Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.

Zhong Wan, Peter Henneman, Huub C J Hoefsloot, Ate D Kloosterman, Pernette J Verschure

Molecular and Cellular Epigenetics, Swammerdam Institute for Life Sciences, University of Amsterdam, Room C2.106, Science Park 904, 1098 XH, Amsterdam, The Netherlands.Molecular and Cellular Epigenetics, Swammerdam Institute for Life Sciences, University of Amsterdam, Room C2.106, Science Park 904, 1098 XH, Amsterdam, The Netherlands. · pubmed

Paper

Abstract

Alterations in epigenetic DNA methylation (DNAm) can be used as an accurate and robust method for biological age prediction. We assessed the feasibility of incorporating sex chromosomal DNAm markers into a six autosomal DNAm CpG marker-based age prediction model, since DNAm-based prediction modeling has predominantly relied on analyzing DNAm patterns on autosomes.

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Research summary

The paper claims that incorporating sex chromosomal DNAm markers improves the accuracy of biological age prediction models. This research is relevant as it addresses the biological mechanisms of aging through epigenetic markers, which could contribute to understanding and potentially mitigating the aging process.

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