Allan Lawrie

This study identifies KLF6 as a key driver of endothelial dysfunction in pulmonary arterial hypertension, showing its role in promoting vascular remodelling and angioproliferative lesions.

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.

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 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.