Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system

被引:113
作者
Freire-Aradas, A. [1 ]
Phillips, C. [1 ]
Mosquera-Miguel, A. [1 ]
Giron-Santamaria, L. [1 ]
Gomez-Tato, A. [2 ]
de Cal, M. Casares [2 ]
Alvarez-Dios, J. [2 ]
Ansede-Bermejo, J. [3 ]
Torres-Espanol, M. [3 ]
Schneider, P. M. [4 ]
Pospiech, E. [5 ,6 ]
Branicki, W. [6 ]
Carracedo, A. [1 ,7 ]
Lareu, M. V. [1 ]
机构
[1] Univ Santiago de Compostela, Inst Forens Sci, Forens Genet Unit, Santiago De Compostela, Spain
[2] Univ Santiago de Compostela, Fac Math, Santiago De Compostela, Spain
[3] Spanish Natl Genotyping Center USC PRB2 ISCIII, Santiago De Compostela, Spain
[4] Univ Cologne, Inst Legal Med, Fac Med, Cologne, Germany
[5] Jagiellonian Univ, Inst Zool, Fac Biol & Earth Sci, Krakow, Poland
[6] Jagiellonian Univ, Malopolska Ctr Biotechnol, Krakow, Poland
[7] King Abdulaziz Univ, Ctr Excellence Gen Med Res, Jeddah, Saudi Arabia
关键词
Forensic age estimation; DNA methylation; Agena Bioscience EpiTYPER; Illumina HumanMethylation 450K; CpG sites; Multivariate quantile regression; DNA METHYLATION; EYE COLOR; PREDICTION; HAIR; IDENTIFICATION; BLOOD;
D O I
10.1016/j.fsigen.2016.06.005
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页码:65 / 74
页数:10
相关论文
共 40 条
[1]  
Alfons A., 2012, cvTools: Cross-validation tools for regression models
[2]   Age-associated DNA methylation in pediatric populations [J].
Alisch, Reid S. ;
Barwick, Benjamin G. ;
Chopra, Pankaj ;
Myrick, Leila K. ;
Satten, Glen A. ;
Conneely, Karen N. ;
Warren, Stephen T. .
GENOME RESEARCH, 2012, 22 (04) :623-632
[3]  
[Anonymous], INTRO EPITYPER QUANT
[4]   Improved age determination of blood and teeth samples using a selected set of DNA methylation markers [J].
Bekaert, Bram ;
Kamalandua, Aubeline ;
Zapico, Sara C. ;
Van de Voorde, Wim ;
Decorte, Ronny .
EPIGENETICS, 2015, 10 (10) :922-930
[5]   High density DNA methylation array with single CpG site resolution [J].
Bibikova, Marina ;
Barnes, Bret ;
Tsan, Chan ;
Ho, Vincent ;
Klotzle, Brandy ;
Le, Jennie M. ;
Delano, David ;
Zhang, Lu ;
Schroth, Gary P. ;
Gunderson, Kevin L. ;
Fan, Jian-Bing ;
Shen, Richard .
GENOMICS, 2011, 98 (04) :288-295
[6]   Evaluation of DNA methylation markers and their potential to predict human aging [J].
Bispo Santos Silva, Deborah Soares ;
Antunes, Joana ;
Balamurugan, Kuppareddi ;
Duncan, George ;
Alho, Clarice Sampaio ;
McCord, Bruce .
ELECTROPHORESIS, 2015, 36 (15) :1775-1780
[7]   Epigenetic Predictor of Age [J].
Bocklandt, Sven ;
Lin, Wen ;
Sehl, Mary E. ;
Sanchez, Francisco J. ;
Sinsheimer, Janet S. ;
Horvath, Steve ;
Vilain, Eric .
PLOS ONE, 2011, 6 (06)
[8]   Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites [J].
Florath, Ines ;
Butterbach, Katja ;
Mueller, Heiko ;
Bewerunge-Hudler, Melanie ;
Brenner, Hermann .
HUMAN MOLECULAR GENETICS, 2014, 23 (05) :1186-1201
[9]   Methylation of ELOVL2 gene as a new epigenetic marker of age [J].
Garagnani, Paolo ;
Bacalini, Maria G. ;
Pirazzini, Chiara ;
Gori, Davide ;
Giuliani, Cristina ;
Mari, Daniela ;
Di Blasio, Anna M. ;
Gentilini, Davide ;
Vitale, Giovanni ;
Collino, Sebastiano ;
Rezzi, Serge ;
Castellani, Gastone ;
Capri, Miriam ;
Salvioli, Stefano ;
Franceschi, Claudio .
AGING CELL, 2012, 11 (06) :1132-1134
[10]   Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates [J].
Hannum, Gregory ;
Guinney, Justin ;
Zhao, Ling ;
Zhang, Li ;
Hughes, Guy ;
Sadda, SriniVas ;
Klotzle, Brandy ;
Bibikova, Marina ;
Fan, Jian-Bing ;
Gao, Yuan ;
Deconde, Rob ;
Chen, Menzies ;
Rajapakse, Indika ;
Friend, Stephen ;
Ideker, Trey ;
Zhang, Kang .
MOLECULAR CELL, 2013, 49 (02) :359-367