Independent validation of DNA-based approaches for age prediction in blood |
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| Institution: | 1. Institute of Forensic Science, Seoul National University College of Medicine, Seoul, Korea;2. Department of Forensic Medicine, Yonsei University College of medicine, Seoul, Korea;3. Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Korea;4. Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, Korea;1. Institute of Forensic Science, Seoul National University, College of Medicine, Seoul, South Korea;2. DNA Link, Seoul, South Korea;3. Department of Forensic Medicine, Seoul National University, College of Medicine, Seoul, South Korea;1. Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea;2. Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea;1. Institute of Forensic Medicine, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan, China;2. Clinical and Translational Research Institute, University of California, San Diego. 9500 Gilman Dr., MC 0990, La Jolla, CA 92093-0990, USA |
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| Abstract: | Numerous molecular biomarkers have been proposed as predictors of chronological age. Among them, T-cell specific DNA rearrangement and DNA methylation markers have been introduced as forensic age predictors in blood because of their high prediction accuracy. These markers appear highly promising, but for better application to forensic casework sample analysis the proposed markers and genotyping methods must be tested further. In the current study, signal-joint T-cell receptor excision circles (sjTRECs) and DNA methylation markers located in the ELOVL2, C1orf132, TRIM59, KLF14, and FHL2 genes were reanalyzed in 100 Korean blood samples to test their associations with chronological age, using the same analysis platform used in previous reports. Our study replicated the age association test for sjTREC and DNA methylation markers in the 5 genes in an independent validation set of 100 Koreans, and proved that the age predictive performance of the previous models is relatively consistent across different population groups. However, the extent of age association at certain CpG loci was not identical in the Korean and Polish populations; therefore, several age predictive models were retrained with the data obtained here. All of the 3 models retrained with DNA methylation and/or sjTREC data have a CpG site each from the ELOVL2 and FHL2 genes in common, and produced better prediction accuracy than previously reported models. This is attributable to the fact that the retrained model better fits the existing data and that the calculated prediction accuracy could be higher when the training data and the test data are the same. However, it is notable that the combination of different types of markers, i.e., sjTREC and DNA methylation, improved prediction accuracy in the eldest group. Our study demonstrates the usefulness of the proposed markers and the genotyping method in an independent dataset, and suggests the possibility of combining different types of DNA markers to improve prediction accuracy. |
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| Keywords: | DNA methylation sjTREC Age prediction Blood Forensic science Korean |
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