Correia Dias Helena, Cordeiro Cristina, Corte Real Francisco, Cunha Eugénia, Manco Licínio
Department of Life Sciences, Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal.
Department of Life Sciences, Laboratory of Forensic Anthropology, Centre for Functional Ecology (CEF), University of Coimbra, Coimbra, Portugal.
J Forensic Sci. 2020 Mar;65(2):465-470. doi: 10.1111/1556-4029.14185. Epub 2019 Sep 6.
Age estimation using DNA methylation levels has been widely investigated in recent years because of its potential application in forensic genetics. The main aim of this study was to develop an age predictor model (APM) for blood samples of deceased individuals based in five age-correlated genes. Fifty-one samples were analyzed through the bisulfite polymerase chain reaction (PCR) sequencing method for DNA methylation evaluation in genes ELOVL2, FHL2, EDARADD, PDE4C, and C1orf132. Linear regression was used to analyze relationships between methylation levels and age. The model using the highest age-correlated CpG from each locus revealed a correlation coefficient of 0.888, explaining 76.3% of age variation, with a mean absolute deviation from the chronological age (MAD) of 6.08 years. The model was validated in an independent test set of 19 samples producing a MAD of 8.84 years. The developed APM seems to be informative and could have potential application in forensic analysis.
近年来,由于DNA甲基化水平在法医遗传学中的潜在应用,利用其进行年龄估计受到了广泛研究。本研究的主要目的是基于五个与年龄相关的基因,为已故个体的血液样本开发一种年龄预测模型(APM)。通过亚硫酸氢盐聚合酶链反应(PCR)测序方法对51个样本进行分析,以评估ELOVL2、FHL2、EDARADD、PDE4C和C1orf132基因中的DNA甲基化情况。采用线性回归分析甲基化水平与年龄之间的关系。使用每个位点与年龄相关性最高的CpG构建的模型显示,相关系数为0.888,可解释76.3%的年龄变化,与实际年龄的平均绝对偏差(MAD)为6.08岁。该模型在一个由19个样本组成的独立测试集中得到验证,MAD为8.84岁。所开发的APM似乎具有参考价值,可能在法医分析中有潜在应用。