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Brown, A.A.* ; Fernandez-Tajes, J.J.* ; Hong, M.G.* ; Brorsson, C.A.* ; Koivula, R.W.* ; Davtian, D.* ; Dupuis, T.* ; Sartori, A.* ; Michalettou, T.D.* ; Forgie, I.M.* ; Adam, J. ; Allin, K.H.* ; Caiazzo, R.* ; Cederberg, H.* ; De Masi, F.* ; Elders, P.J.M.* ; Giordano, G.N.* ; Haid, M. ; Hansen, T.* ; Hansen, T.H.* ; Hattersley, A.T.* ; Heggie, A.J.* ; Howald, C.* ; Jones, A.G.* ; Kokkola, T.* ; Laakso, M.* ; Mahajan, A.* ; Mari, A.* ; McDonald, T.J.* ; McEvoy, D.* ; Mourby, M.* ; Musholt, P.B.* ; Nilsson, B.* ; Pattou, F.* ; Penet, D.* ; Raverdy, V.* ; Ridderstråle, M.* ; Romano, L.* ; Rutters, F.* ; Sharma, S. ; Teare, H.* ; 't Hart, L.* ; Tsirigos, K.D.* ; Vangipurapu, J.* ; Vestergaard, H.* ; Brunak, S.* ; Franks, P.W.* ; Frost, G.* ; Grallert, H. ; Jablonka, B.* ; McCarthy, M.I.* ; Pavo, I.* ; Pedersen, O.* ; Ruetten, H.* ; Walker, M.* ; Adamski, J. ; Schwenk, J.M.* ; Pearson, E.R.* ; Dermitzakis, E.T.* ; Viñuela, A.* ; DIRECT Consortium (Thorand, B. ; Fritsche, A. ; Artati, A. ; Prehn, C.)

Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.

Nat. Commun. 14:5062 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Multi-omics; Variants; Disease; Associations; Expression; Discovery; Thousands; Tissues; Models; Mapper
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 14, Heft: 1, Seiten: , Artikelnummer: 5062 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
CF Metabolomics & Proteomics (CF-MPC)
Institute of Experimental Genetics (IEG)
Institute of Diabetes Research and Metabolic Diseases (IDM)
POF Topic(s) 30202 - Environmental Health
30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
Enabling and Novel Technologies
Helmholtz Diabetes Center
PSP-Element(e) G-504091-004
A-630710-001
G-504091-002
G-500600-001
G-504000-002
G-502400-001
Förderungen European Union
Innovative Medicines Initiative Joint Undertaking
DOI 10.1038/s41467-023-40569-3
WOS ID 001053537800021
WOS ID 001126372700001
Scopus ID 85168454423
PubMed ID 37604891
Erfassungsdatum 2023-10-06
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