Cluster analysis of transcriptomic datasets to identify endotypes of idiopathic pulmonary fibrosis
Abstract
Considerable clinical heterogeneity in idiopathic pulmonary fibrosis (IPF) suggests the existence of multiple disease endotypes. Identifying these endotypes would improve our understanding of the pathogenesis of IPF and could allow for a biomarker-driven personalised medicine approach. We aimed to identify clinically distinct groups of patients with IPF that could represent distinct disease endotypes.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 09, 2022
- Source ID
- 10.1136/thoraxjnl-2021-218563
Entities
People
- Adam R Taylor
- Astrid J Yeo
- David A Schwartz
- Gisli Jenkins
- Imre Noth
- Ivana V. Yang
- John E McDonough
- Louise V. Wain
- Luke M Kraven
- Marco Mura
- Philip L Molyneaux
- Shwu Fan Ma
- Toby M Maher
- William A Fahy
- Yong Huang
Organizations
- British Lung Foundation
- Medical Research Council
- National Heart, Lung, and Blood Institute
- National Institute for Health and Care Research
- United States Department of Defense