Stephen C. Lam

The paper identifies lung cancer susceptibility copy number variants (CNVs) and shows their potential role in genomic instability through association analyses and functional validation.

This study evaluates how respiratory tract sampling methods affect inferred microbiome structure and identifies bronchial brushing as yielding a distinct but low-biomass microbial signal.

ASPIRE processes and analyzes linked ASV-VOC data from respiratory microbiome studies to enable scalable comparative analysis and standardized file outputs.

The paper identifies genetic links between impaired pulmonary function and increased lung cancer risk, showing causal relationships through Mendelian randomization and highlighting immune-related pathways.