Matthew R. Moll

This study uses polygenic risk scores and proteomic analysis to identify genetic and molecular associations with asthma in two family-based cohorts, highlighting IL1R1's role in asthma pathogenesis.

This study identifies independent associations between IPF risk and rare variants, the MUC5B SNP, and polygenic scores, showing that telomere-associated common variants improve disease prediction and explain genetic heterogeneity in IPF.

This paper improves genetic discovery and polygenic risk prediction for respiratory diseases by analyzing multiple traits and ancestries, identifying novel loci and developing a new polygenic risk score method.

The paper identifies DNA-methylation markers at birth and childhood associated with lung function and reveals sex- and genetics-related pathways linked to asthma and lung development.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

RITSS identifies gene-environment interactions in quantitative traits using sample splitting and robust statistics, finding significant interactions in lung function and height data.

This study investigates whether smoking modifies the effect of a polygenic risk score on reduced lung function, finding significant gene-by-smoking interactions in FEV1/FVC.