法医学杂志 ›› 2023, Vol. 39 ›› Issue (5): 441-446.DOI: 10.12116/j.issn.1004-5619.2022.520405

• 论著 • 上一篇    下一篇

DNA甲基化年龄推断模型在华东汉族人群中的跨平台应用

王紫薇1,2(), 李成涛1,2(), 刘希玲2()   

  1. 1.苏州大学基础医学与生物科学学院法医学系,江苏 苏州 215123
    2.司法鉴定科学研究院 上海市法医学重点实验室 司法部司法鉴定重点实验室 上海市司法鉴定专业技术服务平台,上海 200063
  • 收稿日期:2022-04-22 发布日期:2023-11-24 出版日期:2023-10-25
  • 通讯作者: 李成涛,刘希玲
  • 作者简介:刘希玲,女,副研究员,硕士研究生导师,主要从事法医遗传学研究;E-mail:liuxl@ssfjd.cn
    李成涛,男,研究员,博士研究生导师,主要从事法医遗传学研究;E-mail:lichengtaohla@163.com
    王紫薇(1995—),女,硕士研究生,主要从事法医遗传学研究;E-mail:viviwangzw@163.com
  • 基金资助:
    国家自然科学基金资助项目(81871534);中央级公益性科研院所资助项目(GY2021G-2);上海市法医学重点实验室资助项目(21DZ2270800);司法部司法鉴定重点实验室资助项目;上海市司法鉴定专业技术服务平台资助项目

Cross-Platform Application of DNA Methylation Age Estimation Model in Eastern Chinese Han Population

Zi-wei WANG1,2(), Cheng-tao LI1,2(), Xi-ling LIU2()   

  1. 1.Department of Forensic Medicine, School of Basic Medicine and Biological Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
    2.Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
  • Received:2022-04-22 Online:2023-11-24 Published:2023-10-25
  • Contact: Cheng-tao LI,Xi-ling LIU

摘要:

目的 评估基于DNA甲基化年龄推断模型在华东汉族人群中的法医学应用价值,为探索适用于不同检测平台的年龄推断模型提供理论依据。 方法 根据已发表的中国汉族人群血液DNA甲基化年龄推断模型中6个年龄相关甲基化位点,使用焦磷酸测序和下一代测序(next-generation sequencing,NGS)技术分别检测48例样本的DNA甲基化水平,分别将其代入年龄推断模型后计算预测年龄,并与真实年龄进行比较。 结果 两种检测技术下6个甲基化位点都与年龄相关,使用焦磷酸技术的R2为0.85,平均绝对误差(median absolute deviation,MAD)为4.81岁,使用NGS技术的R2为0.84,MAD=4.41岁。 结论 该血液DNA甲基化年龄推断模型可以在焦磷酸测序与基于NGS的多重目的区域甲基化富集测序技术下使用,并能够较为准确地推断年龄。

关键词: 法医物证学, 表观遗传学, 年龄推断, DNA甲基化, 焦磷酸测序, 下一代测序

Abstract:

Objective To evaluate the forensic application value of an age estimation model based on DNA methylation in eastern Chinese Han population, and to provide a theoretical basis for exploring age estimation models suitable for different detection platforms. Methods According to the 6 age-related methylation sites in the published blood DNA methylation age estimation models of Chinese Han population, the DNA methylation level of 48 samples was detected by pyrosequencing and next-generation sequencing (NGS). After submitting DNA methylation levels to the age estimation model, the DNA methylation ages were predicted and compared with their real ages. Results The 6 DNA methylation sites in both detection techniques were age-related, with an R2 of 0.85 and a median absolute deviation (MAD) of 4.81 years when using pyrosequencing; with an R2 of 0.84 and MAD of 4.41 years when using NGS. Conclusion The blood DNA methylation age estimation model can be used under pyrosequencing and multi-purpose regional methylation enrichment sequencing technology based on NGS and it can accurately estimate the age.

Key words: forensic genetic, epigenetics, age estimation, DNA methylation, pyrosequencing, next-generation sequencing

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