Air particulate multiomics improves functional annotation of SNPs associated with lung disease

We used nascent RNA run-on sequencing to characterize transcriptional responses of lung cells exposed to wood smoke particles, urban particulate matter, and Afghan dust particles.

These datasets provide the first characterization of the nascent transcriptional response to urban particulate matter in primary lung cells and reveal both shared and pollutant-specific regulatory dynamics. Integration with regulatory network inference and genetic association data enables prioritization of noncoding variants and candidate regulatory mechanisms linking environmental exposures to lung disease risk.