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

Background 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 predicti...

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Veröffentlicht in:	Epigenetics & chromatin Jg. 18; H. 1; S. 45 - 13
Hauptverfasser:	Wan, Zhong, Henneman, Peter, Hoefsloot, Huub C. J., Kloosterman, Ate D., Verschure, Pernette J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 15.07.2025 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Adolescent Adult Age Age prediction Aged Aging Aging - genetics Algorithms Animal Genetics and Genomics Biomedical and Life Sciences Buffy coat Cell Biology Chromosomes Chromosomes, Human, X - genetics Chromosomes, Human, Y - genetics Clothing and dress CpG Islands Datasets DNA Methylation DNA microarrays DNA probes Epigenesis, Genetic Epigenetic inheritance Epigenetics Female Gene Expression Gene Function Genetic Markers Human Genetics Humans Life Sciences Machine learning Male Methylation Middle Aged Models, Genetic Plant Genetics and Genomics Prediction models Quality control Random forest regression Regression analysis Sex chromosome Sex chromosomes Sex Chromosomes - genetics Somatic chromosomes Y chromosomes Young Adult Epigenetics DNA methylation Age prediction Sex chromosome Random forest regression
ISSN:	1756-8935, 1756-8935
Online-Zugang:	Volltext
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