Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression

•An epigenetic age prediction tool for blood was developed based on MPS, and the DNA methylation levels of 13 markers.•Random forest regression (RFR) was used for marker selection and model building.•A training set of 208 and test set of 104 whole blood samples were used for model training and evalu...

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Veröffentlicht in:	Forensic science international : genetics Jg. 31; S. 19 - 28
Hauptverfasser:	Naue, Jana, Hoefsloot, Huub C.J., Mook, Olaf R.F., Rijlaarsdam-Hoekstra, Laura, van der Zwalm, Marloes C.H., Henneman, Peter, Kloosterman, Ate D., Verschure, Pernette J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.11.2017
Schlagworte:	Adolescent Adult Age prediction Aged Aging - genetics Algorithms CpG Islands - genetics DNA Methylation Genetic Markers High-Throughput Nucleotide Sequencing Humans Machine Learning Massive parallel sequencing Middle Aged Polymerase Chain Reaction Polymorphism, Single Nucleotide Sequence Analysis, DNA Young Adult DNA methylation Massive parallel sequencing Age prediction Machine learning
ISSN:	1872-4973, 1878-0326, 1878-0326
Online-Zugang:	Volltext
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