DNA-based prediction of human externally visible characteristics in forensics: motivations, scientific challenges, and ethical considerations.

Forensic Sci. Int. Genet. 2009; 3: 154-161https://doi.org/10.1016/j.fsigen.2009.01.012Schneider P.M. Prainsack B. Kayser M.

The use of forensic DNA phenotyping in predicting appearance and biogeographic ancestry.

Dtsch. Arztebl. Int. 2019; 116: 873-880https://doi.org/10.3238/arztebl.2019.0873Ritz-Timme S. Schneider P.M. Mahlke N.S. Koop B.E. Eickhoff S.B.

Age estimation based on DNA methylation: ready for use to “establish” the chronological age of young migrants without valid identity documents?.

Rechtsmedizin. 2018; 28: 202-207https://doi.org/10.1007/s00194-018-0249-3

The aging epigenome.

Mol. Cell. 2016; 62: 728-744https://doi.org/10.1016/j.molcel.2016.05.013Zampieri M. Ciccarone F. Calabrese R. Franceschi C. Bürkle A. Caiafa P.

Reconfiguration of DNA methylation in aging.

Mech. Ageing Dev. 2015; 151: 60-70https://doi.org/10.1016/j.mad.2015.02.002Bocklandt S. Lin W. Sehl M.E. Sánchez F.J. Sinsheimer J.S. Horvath S. Vilain E.

Epigenetic predictor of age.

PLoS One. 2011; 6: 14821https://doi.org/10.1371/journal.pone.0014821

Aging and DNA methylation.

BMC Biol. 2015; 13: 1-8https://doi.org/10.1186/s12915-015-0118-4Alghanim H. Antunes J. Silva D.S.B.S. Alho C.S. Balamurugan K. McCord B.

Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age.

Forensic Sci. Int. Genet. 2017; 31: 81-88https://doi.org/10.1016/j.fsigen.2017.07.011

DNA methylation age of human tissues and cell types.

Genome Biol. 2013; 14: 115https://doi.org/10.1186/gb-2013-14-10-r115Hong S.R. Jung S.E. Lee E.H. Shin K.J. Yang W.I. Lee H.Y.

DNA methylation-based age prediction from saliva: high age predictability by combination of 7 CpG markers.

Forensic Sci. Int. Genet. 2017; 29: 118-125https://doi.org/10.1016/j.fsigen.2017.04.006Eipel M. Mayer F. Arent T. Ferreira M.R.P. Birkhofer C. Gerstenmaier U. Costa I.G. Ritz-Timme S. Wagner W.

Epigenetic age predictions based on buccal swabs are more precise in combination with cell type-specific DNA methylation signatures.

Aging. 2016; 8: 1034-1048https://doi.org/10.18632/aging.100972Hamano Y. Manabe S. Morimoto C. Fujimoto S. Tamaki K.

Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts.

Sci. Rep. 2017; 7: 1-8https://doi.org/10.1038/s41598-017-10752-w

Building predictive models in R using the caret package.

J. Stat. Softw. 2008; 28: 1-26https://doi.org/10.18637/jss.v028.i05

A guideline of selecting and reporting intraclass correlation coefficients for reliability research.

J. Chiropr. Med. 2016; 15: 155-163https://doi.org/10.1016/j.jcm.2016.02.012

Measuring agreement in method comparison studies.

Stat. Methods Med. Res. 1999; 8: 135-160https://doi.org/10.1177/096228029900800204Bekaert B. Kamalandua A. Zapico S.C. 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: 922-930https://doi.org/10.1080/15592294.2015.1080413Weidner C.I. Lin Q. Koch C.M. Eisele L. Beier F. Ziegler P. Bauerschlag D.O. Jöckel K.H. Erbel R. Mühleisen T.W. Zenke M. Brümmendorf T.H. Wagner W.

Aging of blood can be tracked by DNA methylation changes at just three CpG sites.

Genome Biol. 2014; 15: 24https://doi.org/10.1186/gb-2014-15-2-r24Freire-Aradas A. Phillips C. Mosquera-Miguel A. Girón-Santamaría L. Gómez-Tato A. Casares De Cal M. Álvarez-Dios J. Ansede-Bermejo J. Torres-Español M. Schneider P.M. Pośpiech E. Branicki W. Carracedo Lareu M.V.

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. 2016; 24: 65-74https://doi.org/10.1016/j.fsigen.2016.06.005Huang 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 Sci. Int. Genet. 2015; 17: 129-136https://doi.org/10.1016/j.fsigen.2015.05.007Tsaprouni L.G. Yang T.P. Bell J. Dick K.J. Kanoni S. Nisbet J. Viñuela A. Grundberg E. Nelson C.P. Meduri E. Buil A. Cambien F. Hengstenberg C. Erdmann J. Schunkert H. Goodall A.H. Ouwehand W.H. Dermitzakis E. Spector T.D. Samani N.J. Deloukas P.

Cigarette smoking reduces DNA methylation levels at multiple genomic loci but the effect is partially reversible upon cessation.

Epigenetics. 2014; 9: 1382-1396https://doi.org/10.4161/15592294.2014.969637Zbieć-Piekarska R. Spólnicka M. Kupiec T. Makowska Z. Spas A. Parys-Proszek A. Kucharczyk K. Płoski R. Branicki W.

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

Forensic Sci. Int. Genet. 2015; 14: 161-167https://doi.org/10.1016/j.fsigen.2014.10.002Hannum G. Guinney J. Zhao L. Zhang L. Hughes G. Sadda S.V. Klotzle B. Bibikova M. Fan J.B. Gao Y. Deconde R. Chen M. Rajapakse I. Friend S. Ideker T. Zhang K.

Genome-wide methylation profiles reveal quantitative views of human aging rates.

Mol. Cell. 2013; 49: 359-367https://doi.org/10.1016/j.molcel.2012.10.016Garagnani P. Bacalini M.G. Pirazzini C. Gori D. Giuliani C. Mari D. Di Blasio A.M. Gentilini D. Vitale G. Collino S. Rezzi S. Castellani G. Capri M. Salvioli S. Franceschi C.

Methylation of ELOVL2 gene as a new epigenetic marker of age.

Aging Cell. 2012; 11: 1132-1134https://doi.org/10.1111/acel.12005Jung S.E. Lim S.M. Hong S.R. Lee E.H. Shin K.J. Lee H.Y.

DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples.

Forensic Sci. Int. Genet. 2019; 38: 1-8https://doi.org/10.1016/j.fsigen.2018.09.010

K. Ord, R. Fildes, Principles of business forecasting, (2012).

Naue J. Hoefsloot H.C.J. Mook O.R.F. Rijlaarsdam-Hoekstra L. van der Zwalm M.C.H. Henneman P. Kloosterman A.D. Verschure P.J.

Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression.

Forensic Sci. Int. Genet. 2017; 31: 19-28https://doi.org/10.1016/j.fsigen.2017.07.015Thiede C. Prange-Krex G. Freiberg-Richter J. Bornhauser M. Ehninger G.

Buccal swabs but not mouthwash samples can be used to obtain pretransplant DNA fingerprints from recipients of allogeneic bone marrow transplants.

Bone Marrow Transpl. 2000; 25: 575-577https://doi.org/10.1038/sj.bmt.1702170Zbieć-Piekarska R. Spólnicka M. Kupiec T. Parys-Proszek A. Makowska Z. Pałeczka A. Kucharczyk K. Płoski R. Branicki W.

Development of a forensically useful age prediction method based on DNA methylation analysis.

Forensic Sci. Int. Genet. 2015; 17: 173-179https://doi.org/10.1016/j.fsigen.2015.05.001