Evidence map›Paper›PMID 30152726›Full record

ArticleEpigenetics2018

Leukocyte telomere length and epigenetic-based mortality risk score: associations with all-cause mortality among older adults.

Xu Gao, Yan Zhang, Ute Mons, Hermann Brenner

Abstract read
In one paragraph

Article in Epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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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3 · Its place in the literature

Who cites it

18 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

4 authors.

Xu Gaoa Division of Clinical Epidemiology and Aging Research , German Cancer Research Center (DKFZ) , Heidelberg , Germany.ORCID 0000-0001-6506-6084
Yan Zhanga Division of Clinical Epidemiology and Aging Research , German Cancer Research Center (DKFZ) , Heidelberg , Germany.
Ute Monsa Division of Clinical Epidemiology and Aging Research , German Cancer Research Center (DKFZ) , Heidelberg , Germany.
Hermann Brennera Division of Clinical Epidemiology and Aging Research , German Cancer Research Center (DKFZ) , Heidelberg , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomere length (TL) has been established as a biomarker of aging and aging-related health outcomes, but showed only a weak or inconsistent association with all-cause mortality in previous epidemiological studies. Recently, an epigenetic 'mortality risk score' (MS) based on whole blood DNA methylation at 10 mortality-related CpG sites has been demonstrated to be strongly related to all-cause mortality at the population level. This study aimed to address the association between TL and this MS, and to assess and compare their associations with all-cause mortality. The MS was derived from the DNA methylation profiles measured by Illumina Human Methylation450K Beadchip and TL was measured by quantitative PCR at baseline among 1517 participants aged 50-75 of the German ESTHER cohort study. In cross-sectional bi- and multivariable analyses, the MS was strongly associated and showed monotonic dose-response relationships with TL (p-values <0.05). However, only the MS but not TL was associated with all-cause mortality during a median follow-up of 12.5 years. After controlling for potential covariates and TL, hazard ratios (95% CI) for all-cause mortality for low, moderate and high levels of the MS defined by 1, 2-5 and >5 CpG sites with aberrant methylation were 2.24 (1.13-4.41), 3.31 (1.76-6.22) and 6.33 (3.22-12.41) compared to a MS of 0, respectively. Our investigation shows that the epigenetic-based MS is strongly associated with TL, a broadly accepted aging biomarker, and at the same time shows much stronger associations with all-cause mortality than the latter.

Indexed as

DNA MethylationEpigenesis, GeneticMortalityTelomere HomeostasisAgedFemaleHumansLeukocytesLongevityMaleMiddle AgedagingDNA Methylationepigenetic epidemiologymortalitymortality risk scoreTelomere

Identifiers

PMID30152726
PMCPMC6224222

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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.