CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.
National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing, China.
Forensic Sci Int Genet. 2019 May;40:168-174. doi: 10.1016/j.fsigen.2019.03.006. Epub 2019 Mar 6.
We previously proposed a prediction model consisting of 9 CpG sites for forensic age estimation with high practical potentials in Chinese males. Here, we further evaluated the performance of this prediction model in two independent batches of time-series bloodstain samples naturally exposed to room temperature conditions. The first batch consists of 30 Han Chinese males (18-59 years of age) whose peripheral blood was converted into bloodstains on Flinders Technology Association (FTA) cards and naturally exposed to room temperature conditions for different time points up to 3 months. The second batch consists of 99 Han Chinese males (21-66 years of age) whose peripheral blood was divided into 3 replicates, converted into bloodstains on gauze, and naturally exposed to room temperature conditions for 3 months. For each time point and each replicate, the methylation levels at the 9 CpG sites were detected using the EpiTYPER system. Applying the 9-CpG age prediction model to these bloodstain samples resulted in highly accurate age predictions for all time points and replicates (0.81 <R < 0.91, 2.94 < MAD < 3.55 years). The updated model combining our previous and current data achieved similarly high prediction results. Therefore, our 9-CpG age prediction model was successfully validated in time-series bloodstain samples converted on both FTA card and gauze under natural room temperature conditions, demonstrating high potentials in future forensic applications to Han Chinese males.
我们之前提出了一个由 9 个 CpG 位点组成的预测模型,用于法医年龄估计,在汉族男性中具有很高的实际应用潜力。在这里,我们进一步评估了该预测模型在两个独立批次的时间序列血斑样本中的性能,这些样本是在室温条件下自然暴露的。第一批样本包括 30 名汉族男性(18-59 岁),他们的外周血在 Flinders Technology Association(FTA)卡上转化为血斑,并在室温条件下自然暴露不同时间点,最长可达 3 个月。第二批样本包括 99 名汉族男性(21-66 岁),他们的外周血被分成 3 份,在纱布上转化为血斑,并在室温条件下自然暴露 3 个月。对于每个时间点和每个重复,使用 EpiTYPER 系统检测 9 个 CpG 位点的甲基化水平。将 9-CpG 年龄预测模型应用于这些血斑样本,得出了所有时间点和重复的高度准确的年龄预测结果(0.81<R<0.91,2.94< MAD<3.55 年)。结合我们之前和当前数据的更新模型也取得了类似的高预测结果。因此,我们的 9-CpG 年龄预测模型在 FTA 卡和纱布上转化的时间序列血斑样本中得到了成功验证,在未来的法医应用中对汉族男性具有很高的潜力。