探索使用DNA甲基化法定年龄估计的研究
M Boullón-Cassau1, A Ambroa-Conde1, M A Casares de Cal2
1Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Spain.
Forensic science international. Genetics
|September 7, 2024
概括
使用DNA甲基化预测法定年龄是有前途的,特别是当模型在较窄的年龄范围内接受训练时. 虽然准确,但这些表观遗传方法仍然可能错误地将个人归类为未成年人或成年人.
科学领域:
- 法医科学 法医科学 法医科学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 分子生物学分子生物学
背景情况:
- 确定法定年龄对于保护未成年人的福利至关重要.
- 像X射线这样的当前方法是侵入性的.
- 基因甲基化为年龄预测提供了一个不那么侵入性的替代方案.
研究的目的:
- 开发和评估基于DNA甲基化模型的法定年龄估计模型.
- 评估训练数据范围对预测准确性的影响.
- 将新型模型的性能与已建立的表观遗传钟进行比较.
主要方法:
- 在血液样本中开发了两种使用五种特定表观遗传标记 (cg21572722, cg02228185, cg06639320, cg19283806, cg07082267) 的年龄预测模型.
- 在一个广泛的年龄段 (14-94岁) 训练了一个模型,在一个有限的年龄段 (14-25岁) 训练了另一个模型.
- 验证模型使用了18岁的732对双胞胎 (426MZ,306DZ) 的测试组,并与Horvath的皮肤和血液时钟进行了比较.
主要成果:
- 约束型模型实现了较低的平均绝对误差 (MAE) ±1.54年,而宽型模型的±4.32年.
- 在目标年龄周围限制训练数据显著降低了双胞胎的预测误差 (MAE ±1.31-1.30岁).
- 尽管错误很小,但DNA甲基化模型仍然可以错误地分类同龄人,包括双胞胎.
结论:
- DNA甲基化显示出法定年龄估计的潜力,当模型在接近目标年龄的数据上接受训练时,准确性会提高.
- 受约束的表观遗传模型为法定年龄预测提供了更高的准确性.
- 需要进一步的研究来解决边界案件的分类差异,并提高法律应用的可靠性.
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