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Status: Bibliographieeintrag

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Verfasst von:Han, Yang [VerfasserIn]   i
 Franzen, Julia [VerfasserIn]   i
 Stiehl, Thomas [VerfasserIn]   i
 Gobs, Michael [VerfasserIn]   i
 Kuo, Chao-Chung [VerfasserIn]   i
 Nikolić, Miloš [VerfasserIn]   i
 Hapala, Jan [VerfasserIn]   i
 Koop, Barbara Elisabeth [VerfasserIn]   i
 Strathmann, Klaus [VerfasserIn]   i
 Ritz-Timme, Stefanie [VerfasserIn]   i
 Wagner, Wolfgang [VerfasserIn]   i
Titel:New targeted approaches for epigenetic age predictions
Verf.angabe:Yang Han, Julia Franzen, Thomas Stiehl, Michael Gobs, Chao-Chung Kuo, Miloš Nikolić, Jan Hapala, Barbara Elisabeth Koop, Klaus Strathmann, Stefanie Ritz-Timme and Wolfgang Wagner
E-Jahr:2020
Jahr:24 June 2020
Umfang:15 S.
Fussnoten:Gesehen am 13.08.2020
Titel Quelle:Enthalten in: BMC biology
Ort Quelle:Berlin : Springer, 2003
Jahr Quelle:2020
Band/Heft Quelle:18(2020) Artikel-Nummer 71, 15 Seiten
ISSN Quelle:1741-7007
Abstract:Background Age-associated DNA methylation changes provide a promising biomarker for the aging process. While genome-wide DNA methylation profiles enable robust age-predictors by integration of many age-associated CG dinucleotides (CpGs), there are various alternative approaches for targeted measurements at specific CpGs that better support standardized and cost-effective high-throughput analysis. Results In this study, we utilized 4647 Illumina BeadChip profiles of blood to select CpG sites that facilitate reliable age-predictions based on pyrosequencing. We demonstrate that the precision of DNA methylation measurements can be further increased with droplet digital PCR (ddPCR). In comparison, bisulfite barcoded amplicon sequencing (BBA-seq) gave slightly lower correlation between chronological age and DNA methylation at individual CpGs, while the age-predictions were overall relatively accurate. Furthermore, BBA-seq data revealed that the correlation of methylation levels with age at neighboring CpG sites follows a bell-shaped curve, often associated with a CTCF binding site. We demonstrate that within individual BBA-seq reads the DNA methylation at neighboring CpGs is not coherently modified, but reveals a stochastic pattern. Based on this, we have developed a new approach for epigenetic age predictions based on the binary sequel of methylated and non-methylated sites in individual reads, which reflects heterogeneity in epigenetic aging within a sample. Conclusion Targeted DNA methylation analysis at few age-associated CpGs by pyrosequencing, BBA-seq, and particularly ddPCR enables high precision of epigenetic age-predictions. Furthermore, we demonstrate that the stochastic evolution of age-associated DNA methylation patterns in BBA-seq data enables epigenetic clocks for individual DNA strands.
DOI:doi:10.1186/s12915-020-00807-2
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1186/s12915-020-00807-2
 DOI: https://doi.org/10.1186/s12915-020-00807-2
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Aging
 Amplicon sequencing
 association
 binding
 biomarkers
 Blood
 blood-cells
 Buccal swabs
 combination
 ctcf
 DNA methylation
 dna methylation changes
 Droplet digital PCR
 Epigenetic
 Human
 methylome
 pcr
 signature
K10plus-PPN:172701958X
Verknüpfungen:→ Zeitschrift

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