Epigenetic age signatures in bones

Lee, Hwan Young; Hong, Sae Rom; Lee, Ji Eun; Hwang, In Kwan; Kim, Nam Ye; Lee, Jeong Min; Fleckhaus, Jan; Jung, Seong‐Ook; Lee, Yang Han

doi:10.1016/j.fsigen.2020.102261

Cited by 21 publications

(25 citation statements)

References 35 publications

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“…In recent years, the SNaPshot assay, which is a semiquantitative methylation detection method, has been widely applied in the forensic sciences to construct age prediction models by detecting methylation status [16][17][18]31]. SNaPshot is highly valued because of its ability to accommodate multiple CpG sites without compromising stability [17].…”

Section: Discussionmentioning

confidence: 99%

“…A SNaPshot assay, which is a semiquantitative method using the microsequencing technique, has been used to infer the age of different tissues with high accuracy by detecting the methylation of specific CpG sites [16][17][18]31,32]. It is a convenient tool for forensic practitioners, as it has the advantage of simultaneously detecting multiple CpG sites using instruments routinely found in a forensic DNA laboratory.…”

Section: Introductionmentioning

confidence: 99%

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Predicting human age by detecting DNA methylation status in hair

et al. 2021

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Age prediction is of great importance for criminal investigation and judicial expertise. DNA methylation status is considered a promising method to infer tissue age by virtue of age‐dependent changes on methylation sites. In recent years, forensic scientists have established various models to predict the chronological age of blood, saliva, and semen based on DNA methylation status. However, hair‐inferred age has not been studied in the field of forensic science. In this study, we measured the methylation statuses of potential age‐related CpG sites by using the multiplex methylation SNaPshot method. A total of 10 CpG sites from the LAG3, SCGN, ELOVL2, KLF14, C1orf132, SLC12A5, GRIA2, and PDE4C genes were found to be tightly associated with age in hair follicles. A correlation coefficient above 0.7 was found for four CpG sites (cg24724428 and Chr6:11044628 in ELOVL2, cg25148589 in GRIA2, and cg07547549 in SLC12A5). Among four age‐prediction models, the multiple linear regression model consisting of 10 CpG sites provided the best‐fitting results, with a median absolute deviation of 3.68 years. It is feasible to obtain both human identification and age information from a single scalp hair follicle. No significant differences in methylation degree were found between different sexes, hair types, or hair colors. In conclusion, we established a method to evaluate chronological age by assessing DNA methylation status in hair follicles.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting human age by detecting DNA methylation status in hair

et al. 2021

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“…These methylated FHL2 CpG sites have also been shown to be quite consistently present in different tissues, while demonstrating significant correlations with aging [24][25][26]. These recent findings suggest a potentially pivotal role for methylation in regulating FHL2 expression and function in age-related disorders.…”

Section: Introductionmentioning

confidence: 67%

How (Epi)Genetic Regulation of the LIM-Domain Protein FHL2 Impacts Multifactorial Disease

Habibe

Clemente-Olivo

Vries

2021

Cells

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Susceptibility to complex pathological conditions such as obesity, type 2 diabetes and cardiovascular disease is highly variable among individuals and arises from specific changes in gene expression in combination with external factors. The regulation of gene expression is determined by genetic variation (SNPs) and epigenetic marks that are influenced by environmental factors. Aging is a major risk factor for many multifactorial diseases and is increasingly associated with changes in DNA methylation, leading to differences in gene expression. Four and a half LIM domains 2 (FHL2) is a key regulator of intracellular signal transduction pathways and the FHL2 gene is consistently found as one of the top hyper-methylated genes upon aging. Remarkably, FHL2 expression increases with methylation. This was demonstrated in relevant metabolic tissues: white adipose tissue, pancreatic β-cells, and skeletal muscle. In this review, we provide an overview of the current knowledge on regulation of FHL2 by genetic variation and epigenetic DNA modification, and the potential consequences for age-related complex multifactorial diseases.

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“…B. Blutspuren) bietet der Ansatz die Möglichkeit zur Schätzung des Lebensalters der Spurenlegerin oder des Spurenlegers [41,42]. Auch zum Einsatz zur postmortalen Altersschätzung wurden bereits erste Studien durchgeführt [43][44][45][46][47]. Für die besten Modelle für Altersschätzungen mithilfe der DNAm sind "mean absolute deviations" (MAD) von ca.…”

Section: Dna-methylierungunclassified

Nutzung von Altersinformationen aus posttranslationalen Proteinmodifikationen und DNA-Methylierung zur postmortalen Lebensaltersschätzung

et al. 2021

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ZusammenfassungMit der Identifikation und Beschreibung „molekularer Uhren“ (posttranslationale Proteinmodifikationen, DNA-Methylierung) eröffnen sich neue Möglichkeiten zur Entwicklung von Verfahren zur postmortalen Lebensaltersschätzung. Bislang werden diese Ansätze aber nur unabhängig voneinander eingesetzt. Ihre Verknüpfung verspricht eine bessere Erfassung hochkomplexer Alterungsprozesse und damit die Möglichkeit zur Entwicklung optimierter Verfahren zur Altersschätzung für verschiedenste Szenarien der forensischen Praxis.In Vorbereitung umfangreicher Untersuchungen zur Überprüfung dieser Hypothese wurden verschiedene molekulare Uhren (Akkumulation von D‑Asparaginsäure, Akkumulation von Pentosidin und DNA-Methylierungsmarker [RPA2, ZYG11A, F5, HOXC4, NKIRAS2, TRIM59, ELOVL2, DDO, KLF14 und PDE4C]) in 4 fäulnisresistenten Geweben (Knochen, Sehne, Bandscheibe, Epiglottis) von 15 Individuen untersucht.In allen untersuchten Geweben fand sich eine starke Korrelation beider Proteinmarker sowie jeweils mehrerer DNA-Methylierungsmarker mit dem Lebensalter. Dabei zeigten die untersuchten Parameter gewebsspezifische Veränderungen mit dem Alter.Die Ergebnisse der Pilotstudie belegen das Potenzial der Verknüpfung molekularer Verfahren für die postmortale Altersschätzung. Weitere Untersuchungen werden zeigen, wie genau postmortale Altersschätzungen sein können, wenn Altersinformationen aus posttranslationalen Proteinmodifikationen und DNA-Methylierung aus verschiedenen Geweben in multivariaten Modellen verknüpft werden.

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Epigenetic age signatures in bones

Cited by 21 publications

References 35 publications

Predicting human age by detecting DNA methylation status in hair

Predicting human age by detecting DNA methylation status in hair

How (Epi)Genetic Regulation of the LIM-Domain Protein FHL2 Impacts Multifactorial Disease

Nutzung von Altersinformationen aus posttranslationalen Proteinmodifikationen und DNA-Methylierung zur postmortalen Lebensaltersschätzung

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