Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age
Autor: | Deborah S.B.S. Silva, Hussain Alghanim, Kuppareddi Balamurugan, Clarice Sampaio Alho, Bruce McCord, Joana Antunes |
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Rok vydání: | 2017 |
Předmět: |
Adult
Genetic Markers 0301 basic medicine Aging Adolescent Kruppel-Like Transcription Factors Biology Polymerase Chain Reaction Epigenesis Genetic Pathology and Forensic Medicine law.invention Correlation Young Adult 03 medical and health sciences 0302 clinical medicine law Bayesian multivariate linear regression Genetics Humans 030216 legal & forensic medicine Epigenetics Child Saliva Polymerase chain reaction Aged Sp Transcription Factors DNA Methylation DNA Methylation Middle Aged 030104 developmental biology CpG site Multivariate Analysis DNA methylation Pyrosequencing CpG Islands Secretagogins |
Zdroj: | Forensic Science International: Genetics. 31:81-88 |
ISSN: | 1872-4973 |
DOI: | 10.1016/j.fsigen.2017.07.011 |
Popis: | Recent developments in the analysis of epigenetic DNA methylation patterns have demonstrated that certain genetic loci show a linear correlation with chronological age. It is the goal of this study to identify a new set of epigenetic methylation markers for the forensic estimation of human age. A total number of 27 CpG sites at three genetic loci, SCGN, DLX5 and KLF14, were examined to evaluate the correlation of their methylation status with age. These sites were evaluated using 72 blood samples and 91 saliva samples collected from volunteers with ages ranging from 5 to 73 years. DNA was bisulfite modified followed by PCR amplification and pyrosequencing to determine the level of DNA methylation at each CpG site. In this study, certain CpG sites in SCGN and KLF14 loci showed methylation levels that were correlated with chronological age, however, the tested CpG sites in DLX5 did not show a correlation with age. Using a 52-saliva sample training set, two age-predictor models were developed by means of a multivariate linear regression analysis for age prediction. The two models performed similarly with a single-locus model explaining 85% of the age variance at a mean absolute deviation of 5.8 years and a dual-locus model explaining 84% of the age variance with a mean absolute deviation of 6.2 years. In the validation set, the mean absolute deviation was measured to be 8.0 years and 7.1 years for the single- and dual-locus model, respectively. Another age predictor model was also developed using a 40-blood sample training set that accounted for 71% of the age variance. This model gave a mean absolute deviation of 6.6 years for the training set and 10.3years for the validation set. The results indicate that specific CpGs in SCGN and KLF14 can be used as potential epigenetic markers to estimate age using saliva and blood specimens. These epigenetic markers could provide important information in cases where the determination of a suspect's age is critical in developing investigative leads. |
Databáze: | OpenAIRE |
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