Integrative Omics to Characterize and Classify Pulmonary Vascular Disease

Clin Chest Med. 2021 Mar;42(1):195-205. doi: 10.1016/j.ccm.2020.10.001. Epub 2021 Jan 12.


Advances in high-throughput biotechnologies have facilitated omics profiling, a key component of precision phenotyping, in patients with pulmonary vascular disease. Omics provides comprehensive information pertaining to genes, transcripts, proteins, and metabolites. The resulting omics big datasets may be integrated for more robust results and are amenable to analysis using machine learning or newer analytical methodologies, such as network analysis. Results from fully integrated multi-omics datasets combined with clinical data are poised to provide novel insight into pulmonary vascular disease as well as diagnose the presence of disease and prognosticate outcomes.

Keywords: Genomics; Metabolomics; Network analysis; Precision medicine; Proteomics; Pulmonary hypertension; Transcriptomics.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Humans
  • Lung Diseases / classification
  • Lung Diseases / diagnosis*
  • Metabolomics / methods*
  • Proteomics / methods*
  • Vascular Diseases / classification
  • Vascular Diseases / diagnosis*