A defined human aging phenome
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A defined human aging phenome. / Andreassen, Søren Norge; Ezra, Michael Ben; Scheibye-Knudsen, Morten.
In: Aging, Vol. 11, No. 15, 2019, p. 5786-5806.Research output: Contribution to journal › Journal article › peer-review
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TY - JOUR
T1 - A defined human aging phenome
AU - Andreassen, Søren Norge
AU - Ezra, Michael Ben
AU - Scheibye-Knudsen, Morten
PY - 2019
Y1 - 2019
N2 - Aging is among the most complex phenotypes that occur in humans. Identifying the interplay between different age-associated features is undoubtedly critical to our understanding of aging and thus age-associated diseases. Nevertheless, what constitutes human aging is not well characterized. Towards this end, we mined millions of PubMed abstracts for age-associated terms, enabling us to generate a detailed description of the human aging phenotype. We discovered age-associated features in clusters that can be broadly associated with previously defined hallmarks of aging, consequently identifying areas where interventions could be pursued. Importantly, we validated the newly discovered features by manually verifying the prevalence of these features in combined cohorts describing 76 million individuals, allowing us to stratify features in aging that appear to be the most prominent. In conclusion, we propose a comprehensive landscape of human aging: the human aging phenome.
AB - Aging is among the most complex phenotypes that occur in humans. Identifying the interplay between different age-associated features is undoubtedly critical to our understanding of aging and thus age-associated diseases. Nevertheless, what constitutes human aging is not well characterized. Towards this end, we mined millions of PubMed abstracts for age-associated terms, enabling us to generate a detailed description of the human aging phenotype. We discovered age-associated features in clusters that can be broadly associated with previously defined hallmarks of aging, consequently identifying areas where interventions could be pursued. Importantly, we validated the newly discovered features by manually verifying the prevalence of these features in combined cohorts describing 76 million individuals, allowing us to stratify features in aging that appear to be the most prominent. In conclusion, we propose a comprehensive landscape of human aging: the human aging phenome.
KW - Aging
KW - Data mining
KW - Phenome
KW - Phenotype
U2 - 10.18632/aging.102166
DO - 10.18632/aging.102166
M3 - Journal article
C2 - 31408848
AN - SCOPUS:85071011874
VL - 11
SP - 5786
EP - 5806
JO - Aging
JF - Aging
SN - 1945-4589
IS - 15
ER -
ID: 226792011