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author Peters, M.
Joehanes, R.
Pilling, L.
Schurmann, C.
Conneely, K.
Powell, J.
Reinmaa, E.
Sutphin, G.
Zhernakova, A.
Schramm, K.
Wilson, Y.
Kobes, S.
Tukiainen, T.
Ramos, Y.
Göring, H.
Fornage, M.
Liu, Y.
Gharib, S.
Stranger, B.
De Jager, P.
Aviv, A.
Levy, D.
Murabito, J.
Munson, P.
Huan, T.
Hofman, A.
Uitterlinden, A.
Rivadeneira, F.
Van Rooij, J.
Stolk, L.
Broer, L.
Verbiest, M.
Jhamai, M.
Arp, P.
Metspalu, A.
Tserel, L.
Milani, L.
Samani, N.
Peterson, P.
Kasela, S.
Codd, V.
Peters, A.
Ward-Caviness, C.
Herder, C.
Waldenberger, M.
Roden, M.
Singmann, P.
Zeilinger, S.
Illig, T.
Homuth, G.
Grabe, H.
Völzke, H.
Steil, L.
Kocher, T.
Murray, A.
Melzer, D.
Yaghootkar, H.
Bandinelli, S.
Moses, Eric
Kent, J.
Curran, J.
Johnson, M.
Williams-Blangero, S.
Westra, H.
McRae, A.
Smith, J.
Kardia, S.
Hovatta, I.
Perola, M.
Ripatti, S.
Salomaa, V.
Henders, A.
author_facet Peters, M.
Joehanes, R.
Pilling, L.
Schurmann, C.
Conneely, K.
Powell, J.
Reinmaa, E.
Sutphin, G.
Zhernakova, A.
Schramm, K.
Wilson, Y.
Kobes, S.
Tukiainen, T.
Ramos, Y.
Göring, H.
Fornage, M.
Liu, Y.
Gharib, S.
Stranger, B.
De Jager, P.
Aviv, A.
Levy, D.
Murabito, J.
Munson, P.
Huan, T.
Hofman, A.
Uitterlinden, A.
Rivadeneira, F.
Van Rooij, J.
Stolk, L.
Broer, L.
Verbiest, M.
Jhamai, M.
Arp, P.
Metspalu, A.
Tserel, L.
Milani, L.
Samani, N.
Peterson, P.
Kasela, S.
Codd, V.
Peters, A.
Ward-Caviness, C.
Herder, C.
Waldenberger, M.
Roden, M.
Singmann, P.
Zeilinger, S.
Illig, T.
Homuth, G.
Grabe, H.
Völzke, H.
Steil, L.
Kocher, T.
Murray, A.
Melzer, D.
Yaghootkar, H.
Bandinelli, S.
Moses, Eric
Kent, J.
Curran, J.
Johnson, M.
Williams-Blangero, S.
Westra, H.
McRae, A.
Smith, J.
Kardia, S.
Hovatta, I.
Perola, M.
Ripatti, S.
Salomaa, V.
Henders, A.
author_sort Peters, M.
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T07:08:24Z
format Journal Article
id curtin-20.500.11937-14537
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:08:24Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-145372017-09-13T14:05:39Z The transcriptional landscape of age in human peripheral blood Peters, M. Joehanes, R. Pilling, L. Schurmann, C. Conneely, K. Powell, J. Reinmaa, E. Sutphin, G. Zhernakova, A. Schramm, K. Wilson, Y. Kobes, S. Tukiainen, T. Ramos, Y. Göring, H. Fornage, M. Liu, Y. Gharib, S. Stranger, B. De Jager, P. Aviv, A. Levy, D. Murabito, J. Munson, P. Huan, T. Hofman, A. Uitterlinden, A. Rivadeneira, F. Van Rooij, J. Stolk, L. Broer, L. Verbiest, M. Jhamai, M. Arp, P. Metspalu, A. Tserel, L. Milani, L. Samani, N. Peterson, P. Kasela, S. Codd, V. Peters, A. Ward-Caviness, C. Herder, C. Waldenberger, M. Roden, M. Singmann, P. Zeilinger, S. Illig, T. Homuth, G. Grabe, H. Völzke, H. Steil, L. Kocher, T. Murray, A. Melzer, D. Yaghootkar, H. Bandinelli, S. Moses, Eric Kent, J. Curran, J. Johnson, M. Williams-Blangero, S. Westra, H. McRae, A. Smith, J. Kardia, S. Hovatta, I. Perola, M. Ripatti, S. Salomaa, V. Henders, A. 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/14537 10.1038/ncomms9570 unknown
spellingShingle Peters, M.
Joehanes, R.
Pilling, L.
Schurmann, C.
Conneely, K.
Powell, J.
Reinmaa, E.
Sutphin, G.
Zhernakova, A.
Schramm, K.
Wilson, Y.
Kobes, S.
Tukiainen, T.
Ramos, Y.
Göring, H.
Fornage, M.
Liu, Y.
Gharib, S.
Stranger, B.
De Jager, P.
Aviv, A.
Levy, D.
Murabito, J.
Munson, P.
Huan, T.
Hofman, A.
Uitterlinden, A.
Rivadeneira, F.
Van Rooij, J.
Stolk, L.
Broer, L.
Verbiest, M.
Jhamai, M.
Arp, P.
Metspalu, A.
Tserel, L.
Milani, L.
Samani, N.
Peterson, P.
Kasela, S.
Codd, V.
Peters, A.
Ward-Caviness, C.
Herder, C.
Waldenberger, M.
Roden, M.
Singmann, P.
Zeilinger, S.
Illig, T.
Homuth, G.
Grabe, H.
Völzke, H.
Steil, L.
Kocher, T.
Murray, A.
Melzer, D.
Yaghootkar, H.
Bandinelli, S.
Moses, Eric
Kent, J.
Curran, J.
Johnson, M.
Williams-Blangero, S.
Westra, H.
McRae, A.
Smith, J.
Kardia, S.
Hovatta, I.
Perola, M.
Ripatti, S.
Salomaa, V.
Henders, A.
The transcriptional landscape of age in human peripheral blood
title The transcriptional landscape of age in human peripheral blood
title_full The transcriptional landscape of age in human peripheral blood
title_fullStr The transcriptional landscape of age in human peripheral blood
title_full_unstemmed The transcriptional landscape of age in human peripheral blood
title_short The transcriptional landscape of age in human peripheral blood
title_sort transcriptional landscape of age in human peripheral blood
url http://hdl.handle.net/20.500.11937/14537