Meissner C, Ritz-Timme S. Molecular pathology and age estimation. Forensic Science International. 2010; 203(1-3):34-43. [DOI:10.1016/j.forsciint.2010.07.010] [PMID]

Bauer CM, Niederstatter H, McGlynn G, Stadler H, Parson W. Comparison of morphological and molecular genetic sex-typing on mediaeval human skeletal remains. Forensic Science International: Genetics. 2013; 7(6):581-6. [DOI:10.1016/j.fsigen.2013.05.005] [PMID] [PMCID]

Berdasco M, Esteller M. Hot topics in epigenetic mechanisms of aging: 2011. Aging Cell. 2012; 11(2):181-6. [DOI:10.1111/j.1474-9726.2012.00806.x] [PMID] [PMCID]

Engelfriet PM, Jansen EH, Picavet HS, Dollé ME. Biochemical markers of aging for longitudinal studies in humans. Epidemiologic Reviews. 2013; 35:132-51. [DOI:10.1093/epirev/mxs011] [PMID] [PMCID]

Anaya Y, Yew P, Roberts KA, Hardy WR. DNA methylation of decedent blood samples to estimate the chronological age of human remains. International Journal of Legal Medicine. 2021; 135(6):2163-73. [DOI:10.1007/s00414-021-02650-8] [PMID]

Kayser M. Forensic DNA phenotyping: Predicting human appearance from crime scene material for investigative purposes. Forensic Science International: Genetics. 2015; 18:33-48. [DOI:10.1016/j.fsigen.2015.02.003] [PMID]

Maulani C, Auerkari EI. Age estimation using DNA methylation technique in forensics: A systematic review. Egyptian Journal of Forensic Sciences. 2020; 10:38. [DOI:10.1186/s41935-020-00214-2]

Bacalini MG, Deelen J, Pirazzini C, De Cecco M, Giuliani C, Lanzarini C, et al. Systemic age-associated DNA hypermethylation of ELOVL2 gene: In vivo and in vitro evidences of a cell replication process. The Journals of Gerontology: Series A. 2017; 72(8):1015-23. [DOI:10.1093/gerona/glw185] [PMID] [PMCID]

Freire-Aradas A, Phillips C, Mosquera-Miguel A, Girón-Santamaría L, Gómez-Tato A, Casares de Cal M, et al. Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system. Forensic Science International: Genetics. 2016; 24:65-74. [DOI:10.1016/j.fsigen.2016.06.005] [PMID]

Garagnani P, Bacalini MG, Pirazzini C, Gori D, Giuliani C, Mari D, et al. Methylation of ELOVL2 gene as a new epigenetic marker of age. Aging Cell. 2012; 11:1132-4. [DOI:10.1111/acel.12005] [PMID]

Bekaert B, Kamalandua A, Zapico SC, Van de Voorde W, Decorte R. Improved age determination of blood and teeth samples using a selected set of DNA methylation markers. Epigenetics. 2015; 10(10):922-30. [DOI:10.1080/15592294.2015.1080413] [PMID] [PMCID]

Zubakov D, Liu F, Kokmeijer I, Choi Y, van Meurs JBJ, van IJcken WFJ, et al. Human age estimation from blood using mRNA, DNA methylation, DNA rearrangement, and telomere length. Forensic Science International: Genetics. 2016; 24:33-43. [DOI:10.1016/j.fsigen.2016.05.014] [PMID]

Zbieć-Piekarska R, Spólnicka M, Kupiec T, Makowska Ż, Spas A, Parys-Proszek A, et al. Examination of DNA methylation status of the ELOVL2 marker may be useful for human age prediction in forensic science. Forensic Science International: Genetics. 2015; 14:161-7. [DOI:10.1016/j.fsigen.2014.10.002] [PMID]

Park JL, Kim JH, Seo E, Bae DH, Kim SY, Lee HC, et al. Identification and evaluation of age-correlated DNA methylation markers for forensic use. Forensic Science International: Genetics. 2016; 23:64-70. [DOI:10.1016/j.fsigen.2016.03.005] [PMID]

Jung SE, Lim SM, Hong SR, Lee EH, Shin KJ, Lee HY. DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples. Forensic Science International: Genetics. 2019; 38:1-8. [DOI:10.1016/j.fsigen.2018.09.010] [PMID]

Pan C, Yi S, Xiao C, Huang Y, Chen X, Huang D. The evaluation of seven age-related CpGs for forensic purpose in blood from Chinese Han population. Forensic Science International: Genetics. 2020; 46:102251. [DOI:10.1016/j.fsigen.2020.102251] [PMID]

Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: Explanation and elaboration. BMJ. 2009; 339:b2700. [DOI:10.1136/bmj.b2700] [PMID] [PMCID]

No author. PROSPERO is fast-tracking registration of protocols related to covid-19 [Internet]. 2022. [Updated 2023 January 23]. Aavailable from: [Link]

Cuschieri S. The STROBE guidelines. Saudi Journal of Anaesthesia. 2019; 13(Suppl 1):S31-4 [DOI:10.4103/sja.SJA_543_18] [PMID] [PMCID]

Correia Dias H, Cunha E, Corte Real F, Manco L. Age prediction in living: Forensic epigenetic age estimation based on blood samples. Legal Medicine. 2020; 47:101763. [DOI:10.1016/j.legalmed.2020.101763] [PMID]

Correia Dias H, Cordeiro C, Corte Real F, Cunha E, Manco L. Age estimation based on DNA methylation using blood samples from deceased individuals. Journal of Forensic Sciences. 2020; 65(2):465-70. [DOI:10.1111/1556-4029.14185] [PMID]

Correia Dias H, Cordeiro C, Pereira J, Pinto C, Real FC, Cunha E, et al. DNA methylation age estimation in blood samples of living and deceased individuals using a multiplex SNaPshot assay. Forensic Science International. 2020; 311:110267. [DOI:10.1016/j.forsciint.2020.110267] [PMID]

Leonard AE, Kelder B, Bobik EG, Chuang LT, Lewis CJ, Kopchick JJ, et al. Identification and expression of mammalian long-chain PUFA elongation enzymes. Lipids. 2002; 37(8):733-40. [DOI:10.1007/s11745-002-0955-6] [PMID]

Parson W. Age estimation with DNA: From forensic DNA fingerprinting to forensic (Epi) genomics: A mini-review. Gerontology. 2018; 64(4):326-32. [DOI:10.1159/000486239] [PMID]

Florath I, Butterbach K, Müller H, Bewerunge-Hudler M, Brenner H. Cross-sectional and longitudinal changes in DNA methylation with age: An epigenome-wide analysis revealing over 60 novel age-associated CpG sites. Human Molecular Genetics. 2014; 23(5):1186-201. [DOI:10.1093/hmg/ddt531] [PMID] [PMCID]

Johansson A, Enroth S, Gyllensten U. Continuous aging of the human DNA methylome throughout the human lifespan. Plos One. 2013; 8(6):e67378. [DOI:10.1371/journal.pone.0067378] [PMID] [PMCID]

Vilahur N, Baccarelli AA, Bustamante M, Agramunt S, Byun HM, Fernandez MF, et al. Storage conditions and stability of global DNA methylation in placental tissue. Epigenomics. 2013; 5(3):341-8. [DOI:10.2217/epi.13.29] [PMID] [PMCID]

Alisch RS, Barwick BG, Chopra P, Myrick LK, Satten GA, Conneely KN, et al. Age-associated DNA methylation in pediatric populations. Genome Research. 2012; 22(4):623-32. [DOI:10.1101/gr.125187.111] [PMID] [PMCID]

Horvath S, Zhang Y, Langfelder P, Kahn RS, Boks MP, van Eijk K, et al. Aging effects on DNA methylation modules in human brain and blood tissue. Genome Biology. 2012; 13:R97. [DOI:10.1186/gb-2012-13-10-r97] [PMID] [PMCID]

Hamano Y, Manabe S, Morimoto C, Fujimoto S, Ozeki M, Tamaki K. Forensic age prediction for dead or living samples by use of methylation-sensitive high resolution melting. Legal Medicine. 2016; 21:5-10. [DOI:10.1016/j.legalmed.2016.05.001] [PMID]

Huang Y, Yan J, Hou J, Fu X, Li L, Hou Y. Developing a DNA methylation assay for human age prediction in blood and bloodstain. Forensic Science International: Genetics. 2015; 17:129-36. [DOI:10.1016/j.fsigen.2015.05.007] [PMID]

An JH, Choi A, Shin KJ, Yang WI, Lee HY. DNA methylation-specific multiplex assays for body fluid identification. International Journal of Legal Medicine. 2013; 127(1):35-43. [DOI:10.1007/s00414-012-0719-1] [PMID]

Antunes PJ, Madi T, Balamurugan K, Bombardi R, Duncan G, McCord B. DNA methylation markers as a powerful technique to discriminate body fluids present in crime scenes. Paper presented at: The 24th International Symposium on Human Identification. 7-10 October 2013; Atlanta, USA. [Link]

Cho S, Jung SE, Hong SR, Lee EH, Lee JH, Lee SD, et al. Independent validation of DNA-based approaches for age prediction in blood. Forensic Science International Genetics. 2017; 29:250-6. [DOI:10.1016/j.fsigen.2017.04.020] [PMID]