Abstract
Original language | Undefined/Unknown |
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Journal | Nature Communications |
Volume | 6 |
DOIs | |
Publication status | Published - 2015 |
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The transcriptional landscape of age in human peripheral blood. / Peters, Marjolein; Joehanes, R; Pilling, LC; Schurmann, C; Conneely, KN; Powell, J; Reinmaa, E; Sutphin, GL; Zhernakova, A; Schramm, K; Wilson, YA; Kobes, S; Tukiainen, T; Ramos, YF; Goring, HHH; Fornage, M; Liu, YM; Gharib, SA; Stranger, BE; De Jager, PL; Aviv, A; Levy, D; Murabito, JM; Munson, PJ; Huan, T; Hofman, Bert; Uitterlinden, André; Rivadeneira, Fernando; van Rooij, J; Stolk, Lisette; Broer, Linda; Verbiest, Michael; Jhamai, M; Arp, Pascal; Metspalu, A; Tserel, L; Milani, L; Samani, NJ; Peterson, P; Kasela, S; Codd, V; Peters, A; Ward-Caviness, CK; Herder, Cindy; Waldenberger, M; Roden, M; Singmann, P; Zeilinger, S; Illig, T; Homuth, G; Grabe, HJ; Voelzke, H; Steil, L; Kocher, T; Murray, A; Melzer, D; Yaghootkar, H; Bandinelli, S; Moses, EK; Kent, JW; Curran, JE; Johnson, MP; Williams-Blangero, S; Westra, HJ; Mcrae, AF; Smith, JA; Kardia, SLR; Hovatta, I; Perola, M; Ripatti, S; Salomaa, V; Henders, AK; Martin, NG; Smith, AK; Mehta, D; Binder, EB; Nylocks, KM; Kennedy, EM; Klengel, T; Ding, J; Suchy-Dicey, AM; Enquobahrie, DA; Brody, J; Rotter, JI; Chen, YDI; Houwing-Duistermaat, J; Kloppenburg, M; Slagboom, PE (Eline); Helmer, Q; den Hollander, W; Bean, S; Raj, T; Bakhshi, N; Wang, QP; Oyston, LJ; Psaty, BM; Tracy, RP; Montgomery, GW; Turner, ST; Blangero, J; Meulenbelt, I; Ressler, KJ; Yang, Jiaqi; Franke, L; Kettunen, J; Visscher, PM; Neely, GG; Korstanje, R; Hanson, RL; Prokisch, H; Ferrucci, L; Esko, T; Teumer, A; van Meurs, Joyce; Andrew, D.
In: Nature Communications, Vol. 6, 2015.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - The transcriptional landscape of age in human peripheral blood
AU - Peters, Marjolein
AU - Joehanes, R
AU - Pilling, LC
AU - Schurmann, C
AU - Conneely, KN
AU - Powell, J
AU - Reinmaa, E
AU - Sutphin, GL
AU - Zhernakova, A
AU - Schramm, K
AU - Wilson, YA
AU - Kobes, S
AU - Tukiainen, T
AU - Ramos, YF
AU - Goring, HHH
AU - Fornage, M
AU - Liu, YM
AU - Gharib, SA
AU - Stranger, BE
AU - De Jager, PL
AU - Aviv, A
AU - Levy, D
AU - Murabito, JM
AU - Munson, PJ
AU - Huan, T
AU - Hofman, Bert
AU - Uitterlinden, André
AU - Rivadeneira, Fernando
AU - van Rooij, J
AU - Stolk, Lisette
AU - Broer, Linda
AU - Verbiest, Michael
AU - Jhamai, M
AU - Arp, Pascal
AU - Metspalu, A
AU - Tserel, L
AU - Milani, L
AU - Samani, NJ
AU - Peterson, P
AU - Kasela, S
AU - Codd, V
AU - Peters, A
AU - Ward-Caviness, CK
AU - Herder, Cindy
AU - Waldenberger, M
AU - Roden, M
AU - Singmann, P
AU - Zeilinger, S
AU - Illig, T
AU - Homuth, G
AU - Grabe, HJ
AU - Voelzke, H
AU - Steil, L
AU - Kocher, T
AU - Murray, A
AU - Melzer, D
AU - Yaghootkar, H
AU - Bandinelli, S
AU - Moses, EK
AU - Kent, JW
AU - Curran, JE
AU - Johnson, MP
AU - Williams-Blangero, S
AU - Westra, HJ
AU - Mcrae, AF
AU - Smith, JA
AU - Kardia, SLR
AU - Hovatta, I
AU - Perola, M
AU - Ripatti, S
AU - Salomaa, V
AU - Henders, AK
AU - Martin, NG
AU - Smith, AK
AU - Mehta, D
AU - Binder, EB
AU - Nylocks, KM
AU - Kennedy, EM
AU - Klengel, T
AU - Ding, J
AU - Suchy-Dicey, AM
AU - Enquobahrie, DA
AU - Brody, J
AU - Rotter, JI
AU - Chen, YDI
AU - Houwing-Duistermaat, J
AU - Kloppenburg, M
AU - Slagboom, PE (Eline)
AU - Helmer, Q
AU - den Hollander, W
AU - Bean, S
AU - Raj, T
AU - Bakhshi, N
AU - Wang, QP
AU - Oyston, LJ
AU - Psaty, BM
AU - Tracy, RP
AU - Montgomery, GW
AU - Turner, ST
AU - Blangero, J
AU - Meulenbelt, I
AU - Ressler, KJ
AU - Yang, Jiaqi
AU - Franke, L
AU - Kettunen, J
AU - Visscher, PM
AU - Neely, GG
AU - Korstanje, R
AU - Hanson, RL
AU - Prokisch, H
AU - Ferrucci, L
AU - Esko, T
AU - Teumer, A
AU - van Meurs, Joyce
AU - Andrew, D
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
U2 - 10.1038/ncomms9570
DO - 10.1038/ncomms9570
M3 - Article
VL - 6
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
ER -