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Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences

Nov 13, 2019

John C. EarlsNathan Daniel Price

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Abstract

Biological age (BA), derived from molecular and physiological measurements, has been proposed to better predict mortality and disease than chronological age (CA). In the present study, a computed estimate of BA was investigated longitudinally in 3,558 individuals using deep phenotyping,...read more

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Aging
Biological Factors
Chronic Disease
Inflammation
Laboratory
Longitudinal Studies
Silver
Toxin
Bioaccumulation
Monitoring - Action
70
13
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Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences

Nov 13, 2019

John C. EarlsNathan Daniel Price

PMID: 31724055

DOI: 10.1093/gerona/glz220

Abstract

Biological age (BA), derived from molecular and physiological measurements, has been proposed to better predict mortality and disease than chronological age (CA). In the present study, a computed estimate of BA was investigated longitudinally in 3,558 individuals using deep phenotyping,...read more

Mentioned in this Paper

Aging
Biological Factors
Chronic Disease
Inflammation
Laboratory
70
13

Related Papers

Paper Details
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