Evidence map›Paper›PMID 31615550›Full record

ArticleClinical epigenetics2019

DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure.

Kenneth Westerman, Paola Sebastiani, Paul Jacques, Simin Liu, Dawn DeMeo, José M Ordovás

Abstract read
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
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  20. Transcriptomic Context ofBiomedicines · 2023
    Article
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.

Kenneth WestermanJM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA.
Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Paul JacquesJM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA.
Simin LiuDepartment of Epidemiology, Brown University, Providence, RI, USA.
Dawn DeMeoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
José M OrdovásJM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA. jose.ordovas@tufts.edu.ORCID 0000-0002-7581-5680

Funding

Nutrition &Cardiovascular Disease Training ProgramT32HL069772 · NHLBI · TUFTS UNIVERSITY BOSTON · PI LICHTENSTEIN, ALICE H · 2003 to 2017
$2.1M
NHLBI NIH HHS T32 HL069772
6 · The paper itself

Abstract

backgroundEpigenome-wide association studies using DNA methylation have the potential to uncover novel biomarkers and mechanisms of cardiovascular disease (CVD) risk. However, the direction of causation for these associations is not always clear, and investigations to-date have often failed to replicate at the level of individual loci.

methodsHere, we undertook module- and region-based DNA methylation analyses of incident CVD in the Women's Health Initiative (WHI) and Framingham Heart Study Offspring Cohort (FHS) in order to find more robust epigenetic biomarkers for cardiovascular risk. We applied weighted gene correlation network analysis (WGCNA) and the Comb-p algorithm to find methylation modules and regions associated with incident CVD in the WHI dataset.

resultsWe discovered two modules whose activation correlated with CVD risk and replicated across cohorts. One of these modules was enriched for development-related processes and overlaps strongly with epigenetic aging sites. For the other, we showed preliminary evidence for monocyte-specific effects and statistical links to cumulative exposure to traditional cardiovascular risk factors. Additionally, we found three regions (associated with the genes SLC9A1, SLC1A5, and TNRC6C) whose methylation associates with CVD risk.

conclusionsIn sum, we present several epigenetic associations with incident CVD which reveal disease mechanisms related to development and monocyte biology. Furthermore, we show that epigenetic modules may act as a molecular readout of cumulative cardiovascular risk factor exposure, with implications for the improvement of clinical risk prediction.

Indexed as

DNA MethylationGene Regulatory NetworksAgedCardiovascular DiseasesCohort StudiesCpG IslandsEpigenesis, GeneticEpigenomicsFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedSoftware

Identifiers

PMID31615550
PMCPMC6792327

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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.