A defined human aging phenome

Research output: Contribution to journalJournal articlepeer-review

Standard

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 journalJournal articlepeer-review

Harvard

Andreassen, SN, Ezra, MB & Scheibye-Knudsen, M 2019, 'A defined human aging phenome', Aging, vol. 11, no. 15, pp. 5786-5806. https://doi.org/10.18632/aging.102166

APA

Andreassen, S. N., Ezra, M. B., & Scheibye-Knudsen, M. (2019). A defined human aging phenome. Aging, 11(15), 5786-5806. https://doi.org/10.18632/aging.102166

Vancouver

Andreassen SN, Ezra MB, Scheibye-Knudsen M. A defined human aging phenome. Aging. 2019;11(15):5786-5806. https://doi.org/10.18632/aging.102166

Author

Andreassen, Søren Norge ; Ezra, Michael Ben ; Scheibye-Knudsen, Morten. / A defined human aging phenome. In: Aging. 2019 ; Vol. 11, No. 15. pp. 5786-5806.

Bibtex

@article{2ced35e07a934f2ab9022c2f14644ec3,
title = "A defined human aging phenome",
abstract = "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.",
keywords = "Aging, Data mining, Phenome, Phenotype",
author = "Andreassen, {S{\o}ren Norge} and Ezra, {Michael Ben} and Morten Scheibye-Knudsen",
year = "2019",
doi = "10.18632/aging.102166",
language = "English",
volume = "11",
pages = "5786--5806",
journal = "Aging",
issn = "1945-4589",
publisher = "Impact Journals LLC",
number = "15",

}

RIS

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