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Dataset . 2018
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Data sources: ZENODO
DRYAD
Dataset . 2018
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Data from: Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly

Authors: Aramillo Irizar, Peer; Schäuble, Sascha; Esser, Daniela; Groth, Marco; Frahm, Christiane; Priebe, Steffen; Baumgart, Mario; +21 Authors

Data from: Transcriptomic alterations during ageing reflect the shift from cancer to degenerative diseases in the elderly

Abstract

Disease epidemiology during ageing shows a transition from cancer to degenerative chronic disorders as dominant contributors to mortality in the old. Nevertheless, it has remained unclear to what extent molecular signatures of ageing reflect this phenomenon. Here we report on the identification of a conserved transcriptomic signature of ageing based on gene expression data from four vertebrate species across four tissues. We find that ageing-associated transcriptomic changes follow trajectories similar to the transcriptional alterations observed in degenerative ageing diseases but are in opposite direction to the transcriptomic alterations observed in cancer. We confirm the existence of a similar antagonism on the genomic level, where a majority of shared risk alleles that increase the risk of cancer decrease the risk of chronic degenerative disorders and vice versa. These results reveal a fundamental trade-off between cancer and degenerative ageing diseases that sheds light on the pronounced shift in their epidemiology during ageing.

Code and data for Aramillo Irizar et al. (2017)Source code and data for reproducing the analyses reported in the paper.Aramillo_Irizar_2017_Code_and_Data.zip

Keywords

Danio rerio, Nothobranchius furzeri, Homo Sapiens, genetics of aging, Mus musculus, aging diseases, Transcriptomic signature of aging

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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