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Peters, M.J.* ; Joehanes, R.* ; Pilling, L.C.* ; Schurmann, C.* ; Conneely, K.N.* ; Powell, J.* ; Reinmaa, E.* ; Sutphin, G.L.* ; Zhernakova, A.* ; Schramm, K. ; Wilson, Y.A.* ; Kobes, S.* ; Tukiainen, T.* ; Ramos, Y.F.* ; Göring, H.H.H.* ; Fornage, M.* ; Liu, Y.* ; Gharib, S.A.* ; Stranger, B.E.* ; de Jager, P.L.* ; Aviv, A.* ; Levy, D.* ; Murabito, J.M.* ; Munson, P.J.* ; Huan, T.* ; Hofman, A.* ; Uitterlinden, A.G.* ; Rivadeneira, F.* ; van Rooij, J.* ; Stolk, L.* ; Broer, L.* ; Verbiest, M.M.P.J.* ; Jhamai, M.* ; Arp, P.* ; Metspalu, A.* ; Tserel, L.* ; Milani, L.* ; Samani, N.J.* ; Peterson, P.* ; Kasela, S.* ; Codd, V.* ; Peters, A. ; Ward-Caviness, C.K. ; Herder, C.* ; Waldenberger, M. ; Roden, M.* ; Singmann, P. ; Zeilinger, S. ; Illig, T.* ; Homuth, G.* ; Grabe, H.J.* ; Völzke, H.* ; Steil, L.* ; Kocher, T.* ; Martin, N.G.* ; Smith, A.K.* ; Mehta, D.* ; Binder, E.B.* ; Nylocks, K.M.* ; Kennedy, E.M.* ; Klengel, T.* ; Ding, J.* ; Suchy-Dicey, A.* ; Enquobahrie, D.A.* ; Houwing-Duistermaat, J.J.* ; Slagboom, P.E.* ; Helmer, Q.* ; den Hollander, W.* ; Raj, T.* ; Oyston, L.J.* ; Turner, S.T.* ; Blangero, J.* ; Brody, J.* ; Rotter, J.I.* ; Chen, Y.D.* ; Kloppenburg, M.* ; Bean, S.* ; Bakhshi, N.* ; Wang, Q.P.* ; Psaty, B.M.* ; Tracy, R.P.* ; Montgomery, G.W.* ; Meulenbelt, I.* ; Ressler, K.J.* ; Yang, J.* ; Franke, L.* ; Kettunen, J.* ; Visscher, P.M.* ; Neely, G.G.* ; Korstanje, R.* ; Hanson, R.L.* ; Prokisch, H. ; Ferrucci, L.* ; Esko, T.* ; Teumer, A.* ; van Meurs, J.B.* ; Johnson, A.D.*

The transcriptional landscape of age in human peripheral blood.

Nat. Commun. 6:8570 (2015)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Disease incidences increase with age, but the molecular characteristics of ageing that lead to increased disease susceptibility remain inadequately understood. Here we perform a whole-blood gene expression meta-analysis in 14,983 individuals of European ancestry (including replication) and identify 1,497 genes that are differentially expressed with chronological age. The age-associated genes do not harbor more age-associated CpG-methylation sites than other genes, but are instead enriched for the presence of potentially functional CpG-methylation sites in enhancer and insulator regions that associate with both chronological age and gene expression levels. We further used the gene expression profiles to calculate the 'transcriptomic age' of an individual, and show that differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index. The transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models, and can be used by others to calculate transcriptomic age in external cohorts.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 6, Heft: , Seiten: , Artikelnummer: 8570 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology II (EPI2)
Institute of Human Genetics (IHG)