guest ::
| Home > Publications database > Age estimation based on different molecular clocks in several tissues and a multivariate approach: An explorative study > print |
| Home > Publications database > Age estimation based on different molecular clocks in several tissues and a multivariate approach: An explorative study > print |
| 001 | 861914 | ||
| 005 | 20210130001120.0 | ||
| 024 | 7 | _ | |a 10.1007/s00414-019-02054-9 |2 doi |
| 024 | 7 | _ | |a 2128/24424 |2 Handle |
| 024 | 7 | _ | |a altmetric:58887522 |2 altmetric |
| 024 | 7 | _ | |a pmid:30976985 |2 pmid |
| 024 | 7 | _ | |a WOS:000516579000041 |2 WOS |
| 037 | _ | _ | |a FZJ-2019-02320 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Becker, Julia |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Age estimation based on different molecular clocks in several tissues and a multivariate approach: An explorative study |
| 260 | _ | _ | |a Heidelberg |c 2020 |b Springer |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1582894059_2296 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a Bitte die Doi eintragen |
| 520 | _ | _ | |a Several molecular modifications accumulate in the human organism with increasing age. Some of these „molecular clocks“ in DNA and in proteins open up promising approaches for the development of methods for forensic age estimation. A natural limitation of these methods arises from the fact that the chronological age is determined only indirectly by analyzing defined molecular changes that occur during aging. These changes are not linked exclusively to the expired life span but may be influenced significantly by intrinsic and extrinsic factors in the complex process of individual aging. We tested the hypothesis that a combined use of different “molecular clocks” in different tissues results in more precise age estimates because this approach addresses the complex ageing processes in a more comprehensive way. Two molecular clocks (accumulation of D-aspartic acid (D-Asp), accumulation of pentosidine (PEN)) in two different tissues (annulus fibrosus of intervertebral discs and elastic cartilage of the epiglottis) were analyzed in 95 cases, and uni- and multivariate models for age estimation were generated.The more parameters were included in the models for age estimation, the smaller the mean absolute errors (MAE) became. While the MAEs were 7.5 – 11.0 years in univariate models, a multivariate model based on the two protein clocks in the two tissues resulted in a MAE of 4.0 years. These results support our hypothesis. The tested approach of a combined analysis of different molecular clocks analyzed in different tissues opens up new possibilities in postmortem age estimation. In a next step, we will add the epigenetic clock (DNA methylation) to our protein clocks (PEN, D-Asp) and expand our set of tissues.Keywords: Age estimation, pentosidine, D-aspartic acid, machine learning, age prediction model, molecular clocks |
| 536 | _ | _ | |a 574 - Theory, modelling and simulation (POF3-574) |0 G:(DE-HGF)POF3-574 |c POF3-574 |f POF III |x 0 |
| 700 | 1 | _ | |a Mahlke , Nina Sophie |0 P:(DE-HGF)0 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Reckert , Alexandra |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Eickhoff, Simon |0 P:(DE-Juel1)131678 |b 3 |u fzj |
| 700 | 1 | _ | |a Ritz-Timme, Stefanie |0 P:(DE-HGF)0 |b 4 |
| 773 | _ | _ | |a 10.1007/s00414-019-02054-9 |0 PERI:(DE-600)1459222-8 |p 721-733 |t International journal of legal medicine |v 134 |y 2020 |x 0044-3433 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Becker2020_Article_AgeEstimationBasedOnDifferentM.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%201.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%202_rev.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%203.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%204.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%205_rev1.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%206.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%207.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20Abbildung%208_rev.pptx |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/861914/files/Multivariate%20method%20_%20table%201_rev.docx |
| 856 | 4 | _ | |y Published on 2019-04-11. Available in OpenAccess from 2020-04-11. |u https://juser.fz-juelich.de/record/861914/files/Revision_Multivariate%20method_final.pdf |
| 856 | 4 | _ | |y Published on 2019-04-11. Available in OpenAccess from 2020-04-11. |x pdfa |u https://juser.fz-juelich.de/record/861914/files/Revision_Multivariate%20method_final.pdf?subformat=pdfa |
| 856 | 4 | _ | |x pdfa |u https://juser.fz-juelich.de/record/861914/files/Becker2020_Article_AgeEstimationBasedOnDifferentM.pdf?subformat=pdfa |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:861914 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)131678 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 4 |6 P:(DE-HGF)0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
| 915 | _ | _ | |a Embargoed OpenAccess |0 StatID:(DE-HGF)0530 |2 StatID |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b INT J LEGAL MED : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-7-20090406 |k INM-7 |l Gehirn & Verhalten |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)INM-7-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|