Refn Mie Rath, Kampmann Marie-Louise, Vyöni Agnes, Tfelt-Hansen Jacob, Sørensen Erik, Ostrowski Sisse Rye, Kongstad Mette, Aliferi Anastasia, Giangasparo Federica, Morling Niels, Ballard David, Børsting Claus, Pereira Vania
Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; The Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Forensic Sci Int Genet. 2025 Mar;76:103214. doi: 10.1016/j.fsigen.2024.103214. Epub 2024 Dec 15.
DNA methylation patterns have emerged as reliable markers for age estimation, offering potential applications in forensic investigations, namely, in cases where there is no information about a possible suspect, in the identification of victims of mass disasters, or in immigration cases when assessing the age of individuals seeking asylum. This study aimed to evaluate the 11-CpG panel proposed by Aliferi et al. (2022) for age estimation. During the implementation phase, the ELOVL2 amplicon from the original work was replaced with a shorter fragment, and the two PCR multiplexes were optimized by changing the amplicons and primer conditions of each multiplex. The technical performance of the optimised assay was assessed using artificially methylated DNA standards. Robust quantification of the methylation levels at the 11 CpG sites was observed. Sensitivity tests demonstrated that DNA inputs down to 10 ng could produce reliable methylation quantification. Using the optimised panel, 148 Danish blood samples (18 - 68 years of age) were typed for their methylation status at the 11 CpG sites. Results showed that the DNA methylation at the 11 CpG loci was significantly correlated with age (0.68 ≤ r ≤ 0.88) in the Danish sample set, confirming the potential of the 11 CpGs in age prediction. A Danish age prediction model was constructed using 108 of the Danish blood samples and a support vector machine with polynomial function (SVMp). The performances of the new model and the original model based on UK individuals were compared using the remaining 40 Danish blood samples. Comparing the published model to the one developed in this study gave similar results with mean absolute errors (MAE) of 3.28 and 3.35, respectively. However, the original model showed a bias in the age predictions, underestimating the age by an average of 1.53 years in the Danish samples. This bias towards underestimation was not observed in the newly developed age prediction model based on Danish individuals. In summary, this assay provides a reasonably accurate age estimation of a single-source donor, if the sample material is blood and more than 10 ng of nuclear DNA can be extracted from the sample.
DNA甲基化模式已成为年龄估计的可靠标志物,在法医调查中具有潜在应用,即在没有可能嫌疑人信息的案件中、在大规模灾难受害者的身份识别中,或在评估寻求庇护者年龄的移民案件中。本研究旨在评估Aliferi等人(2022年)提出的用于年龄估计的11个CpG位点组合。在实施阶段,将原始研究中的ELOVL2扩增子替换为较短片段,并通过改变每个多重PCR的扩增子和引物条件对两个多重PCR进行优化。使用人工甲基化的DNA标准评估优化后检测方法的技术性能。观察到11个CpG位点甲基化水平的稳健定量。敏感性测试表明,低至10 ng的DNA输入量即可产生可靠的甲基化定量。使用优化后的位点组合,对148份丹麦血液样本(年龄在18至68岁之间)进行了11个CpG位点的甲基化状态分型。结果显示,在丹麦样本集中,11个CpG位点的DNA甲基化与年龄显著相关(0.68≤r≤0.88),证实了这11个CpG位点在年龄预测中的潜力。使用108份丹麦血液样本和具有多项式函数的支持向量机(SVMp)构建了丹麦年龄预测模型。使用其余40份丹麦血液样本比较了新模型与基于英国个体的原始模型的性能。将已发表的模型与本研究中开发的模型进行比较,结果相似,平均绝对误差(MAE)分别为3.28和3.35。然而,原始模型在年龄预测中存在偏差,在丹麦样本中平均低估年龄1.53岁。在基于丹麦个体的新开发年龄预测模型中未观察到这种低估偏差。总之,如果样本材料是血液且能从样本中提取出超过10 ng核DNA,该检测方法可为单来源供体提供合理准确的年龄估计。