A multi-center study to improve understanding of pulmonary vascular disease through phenomics

Anna R. Hemnes, Gerald J. Beck, John H. Newman, Aiden Abidov, Micheala A. Aldred, John Barnard, Erika Berman Rosenzweig, Barry A. Borlaug, Wendy K. Chung, Suzy A.A. Comhair, Serpil C. Erzurum, Robert P. Frantz, Michael P. Gray, Gabriele Grunig, Paul M. Hassoun, Nicholas S. Hill, Evelyn M. Horn, Bo Hu, Jason K. Lempel, Bradley A. MaronStephen C. Mathai, Mitchell A. Olman, Franz P. Rischard, David M. Systrom, W. H.Wilson Tang, Aaron B. Waxman, Lei Xiao, Jason X.J. Yuan, Jane A. Leopold

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


The National Institutes of Health (NIH)/National Heart, Lung and Blood institute (NHLBI) launched an initiative, PVDOMICS (Redefining Pulmonary Hypertension through Pulmonary Vascular Disease Phenomics) that aims to augment the current pulmonary hypertension (PH) classification based on shared biological features. PVDOMICS will enroll 1500 participants with PH and disease and healthy comparators. Enrollees will undergo deep clinical phenotyping, and blood will be acquired for comprehensive omic analyses that will focus on discovery of molecular-based subtypes of pulmonary vascular disease (PVD) through application of high dimensional model-based clustering methods. In addition to an updated, molecular classification of PVD, the phenomic data generated will be a rich resource to the broad community of heart and lung disease investigators.

Original languageEnglish (US)
Pages (from-to)1136-1139
Number of pages4
JournalCirculation research
Issue number10
StatePublished - 2017


  • Blood Institute (U.S.)
  • Diagnosis
  • Hypertension
  • Lung
  • National Heart
  • National Institutes of Health (U.S.)
  • Pulmonary
  • Pulmonary artery

ASJC Scopus subject areas

  • Physiology
  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'A multi-center study to improve understanding of pulmonary vascular disease through phenomics'. Together they form a unique fingerprint.

Cite this