Nature Communications (Nov 2022)
Discerning asthma endotypes through comorbidity mapping
- Gengjie Jia,
- Xue Zhong,
- Hae Kyung Im,
- Nathan Schoettler,
- Milton Pividori,
- D. Kyle Hogarth,
- Anne I. Sperling,
- Steven R. White,
- Edward T. Naureckas,
- Christopher S. Lyttle,
- Chikashi Terao,
- Yoichiro Kamatani,
- Masato Akiyama,
- Koichi Matsuda,
- Michiaki Kubo,
- Nancy J. Cox,
- Carole Ober,
- Andrey Rzhetsky,
- Julian Solway
Affiliations
- Gengjie Jia
- Department of Medicine, University of Chicago
- Xue Zhong
- Department of Medicine and Vanderbilt Genetics Institute, Vanderbilt University Medical Center
- Hae Kyung Im
- Department of Medicine, University of Chicago
- Nathan Schoettler
- Department of Medicine, University of Chicago
- Milton Pividori
- Department of Medicine, University of Chicago
- D. Kyle Hogarth
- Department of Medicine, University of Chicago
- Anne I. Sperling
- Department of Medicine, University of Chicago
- Steven R. White
- Department of Medicine, University of Chicago
- Edward T. Naureckas
- Department of Medicine, University of Chicago
- Christopher S. Lyttle
- Department of Medicine, University of Chicago
- Chikashi Terao
- RIKEN Center for Integrative Medical Sciences
- Yoichiro Kamatani
- RIKEN Center for Integrative Medical Sciences
- Masato Akiyama
- RIKEN Center for Integrative Medical Sciences
- Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo
- Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences
- Nancy J. Cox
- Department of Medicine and Vanderbilt Genetics Institute, Vanderbilt University Medical Center
- Carole Ober
- Department of Human Genetics, University of Chicago
- Andrey Rzhetsky
- Department of Medicine, University of Chicago
- Julian Solway
- Department of Medicine, University of Chicago
- DOI
- https://doi.org/10.1038/s41467-022-33628-8
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 19
Abstract
Asthma is a heterogeneous, complex syndrome that arises in individuals with various genetic and exposure variations. Here, the authors show that disease comorbidity patterns can serve as a surrogate for these variations, and identify asthma endotypes distinguished by comorbidity patterns, asthma risk loci, gene expression, and health-related phenotypes.
