Universität zu Köln

Freire-Aradas, A., Phillips, C., Mosquera-Miguel, A., Giron-Santamaria, L., Gomez-Tato, A., de Cal, M. Casares, Alvarez-Dios, J., Ansede-Bermejo, J., Torres-Espanol, M., Schneider, P. M., Pospiech, E., Branicki, W., Carracedo, A. and Lareu, M. V. (2016). 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. S. 65 - 75. CLARE: ELSEVIER IRELAND LTD. ISSN 1878-0326

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Abstract

Individual age estimation has the potential to provide key information that could enhance and extend DNA intelligence tools. Following predictive tests for externally visible characteristics developed in recent years, prediction of age could guide police investigations and improve the assessment of age-related phenotype expression patterns such as hair colour changes and early onset of male pattern baldness. DNA methylation at CpG positions has emerged as the most promising DNA tests to ascertain the individual age of the donor of a biological contact trace. Although different methodologies are available to detect DNA methylation, EpiTYPER technology (Agena Bioscience, formerly Sequenom) provides useful characteristics that can be applied as a discovery tool in localized regions of the genome. In our study, a total of twenty-two candidate genomic regions, selected from the assessment of publically available data from the Illumina HumanMethylation 450 BeadChip, had a total of 177 CpG sites with informative methylation patterns that were subsequently investigated in detail. From the methylation analyses made, a novel age prediction model based on a multivariate quantile regression analysis was built using the seven highest age-correlated loci of ELOVL2, ASPA, PDE4C, FHL2, CCDC102B, C1orf132 and chr16: 85395429. The detected methylation levels in these loci provide a median absolute age prediction error of +/- 3.07 years and a percentage of prediction error relative to the age of 6.3%. We report the predictive performance of the developed model using cross validation of a carefully age-graded training set of 725 European individuals and a test set of 52 monozygotic twin pairs. The multivariate quantile regression age predictor, using the CpG sites selected in this study, has been placed in the open-access Snipper forensic classification website. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Freire-Aradas, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Phillips, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Mosquera-Miguel, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Giron-Santamaria, L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Gomez-Tato, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED de Cal, M. Casares UNSPECIFIED UNSPECIFIED UNSPECIFIED Alvarez-Dios, J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Ansede-Bermejo, J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Torres-Espanol, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, P. M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Pospiech, E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Branicki, W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Carracedo, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lareu, M. V. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-265542
DOI:	10.1016/j.fsigen.2016.06.005
Journal or Publication Title:	Forensic Sci. Int.-Genet.
Volume:	24
Page Range:	S. 65 - 75
Date:	2016
Publisher:	ELSEVIER IRELAND LTD
Place of Publication:	CLARE
ISSN:	1878-0326
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DNA METHYLATION; EYE COLOR; PREDICTION; HAIR; IDENTIFICATION; BLOOD Multiple languages Genetics & Heredity; Medicine, Legal Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/26554