PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Suhre, K.* ; Arnold, M. ; Bhagwat, A.M.* ; Cotton, R.J.* ; Engelke, R.* ; Raffler, J. ; Sarwath, H.* ; Thareja, G.* ; Wahl, A. ; DeLisle, R.K.* ; Gold, L.* ; Pezer, M.* ; Lauc, G.* ; El-Din Selim, M.A.* ; Mook-Kanamori, D.O.* ; Al-Dous, E.K.* ; Mohamoud, Y.A.* ; Malek, J.A.* ; Strauch, K. ; Grallert, H. ; Peters, A. ; Kastenmüller, G. ; Gieger, C. ; Graumann, J.*

Connecting genetic risk to disease end points through the human blood plasma proteome.

Nat. Commun. 8:14357 (2017)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Genome-wide association studies (GWAS) with intermediate phenotypes, like changes in metabolite and protein levels, provide functional evidence to map disease associations and translate them into clinical applications. However, although hundreds of genetic variants have been associated with complex disorders, the underlying molecular pathways often remain elusive. Associations with intermediate traits are key in establishing functional links between GWAS-identified risk-variants and disease end points. Here we describe a GWAS using a highly multiplexed aptamer-based affinity proteomics platform. We quantify 539 associations between protein levels and gene variants (pQTLs) in a German cohort and replicate over half of them in an Arab and Asian cohort. Fifty-five of the replicated pQTLs are located in trans. Our associations overlap with 57 genetic risk loci for 42 unique disease end points. We integrate this information into a genome-proteome network and provide an interactive web-tool for interrogations. Our results provide a basis for novel approaches to pharmaceutical and diagnostic applications.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
12.124
2.995
173
258
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genome-wide; Alzheimers-disease; Rheumatoid-arthritis; Transcription Factor; Endothelial-cells; Human Metabolism; E-selectin; Identification; Variants; Association
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 8, Heft: , Seiten: , Artikelnummer: 14357 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
Institute of Bioinformatics and Systems Biology (IBIS)
POF Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
90000 - German Center for Diabetes Research
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Genetics and Epidemiology
Enabling and Novel Technologies
PSP-Element(e) G-504091-004
G-504100-001
G-504000-005
G-501900-402
G-503700-001
PubMed ID 28240269
DOI 10.1038/ncomms14357
WOS ID WOS:000394795300001
Scopus ID 85014061753
Erfassungsdatum 2017-03-17
[➜Korrektur melden]