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New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries.
Nat. Genet. 51, 481-493 (2019)
Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent populations. Furthermore, the combined effect of these variants showed generalizability across smokers and never smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function-associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genome-wide Association; Loci; Gwas; Heritability; Variants; Copd
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
1061-4036
e-ISSN
1546-1718
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 51,
Heft: 3,
Seiten: 481-493
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Nature Publishing Group
Verlagsort
New York, NY
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
Institute of Translational Genomics (ITG)
POF Topic(s)
30202 - Environmental Health
30205 - Bioengineering and Digital Health
80000 - German Center for Lung Research
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-009
G-504091-004
G-506700-001
G-501800-401
Förderungen
Copyright
Erfassungsdatum
2019-03-19