Evidence map›Paper›PMID 39468603›Full record

ArticleClinical epigenetics2024

Association analysis between an epigenetic alcohol risk score and blood pressure.

Helena Bui, Amena Keshawarz, Mengyao Wang, Mikyeong Lee, Scott M Ratliff, Lisha Lin, Kira S Birditt, Jessica D Faul, Annette Peters, Christian Gieger and 28 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors.

Helena Bui *Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Amena Keshawarz *Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Mengyao Wang *Department of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
Mikyeong LeeEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.
Scott M RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Lisha LinDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Kira S BirdittSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Jessica D FaulSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Christian GiegerGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Thomas DelerueResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA.
Jie YaoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, USA.
Yi LiDepartment of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
Xue LiuDepartment of Biostatistics, Boston University School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
Dan LiuPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Juliana F TavaresPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Gökhan PehlivanPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Monique M B BretelerPopulation Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Irma KarabegovicDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Carolina Ochoa-RosalesDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Trudy VoortmanDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Mohsen GhanbariDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Joyce B J van MeursDepartment of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Mohamed Kamal NasrInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Marcus DörrGerman Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany.
Stephanie J LondonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.
Alexander TeumerInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Melanie WaldenbergerGerman Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
David R WeirSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Daniel LevyPopulation Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA. levyd@nhlbi.nih.gov.
Jiantao MaGerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA. jiantao.ma@tufts.edu.
Chunyu LiuFramingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA. liuc@bu.edu.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Trans-omic Analysis of Alcohol Consumption and its Relation to Cardiovascular DiseaseR01AA028263 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU, MA, JIANTAO · 2021 to 2025
$2.6M
NHLBI NIH HHS R01 HL105756NIAAA NIH HHS R01 AA028263NIA NIH HHS U01 AG009740NIH HHS R01AA028263
6 · The paper itself

Abstract

backgroundEpigenome-wide association studies have identified multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. This study aimed to test the hypothesis that an alcohol consumption epigenetic risk score (ERS) is associated with blood pressure (BP) traits.

resultsWe implemented an ERS based on a previously reported epigenetic signature of 144 alcohol-associated CpGs in meta-analysis of participants of European ancestry. We found a one-unit increment of ERS was associated with eleven drinks of alcohol consumed per day, on average, across several cohorts (p < 0.0001). We examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with BP levels, i.e., a one-unit increase in ERS was associated with 0.74 mm Hg (p = 0.002) higher SBP and 0.50 mm Hg (p = 0.0006) higher DBP, but not with HTN. Longitudinal analyses in FHS (n = 3260) and five independent external cohorts (n = 4021) showed that the baseline ERS was not associated with a change in BP over time or with incident HTN.

conclusionsOur findings demonstrate that the ERS has potential clinical utility in assessing lifestyle factors related to cardiovascular risk, especially when self-reported behavioral data (e.g., alcohol consumption) are unreliable or unavailable.

Indexed as

Alcohol DrinkingBlood PressureDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyHypertensionAdultAgedCpG IslandsCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsAlcoholBlood pressureDNA methylationEpigenetic risk scoreHypertension

Identifiers

PMID39468603
PMCPMC11520477

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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.