Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science

Forensic Sci Int Genet. 2015 Jan:14:161-7. doi: 10.1016/j.fsigen.2014.10.002. Epub 2014 Oct 14.

Abstract

Age estimation in forensic investigations may complement the prediction of externally visible characteristics and the inference of biogeographical ancestry, thus allowing a better description of an unknown individual. Multiple CpG sites that show linear correlation between age and degree of DNA methylation have been identified in the human genome, providing a selection of candidates for age prediction. In this study, we optimized an assay based on bisulfite conversion and pyrosequencing of 7 CpG sites located in the ELOVL2 gene. Examination of 303 blood samples collected from individuals aged 2-75 years allowed selection of the most informative site, explaining 83% of variation in age. The final linear regression model included two CpG sites in ELOVL2 and enabled age prediction with R(2)=0.859, prediction error=6.85 and mean absolute deviation MAD=5.03. Examination of a testing set of 124 blood samples (MAD=5.75) showed that 68.5% of samples were correctly predicted, assuming that chronological and predicted ages matched ± 7 years. It was found that the ELOVL2 methylation status in bloodstains had not changed significantly after 4 weeks of storage in room temperature conditions. Analysis of 45 bloodstains deposited on tissue paper after 5, 10 and 15 years of storage in room conditions indicated that although a gradual decrease of positive PCR results was observed, the general age prediction success rate remained similar and equaled 60-78%. The obtained results show that the ELOVL2 locus provides a very good source of information about human chronological age based on analysis of blood, including bloodstains, and it may constitute a powerful and reliable predictor in future forensic age estimation models.

Keywords: Age prediction; Biomarker; CpG islands; DNA methylation; ELOVL2; Forensic science.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acetyltransferases / genetics*
  • CpG Islands
  • DNA Methylation*
  • Fatty Acid Elongases
  • Forensic Genetics*
  • Genetic Markers*
  • Humans

Substances

  • ELOVL2 protein, human
  • Genetic Markers
  • Acetyltransferases
  • Fatty Acid Elongases