverse RNA expression datasets.

This paper classifies PAH-related genes based on evidence strength using a semi-quantitative scoring system, identifying twelve genes with definitive evidence and recommending their inclusion in genetic testing panels.

The paper identifies a gene co-expression module, the pink module, associated with PAH severity, genetic risk, vascular cell types, and therapeutic targets through multiomics integration.

This study identifies two new PAH risk genes, FBLN2 and PDGFD, through rare variant analysis of 4,241 PAH cases, with de novo variants contributing to ~15% of pediatric IPAH.

This study identifies KLF2-induced microRNAs that protect endothelial cells and reduce pulmonary hypertension in animal models and patient samples.

This study identifies common genetic variants associated with pulmonary arterial hypertension risk and survival, focusing on HLA-DPA1/DPB1 and a SOX17 enhancer locus.

This study identifies novel rare genetic variants associated with heritable pulmonary arterial hypertension through whole genome sequencing of cases and controls.

Telomerecat estimates telomere length from whole-genome sequencing data without requiring prior knowledge of ploidy, showing good performance and detecting expected patterns in various data types.