Evidence map›Paper›PMID 35665255›Full record

ArticleFrontiers in cardiovascular medicine2022

DNA Methylation Mediates the Association Between Individual and Neighborhood Social Disadvantage and Cardiovascular Risk Factors.

Yi Zhe Wang, Wei Zhao, Farah Ammous, Yanyi Song, Jiacong Du, Lulu Shang, Scott M Ratliff, Kari Moore, Kristen M Kelly, Belinda L Needham and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

17 authors at 4 institutions in 1 country.

Yi Zhe WangDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Farah AmmousDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Yanyi SongDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Jiacong DuDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Lulu ShangDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Scott M RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Kari MooreUrban Health Collaborative, Drexel University, Philadelphia, PA, United States.
Kristen M KellyDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Belinda L NeedhamDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Ana V Diez RouxDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States.
Yongmei LiuDivision of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, United States.
Kenneth R ButlerDepartment of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, United States.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Bhramar MukherjeeDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Xiang ZhouDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · USDrexel University · USDuke University · USUniversity of Mississippi Medical Center · US

Funding

A Social Epigenomic Approach to Health Disparities in Cardiovascular Risk FactorsR01HL141292 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JENNIFER ANN · 2018 to 2021
$2.9M
NHLBI NIH HHS R01 HL141292
6 · The paper itself

Abstract

Low socioeconomic status (SES) and living in a disadvantaged neighborhood are associated with poor cardiovascular health. Multiple lines of evidence have linked DNA methylation to both cardiovascular risk factors and social disadvantage indicators. However, limited research has investigated the role of DNA methylation in mediating the associations of individual- and neighborhood-level disadvantage with multiple cardiovascular risk factors in large, multi-ethnic, population-based cohorts. We examined whether disadvantage at the individual level (childhood and adult SES) and neighborhood level (summary neighborhood SES as assessed by Census data and social environment as assessed by perceptions of aesthetic quality, safety, and social cohesion) were associated with 11 cardiovascular risk factors including measures of obesity, diabetes, lipids, and hypertension in 1,154 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). For significant associations, we conducted epigenome-wide mediation analysis to identify methylation sites mediating the relationship between individual/neighborhood disadvantage and cardiovascular risk factors using the JT-Comp method that assesses sparse mediation effects under a composite null hypothesis. In models adjusting for age, sex, race/ethnicity, smoking, medication use, and genetic principal components of ancestry, epigenetic mediation was detected for the associations of adult SES with body mass index (BMI), insulin, and high-density lipoprotein cholesterol (HDL-C), as well as for the association between neighborhood socioeconomic disadvantage and HDL-C at FDR

Indexed as

adversitydiabetesepigenome-wide association studyhypertensionobesitysocial epigenomicssocioeconomic status

Identifiers

PMID35665255
PMCPMC9162507
OpenAlexW4280565664

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.