Age Estimation Based on DNA Methylation and Its Application Prospects in Forensic Medicine

doi:10.12116/j.issn.1004-5619.2021.510604

Abstract

Abstract:

With the improvement of DNA methylation detection techniques, studies on age-related methylation sites have found more age-specific ones across tissues, which improves the sensitivity and accuracy of age estimation. In addition, the establishment of various statistical models also provides a new direction for the age estimation of tissues from different sources. This review summarizes the related studies of age estimation based on DNA methylation from the aspects of detection technology, age-related cytosine phosphate guanine site and model selection in recent years.

Key words: forensic genetics, epigenetics, DNA methylation, age estimation, review

CLC Number:

DF795.2

Zi-wei WANG, Qian-nan XU, Cheng-tao LI, Xi-ling LIU. Age Estimation Based on DNA Methylation and Its Application Prospects in Forensic Medicine[J]. Journal of Forensic Medicine, 2023, 39(1): 72-82.

Figures/Tables 2

References 64

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时间	样本量/例	检材	年龄/岁	方法	模型	误差	参考文献
2018年	390	血液	15~75	EpiTYPER、焦磷酸测序	多元线性回归	R²=0.92，MAD=2.89	[29]
					支持向量机	R²=0.92，MAD=2.91
					人工神经网络	R²=0.92，MAD=2.71
2018年	110	血液	11~93	MPS	支持向量机	RMSE=4.9，MAE=4.1	[27]
2019年	95	唾液	18~65	MPS	人工神经网络	MAPE=8.89%，MAD=3.19	[28]
	95		18~65	SNaPshot	多元线性回归	MAPE=10.44%，MAD=3.69
2020年	310	血液	2~86	SNaPshot	逐步线性回归	R²=0.85，MAD=4.22	[48]
	310		2~86	SNaPshot	支持向量回归	R²=0.86，MAD=4.01
2021年	141	口腔拭子	21~69	焦磷酸测序、微测序	逐步线性回归	MAD₁=5.16，MAD₂=6.44	[53]
2022年	240	血液	1~81	焦磷酸测序	逐步线性回归	RMSE=3.89，MAD=2.97	[57]
					支持向量回归	RMSE=2.95，MAD=2.22
					随机森林回归	RMSE=1.77，MAD=1.29
2022年	529	血液	2~82	SNaPshot	逐步线性回归	R²=0.923，MAE=3.52	[58]
					支持向量回归	R²=0.935，MAE=2.88

时间	样本量/例	检材	年龄/岁	方法	模型	误差	参考文献
2018年	390	血液	15~75	EpiTYPER、焦磷酸测序	多元线性回归	R²=0.92，MAD=2.89	[29]
					支持向量机	R²=0.92，MAD=2.91
					人工神经网络	R²=0.92，MAD=2.71
2018年	110	血液	11~93	MPS	支持向量机	RMSE=4.9，MAE=4.1	[27]
2019年	95	唾液	18~65	MPS	人工神经网络	MAPE=8.89%，MAD=3.19	[28]
	95		18~65	SNaPshot	多元线性回归	MAPE=10.44%，MAD=3.69
2020年	310	血液	2~86	SNaPshot	逐步线性回归	R²=0.85，MAD=4.22	[48]
	310		2~86	SNaPshot	支持向量回归	R²=0.86，MAD=4.01
2021年	141	口腔拭子	21~69	焦磷酸测序、微测序	逐步线性回归	MAD₁=5.16，MAD₂=6.44	[53]
2022年	240	血液	1~81	焦磷酸测序	逐步线性回归	RMSE=3.89，MAD=2.97	[57]
					支持向量回归	RMSE=2.95，MAD=2.22
					随机森林回归	RMSE=1.77，MAD=1.29
2022年	529	血液	2~82	SNaPshot	逐步线性回归	R²=0.923，MAE=3.52	[58]
					支持向量回归	R²=0.935，MAE=2.88

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