Show simple item record

dc.contributor.author
Liu, Yuanlong
dc.contributor.author
Brossard, Myriam
dc.contributor.author
Sarnowski, Chloé
dc.contributor.author
Vaysse, Amaury
dc.contributor.author
Moffatt, Miriam
dc.contributor.author
Margaritte-Jeannin, Patricia
dc.contributor.author
Llinares-López, Felipe
dc.contributor.author
Dizier, Marie-Helene
dc.contributor.author
Lathrop, Mark
dc.contributor.author
Cookson, William
dc.contributor.author
Bouzigon, Emmanuelle
dc.contributor.author
Demenais, Florence
dc.date.accessioned
2017-12-05T11:47:53Z
dc.date.available
2017-10-06T05:29:14Z
dc.date.available
2017-10-12T11:37:30Z
dc.date.available
2017-10-12T11:47:34Z
dc.date.available
2017-12-05T11:47:53Z
dc.date.issued
2017
dc.identifier.issn
2045-2322
dc.identifier.other
10.1038/s41598-017-01058-y
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/192726
dc.identifier.doi
10.3929/ethz-b-000192726
dc.description.abstract
The number of genetic factors associated with asthma remains limited. To identify new genes with an undetected individual effect but collectively influencing asthma risk, we conducted a network-assisted analysis that integrates outcomes of genome-wide association studies (GWAS) and protein-protein interaction networks. We used two GWAS datasets, each consisting of the results of a meta-analysis of nine childhood-onset asthma GWASs (5,924 and 6,043 subjects, respectively). We developed a novel method to compute gene-level P-values (fastCGP), and proposed a parallel dense-module search and cross-selection strategy to identify an asthma-associated gene module. We identified a module of 91 genes with a significant joint effect on childhood-onset asthma (P < 10−5). This module contained a core subnetwork including genes at known asthma loci and five peripheral subnetworks including relevant candidates. Notably, the core genes were connected to APP (encoding amyloid beta precursor protein), a major player in Alzheimer’s disease that is known to have immune and inflammatory components. Functional analysis of the module genes revealed four gene clusters involved in innate and adaptive immunity, chemotaxis, cell-adhesion and transcription regulation, which are biologically meaningful processes that may underlie asthma risk. Our findings provide important clues for future research into asthma aetiology.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-04-20
ethz.journal.title
Scientific Reports
ethz.journal.volume
7
en_US
ethz.journal.abbreviated
Sci Rep
ethz.pages.start
938
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-10-06T05:29:15Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-10-12T11:37:33Z
ethz.rosetta.lastUpdated
2020-02-15T10:05:57Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.atitle=Network-assisted%20analysis%20of%20GWAS%20data%20identifies%20a%20functionally-relevant%20gene%20module%20for%20childhood-onset%20asthma&amp;rft.jtitle=Scientific%20Reports&amp;rft.date=2017&amp;rft.volume=7&amp;rft.spage=938&amp;rft.issn=2045-2322&amp;rft.au=Liu,%20Yuanlong&amp;Brossard,%20Myriam&amp;Sarnowski,%20Chlo%C3%A9&amp;Vaysse,%20Amaury&amp;Moffatt,%20Miriam&amp;rft.genre=article&amp;
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record