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Inter-laboratory adaption of age estimation models by DNA methylation analysis-problems and solutions.
- Source :
-
International journal of legal medicine [Int J Legal Med] 2020 May; Vol. 134 (3), pp. 953-961. Date of Electronic Publication: 2020 Feb 14. - Publication Year :
- 2020
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Abstract
- In recent years, a lot of age prediction models based on different CpG motives in different cell types were published determining the biological age of a person by DNA methylation. For a general employment of this technique, maybe even as a routine method, the cross-laboratory application of such models has to be examined. Therefore, we tested two different published age prediction models for blood and mouth swab samples with regard to prediction accuracy (Bekaert et al Epigenetics 10:922-930, 2015a; Bekaert et al Forensic Sci Int Genet Suppl Ser 5:e144-e145, 2015b). Both models are based on CpG sites of four genes (ASPA, EDARADD, PDE4-C, and ELOVL2), but with a different combination of CpGs for the two tissue types. A mean absolute difference (MAD) between chronological and predicted age of 9.84 and 8.32 years for blood and buccal swab models could be demonstrated, respectively, which is significantly worse than the published data, probably due to higher DNA methylation variances in some CpGs. By retraining both prediction models, the prediction accuracy could be improved to a MAD of 5.55 and 4.65 years for the renewed blood and buccal swab model, respectively. This study demonstrates the usefulness of effective DNA standards to normalize DNA methylation data for better comparison of study results.
- Subjects :
- Amidohydrolases analysis
Blood Chemical Analysis
Cyclic Nucleotide Phosphodiesterases, Type 4 analysis
Edar-Associated Death Domain Protein analysis
Fatty Acid Elongases analysis
Humans
Laboratories
Predictive Value of Tests
Saliva chemistry
Aging genetics
CpG Islands
DNA Methylation
Forensic Genetics methods
Genetic Markers
Subjects
Details
- Language :
- English
- ISSN :
- 1437-1596
- Volume :
- 134
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- International journal of legal medicine
- Publication Type :
- Academic Journal
- Accession number :
- 32055939
- Full Text :
- https://doi.org/10.1007/s00414-020-02263-7