Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age
Genome biology, vol. 26, pp. 103
Abstract
Epigenetic aging signatures provide insights into human aging, but traditional clocks rely on linear regression of DNA methylation levels, assuming linear trajectories. This study explores a non-parametric approach using 2D-kernel density estimation to determine epigenetic age. Our weighted model achieves similar predictive accuracy as conventional clocks and provides a variation score reflecting the inherent variability of age-related epigenetic changes within samples. This score is significantly increased in various diseases and associated with mortality risk in the Lothian Birth Cohort 1921. Thus, weighted 2D-kernel density estimation facilitates accurate epigenetic age predictions and offers an additional variable for biological age estimation.
Authors 7
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Affiliation as printed
Helmholtz Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany
Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany
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Affiliation as printed
Institute for Computational Biomedicine - Disease Modeling, RWTH Aachen University, Aachen, Germany
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Institute of Genetics and Cancer · University of Edinburgh
Affiliation as printed
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
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Affiliation as printed
Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
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Affiliation as printed
Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
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Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
Institute for Computational Genomics, RWTH Aachen University Hospital, Aachen, Germany
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Affiliation as printed
Center for Integrated Oncology, Aachen Bonn Cologne Düsseldorf (CIO ABCD), Aachen, Germany. wwagner@ukaachen.de
Helmholtz Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany. wwagner@ukaachen.de
Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany. wwagner@ukaachen.de
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