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Meta-analysis of exome array data identifies six novel genetic loci for lung function.

TitleMeta-analysis of exome array data identifies six novel genetic loci for lung function.
Publication TypeJournal Article
Year of Publication2018
AuthorsJackson VE, Latourelle JC, Wain LV, et al.
Secondary AuthorsLondon SJ
Corporate AuthorsUnderstanding Society Scientific Group
JournalWellcome Open Res
Volume3
Pagination4
Date Published2018
ISSN2398-502X
Abstract

Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV ), forced vital capacity (FVC) and the ratio of FEV to FVC (FEV /FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. We identified significant (P

DOI10.12688/wellcomeopenres.12583.3
Alternate JournalWellcome Open Res
PubMed ID30175238
PubMed Central IDPMC6081985
Grant ListMC_UU_00007/10 / MRC_ / Medical Research Council / United Kingdom
MR/K026992/1 / MRC_ / Medical Research Council / United Kingdom
R01 HL105756 / HL / NHLBI NIH HHS / United States
BB/F019394/1 / BB_ / Biotechnology and Biological Sciences Research Council / United Kingdom
MR/N011317/1 / MRC_ / Medical Research Council / United Kingdom
U01 HL130114 / HL / NHLBI NIH HHS / United States