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Independent validation of DNA-based approaches for age prediction in blood

Authors
 Sohee Cho  ;  Sang-Eun Jung  ;  Sae Rom Hong  ;  Eun Hee Lee  ;  Ji Hyun Lee  ;  Soong Deok Lee  ;  Hwan Young Lee 
Citation
 FORENSIC SCIENCE INTERNATIONAL-GENETICS, Vol.29 : 250-256, 2017 
Journal Title
FORENSIC SCIENCE INTERNATIONAL-GENETICS
ISSN
 1872-4973 
Issue Date
2017
MeSH
Acetyltransferases/genetics ; Aging/genetics* ; Asian Continental Ancestry Group/genetics ; CpG Islands/genetics ; DNA Methylation* ; Genetic Markers* ; Genotyping Techniques ; Humans ; LIM-Homeodomain Proteins/genetics ; Membrane Proteins/genetics ; Metalloproteins/genetics ; Muscle Proteins/genetics ; Receptors, Antigen, T-Cell/blood* ; Receptors, Antigen, T-Cell/genetics ; Republic of Korea ; Sp Transcription Factors/genetics ; Transcription Factors/genetics
Keywords
Age prediction ; Blood ; DNA methylation ; Forensic science ; Korean ; sjTREC
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.
Full Text
https://www.sciencedirect.com/science/article/pii/S1872497317301047
DOI
10.1016/j.fsigen.2017.04.020
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Forensic Medicine (법의학과) > 1. Journal Papers
Yonsei Authors
Lee, Eun Hee(이은희)
Lee, Hwan Young(이환영)
Jung, Sang Eun(정상은)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160225
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