The transcriptional landscape of age in human peripheral blood

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dc.contributor University of Helsinki, Institute for Molecular Medicine Finland en
dc.contributor University of Helsinki, Biosciences en
dc.contributor University of Helsinki, Institute for Molecular Medicine Finland en
dc.contributor University of Helsinki, Clinicum en
dc.contributor University of Helsinki, Institute for Molecular Medicine Finland en
dc.contributor.author Peters, Marjolein J.
dc.contributor.author Joehanes, Roby
dc.contributor.author Pilling, Luke C.
dc.contributor.author Schurmann, Claudia
dc.contributor.author Conneely, Karen N.
dc.contributor.author Powell, Joseph
dc.contributor.author Reinmaa, Eva
dc.contributor.author Sutphin, George L.
dc.contributor.author Zhernakova, Alexandra
dc.contributor.author Schramm, Katharina
dc.contributor.author Wilson, Yana A.
dc.contributor.author Kobes, Sayuko
dc.contributor.author Tukiainen, Taru
dc.contributor.author Ramos, Yolande F.
dc.contributor.author Goering, Harald H. H.
dc.contributor.author Fornage, Myriam
dc.contributor.author Liu, Yongmei
dc.contributor.author Gharib, Sina A.
dc.contributor.author Stranger, Barbara E.
dc.contributor.author De Jager, Philip L.
dc.contributor.author Aviv, Abraham
dc.contributor.author Levy, Daniel
dc.contributor.author Murabito, Joanne M.
dc.contributor.author Munson, Peter J.
dc.contributor.author Huan, Tianxiao
dc.contributor.author Hofman, Albert
dc.contributor.author Uitterlinden, Andre G.
dc.contributor.author Rivadeneira, Fernando
dc.contributor.author van Rooij, Jeroen
dc.contributor.author Stolk, Lisette
dc.contributor.author Broer, Linda
dc.contributor.author Verbiest, Michael M. P. J.
dc.contributor.author Jhamai, Mila
dc.contributor.author Arp, Pascal
dc.contributor.author Metspalu, Andres
dc.contributor.author Tserel, Liina
dc.contributor.author Milani, Lili
dc.contributor.author Samani, Nilesh J.
dc.contributor.author Peterson, Paert
dc.contributor.author Kasela, Silva
dc.contributor.author Codd, Veryan
dc.contributor.author Peters, Annette
dc.contributor.author Ward-Caviness, Cavin K.
dc.contributor.author Herder, Christian
dc.contributor.author Waldenberger, Melanie
dc.contributor.author Roden, Michael
dc.contributor.author Hovatta, Iiris
dc.contributor.author Perola, Markus
dc.contributor.author Ripatti, Samuli
dc.contributor.author Kettunen, Johannes
dc.contributor.author NABEC UKBEC Consortium
dc.date.accessioned 2016-08-05T09:54:28Z
dc.date.available 2016-08-05T09:54:28Z
dc.date.issued 2015-10
dc.identifier.citation 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 , Goering , 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 , Hovatta , I , Perola , M , Ripatti , S , Kettunen , J & NABEC UKBEC Consortium 2015 , ' The transcriptional landscape of age in human peripheral blood ' , Nature Communications , vol. 6 , 8570 . https://doi.org/10.1038/ncomms9570 en
dc.identifier.issn 2041-1723
dc.identifier.other PURE: 57408881
dc.identifier.other PURE UUID: bbf3aaca-5da8-4ed7-adec-e85a393ea86f
dc.identifier.other WOS: 000364932600017
dc.identifier.other Scopus: 84945143930
dc.identifier.other ORCID: /0000-0002-5990-7892/work/29532306
dc.identifier.uri http://hdl.handle.net/10138/165270
dc.description.abstract 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. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Nature Communications
dc.rights en
dc.subject 3111 Biomedicine en
dc.title The transcriptional landscape of age in human peripheral blood en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1038/ncomms9570
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/publishedVersion
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