Evidence map›Paper›PMID 31038702›Full record

ArticleInternational journal of epidemiology2019

Comparative validation of an epigenetic mortality risk score with three aging biomarkers for predicting mortality risks among older adult males.

Xu Gao, Elena Colicino, Jincheng Shen, Allan C Just, Jamaji C Nwanaji-Enwerem, Cuicui Wang, Brent Coull, Xihong Lin, Pantel Vokonas, Yinan Zheng and 3 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Xu GaoLaboratory of Precision Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA.
Elena ColicinoDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jincheng ShenDepartment of Population Health Sciences, University of Utah, School of Medicine, Salt Lake City, UT, USA.
Allan C JustDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jamaji C Nwanaji-EnweremDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Cuicui WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Brent CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Pantel VokonasVeterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Yinan ZhengDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Lifang HouDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Andrea A BaccarelliLaboratory of Precision Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Air Particulate, Metals, and Cognitive Performance in an Aging Cohort- Roles of Circulating Extracellular Vesicles and Non-coding RNAsR01ES027747 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2017 to 2021
$3.7M
Circulating microRNAs in Extracellular Vesicles, Air Particulate Pollution, and Lung Function in an Aging CohortR01ES025225 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BACCARELLI, ANDREA · 2016 to 2020
$2.9M
Molecular and Epigenetic Mitochondriomics of Air Particles, Lead and CognitionR01ES021733 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2012 to 2015
$2.4M
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityR00ES023450 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUST, ALLAN C. · 2016 to 2018
$747k
Utilizing DNA Methylation Age to Understand The Effects of Fine Particles on CognitionF31AG056124 · NIA · HARVARD MEDICAL SCHOOL · PI NWANAJI-ENWEREM, JAMAJI · 2017 to 2018
$85k
NCI NIH HHS R35 CA197449NIA NIH HHS F31 AG056124NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES023450NIEHS NIH HHS R01 ES021733NIEHS NIH HHS R01 ES025225NIEHS NIH HHS R01 ES027747
6 · The paper itself

Abstract

backgroundA 'mortality risk score' (MS) based on ten prominent mortality-related cytosine-phosphate-guanine (CpG) sites was previously associated with all-cause mortality, but has not been verified externally. We aimed to validate the association of MS with mortality and to compare MS with three aging biomarkers: telomere length (TL), DNA methylation age (DNAmAge) and phenotypic age (DNAmPhenoAge) to explore whether MS can serve as a reliable measure of biological aging and mortality.

methodsAmong 534 males aged 55-85 years from the US Normative Aging Study, the MS, DNAmAge and DNAmPhenoAge were derived from blood DNA methylation profiles from the Illumina HumanMethylation450 BeadChip, and TL was measured by quantitative real-time polymerase chain reaction (qRT-PCR).

resultsA total of 147 participants died during a median follow-up of 9.4 years. The MS showed strong associations with all-cause, cardiovascular disease (CVD) and cancer mortality. After controlling for all potential covariates, participants with high MS (>5 CpG sites with aberrant methylation) had almost 4-fold all-cause mortality (hazard ratio: 3.84, 95% confidence interval: 1.92-7.67) compared with participants with a low MS (0-1 CpG site with aberrant methylation). Similar patterns were observed with respect to CVD and cancer mortality. MS was associated with TL and DNAmPhenoAge acceleration but not with DNAmAge acceleration. Although the MS and DNAmPhenoAge acceleration were independently associated with all-cause mortality, the former exhibited a higher predictive accuracy of mortality than the latter.

conclusionsMS has the potential to be a prominent predictor of mortality that could enhance survival prediction in clinical settings.

Indexed as

DNA MethylationEpigenesis, GeneticMortalityAgedAged, 80 and overBiomarkersHumansLongevityLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsUnited StatesBiomarkersbiological agingDNA methylationepigenetic epidemiologymortalityMortality risk score

Identifiers

PMID31038702
PMCPMC6929530

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