Age estimation by DNA methylation levels in Iraqi subjects
Epigenomic studies suggest that DNA methylation profiles can indicate chronological age, which is essential in forensic investigation. Here, we analyzed DNA methylation at CpG sites in five genes to investigate their potential to predict human age. Human blood DNA samples, obtained from Iraqi subjec...
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Published in | Gene reports Vol. 23; p. 101022 |
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Abstract | Epigenomic studies suggest that DNA methylation profiles can indicate chronological age, which is essential in forensic investigation. Here, we analyzed DNA methylation at CpG sites in five genes to investigate their potential to predict human age. Human blood DNA samples, obtained from Iraqi subjects, were subjected to bisulfite conversion and pyrosequencing of 27 CpG sites located in the ELOVL2, TRIM59, KLF14, FHL2, and MIR29B2CHG genes. An age prediction model based on multivariate regression analysis and leave-one-out cross-validation (LOOCV) was built using the three highest age-correlated loci present in ELOVL2, TRIM59, and KLF14 genes, which provided a mean absolute deviation of 4.85 and 5.17, and root mean square error of 5.69 and 6.58 years. The results of ANOVA suggest that there is no significant difference between DNA methylation levels of males and females in the five genes. Finally, the new set of three methylated CpG markers is capable of producing an accurate age-predicted model of blood samples. Predicted age correlated well with chronological age in the 18–39 and 40–59 year age categories, but less accurately in the ≥60 year age category.
•Epigenetic markers can indicate a correlation with chronological age in an Iraqi population.•The best three CpG sites in ELOVL2, TRIM59, and KLF14 genes were tested to predict chronological age.•MAD and RMSE between the predicted and the observed ages was 4.85 and 5.17, and 5.69 and 6.58 years, respectively. |
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AbstractList | Epigenomic studies suggest that DNA methylation profiles can indicate chronological age, which is essential in forensic investigation. Here, we analyzed DNA methylation at CpG sites in five genes to investigate their potential to predict human age. Human blood DNA samples, obtained from Iraqi subjects, were subjected to bisulfite conversion and pyrosequencing of 27 CpG sites located in the ELOVL2, TRIM59, KLF14, FHL2, and MIR29B2CHG genes. An age prediction model based on multivariate regression analysis and leave-one-out cross-validation (LOOCV) was built using the three highest age-correlated loci present in ELOVL2, TRIM59, and KLF14 genes, which provided a mean absolute deviation of 4.85 and 5.17, and root mean square error of 5.69 and 6.58 years. The results of ANOVA suggest that there is no significant difference between DNA methylation levels of males and females in the five genes. Finally, the new set of three methylated CpG markers is capable of producing an accurate age-predicted model of blood samples. Predicted age correlated well with chronological age in the 18–39 and 40–59 year age categories, but less accurately in the ≥60 year age category.
•Epigenetic markers can indicate a correlation with chronological age in an Iraqi population.•The best three CpG sites in ELOVL2, TRIM59, and KLF14 genes were tested to predict chronological age.•MAD and RMSE between the predicted and the observed ages was 4.85 and 5.17, and 5.69 and 6.58 years, respectively. |
ArticleNumber | 101022 |
Author | Al-Ghanmy, Hiba S.G. Ayied, Asaad Y. Al-Rashedi, Nihad A.M. |
Author_xml | – sequence: 1 givenname: Hiba S.G. surname: Al-Ghanmy fullname: Al-Ghanmy, Hiba S.G. organization: Department of Biology, College of Science, Al Muthanna University, Samawah, Iraq – sequence: 2 givenname: Nihad A.M. surname: Al-Rashedi fullname: Al-Rashedi, Nihad A.M. email: nhidaee@mu.edu.iq organization: Department of Biology, College of Science, Al Muthanna University, Samawah, Iraq – sequence: 3 givenname: Asaad Y. surname: Ayied fullname: Ayied, Asaad Y. organization: Department of Animal Production, College of Agriculture, Basrah University, Basrah, Iraq |
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Cites_doi | 10.1186/gb-2013-14-10-r115 10.1101/gr.104695.109 10.1371/journal.pone.0067378 10.1086/302844 10.1093/gerona/glw185 10.1016/j.fsigss.2007.10.153 10.1016/j.fsigen.2018.06.011 10.1016/j.fsigen.2017.04.020 10.1016/j.forsciint.2009.09.008 10.1186/s13059-016-1053-6 10.1016/j.forsciint.2012.08.033 10.1074/mcp.M900525-MCP200 10.1016/j.tig.2007.05.008 10.1016/j.fsigen.2017.02.009 10.1016/j.fsigen.2015.05.001 10.1016/j.fsigen.2018.09.010 10.1007/s11357-014-9648-x 10.5483/BMBRep.2016.49.7.070 10.1093/hmg/ddt531 10.1016/j.fsigss.2017.09.095 10.1159/000486239 10.18632/aging.101116 |
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