Evidence map›Paper›PMID 31897670›Full record

ArticleInternational journal of legal medicine2020

DNA methylation levels and telomere length in human teeth: usefulness for age estimation.

Ana Belén Márquez-Ruiz, Lucas González-Herrera, Juan de Dios Luna, Aurora Valenzuela

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In one paragraph

Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  5. Molecular Age Estimation: Current Perspectives and Future Considerations.International journal of molecular sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ana Belén Márquez-RuizDepartment of Forensic Medicine, Faculty of Medicine, University of Granada, Avda. de la Investigación, 11, 18016, Granada, Spain. abmarquez@ugr.es.ORCID http://orcid.org/0000-0001-5520-1975
Lucas González-HerreraDepartment of Forensic Medicine, Faculty of Medicine, University of Granada, Avda. de la Investigación, 11, 18016, Granada, Spain.
Juan de Dios LunaDepartment of Statistics, Faculty of Medicine, University of Granada, Avda. de la Investigación, 11, 18016, Granada, Spain.
Aurora ValenzuelaDepartment of Forensic Medicine, Faculty of Medicine, University of Granada, Avda. de la Investigación, 11, 18016, Granada, Spain.
Universidad de Granada · ES

Funding

Andalusian Centre of Excellence for Forensic Research (CEIFA) Contrato 3193-00
6 · The paper itself

Abstract

In the last decade, increasing knowledge of epigenetics has led to the development of DNA methylation-based models to predict age, which have shown high predictive accuracy. However, despite the value of teeth as forensic samples, few studies have focused on this source of DNA. This study used bisulfite pyrosequencing to measure the methylation levels of specific CpG sites located in the ELOVL2, ASPA, and PDE4C genes, with the aim of selecting the most age-informative genes and determining their associations with age, in 65 tooth samples from individuals 15 to 85 years old. As a second aim, methylation data and measurements of relative telomere length in the same set of samples were used to develop preliminary age prediction models to evaluate the accuracy of both biomarkers together and separately in estimating age from teeth for forensic purposes. In our sample, several CpG sites from ELOVL2 and PDE4C genes, as well as telomere length, were significantly associated with chronological age. We developed age prediction quantile regression models based on DNA methylation levels, with and without telomere length as an additional variable, and adjusted for type of tooth and sex. Our results suggest that telomere length may have limited usefulness as a supplementary marker for DNA methylation-based age estimation in tooth samples, given that it contributed little improvement in the prediction errors of the models. In addition, even at older ages, DNA methylation appeared to be more informative in predicting age than telomere length when both biomarkers were evaluated separately.

Indexed as

Age Determination by TeethDNA MethylationTelomereAdolescentAdultAgedAged, 80 and overAmidohydrolasesBiomarkersCpG IslandsCyclic Nucleotide Phosphodiesterases, Type 4Fatty Acid ElongasesFemaleForensic DentistryForensic GeneticsHigh-Throughput Nucleotide SequencingAmidohydrolasesaspartoacylaseBiomarkersCyclic Nucleotide Phosphodiesterases, Type 4ELOVL2 protein, humanFatty Acid ElongasesPDE4C protein, humanAge estimationDNA methylationHuman teethTelomere length

Identifiers

PMID31897670
OpenAlexW2997303470

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.