Evidence map›Paper›PMID 34937574›Full record

ArticleClinical epigenetics2021

Associations between DNA methylation and BMI vary by metabolic health status: a potential link to disparate cardiovascular outcomes.

Whitney L Do, Steve Nguyen, Jie Yao, Xiuqing Guo, Eric A Whitsel, Ellen Demerath, Jerome I Rotter, Stephen S Rich, Leslie Lange, Jingzhong Ding and 15 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2021. 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
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

25 authors at 14 institutions in 1 country.

Whitney L DoNutrition and Health Sciences Program, Laney Graduate School, Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA. lwhitney16@gmail.com.ORCID 0000-0001-8977-9951
Steve NguyenHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA.
Jie YaoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Xiuqing GuoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Eric A WhitselDepartments of Epidemiology and Medicine, University of North Carolina, Chapel Hill, NC, USA.
Ellen DemerathDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Leslie LangeDivision of Biomedical Informatics & Personalized Medicine, School of Medicine, Colorado University Anschutz Medical Campus, Aurora, CO, USA.
Jingzhong DingGerontology and Geriatric Medicine, School of Medicine, Wake Forest, Winston-Salem, NC, USA.
David Van Den BergDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Yongmei LiuDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.
Anne E JusticeCenter for Biomedical and Translational Informatics, Geisinger, Wilkes-Barre, PA, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Steve HorvathDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
Themistocles L AssimesDepartment of Medicine, Stanford University, Stanford, CA, USA.
Parveen BhattiCancer Control Research, BC Cancer, Vancouver, BC, Canada.
Kristina JordahlDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Aladdin ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA.
Celina I ValenciaCollege of Medicine, University of Arizona Cancer Center, Tucson, AZ, USA.
Aryeh D SteinHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Alicia SmithDepartment of Gynecology and Obstetrics, School of Medicine, Emory University, Atlanta, GA, USA.
Lisa R StaimezHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Karen ConneelyDepartment of Human Genetics, Emory University, Atlanta, GA, USA.
K M Venkat NarayanHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Emory University · USUCLA Medical Center · USUniversity of California San Diego · USUniversity of Minnesota · USDuke University · USStanford University · USUniversity of Arizona · USUniversity of California, Los Angeles · USUniversity of Colorado Anschutz Medical Campus · USUniversity of North Carolina at Chapel Hill · USUniversity of Southern California · USUniversity of Virginia · USUniversity of Washington · USWake Forest University · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Institutional Career Development CoreKL2TR002381 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Anandi Nayan Sheth · 2017 to 2026
$14.1M
Neuro HPA Project 1U54AG062334 · NIA · EMORY UNIVERSITY · PI Ighovwerha Ofotokun · 2018 to 2026
$12.2M
Social Stress, Adiposity, and Breast CancerR01CA253302 · NCI · UNIVERSITY OF ARIZONA · PI BEA, JENNIFER WRIGHT · 2020 to 2022
$1.4M
Improving the Health of Aging Women and Men.T32AG058529 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LACROIX, ANDREA Z. · 2019 to 2023
$1.2M
Cancer Prevention and Control Health Disparities Training ProgramT32CA078447 · NCI · UNIVERSITY OF ARIZONA · PI ALBERTS, DAVID SAMUEL, HARRIS, ROBIN B · 2016 to 2020
$1.2M
NCATS NIH HHS KL2 TR002381NCATS NIH HHS UL1 TR002378NCI NIH HHS R01 CA253302NCI NIH HHS T32 CA078447NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS HHSN268201600034INHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800001INHLBI NIH HHS HHSN268201800002INIA NIH HHS T32 AG058529NIA NIH HHS U54 AG062334
6 · The paper itself

Abstract

backgroundBody mass index (BMI), a well-known risk factor for poor cardiovascular outcomes, is associated with differential DNA methylation (DNAm). Similarly, metabolic health has also been associated with changes in DNAm. It is unclear how overall metabolic health outside of BMI may modify the relationship between BMI and methylation profiles, and what consequences this may have on downstream cardiovascular disease. The purpose of this study was to identify cytosine-phosphate-guanine (CpG) sites at which the association between BMI and DNAm could be modified by overall metabolic health.

resultsThe discovery study population was derived from three Women's Health Initiative (WHI) ancillary studies (n = 3977) and two Atherosclerosis Risk in Communities (ARIC) ancillary studies (n = 3520). Findings were validated in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort (n = 1200). Generalized linear models regressed methylation β values on the interaction between BMI and metabolic health Z score (BMI × MHZ) adjusted for BMI, MHZ, cell composition, chip number and location, study characteristics, top three ancestry principal components, smoking, age, ethnicity (WHI), and sex (ARIC). Among the 429,566 sites examined, differential associations between BMI × MHZ and DNAm were identified at 22 CpG sites (FDR q < 0.05), with one site replicated in MESA (cg18989722, in the TRAPPC9 gene). Three of the 22 sites were associated with incident coronary heart disease (CHD) in WHI. For each 0.01 unit increase in DNAm β value, the risk of incident CHD increased by 9% in one site and decreased by 6-10% in two sites over 25 years.

conclusionsDifferential associations between DNAm and BMI by MHZ were identified at 22 sites, one of which was validated (cg18989722) and three of which were predictive of incident CHD. These sites are located in several genes related to NF-kappa-B signaling, suggesting a potential role for inflammation between DNA methylation and BMI-associated metabolic health.

Indexed as

Body Mass IndexAgedCardiovascular DiseasesCohort StudiesDNA MethylationFemaleHumansMaleMetabolic DiseasesMiddle AgedDNA methylationEpigeneticsMetabolically healthyObesity

Identifiers

PMID34937574
PMCPMC8697469
OpenAlexW4200075234

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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.