Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models-Reference-Cited by-同舟云学术

Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models

Published:2023-04-17 Issue:5 Volume:55 Page:787-795
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Cosentino Justin^ORCID,Behsaz Babak,Alipanahi Babak^ORCID,McCaw Zachary R.^ORCID,Hill Davin^ORCID,Schwantes-An Tae-Hwi,Lai Dongbing^ORCID,Carroll Andrew^ORCID,Hobbs Brian D.^ORCID,Cho Michael H.^ORCID,McLean Cory Y.^ORCID,Hormozdiari Farhad^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

https://www.nature.com/articles/s41588-023-01372-4.pdf

Reference47 articles.

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2. Ingebrigtsen, T. Genetic influences on chronic obstructive pulmonary disease—a twin study. Respir. Med. 104, 1890–1895 (2010).

3. Zhou, J. J. et al. Heritability of chronic obstructive pulmonary disease and related phenotypes in smokers. Am. J. Respir. Crit. Care Med. 188, 941–947 (2013).

4. Jørgen, V. et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 187, 347–365 (2013).

5. Brian, L. G. et al. Standardization of spirometry 2019 update. An official American Thoracic Society and European Respiratory Society technical statement. Am. J. Respir. Crit. Care Med. 200, e70–e88 (2019).

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