Evidence map›Paper›PMID 35069680›Full record

ArticleFrontiers in genetics2021

Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population.

N Kuzub, V Smialkovska, V Momot, V Moseiko, O Lushchak, A Koliada

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Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

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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

6 authors.

N KuzubInstitute of High Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
V SmialkovskaInstitute of High Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
V MomotInstitute of Biology and Medicine, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
V MoseikoDiagen Laboratory, Kyiv, Ukraine.
O LushchakPrecarpathian National University, Ivano-Frankivsk, Ukraine.
A KoliadaDiagen Laboratory, Kyiv, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic clocks are the models, which use CpG methylation levels for the age prediction of an organism. Although there were several epigenetic clocks developed there is a demand for development and evaluation of the relatively accurate and sensitive epigenetic clocks that can be used for routine research purposes. In this study, we evaluated two epigenetic clock models based on the 4 CpG sites and 2 CpG sites in the human genome using the pyrosequencing method for their methylation level estimation. The study sample included 153 people from the Ukrainian population with the age from 0 to 101. Both models showed a high correlation with the chronological age in our study sample (R

Indexed as

agingDNA methylationepigenetic ageepigenetics clockpyrosequencing

Identifiers

PMID35069680
PMCPMC8770732

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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.