DNA methylation-based age prediction from various tissues and body fluids
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Aging is a natural and gradual process in human life. It is influenced by heredity, environment, lifestyle, and disease. DNA methylation varies with age, and the ability to predict the age of donor using DNA from evidence materials at a crime scene is of considerable value in forensic investigations. Recently, many studies have reported age prediction models based on DNA methylation from various tissues and body fluids. Those models seem to be very promising because of their high prediction accuracies. In this review, the changes of age-associated DNA methylation and the age prediction models for various tissues and body fluids were examined, and then the applicability of the DNA methylation-based age prediction method to the forensic investigations was discussed. This will improve the understandings about DNA methylation markers and their potential to be used as biomarkers in the forensic field, as well as the clinical field.
Abstract
Aging is a natural and gradual process in human life. It is influenced by heredity, environment, lifestyle, and disease. DNA methylation varies with age, and the ability to predict the age of donor using DNA from evidence materials at a crime scene is of considerable value in forensic investigations. Recently, many studies have reported age prediction models based on DNA methylation from various tissues and body fluids. Those models seem to be very promising because of their high prediction accuracies. In this review, the changes of age-associated DNA methylation and the age prediction models for various tissues and body fluids were examined, and then the applicability of the DNA methylation-based age prediction method to the forensic investigations was discussed. This will improve the understandings about DNA methylation markers and their potential to be used as biomarkers in the forensic field, as well as the clinical field.
참고문헌 (51)
- Jung M, "Aging and DNA methylation", BMC Biol, 13, pp.7~ (2015)
- Klass MR, "A method for the isolation of longevity mutants in the nematode Caenorhabditis elegans and initial results", Mech Ageing Dev, 22, pp.279~286 (1983)
- López-Otín C, "The hallmarks of aging", Cell, 153, pp.1194~1217 (2013)
- Weinhold B, "Epigenetics: the science of change", Environ Health Perspect, 114, pp.A160~A167 (2006)
- Holliday R, "DNA modification mechanisms and gene activity during development", Science, 187, pp.226~232 (1975)
- Jones PA, "Functions of DNA methylation: islands, start sites, gene bodies and beyond", Nat Rev Genet, 13, pp.484~492 (2012)
- Bird A, "DNA methylation patterns and epigenetic memory", Genes Dev, 16, pp.6~21 (2002)
- Berdishev MT, "Nucleotide composition of DNA and RNA from somatic tissues of humpback salmon and its changes during spawning", Biokhimiia, 38, pp.989~993 (1967)
- Pogribny IP, "Genomic hypomethylation is specific for preneoplastic liver in folate", methyl deficient rats and does not occur in non-target tissues, 2004, pp.548, 53~59
- Wilson VL, "Genomic 5-methyldeoxycytidine decreases with age", J Biol Chem, 262, pp.9948~9951 (1987)
- Issa JP, "Methylation of the oestrogen receptor CpG island links ageing and neoplasia in human colon", Nat Genet, 7, pp.536~540 (1994)
- Viré E, "The polycomb group protein EZH2 directly controls DNA methylation", Nature, 439, pp.871~874 (2006)
- Vanyushin BF, "The 5-methylcytosine in DNA of rats. Tissue and age specificity and the changes induced by hydrocortisone and other agents", Gerontologia, 19, pp.138~152 (1973)
- Fuke C, "Age related changes in 5-methylcytosine content in human peripheral leukocytes and placentas: an HPLC-based study", Ann Hum Genet, 68, pp.196~204 (2004)
- Marino M, "Nutrition and human health from a sex-gender perspective", Mol Aspects Med, 32, pp.1~70 (2011)
- Wang Y, "Coiled-coil networking shapes cell molecular machinery", Mol Biol Cell, 23, pp.3911~3922 (2012)
- Alisch RS, "Ageassociated DNA methylation in pediatric populations", Genome Res, 22, pp.623~632 (2012)
- Weidner CI, "Aging of blood can be tracked by DNA methylation changes at just three CpG sites", Genome Biol, 15, pp.R24~ (2014)
- Zampieri M, "Reconfiguration of DNA methylation in aging", Mech Ageing Dev, 151, pp.60~70 (2015)
- Herskind AM, "The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870-1900", Hum Genet, 97, pp.319~323 (1996)
- Hirner AV, "Methylated metal(loid)species in humans", Met Ions Life Sci, 7, pp.465~521 (2010)
- Bocklandt S, "Epigenetic predictor of age", PLoS One, 6, pp.e14821~ (2011)
- Numata S, "DNA methylation signatures in development and aging of the human prefrontal cortex", Am J Hum Genet, 90, pp.260~272 (2012)
- Johansson A, "Continuous aging of the human DNA methylome throughout the human lifespan", PLoS One, 8, pp.e67378~ (2013)
- Horvath S, "DNA methylation age of human tissues and cell types", Genome Biol, 14, pp.R115~ (2013)
- Jones MJ, "DNA methylation and healthy human aging", Aging Cell, 14, pp.924~932 (2015)
- Fraga MF, "Epigenetic differences arise during the lifetime of monozygotic twins", Proc Natl Acad Sci U S A, 102, pp.10604~10609 (2005)
- Fraga MF, "Epigenetics and aging: the targets and the marks", Trends Genet, 23, pp.413~418 (2007)
- Hannum G, "Genome-wide methylation profiles reveal quantitative views of human aging rates", Mol Cell, 49, pp.359~367 (2013)
- Teschendorff AE, "A beta- mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data", Bioinformatics, 29, pp.189~196 (2013)
- Koch C, "Epigenetic-aging-signature to determine age in different tissues", Aging, 3, pp.1018~1027 (2011)
- Garagnani P, "Methylation of ELOVL2 gene as a new epigenetic marker of age", Aging Cell, 11, pp.1132~1134 (2012)
- Zbieć-Piekarska R, "Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science", Forensic Sci Int Genet, 14, pp.161~167 (2015)
- Zbieć-Piekarska R, "Development of a forensically useful age prediction method based on DNA methylation analysis", Forensic Sci Int Genet, 17, pp.173~179 (2015)
- Cho S, "Independent validation of DNA-based approaches for age prediction in blood", Forensic Sci Int Genet, 29, pp.250~256 (2017)
- Park JL, "Identification and evaluation of age-correlated DNA methylation markers for forensic use", Forensic Sci Int Genet, 23, pp.64~70 (2016)
- Freire-Aradas A, "Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system", Forensic Sci Int Genet, 24, pp.65~74 (2016)
- Vidaki A, "DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing", Forensic Sci Int Genet, 28, pp.225~236 (2017)
- Naue J, "Chronological age prediction based on DNA methylation: massive parallel sequencing and random forest regression", Forensic Sci Int Genet, 31, pp.19~28 (2017)
- Hong SR, "DNA methylation-based age prediction from saliva: high age predictability by combination of 7 CpG markers", Forensic Sci Int Genet, 29, pp.118~125 (2017)
- Eipel M, "Epigenetic age predictions based on buccal swabs are more precise in combination with cell type-specific DNA methylation signatures", Aging (Albany NY), 8, pp.1034~1048 (2016)
- Lee HY, "Epigenetic age signatures in the forensically relevant body fluid of semen: a preliminary study", Forensic Sci Int Genet, 19, pp.28~34 (2015)
- Jenkins TG, "Age-associated sperm DNA methylation alterations: possible implications in offspring disease susceptibility", PLoS Genet, 10, pp.e1004458~ (2014)
- Bekaert B, "Improved age determination of blood and teeth samples using a selected set of DNA methylation markers", Epigenetics, 10, pp.922~930 (2015)
- Giuliani C, "Inferring chronological age from DNA methylation patterns of human teeth", Am J Phys Anthropol, 159, pp.585~595 (2016)
- Marioni RE, "DNA methylation age of blood predicts all-cause mortality in later life", Genome Biol, pp.16~25 (2015)
- Armstrong NJ, "Aging, exceptional longevity and comparisons of the Hannum and Horvath epigenetic clocks", Epigenomics, 9(5), pp.689~700 (2017)
- Kurdyukov S, "DNA methylation analysis: choosing the right method", Biology (Basel), 5, pp.3~ (2016)
- Suchiman HE, "Design, measurement and processing of region-specific DNA methylation assays: the mass spectrometry-based method EpiTYPER", Front Genet, 6, pp.287~ (2015)
- Kaminsky Z, "Methylation SNaPshot: a method for the quantification of site-specific DNA methylation levels", Methods Mol Biol, 507, pp.241~255 (2009)
- Masser DR, "Targeted DNA methylation analysis by next-generation sequencing", J Vis Exp, 96, pp.e52488~ (2015)
