A new approach to the concept and computation of biological age.

By P. Klemera, S. Ďoubal. Mechanisms of Ageing and Development, 2006

662 citations recorded by the source corpus.

Subfields: Aging, Demography, Pediatrics, Perinatology and Child Health

View Paper: https://www.semanticscholar.org/paper/ab66743481da99088d8884ea3a3188cc519a9881

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Citations in the corpus

DNA methylation-based measures of biological age: meta-analysis predicting time to death (2016, methodology): “used in the weighted average are determined by the correlation between the respective variable and chronological age [32].”
Quantification of biological aging in young adults (2015, methodology): “We calculated each Dunedin Study member’s Biological Age at age 38 y using the Klemera–Doubal equation (23) and parameters estimated from the NHANES-III dataset (26) for 10 biomarkers.”
Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? (2013, methodology): “included in the algorithm be functionally uncorrelated and that factor analysis or PCA be used to reach this goal (16).”
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors (2017, positive): “Second, we increased the contribution of immune blood cell types to the age estimate by forming a weighted average of Hannum’s estimate with 3 cell types that are known to change with age: naïve (CD45RA+CCR7+) cytotoxic T cells, exhausted (CD28-CD45RA-) cytotoxic T cells, and plasmablasts using the ”
An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease (2016, methodology): “[19] and three estimated measures of blood cells for cell types that are known to change with age: naïve (CD45RA + CCR7+) cytotoxic T cells; exhausted (CD28-CD45RA-) cytotoxic T cells; and plasma B cells using the approach by Klemera Doubal [65].”
A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge (2021, methodology): “The BioAge package develops algorithms to measure biological aging from a user-specified list of biomarkers based on three published methods: the KlemeraDoubal method biological age (KDM BA) [27], the PhenoAge [13], and homeostatic dysregulation (HD) [28].”
DunedinPACE, a DNA methylation biomarker of the pace of aging (2021, methodology): “…hemoglobin, systolic blood pressure, and forced expiratory volume in 1 second) based on algorithms derived in data from the US NHANES according to the methods developed by Levine et al. (Levine et al., 2018), Klemera and Doubal (Klemera and Doubal, 2006), and Cohen et al. (Cohen et al., 2013).”