The transcriptional landscape of age in human peripheral blood

Peters, Marjolein J., Joehanes, Roby, Pilling, Luke C., Schurmann, Claudia, Conneely, Karen N., Powell, Joseph, Reinmaa, Eva, Sutphin, George L., Zhernakova, Alexandra, Schramm, Katharina, Wilson, Yana A., Kobes, Sayuko, Tukiainen, Taru, Ramos, Yolande F., Goring, Harald H. H., Fornage, Myriam, Liu, Yongmei, Gharib, Sina A., Stranger, Barbara E., De Jager, Philip L., Aviv, Abraham, Levy, Daniel, Murabito, Joanne M., Munson, Peter J., Huan, Tianxiao, Hofman, Albert, Uitterlinden, Andre G., Rivadeneira, Fernando, Van Rooij, Jeroen, Stolk, Lisette, Broer, Linda, Verbiest, Michael M. P. J., Jhamai, Mila, Arp, Pascal, Metspalu, Andres, Tserel, Liina, Milani, Lili, Samani, Nilesh J., Peterson, Part, Kasela, Silva, Codd, Veryan, Peters, Annette, Ward-Caviness, Cavin K., Herder, Christian, Waldenberger, Melanie, Roden, Michael, Singmann, Paula, Zeilinger, Sonja, Illig, Thomas, Homuth, Georg, Grabe, Hans-Jorgen, Volzke, Henry, Steil, Leif, Kocher, Thomas, Murray, Anna, Melzer, David, Yaghootkar, Hanieh, Bandinelli, Stefania, Moses, Eric K., Kent, Jack W., Curran, Joanne E., Johnson, Matthew P., Williams-Blangero, Sarah, Westra, Harm-Jan, McRae, Allan F., Smith, Jennifer A., Kardia, Sharon L. R., Hovatta, Iiris, Perola, Markus, Ripatti, Samuli, Salomaa, Veikko, Henders, Anjali K., Martin, Nicholas G., Smith, Alicia K., Mehta, Divya, Binder, Elisabeth B., Nylocks, K. Maria, Kennedy, Elizabeth M., Klengel, Torsten, Ding, Jingzhong, Suchy-Dicey, Astrid M., Enquobahrie, Daniel A., Brody, Jennifer, Rotter, Jerome I., Chen, Yii-Der I., Houwing-Duistermaat, Jeanine, Kloppenburg, Margreet, Slagboom, P. Eline, Helmer, Quinta, Den Hollander, Wouter, Bean, Shannon, Raj, Towfique, Bakhshi, Noman, Wang, Qiao Ping, Oyston, Lisa J., Psaty, Bruce M., Tracy, Russell P., Montgomery, Grant W., Turner, Stephen T., Blangero, John, Meulenbelt, Ingrid, Ressler, Kerry J., Yang, Jian, Franke, Lude, Kettunen, Johannes, Visscher, Peter M., Neely, G. Gregory, Korstanje, Ron, Hanson, Robert L., Prokisch, Holger, Ferrucci, Luigi, Esko, Tonu, Teumer, Alexander, Van Meurs, Joyce B. J., Johnson, Andrew D., Nalls, Michael A., Hernandez, Dena G., Cookson, Mark R., Gibbs, Raphael J., Hardy, John, Ramasamy, Adaikalavan, Zonderman, Alan B., Dillman, Allissa, Traynor, Bryan, Smith, Colin, Longo, Dan L., Trabzuni, Daniah, Troncoso, Juan, Van Der Brug, Marcel, Weale, Michael E., O'Brien, Richard, Johnson, Robert, Walker, Robert, Zielke, Ronald H., Arepalli, Sampath, Ryten, Mina, Singleton, Andrew B. and NABEC/UKBEC Consortium (2015) The transcriptional landscape of age in human peripheral blood. Nature Communications, 6 8570.1-8570.14. doi:10.1038/ncomms9570


Author Peters, Marjolein J.
Joehanes, Roby
Pilling, Luke C.
Schurmann, Claudia
Conneely, Karen N.
Powell, Joseph
Reinmaa, Eva
Sutphin, George L.
Zhernakova, Alexandra
Schramm, Katharina
Wilson, Yana A.
Kobes, Sayuko
Tukiainen, Taru
Ramos, Yolande F.
Goring, Harald H. H.
Fornage, Myriam
Liu, Yongmei
Gharib, Sina A.
Stranger, Barbara E.
De Jager, Philip L.
Aviv, Abraham
Levy, Daniel
Murabito, Joanne M.
Munson, Peter J.
Huan, Tianxiao
Hofman, Albert
Uitterlinden, Andre G.
Rivadeneira, Fernando
Van Rooij, Jeroen
Stolk, Lisette
Broer, Linda
Verbiest, Michael M. P. J.
Jhamai, Mila
Arp, Pascal
Metspalu, Andres
Tserel, Liina
Milani, Lili
Samani, Nilesh J.
Peterson, Part
Kasela, Silva
Codd, Veryan
Peters, Annette
Ward-Caviness, Cavin K.
Herder, Christian
Waldenberger, Melanie
Roden, Michael
Singmann, Paula
Zeilinger, Sonja
Illig, Thomas
Homuth, Georg
Grabe, Hans-Jorgen
Volzke, Henry
Steil, Leif
Kocher, Thomas
Murray, Anna
Melzer, David
Yaghootkar, Hanieh
Bandinelli, Stefania
Moses, Eric K.
Kent, Jack W.
Curran, Joanne E.
Johnson, Matthew P.
Williams-Blangero, Sarah
Westra, Harm-Jan
McRae, Allan F.
Smith, Jennifer A.
Kardia, Sharon L. R.
Hovatta, Iiris
Perola, Markus
Ripatti, Samuli
Salomaa, Veikko
Henders, Anjali K.
Martin, Nicholas G.
Smith, Alicia K.
Mehta, Divya
Binder, Elisabeth B.
Nylocks, K. Maria
Kennedy, Elizabeth M.
Klengel, Torsten
Ding, Jingzhong
Suchy-Dicey, Astrid M.
Enquobahrie, Daniel A.
Brody, Jennifer
Rotter, Jerome I.
Chen, Yii-Der I.
Houwing-Duistermaat, Jeanine
Kloppenburg, Margreet
Slagboom, P. Eline
Helmer, Quinta
Den Hollander, Wouter
Bean, Shannon
Raj, Towfique
Bakhshi, Noman
Wang, Qiao Ping
Oyston, Lisa J.
Psaty, Bruce M.
Tracy, Russell P.
Montgomery, Grant W.
Turner, Stephen T.
Blangero, John
Meulenbelt, Ingrid
Ressler, Kerry J.
Yang, Jian
Franke, Lude
Kettunen, Johannes
Visscher, Peter M.
Neely, G. Gregory
Korstanje, Ron
Hanson, Robert L.
Prokisch, Holger
Ferrucci, Luigi
Esko, Tonu
Teumer, Alexander
Van Meurs, Joyce B. J.
Johnson, Andrew D.
Nalls, Michael A.
Hernandez, Dena G.
Cookson, Mark R.
Gibbs, Raphael J.
Hardy, John
Ramasamy, Adaikalavan
Zonderman, Alan B.
Dillman, Allissa
Traynor, Bryan
Smith, Colin
Longo, Dan L.
Trabzuni, Daniah
Troncoso, Juan
Van Der Brug, Marcel
Weale, Michael E.
O'Brien, Richard
Johnson, Robert
Walker, Robert
Zielke, Ronald H.
Arepalli, Sampath
Ryten, Mina
Singleton, Andrew B.
NABEC/UKBEC Consortium
Title The transcriptional landscape of age in human peripheral blood
Journal name Nature Communications   Check publisher's open access policy
ISSN 2041-1723
Publication date 2015-10-22
Sub-type Article (original research)
DOI 10.1038/ncomms9570
Open Access Status DOI
Volume 6
Start page 8570.1
End page 8570.14
Total pages 14
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2016
Language eng
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.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 24 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 28 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 10 Nov 2015, 10:27:52 EST by System User on behalf of Scholarly Communication and Digitisation Service